Download:
pdf |
pdfAppendix D: Nonresponse Analysis
Appendix D: Nonresponse Analysis
Nonresponse in the O*NET Data Collection Program can occur from any of three sources.
Establishments can cause nonresponse when they fail to participate at the verification, screening,
recruiting, or sampling stage of selection. This type of nonresponse is referred to as establishment
nonresponse. A second type of nonresponse, referred to as employee nonresponse, occurs at the employee
level when a selected employee fails to complete and return a questionnaire. Finally, employees who
return their questionnaires may inadvertently or intentionally skip one or more items on the questionnaire.
This type of missing data is known as item nonresponse. These three types of nonresponse are discussed
here.
The data analyzed here come from the Establishment Method data included in Analysis Cycles
16–18.1 Data from the Occupation Expert (OE) Method does not lend itself to this type of analysis: OE
Method respondents are not sampled through establishments and are often volunteer respondents not
related to a target population from which bias can be measured.
D.1
How Nonresponse Is Related to Bias
Nonresponse bias is the expected difference between an estimate from the responding cases and
an estimate from all cases originally selected from the target population. The extent to which nonresponse
bias occurs ultimately depends on (1) the extent of missing data and (2) the difference in an estimate
between respondents and nonrespondents. For example, consider the equation
X pR X R pN X N
,
(1)
which says that an overall population estimate, X , depends on the proportion of respondents and
nonrespondents (denoted p R and p N , respectively, with p R + p N = 1) and the mean response from
both respondents and nonrespondents (denoted X R and X N ). Bias due to nonresponse is given by the
equation
Bias ( X R ) = X R X ,
1
(2)
A total of 18 analysis cycles have been completed through June 2017. An analysis of nonresponse in Analysis
Cycles 1–3 was included in the September 2005 Office of Management and Budget submission (Appendix E); an
analysis of nonresponse in Cycles 4–8 was included in the December 2008 Office of Management and Budget
submission (Appendix H); an analysis of nonresponse in Cycles 9–12 was included in the April 2012 Office of
Management and Budget submission (Appendix E); and an analysis of nonresponse in Cycles 13–15 was included
in the August 2015 Office of Management and Budget submission (Appendix E).
D-1
Appendix D: Nonresponse Analysis
OMB Supporting Statement
demonstrating that bias varies as a function of the overall population estimate and the mean response from
respondents. In the estimate, the bias due to nonresponse increases as the difference between X R and X
increases. Now, substituting Equation (1) into Equation (2) gives
Bias ( X R ) = X R (1– p R ) – pN X N ,
(3)
and because 1 − p R = p N , Equation (3) can be expressed as
Bias ( X R ) = p N ( X R X N ).
(4)
Equation (4) reveals that the components of nonresponse bias depend on the proportion of
nonrespondents in the eligible sample and the difference between mean responses for respondents and
those for nonrespondents. If either or both components are small, then the bias should also be small. If
important biases occur, usually a substantial proportion of nonrespondents ( p N ) exists and there is a
large difference between the mean responses (Kish, 1965). When one uses sample data to approximate
bias, the components p N , X R , and X N can be estimated with sample data across attributes that can be
measured for both respondents and nonrespondents. Unless a special nonresponse follow-up study is
conducted, it is rarely possible to measure any of the primary study outcome variables on the
nonrespondents; if any such data existed, they would be on respondents. Thus, to obtain surrogates for the
primary outcome variables, it is necessary to turn to other variables, those available for both respondents
and nonrespondents. If respondent data indicate that the surrogate variables are related to the primary
outcome variables, then any nonresponse bias, or lack thereof, observed in the surrogate variables can be
inferred to the primary outcome variables. Such approximations are not deterministic but can evince
potential nonresponse bias.
The likelihood of missing data may be related to an observed variable, such as the number of
employees in a business establishment. For example, employees from larger establishments may be less
likely to respond than employees from smaller establishments. Analyzing work activities, work context,
or knowledge across jobs within an occupation could therefore be subject to bias if the work performed
differs systematically by establishment size—that is, if employees in larger establishments tend to
respond differently from employees in smaller establishments. In this hypothetical example, employees in
larger establishments may be less likely to respond, and if they do respond, they may respond differently
from employees in smaller establishments. This situation would cause both components of nonresponse
bias ( p N and X R X N ) to be magnified.
In general, restricting an analysis to only those cases that are observed may introduce bias into the
results unless the missing-data mechanism is accounted for in the analysis (Graham, Hofer, & Piccinin,
1994; Little & Rubin, 1987; Schafer, 2000). Weighting is one common method of adjusting for
nonresponse patterns on the basis of observed values (Little & Rubin, 1987). The O*NET Data Collection
Program incorporates weighting as one method for protecting against the influence of nonresponse bias.2
2
For a discussion of weighting, see Section B.1.1 in Part B of the Supporting Statement.
D-2
OMB Supporting Statement
D.2
Appendix D: Nonresponse Analysis
Establishment Nonresponse
Exhibit D-1 displays the establishment eligibility and response rates for Analysis Cycles 16–18
by stage of data collection; Exhibit D-2 compares the distribution of respondents and nonrespondents
across various establishment attributes. (All exhibits are at the end of this appendix.) The analysis
population of establishments includes any establishment that had at least one of its assigned occupations
published in Analysis Cycles 16–18, whether or not any of the occupations were eventually selected from
that establishment.3 The rates and distributions are presented separately by various variables to allow
examination of the possibility of nonresponse bias. These variables were selected because they were
available for both respondents and nonrespondents and were likely to be related4 to the primary outcome
variables of the O*NET Program.
The following describes the major row headings within Exhibits D-1 and D-2:
•
Census Division is assigned according to the address of the establishment.
•
Total Employees in Establishment is the establishment’s total employment estimate on the
sample frame. The category unknown for total employees in an establishment is an actual
frame classification.
•
SIC Division is the Standard Industry Classification of the establishment.
•
NAICS Sector is the North American Industry Classification System of the establishment.
•
Number of Occupations on Establishment Sampling List is the number of occupations linked
to an establishment’s sampling list. This number may be viewed as a measure of the point of
contact’s (POC’s) perceived level of burden.
•
Time Zone and Metropolitan Status were assigned according to the establishment’s ZIP code.
D.2.1 Establishment Final Unweighted Response Rates
Exhibit D-1 displays the establishment eligibility and response rates for Analysis Cycles 16–18
by stage of data collection.
The following describes the Exhibit D-1 column headings:
3
4
•
Total Estab is the total number of selected establishments at the verification stage.
•
Verification, Screening, Recruiting, and Sampling refer to the four stages of data collection
used in recruiting establishments. Only those establishments that responded at the previous
stage were used in the computation of rates. For example, screening rates reflect only
establishments that responded at the verification stage. Final rates are combined rates across
all stages of data collection. All establishments are considered to be eligible at the verification
stage. At subsequent stages, nonrespondents from the previous stage are removed from the
denominator of the eligibility rate; therefore, the final eligibility rate, defined as the total
number of eligible establishments divided by the total establishments in the sample, is not
equivalent to the product of the eligibility rates at each stage. Similarly, establishments that
Establishments that had employee sampling suspended for all assigned occupations are not included in the
establishment nonresponse analysis. See Section B.1.1 for a description of these procedures.
Based on logistic regression modeling results of establishment-level response propensity.
D-3
Appendix D: Nonresponse Analysis
OMB Supporting Statement
were identified as ineligible in the previous stage are not included in the denominator of the
response rate for a particular stage. Thus, the final response rate, defined as the total number
of responding establishments divided by the total number of eligible establishments in the
sample, is not the product of the response rates at each stage.
•
Elig is the percentage of establishments that are considered eligible. Establishments are
considered survey eligible if they are classified as (1) at the same street address or building as
in the sampling frame, (2) in business (permanently or temporarily), (3) able to be located,
and (4) not a duplicate.
•
Resp is the percentage of eligible establishments that are considered respondents; that is, they
did not refuse to participate in the study. This includes participating establishments where
none of the target occupations were present.
The data in Exhibit D-1 reveal that the final unweighted response rate for establishments was
70.6%. The final eligibility rate was 80.8%.5 The data also indicate that response rates varied for the four
data collection stages, with the lowest response rate occurring at the recruiting stage (82.4%) and the
lowest eligibility rate occurring at the verification stage (83.5%). These results are intuitive for the
following reasons:
•
Typically, it was not until the recruiting stage of data collection that the POC realized the
burden involved in participation. Consequently, it was expected that most nonresponse would
occur at this stage.
•
The lowest eligibility rate was expected at the verification stage, when each establishment
was first contacted and when establishments that closed or moved their businesses were first
identified.
Using frame information, one can compare the respondents and nonrespondents across various
attributes to approximate nonresponse bias. An estimate of the first source of nonresponse bias can be
found in Exhibit D-1 under the column headed Final Resp. As mentioned above, low response rates
indicate possible nonresponse bias. The response rate for each level of a specific attribute was compared
against the overall value to determine whether the difference was significant. This assessment was
conducted separately for each stage of data collection. Differences statistically significant at the 0.05 level
are indicated with an asterisk (*).6
Census Division. Establishments in the West North Central region (74.1%) had the highest
significant final response rate, whereas the Middle Atlantic region (67.7%) had the lowest significant final
response rate.
Total Employees in Establishment. Across all establishment size categories except Unknown, a
general decreasing trend appears in the final response rates as the size of the establishment increases. This
pattern suggests that the perceived burden on the POCs in smaller establishments may have been lower
than the perceived burden on the POCs in larger establishments. In addition, in larger organizations,
5
6
Unweighted rates were used because appropriate weights were not available for ineligible or nonresponding
establishments.
The tests were conditioned on the overall rates because the objective was to identify any subgroups that differed
from the observed overall rate.
D-4
OMB Supporting Statement
Appendix D: Nonresponse Analysis
participation may not be at the discretion of the POC but instead may require corporate approval. This
observation is consistent with those in other literature (e.g., Willimack, Nichols, & Sudman, 2002).
SIC Division. Comparing the different SIC divisions with the overall final response rate, one sees
that Public Administration (83.0%) had the highest significant final response rate, whereas the Retail
Trade (59.4%) industry had the lowest significant final response rate.7
NAICS Sector. Comparing the different NAICS sectors to the overall final response rate, one sees
that Public Administration (83.0%) had the highest significant final response rate, and Accommodation and
Food Service (51.6%) had the lowest significant final response rate.7
Number of Occupations on Establishment Sampling List. The final response rate for
establishments with 1–5 occupations on the sampling list was significantly higher than the overall final
response rate (74.4%, as opposed to 70.6%), and establishments with 10 occupations on the sampling list
had the lowest significant final response rate (52.0%). A decreasing trend in response rates appears to be
generally correlated with an increase in the number of occupations on the establishment sampling list.
Time Zone. Establishments in the Alaska Standard Time zone had the highest significant final
response rate (83.0%). No time zones were significantly lower than the overall rate of 70.6%.
Metropolitan Status. Rural establishments had a final response rate significantly higher than the
overall response rate (76.3% vs 70.6%), whereas urban establishments had a significantly lower final
response rate (69.3%).
D.2.2 Comparison of Establishment Respondents and Nonrespondents
Exhibit D-2 compares the distribution of respondents with the distribution of nonrespondents
across various establishment attributes. The column showing Percent Difference (Resp vs. Nonresp) gives
an estimate of the second component of the nonresponse bias formula (Equation [4]). An estimate of the
nonresponse bias across an attribute (see Equation [2]) is shown under the final column, Percent
Difference (Resp vs. Overall). As discussed above, a potential source of nonresponse bias occurs when
this difference becomes large. Differences in the final column marked with an asterisk are statistically
different from zero at the 0.05 level. Large positive or negative values indicate possible nonresponse bias.
Although numerous statistically significant differences exist, large sample sizes tend to increase the
likelihood that very small differences will be statistically significant. In this situation, it is important to
determine whether the differences are of sufficient magnitudes to be meaningful. For establishment
nonresponse, the differences between respondents and the overall sample do not appear to be meaningful:
84.1% of the attributes had an absolute difference of less than 1 percentage point, 12.7% had an absolute
difference of 1–2 percentage points, and 3.2% had an absolute difference of 2 or more percentage points.8
7
Response rate patterns by SIC Division and NAICS Sector were highly dependent on the occupations included in a
particular collection of occupations. These findings would not, therefore, necessarily apply to a different set of
occupations in another analysis cycle.
8
Absolute difference is the absolute value of the final column of Exhibit D-2.
D-5
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Another measure of potential nonresponse bias is the effect size, as defined by (Cohen, 1988). In
this case, the effect size is related to the chi-square test for comparing the equivalence of percentage
distributions from respondents with those of the overall sample. The effect size, w, is calculated using the
following formula:
w
m
poi p1i 2
i 1
poi
,
(5)
where m represents the number of categories (e.g., Census division), 𝑝0𝑖 is the overall distribution, and
𝑝1𝑖 represents the distribution among the respondents.
Under the guidelines suggested by Cohen, an effect size is classified as “small” when it is about
0.10, as “medium” when it is about 0.30, and as “large” when it is about 0.50. For the variables in
Exhibit D-2, all of the effect sizes were small, with the largest effect size being equal to 0.11 for Number
of Occupations on Establishment Sampling List. These results suggest that the distribution of the
variables for respondents and that for nonrespondents are quite similar (i.e., X R X N is small).
The combination of relatively small absolute differences and small effect sizes indicates a low
likelihood of bias due to establishment nonresponse.
D.3
Employee Nonresponse
Like establishment nonresponse, employee nonresponse is difficult to thoroughly characterize in
the O*NET Data Collection Program because relatively little information is known about the
nonrespondents (except for some descriptive frame characteristics). However, as with the establishment
level, using information known about both responding and nonresponding employees enables indirect
determination of whether the nonrespondents are different from the respondents across variables that may
be highly correlated with the survey data being collected. In this way, potential sources of nonresponse
bias can be approximated at the employee level.
Exhibit D-3 displays the unweighted response rates for employees; Exhibit D-4 compares the
distribution of respondents and nonrespondents across various employee attributes from Establishment
Method data collection for occupations published in Analysis Cycles 16–18.9
In addition to the categories displayed in Exhibits D-1 and D-2, Exhibits D-3 and D-4 also
display response rates by the following employee-level characteristics (rows):
•
9
Total Selected Employees in Establishment is the number of employees who were selected
from the establishment. Note that this value ranges only from 1 to 20. This range reflects the
rule that no more than 20 employees may be selected from any single establishment per
12-month period.
Unweighted rates were used because appropriate weights were not available for nonresponding employees.
D-6
OMB Supporting Statement
Appendix D: Nonresponse Analysis
•
Questionnaire Type is the type of questionnaire that the employee was selected to complete.
There are three questionnaire types: Work Activities, Work Context, and Knowledge.
•
Occupation Class is derived from the first two digits of the O*NET occupation code.
The response rates are presented separately by the various row variables to reveal any possibility
of nonresponse bias. These variables were selected because they were available for both respondents and
nonrespondents and were likely to be related10 to the primary outcome variables of the O*NET Program.
D.3.1 Employee Final Unweighted Response Rates
An estimate of the second source of nonresponse bias can be found in Exhibit D-3 under the
column headed Response Rate. As discussed in Section D-1, low response rates may indicate nonresponse
bias. RTI assessed the response rate for each level of a specific covariate against the overall value to
determine whether the difference was significant. Differences statistically significant at the 0.05 level are
indicated with an asterisk (*).11
Census Division. Employees in the East South Central region had the highest significant response
rate (67.8%), whereas employees in the Pacific region had the lowest significant response rate (59.0%).
The overall response rate was 62.9%.
Total Employees in Establishment. The response rate for employees from establishments with
1–4 employees had the highest significant response rate (69.5%). The lowest significant response rate was
for employees from establishments with 1,000–4,999 employees (59.5%). The overall response rate was
62.9%.
SIC Division. Employees in the Finance, Insurance, Real Estate industry had the highest
significant response rate (68.5%). Employees from the Transportation, Communication, Electric, Gas, and
Sanitary Services industry had the lowest significant response rate (54.8%).
NAICS Sector. Employees in the Other Services, Except Public Administration sector had the
highest significant response rate (71.9%).12 Employees in the Transportation and Warehousing sector had
the lowest significant response rate (49.4%).
Total Selected Employees in Establishment. The highest significant response rate was for
employees from establishments with only 1 selected employee (73.4%). The lowest significant response
rate was for employees from establishments with 19 employees selected (40.2%).
Questionnaire Type. The Work Context questionnaire had a significantly higher response rate
(64.9%) than the overall response rate of 62.9%. The Work Activities questionnaire had the lowest
significant response rate (61.6%).
10
Based on logistic regression modeling results of both establishment-level and employee-level response propensity.
The tests were conditioned on the overall rates because the objective was to identify any subgroups that differed
from the observed overall rate.
12
The response rate for NAICS Sector Management of Companies and Enterprises was 100%, but because only
three employees were sampled, this figure was not considered a reliable estimate.
11
D-7
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Number of Occupations on Establishment Sampling List. None of the response rates for the
Number of Occupations on the Establishment Sampling List were significantly different from the overall
rate.
Occupation Class. Community and Social Services Occupations had a significantly higher
response rate (73.0%) than the overall response rate (62.9%). Healthcare Support Occupations had the
lowest significant response rate (41.4%).13
Time Zone. The response rate in the Eastern Standard Time zone (64.4%) was significantly
higher than the overall response rate (62.9%). The response rate in the Pacific Standard Time zone
(58.5%) was significantly lower than the overall response rate.
Metropolitan Status. The response rate for employees in a rural area was significantly higher
than the overall response rate (65.3% and 62.9%, respectively), and the response rate for employees in an
urban area was significantly lower (62.1%).
D.3.2 Comparison of Employee Respondents and Nonrespondents
Exhibit D-4 presents a comparison of the distribution of respondents and nonrespondents across
various employee attributes. The column Percent Difference (Resp vs. Nonresp) reveals an estimate of the
second component of the nonresponse bias formula (see Equation [4]). The column Percent Difference
(Resp vs. Overall) shows an estimate of the nonresponse bias across an attribute (see Equation [2]). As
discussed above, a potential source of nonresponse bias occurs when this difference becomes large. Resps
vs. Overall differences marked with an asterisk are statistically different from zero at the 0.05 level. Large
positive or negative values indicate possible nonresponse bias. Although numerous statistically significant
differences exist, large sample sizes tend to increase the likelihood that very small differences will be
statistically significant. In this situation, it is important to determine whether the differences are of
sufficient magnitudes to be meaningful. For employee nonresponse, the differences between respondents
and the overall sample do not appear to be meaningful; for example, 92.5% of the attributes had an
absolute difference of less than 1 percentage point, and the remaining 7.5% had an absolute difference of
1–2 percentage points.11
Another measure of potential nonresponse bias is the effect size, as defined by (Cohen, 1988).
See Section D.2.2 for a full explanation. The combination of small absolute differences and very small
effect sizes indicates a low likelihood of bias due to employee nonresponse.
D.4
Item Nonresponse
Exhibits D-5 through D-11 display unweighted item response rates by item, item type, and
occupation for Establishment Method data included in Analysis Cycles 16–18. These tables include
questionnaire data from employee respondents in the occupations published in Analysis Cycles 16–18 and
completed under the Establishment Method. Only items from those questionnaires that satisfied all
13
Because no Military Specific Occupations were included among the occupations in Analysis Cycles 16–18, the
response rate of 0% is not applicable to this analysis.
D-8
OMB Supporting Statement
Appendix D: Nonresponse Analysis
completeness and quality requirements were evaluated. Cases that did not satisfy such requirements were
included as employee nonrespondents.
Item nonresponse is analogous to partial-information patterns in which some variables are
observed and some are missing. Even though partial information is present, item nonresponse can still
create biased parameter estimation if the missing values are systematically related to the outcome (e.g.,
wealthy respondents tend to leave an income question unanswered).
Work Activities, Work Context, and Knowledge. The data in Exhibits D-5 through D-7 suggest
that, for the Work Activities, Work Context, and Knowledge Questionnaires, little item nonresponse
exists with respect to any single item on any questionnaire. The lowest response rate for any specific item
in each questionnaire is 93.2% for Work Activities Questionnaire Item 40 (Level), 97.7% for Work
Context Questionnaire Item 49, and 88.2% for Knowledge Questionnaire Item 8 (Level). In addition, as
seen in Exhibit D-10, item nonresponse is slightly more prevalent for Level items than for Importance
items, regardless of questionnaire type.
Occupation-Specific Tasks. It appears from Exhibit D-8 that item nonresponse may be more
serious for certain Frequency and Importance items than for others and for some occupations more than
others (e.g., 51-9194.00, Etchers and Engravers, accounted for 3 of the top 10 lowest item response rates).
It should be noted, however, that the eligible sample size is small for these Frequency and Importance
items because a responding employee is not required to respond to the corresponding Frequency and
Importance item if he or she does not consider a task to be relevant. Most of the Frequency and
Importance items with a low response rate were suppressed from publication because they were also
found to be not relevant to the occupation (i.e., too few respondents rated the task as relevant).
Background Questionnaire. In Exhibit D-9, the item response rates appear to be nearly constant
and high (nearly 93% or greater), with the exception of Item 4 (88.7%), which elicits information from
the respondent about working in a family business.
Item Type. All the response rates by item type were 95.5% or higher (Exhibit D-10).
Occupation. Item response rates are provided in Exhibit D-11 for all occupations completed in
Analysis Cycles 16–18. The overall item response rate was 97.6%, with the lowest response rate, 90.3%,
coming from Pressers, Textile, Garment, and Related Materials (occupation code 51-6021.00). The
highest response rate, 99.4%, came from Actors (occupation code 27-2011.00).
The extremely high item response rates indicate a low likelihood of bias due to item nonresponse.
D.5
Conclusion
Unit and item nonresponse can lead to biased inferences if the nonresponse rates are high and
respondents and nonrespondents differ with regard to the characteristics of interest. An examination of
both establishment and employee response rates revealed that nonresponse patterns were somewhat
related to essentially all variables considered in the analyses; however, when examined, the distribution of
respondents and nonrespondents across various frame attributes showed that the overall potential for
nonresponse bias at both the establishment and employee levels was negligible. Because nonresponse
D-9
Appendix D: Nonresponse Analysis
OMB Supporting Statement
patterns for both establishments and employees are related to the substantive variables measured in the
study, using these variables for nonresponse adjustments to the analysis weights should be effective in
reducing the minimal effects, if any, due to nonresponse bias in the analysis.
At the item level, it was found that different questionnaire types and questions exhibited varying
response rates, and in most cases the response rates were extremely high. This finding coincides with the
findings at the establishment and employee levels—that is, that the potential for significant nonresponse
bias due to item nonresponse is negligible.
D-10
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-1. Establishment Eligibility and Response Rates (Percent)
Category
Total
Estab
Transportation,
Communication,
Electric, Gas, and
Sanitary Services
Wholesale Trade
Retail Trade
Finance, Insurance,
Real Estate
Services
Public Administration
Screening
Recruiting
Sampling
Final
Elig
Resp
Elig
Resp
Elig
Resp
Elig
Resp
Elig
Resp
83.5
98.3
97.8
91.6
99.5
82.4
100.0
95.5
80.8
70.6
83.0
82.1*
85.4*
87.4*
82.4*
85.7*
83.5
83.1
82.2*
98.1
98.3
98.5
98.5
98.3
99.0*
98.4
98.1
98.0
97.3
97.7
98.0
98.1
97.7
98.0
98.0
97.7
97.5
91.4
90.2*
91.5
93.4*
92.3
93.9*
90.9
93.8*
90.4*
99.5
99.4
99.5
99.6
99.6
99.4
99.5
99.4
99.6
83.4
80.4*
81.9
84.5*
83.3
81.0
81.0*
84.4*
82.8
100.0
99.9
99.9
100.0
100.0
99.9
100.0
99.9
100.0
96.1
95.4
95.7
95.5
95.7
95.0
94.5*
95.4
95.5
80.0
79.2*
82.9*
85.1*
79.8*
83.2*
81.0
80.2
79.3*
71.5
67.7*
70.4
74.1*
72.1*
71.4
68.3*
73.8*
69.9
76.4*
60.6*
77.7*
84.5*
88.0*
89.0*
89.6*
90.1*
91.2*
96.0*
98.4
93.2*
97.2*
98.6*
99.1*
99.0*
99.2*
99.0*
98.9*
97.9
95.1*
94.3*
97.6
98.1*
98.4*
98.3*
98.2*
98.1
97.8
100.0*
94.2*
92.2
93.8*
93.3*
91.5
90.2*
90.7*
89.2*
89.7*
87.2
99.4
99.1*
99.7
99.6
99.6
99.5
99.6
99.3
99.4
100.0*
90.1*
87.6*
88.3*
85.7*
82.3
80.5*
78.2*
76.1*
75.2*
70.7
99.8
100.0*
100.0*
99.9
100.0
99.9
100.0
99.8
99.9
100.0*
97.0*
99.1*
98.3*
96.9*
95.4
93.5*
93.2*
93.8*
91.6*
78.6*
71.3*
56.4*
75.1*
81.9*
86.0*
86.8*
87.4*
87.5*
88.4*
95.9*
80.8*
73.9*
78.9*
76.2*
71.0
67.0*
65.4*
62.7*
60.8*
46.8*
1,045
80.4*
96.8*
97.0
89.4*
99.6
74.9*
100.0*
94.2
77.6*
60.9*
976
4,048
13,878
81.7
78.4*
85.1*
99.0
95.9*
98.8*
96.2*
97.8
98.2*
90.8
90.7
90.7*
98.8
99.4
99.6
83.8
76.8*
81.8
99.8
99.9
100.0
95.6
93.9*
94.5*
77.5*
75.7*
82.9*
71.7
62.4*
69.1*
7,426
81.5*
98.0
97.0*
93.3*
99.4
86.9*
99.9
96.3*
77.9*
76.2*
1,298
4,175
85.7*
85.8*
98.8
98.4
98.3
98.2*
92.2
86.0*
99.5
99.7
81.8
75.0*
99.9
100.0
96.1
94.0*
83.0*
83.6*
71.2
59.4*
3,281
79.3*
98.2
96.8*
84.7*
99.2
77.1*
100.0*
95.9
75.8*
61.2*
14,777
4,664
82.8
89.8*
98.3
99.4*
97.5
98.6*
93.2*
97.3*
99.6
99.5
83.4*
88.7*
100.0
99.9
96.0*
96.9*
79.9*
88.0*
73.0*
83.0*
56,002
Total
Census Division
3,861
New England
8,781
Middle Atlantic
8,329
East North Central
4,157
West North Central
8,713
South Atlantic
2,777
East South Central
5,329
West South Central
4,203
Mountain
9,418
Pacific
Total Employees in Establishment
1,654
Unknown
7,131
1–4
2,305
5–9
13,612
10–49
10,323
50–99
6,198
100–249
8,436
250–499
3,476
500–999
2,383
1,000–4,999
50
5,000+
SIC Division
Agriculture, Forestry,
Fishing
Mining
Construction
Manufacturing
Verification
(continued)
D-11
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-1. Establishment Eligibility and Response Rates (Percent) (continued)
Category
Total
Estab
Verification
Elig
Resp
Screening
Recruiting
Sampling
Final
Elig
Resp
Elig
Resp
Elig
Resp
Elig
Resp
NAICS Sector
Agriculture,
Forestry, Fishing,
and Hunting
843
77.7*
96.5*
97.0
91.0
99.6
78.5*
100.0*
94.4
75.0*
64.9*
Mining
964
81.4
99.0
96.1*
90.6
98.8
83.9
99.8
95.5
77.3*
71.7
Utilities
1,704
89.9*
98.8
97.7
94.6*
99.3
87.4*
99.9
96.8*
86.8*
78.8*
Construction
3,973
78.7*
96.0*
97.8
90.6
99.4
77.0*
99.9
94.1*
76.0*
62.7*
13,024
85.2*
98.8*
98.1*
90.7*
99.6
82.0
100.0
94.6*
83.0*
69.3*
Wholesale Trade
1,339
85.9*
98.9
98.0
92.3
99.5
81.8
99.9
95.9
83.0*
71.3
Retail Trade
3,505
85.6*
98.6
98.4*
87.5*
99.7
77.6*
99.9
95.5
83.4*
63.6*
Transportation and
Warehousing
3,844
79.9*
98.0
96.6*
94.5*
99.4
88.7*
99.9
96.3*
75.5*
78.7*
Information
1,834
77.5*
97.0*
97.6
88.0*
99.7
77.9*
100.0*
95.6
74.9*
63.3*
2,871
79.5*
98.1
96.7*
84.2*
99.2
76.3*
100.0*
95.7
76.0*
60.1*
80.5
98.7
97.3
92.2
99.4
81.7
100.0*
95.8
77.1
71.1
78.9*
97.3*
98.0
89.8*
99.8*
86.5*
100.0*
97.6*
77.0*
73.6*
87.5
100.0*
95.2
85.0
100.0*
82.4
100.0*
100.0*
83.3
70.0
2,300
70.1*
96.0*
97.0
91.6
99.7
82.8
100.0*
95.5
67.1*
69.1
2,023
93.8*
99.9*
97.6
95.3*
99.5
81.7
100.0*
95.2
90.9*
73.9*
3,034
91.5*
99.6*
98.1
95.3*
99.6
85.3*
100.0
96.2
89.1*
77.8*
2,446
77.3*
97.1*
96.7*
96.3*
99.4
85.7*
99.9
96.2
73.5*
76.8*
1,386
89.8*
98.6
98.4
85.6*
99.7
70.1*
100.0*
87.5*
87.9*
51.6*
2,505
81.5*
98.3
97.3
89.5*
99.2
78.6*
99.9
95.6
78.1*
65.7*
4,647
89.8*
99.4*
98.6*
97.3*
99.5
88.7*
99.9
96.9*
88.0*
83.0*
Manufacturing
Finance and
Insurance
Real Estate and
Rental and Leasing
Professional,
Scientific, and
Technical Services
Management of
Companies and
Enterprises
Administrative and
Support and Waste
Management and
Remediation
Services
Educational Services
Health Care and
Social Assistance
Arts, Entertainment,
and Recreation
Accommodation and
Food Services
Other Services,
Except Public
Administration
Public
Administration
481
2,821
24
(continued)
D-12
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-1. Establishment Eligibility and Response Rates (Percent) (continued)
Category
Total
Estab
Verification
Screening
Recruiting
Elig
Elig
Elig
Resp
Resp
Resp
Sampling
Elig
Elig
Resp
96.5*
94.5
94.8
93.1*
92.0*
88.1*
78.7*
88.0*
88.0*
85.7*
86.4*
88.6*
74.4*
69.2
67.1*
59.9*
55.5*
52.0*
99.9
100.0
99.9
100.0
100.0*
100.0*
95.7
95.0
95.6
95.4
96.0
97.1
80.2
82.9*
80.0
79.4*
82.1
77.3
70.4
70.4
74.4*
69.6
83.0*
73.3
100.0
99.9
95.5
95.4
84.3*
80.0*
76.3*
69.3*
Number of Occupations on Establishment Sampling List
43,333
81.7*
98.1*
1–5
6
2,275
89.7*
98.6
2,113
90.3*
99.1*
7
1,172
87.5*
98.9
8
9
1,181
88.5*
99.4*
5,494
90.6*
99.1*
10
97.6
98.6*
98.2
98.7*
98.2
98.3*
92.7*
90.6
89.8*
89.1*
84.5*
87.5*
99.5
99.7
99.3
99.4
99.4
99.5
85.1*
82.1
79.9*
73.2*
72.0*
68.4*
99.9
99.9
99.9
99.8
100.0*
100.0*
Time Zone
Eastern Standard Time
Central Standard Time
Mountain Standard Time
Pacific Standard Time
Alaska Standard Time
Hawaii Standard Time
26,867
14,897
3,839
9,431
295
239
83.0
85.4*
82.8
82.2*
85.8
80.3
98.4
98.5
98.0
98.0*
99.2
99.0
97.7
98.0
97.8
97.5
97.2
97.9
91.5
92.0
93.9*
90.4*
96.7*
90.7
99.5
99.5
99.5
99.6
99.5
98.8
82.1
82.0
84.8*
82.6
90.5*
84.5
Metropolitan Status
Rural
Urban
10,237
45,331
86.6*
82.8*
98.6
98.3
98.2*
97.7
95.1*
90.8*
99.5
99.5
85.3*
81.7*
Resp
Final
Note: Response rates were calculated from those establishments that were classified as eligible at each step. Final
rates are combined rates across all stages of data collection. All establishments are considered to be eligible at the
verification stage. At subsequent stages, nonrespondents from the previous stage are removed from the
denominator of the eligibility rate; therefore, the final eligibility rate, defined as the total number of eligible
establishments divided by the total establishments in the sample, is not equivalent to the product of the eligibility
rates at each stage. Similarly, establishments that were identified as ineligible in the previous stage were not
included in the denominator of the response rate for a particular stage. Consequently, the final response rate,
defined as the total number of responding establishments divided by the total number of eligible establishments in
the sample, is not the product of the response rates at each stage. Statistical tests were conducted only for
categories with two or more establishments. SIC = Standard Industrial Classification. NAICS = North American
Industry Classification System.
*Statistically different from the total category at the 0.05 level.
D-13
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-2. Comparison of Establishment Respondents and Nonrespondents
No.
%
No.
%
No.
%
Percent
Difference
Resp vs.
Nonresp
30,870
100.0
12,837
100.0
43,707
100.0
NA
NA
Respondents
Category
Total
Nonrespondents
Overall
Percent
Difference
Resp vs.
Overall
Census Division (effect size = 0.03)
New England
2,152
7.0
857
6.7
3,009
6.9
0.3
0.1
Middle Atlantic
4,564
14.8
2,175
16.9
6,739
15.4
−2.2
−0.6*
East North Central
4,730
15.3
1,988
15.5
6,718
15.4
−0.2
−0.0
West North Central
2,558
8.3
893
7.0
3,451
7.9
1.3
0.4
South Atlantic
4,890
15.8
1,895
14.8
6,785
15.5
1.1
0.3
East South Central
1,611
5.2
645
5.0
2,256
5.2
0.2
0.1
West South Central
2,877
9.3
1,337
10.4
4,214
9.6
−1.1
−0.3
Mountain
2,420
7.8
861
6.7
3,281
7.5
1.1
0.3
Pacific
5,068
16.4
2,186
17.0
7,254
16.6
−0.6
−0.2
Total Employees in Establishment (effect size = 0.08)
Unknown
921
3.0
219
1.7
1,140
2.6
1.3
0.4*
1–4
2,927
9.5
1,035
8.1
3,962
9.1
1.4
0.4
5–9
1,331
4.3
357
2.8
1,688
3.9
1.5
0.4*
10–49
8,200
26.6
2,567
20.0
10,767
24.6
6.6
1.9*
50–99
6,167
20.0
2,515
19.6
8,682
19.9
0.4
0.1
100–249
3,506
11.4
1,728
13.5
5,234
12.0
−2.1
−0.6*
250–499
4,696
15.2
2,488
19.4
7,184
16.4
−4.2
−1.2*
500–999
1,860
6.0
1,105
8.6
2,965
6.8
−2.6
−0.8*
1,000–4,999
1,240
4.0
798
6.2
2,038
4.7
−2.2
−0.6*
22
0.1
25
0.2
47
0.1
−0.1
−0.0
490
1.6
314
2.4
804
1.8
−0.9
−0.3*
5,000+
SIC Division (effect size = 0.09)
Agriculture, Forestry, Fishing
Mining
540
1.7
213
1.7
753
1.7
0.1
0.0
Construction
1,865
6.0
1,124
8.8
2,989
6.8
−2.7
−0.8*
Manufacturing
7,774
25.2
3,475
27.1
11,249
25.7
−1.9
−0.6
Transportation,
Communication, Electric, Gas,
and Sanitary Services
4,243
13.7
1,325
10.3
5,568
12.7
3.4
1.0*
731
2.4
296
2.3
1,027
2.3
0.1
0.0
Retail Trade
2,003
6.5
1,371
10.7
3,374
7.7
−4.2
−1.2*
Finance, Insurance, Real Estate
1,487
4.8
942
7.3
2,429
5.6
−2.5
−0.7*
Services
8,365
27.1
3,088
24.1
11,453
26.2
3.0
0.9*
Public Administration
3,372
10.9
689
5.4
4,061
9.3
5.6
1.6*
Wholesale Trade
(continued)
D-14
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-2. Comparison of Establishment Respondents and Nonrespondents
(continued)
Respondents
Category
No.
%
Nonrespondents
No.
%
Overall
No.
%
Percent
Difference
Resp vs.
Nonresp
Percent
Difference
Resp vs.
Overall
NAICS Sector (effect size = 0.10)
Agriculture, Forestry,
Fishing, and Hunting
Mining
Utilities
Construction
Manufacturing
Wholesale Trade
Retail Trade
Transportation and
Warehousing
Information
Finance and Insurance
Real Estate and Rental and
Leasing
Professional, Scientific, and
Technical Services
Management of Companies
and Enterprises
Administrative and Support
and Waste Management and
Remediation Services
Educational Services
Health Care and Social
Assistance
Arts, Entertainment, and
Recreation
Accommodation and Food
Services
Other Services, Except
Public Administration
Public Administration
407
1.3
220
1.7
627
1.4
−0.4
−0.1
531
1.7
210
1.6
741
1.7
0.1
0.0
1,134
3.7
305
2.4
1,439
3.3
1.3
0.4*
1,846
6.0
1,097
8.5
2,943
6.7
−2.6
−0.8*
7,319
23.7
3,238
25.2
10,557
24.2
−1.5
−0.4
756
2.4
305
2.4
1,061
2.4
0.1
0.0
1,794
5.8
1,027
8.0
2,821
6.5
−2.2
−0.6*
2,157
7.0
584
4.5
2,741
6.3
2.4
0.7*
848
2.7
492
3.8
1,340
3.1
−1.1
−0.3*
1,283
4.2
853
6.6
2,136
4.9
−2.5
−0.7*
253
0.8
103
0.8
356
0.8
0.0
0.0
1,583
5.1
567
4.4
2,150
4.9
0.7
0.2
14
0.0
6
0.0
20
0.0
−0.0
−0.0
1,038
3.4
464
3.6
1,502
3.4
−0.3
−0.1
1,311
4.2
462
3.6
1,773
4.1
0.6
0.2
2,043
6.6
584
4.5
2,627
6.0
2.1
0.6*
1,331
4.3
402
3.1
1,733
4.0
1.2
0.3*
621
2.0
582
4.5
1,203
2.8
−2.5
−0.7*
1,242
4.0
648
5.0
1,890
4.3
−1.0
−0.3*
3,359
10.9
688
5.4
4,047
9.3
5.5
1.6*
4.1*
Number of Occupations on Establishment Sampling List (effect size = 0.11)
1–5
24,591
79.7
8,454
65.9
33,045
75.6
13.8
6
1,378
4.5
614
4.8
1,992
4.6
−0.3
−0.1
7
1,232
4.0
603
4.7
1,835
4.2
−0.7
−0.2
8
597
1.9
400
3.1
997
2.3
−1.2
−0.3*
9
564
1.8
453
3.5
1,017
2.3
−1.7
−0.5*
2,508
8.1
2,313
18.0
4,821
11.0
−9.9
10
−2.9*
(continued)
D-15
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-2. Comparison of Establishment Respondents and Nonrespondents
(continued)
Respondents
Category
Time Zone (effect size = 0.02 )
No.
Nonrespondents
Overall
%
No.
%
No.
%
Percent
Difference
Resp vs.
Nonresp
Percent
Difference
Resp vs.
Overall
Eastern Standard Time
14,782
47.9
6,201
48.3
20,983
48.0
−0.4
−0.1
Central Standard Time
8,480
27.5
3,566
27.8
12,046
27.6
−0.3
−0.1
Mountain Standard Time
2,221
7.2
766
6.0
2,987
6.8
1.2
0.4
Pacific Standard Time
5,064
16.4
2,217
17.3
7,281
16.7
−0.9
−0.3
Alaska Standard Time
191
0.6
39
0.3
230
0.5
0.3
0.1
Hawaii Standard Time
132
0.4
48
0.4
180
0.4
0.1
0.0
Metropolitan Status (effect size = 0.04 )
Rural
6,452
20.9
2,007
15.6
8,459
19.4
5.3
1.5*
Urban
24,418
79.1
10,830
84.4
35,248
80.6
−5.3
−1.5*
Note: Because of rounding, the difference columns may not match their constituent parts. Statistical tests were
conducted only for categories with 2 or more establishments.
NA = not applicable. SIC = Standard Industrial Classification. NAICS = North American Industry Classification
System.
*Statistically different from zero at the 0.05 level.
D-16
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-3. Unweighted Employee Response Rates
Category
Total
Census Division
New England
Middle Atlantic
East North Central
West North Central
South Atlantic
East South Central
West South Central
Mountain
Pacific
Sampled
Response Rate
37,339
62.9
2,485
4,801
6,129
3,778
6,032
2,040
3,260
3,043
5,771
63.3
64.3*
63.4
62.5
65.5*
67.8*
60.4*
61.0*
59.0*
751
1,218
928
8,860
7,671
5,288
7,464
3,041
2,076
42
66.3*
69.5*
66.9*
64.1*
62.8
61.3*
62.9
60.0*
59.5*
52.4
538
463
2,424
10,334
5,270
722
2,238
1,077
9,552
4,721
58.6*
60.3
58.6*
63.9*
54.8*
62.0
62.7
68.5*
65.6*
66.0*
Total Employees in Establishment
Unknown
1–4
5–9
10–49
50–99
100–249
250–499
500–999
1,000–4,999
5,000+
SIC Division
Agriculture, Forestry, Fishing
Mining
Construction
Manufacturing
Transportation, Communication, Electric, Gas, and Sanitary Services
Wholesale Trade
Retail Trade
Finance, Insurance, Real Estate
Services
Public Administration
NAICS Sector
Agriculture, Forestry, Fishing, and Hunting
Mining
Utilities
Construction
Manufacturing
Wholesale Trade
428
455
1,083
2,349
9,935
742
56.8*
60.4
63.6
58.2*
64.2*
62.3
(continued)
D-17
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-3. Unweighted Employee Response Rates (continued)
Category
Retail Trade
Transportation and Warehousing
Information
Finance and Insurance
Real Estate and Rental and Leasing
Professional, Scientific, and Technical Services
Management of Companies and Enterprises
Administrative and Support and Waste Management and Remediation
Services
Educational Services
Health Care and Social Assistance
Arts, Entertainment, and Recreation
Accommodation and Food Services
Other Services, Except Public Administration
Public Administration
Sampled
1,775
3,317
992
892
171
868
3
Response Rate
64.8
49.4*
66.2*
67.8*
70.2*
66.1*
100.0*
1,117
67.6*
2,457
1,889
1,196
1,283
1,664
4,723
61.7
63.1
67.0*
57.8*
71.9*
66.0*
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
2,116
2,456
2,379
2,516
2,260
2,610
2,114
11,016
1,314
1,090
957
924
1,092
714
690
1,280
272
270
209
1,060
73.4*
69.8*
66.4*
67.4*
61.0
62.5
64.9*
61.5*
66.7*
60.8
59.8*
59.7*
53.7*
65.4
57.5*
57.0*
65.8
57.8
40.2*
48.5*
Questionnaire Type
Work Activities
Work Context
Knowledge
12,658
12,141
12,540
61.6*
64.9*
62.2
(continued)
Total Selected Employees in Establishment
D-18
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-3. Unweighted Employee Response Rates (continued)
Category
Number of Occupations on Establishment Sampling List
1–5
6
7
8
9
10
Occupation Class
Management Occupations
Business and Financial Operations Occupations
Computer and Mathematical Occupations
Architecture and Engineering Occupations
Life, Physical, and Social Science Occupations
Community and Social Services Occupations
Legal Occupations
Education, Training, and Library Occupations
Arts, Design, Entertainment, Sports, and Media Occupations
Healthcare Practitioners and Technical Occupations
Healthcare Support Occupations
Protective Service Occupations
Food Preparation and Serving Related Occupations
Building and Grounds Cleaning and Maintenance Occupations
Personal Care and Service Occupations
Sales and Related Occupations
Office and Administrative Support Occupations
Farming, Fishing, and Forestry Occupations
Construction and Extraction Occupations
Installation, Maintenance, and Repair Occupations
Production Occupations
Transportation and Material Moving Occupations
Military Specific Occupations
Time Zone
Eastern Standard Time
Central Standard Time
Mountain Standard Time
Pacific Standard Time
Alaska Standard Time
Hawaii Standard Time
Metropolitan Status
Rural
Urban
Sampled
Response Rate
24,852
1,598
1,846
928
1,313
6,802
62.8
60.7
62.1
62.9
63.1
63.9
1,987
1,177
898
1,465
983
267
256
872
1,201
139
239
2,506
891
593
1,297
672
5,004
625
2,415
2,693
8,304
2,855
0
65.3*
65.6*
59.8
64.4
60.7
73.0*
61.3
64.1
65.0
58.3
41.4*
66.3*
54.7*
65.9
70.3*
69.3*
58.1*
60.8
57.6*
65.9*
63.7
62.8
0.0
17,401
11,007
2,749
5,768
206
208
64.4*
63.0
62.2
58.5*
64.1
61.5
9,075
28,264
65.3*
62.1*
Note: Statistical tests conducted only for categories with 2 or more employees. SIC = Standard Industrial
Classification. NAICS = North American Classification System.
*Statistically different from the total category at the 0.05 level.
D-19
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-4. Comparison of Employee Respondents and Nonrespondents
No.
%
No.
%
No.
%
Percent
Difference
Resps vs.
Nonresps
23,477
100.0
13,862
100.0
37,339
100.0
NA
NA
Respondents
Category
Total
Nonrespondents
Overall
Percent
Difference
Resps vs.
Overall
Census Division (effect size = 0.04)
New England
1,574
6.7
911
6.6
2,485
6.7
0.1
0.0
Middle Atlantic
3,086
13.1
1,715
12.4
4,801
12.9
0.8
0.3
East North Central
3,888
16.6
2,241
16.2
6,129
16.4
0.4
0.1
West North Central
2,363
10.1
1,415
10.2
3,778
10.1
−0.1
−0.1
South Atlantic
3,952
16.8
2,080
15.0
6,032
16.2
1.8
0.7*
East South Central
1,383
5.9
657
4.7
2,040
5.5
1.2
0.4*
West South Central
1,968
8.4
1,292
9.3
3,260
8.7
−0.9
−0.3
Mountain
1,857
7.9
1,186
8.6
3,043
8.1
−0.6
−0.2
Pacific
3,406
14.5
2,365
17.1
5,771
15.5
−2.6
−0.9*
Total Employees in Establishment (effect size = 0.03)
Unknown
498
2.1
253
1.8
751
2.0
0.3
0.1
1–4
847
3.6
371
2.7
1,218
3.3
0.9
0.3*
5–9
621
2.6
307
2.2
928
2.5
0.4
0.2
10–49
5,679
24.2
3,181
22.9
8,860
23.7
1.2
0.5
50–99
4,818
20.5
2,853
20.6
7,671
20.5
−0.1
−0.0
100–249
3,239
13.8
2,049
14.8
5,288
14.2
−1.0
−0.4
250–499
4,694
20.0
2,770
20.0
7,464
20.0
0.0
0.0
500–999
1,824
7.8
1,217
8.8
3,041
8.1
−1.0
−0.4*
1,000–4,999
1,235
5.3
841
6.1
2,076
5.6
−0.8
−0.3
22
0.1
20
0.1
42
0.1
−0.1
−0.0
315
1.3
223
1.6
538
1.4
−0.3
−0.1
5,000+
SIC Division (effect size = 0.06)
Agriculture, Forestry, Fishing
279
1.2
184
1.3
463
1.2
−0.1
−0.1
Construction
1,420
6.0
1,004
7.2
2,424
6.5
−1.2
−0.4*
Manufacturing
6,606
28.1
3,728
26.9
10,334
27.7
1.2
0.5
Transportation, Communication,
Electric, Gas, and Sanitary
Services
2,890
12.3
2,380
17.2
5,270
14.1
−4.9
−1.8*
448
1.9
274
2.0
722
1.9
−0.1
−0.0
1,404
6.0
834
6.0
2,238
6.0
−0.0
−0.0
738
3.1
339
2.4
1,077
2.9
0.7
0.3*
Services
6,262
26.7
3,290
23.7
9,552
25.6
2.9
1.1*
Public Administration
3,115
13.3
1,606
11.6
4,721
12.6
1.7
0.6*
Mining
Wholesale Trade
Retail Trade
Finance, Insurance, Real Estate
(continued)
D-20
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-4. Comparison of Employee Respondents and Nonrespondents
(continued)
Respondents
Category
No.
NAICS Sector (effect size = 0.08)
Agriculture, Forestry,
Fishing, and Hunting
Mining
Utilities
Construction
Manufacturing
Wholesale Trade
Retail Trade
Transportation and
Warehousing
Information
Finance and Insurance
Real Estate and Rental and
Leasing
Professional, Scientific, and
Technical Services
Management of Companies
and Enterprises
Administrative and Support
and Waste Management and
Remediation Services
Educational Services
Health Care and Social
Assistance
Arts, Entertainment, and
Recreation
Accommodation and Food
Services
Other Services, Except
Public Administration
Public Administration
%
Nonrespondents
No.
%
Overall
No.
%
Percent
Difference
Resps vs.
Nonresps
Percent
Difference
Resps vs.
Overall
243
1.0
185
1.3
428
1.1
−0.3
−0.1
275
1.2
180
1.3
455
1.2
−0.1
−0.0
689
2.9
394
2.8
1,083
2.9
0.1
0.0
1,367
5.8
982
7.1
2,349
6.3
−1.3
−0.5*
6,374
27.1
3,561
25.7
9,935
26.6
1.5
0.5
462
2.0
280
2.0
742
2.0
−0.1
−0.0
1,150
4.9
625
4.5
1,775
4.8
0.4
0.1
1,639
7.0
1,678
12.1
3,317
8.9
−5.1
−1.9*
657
2.8
335
2.4
992
2.7
0.4
0.1
605
2.6
287
2.1
892
2.4
0.5
0.2
120
0.5
51
0.4
171
0.5
0.1
0.1
574
2.4
294
2.1
868
2.3
0.3
0.1
3
0.0
0
0.0
3
0.0
0.0
0.0
755
3.2
362
2.6
1,117
3.0
0.6
0.2
1,515
6.5
942
6.8
2,457
6.6
−0.3
−0.1
1,192
5.1
697
5.0
1,889
5.1
0.0
0.0
801
3.4
395
2.8
1,196
3.2
0.6
0.2*
742
3.2
541
3.9
1,283
3.4
−0.7
−0.3*
1,197
5.1
467
3.4
1,664
4.5
1.7
0.6*
3,117
13.3
1,606
11.6
4,723
12.6
1.7
0.6*
(continued)
D-21
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-4. Comparison of Employee Respondents and Nonrespondents
(continued)
Category
Respondents
No.
%
Nonrespondents
No.
Overall
%
No.
Percent
Difference
Resps vs.
Nonresps
Percent
Difference
Resps vs.
Overall
%
Total Selected Employees in Establishment (effect size = 0.08)
1
1,554
6.6
562
4.1
2,116
5.7
2.6
1.0*
2
1,715
7.3
741
5.3
2,456
6.6
2.0
0.7*
3
1,580
6.7
799
5.8
2,379
6.4
1.0
0.4*
4
1,697
7.2
819
5.9
2,516
6.7
1.3
0.5*
5
1,378
5.9
882
6.4
2,260
6.1
−0.5
−0.2
6
1,631
6.9
979
7.1
2,610
7.0
−0.1
−0.0
7
1,373
5.8
741
5.3
2,114
5.7
0.5
0.2
8
6,774
28.9
4,242
30.6
11,016
29.5
−1.7
−0.6*
9
876
3.7
438
3.2
1,314
3.5
0.6
0.2
10
663
2.8
427
3.1
1,090
2.9
−0.3
−0.1
11
572
2.4
385
2.8
957
2.6
−0.3
−0.1
12
552
2.4
372
2.7
924
2.5
−0.3
−0.1
13
586
2.5
506
3.7
1,092
2.9
−1.2
−0.4*
14
467
2.0
247
1.8
714
1.9
0.2
0.1
15
397
1.7
293
2.1
690
1.8
−0.4
−0.2
16
729
3.1
551
4.0
1,280
3.4
−0.9
−0.3*
17
179
0.8
93
0.7
272
0.7
0.1
0.0
18
156
0.7
114
0.8
270
0.7
−0.2
−0.1
19
84
0.4
125
0.9
209
0.6
−0.5
−0.2
20
514
2.2
546
3.9
1,060
2.8
−1.7
−0.6*
Questionnaire Type (effect size = 0.02)
Work Activities
7,794
33.2
4,864
35.1
12,658
33.9
−1.9
−0.7*
Work Context
7,882
33.6
4,259
30.7
12,141
32.5
2.8
1.1*
Knowledge
7,801
33.2
4,739
34.2
12,540
33.6
−1.0
−0.4*
Number of Occupations on Establishment Sampling List (effect size = 0.01)
15,600
66.4
9,252
66.7
24,852
66.6
−0.3
−0.1
6
970
4.1
628
4.5
1,598
4.3
−0.4
−0.1
7
1,146
4.9
700
5.0
1,846
4.9
−0.2
−0.1
8
584
2.5
344
2.5
928
2.5
0.0
0.0
9
828
3.5
485
3.5
1,313
3.5
0.0
0.0
4,349
18.5
2,453
17.7
6,802
18.2
0.8
1–5
10
0.3
(continued)
D-22
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-4. Comparison of Employee Respondents and Nonrespondents
(continued)
Respondents
Category
No.
%
Nonrespondents
No.
Overall
%
No.
%
Percent
Difference
Resps vs.
Nonresps
Percent
Difference
Resps vs.
Overall
Occupation Class (effect size = 0.06)
Management Occupations
Business and Financial
Operations Occupations
Computer and Mathematical
Occupations
Architecture and
Engineering Occupations
Life, Physical, and Social
Science Occupations
Community and Social
Services Occupations
Legal Occupations
Education, Training, and
Library Occupations
Arts, Design, Entertainment,
Sports, and Media
Occupations
Healthcare Practitioners and
Technical Occupations
Healthcare Support
Occupations
Protective Service
Occupations
Food Preparation and
Serving Related Occupations
Building and Grounds
Cleaning and Maintenance
Occupations
Personal Care and Service
Occupations
Sales and Related
Occupations
Office and Administrative
Support Occupations
Farming, Fishing, and
Forestry Occupations
Construction and Extraction
Occupations
Installation, Maintenance,
and Repair Occupations
Production Occupations
1,298
5.5
689
5.0
1,987
5.3
0.6
0.2
772
3.3
405
2.9
1,177
3.2
0.4
0.1
537
2.3
361
2.6
898
2.4
−0.3
−0.1
944
4.0
521
3.8
1,465
3.9
0.3
0.1
597
2.5
386
2.8
983
2.6
−0.2
−0.1
195
0.8
72
0.5
267
0.7
0.3
157
0.7
99
0.7
256
0.7
−0.0
−0.0
559
2.4
313
2.3
872
2.3
0.1
0.0
781
3.3
420
3.0
1,201
3.2
0.3
0.1
81
0.3
58
0.4
139
0.4
−0.1
−0.0
99
0.4
140
1.0
239
0.6
−0.6
−0.2*
1,661
7.1
845
6.1
2,506
6.7
1.0
0.4*
487
2.1
404
2.9
891
2.4
−0.8
−0.3*
391
1.7
202
1.5
593
1.6
0.2
0.1
912
3.9
385
2.8
1,297
3.5
1.1
0.4*
466
2.0
206
1.5
672
1.8
0.5
0.2*
2,909
12.4
2,095
15.1
5,004
13.4
−2.7
−1.0*
380
1.6
245
1.8
625
1.7
−0.1
−0.1
1,391
5.9
1,024
7.4
2,415
6.5
−1.5
−0.5*
1,775
7.6
918
6.6
2,693
7.2
0.9
0.3*
5,291
22.5
3,013
21.7
8,304
22.2
0.8
0.1*
0.3
(continued)
D-23
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-4. Comparison of Employee Respondents and Nonrespondents
(continued)
Category
Respondents
Nonrespondents
Overall
Percent
Difference
Resps vs.
Nonresps
Percent
Difference
Resps vs.
Overall
Occupation Class (effect size = 0.06) (cont.)
Transportation and Material
Moving Occupations
Military Specific
Occupations
1,794
7.6
1,061
7.7
2,855
7.6
−0.0
−0.0
0
0.0
0
0.0
0
0.0
—
—
2.9
1.1*
Time Zone (effect size = 0.03)
Eastern Standard Time
11,198
47.7
6,203
44.7
17,401
46.6
Central Standard Time
6,936
29.5
4,071
29.4
11,007
29.5
0.2
0.1
Mountain Standard Time
1,709
7.3
1,040
7.5
2,749
7.4
−0.2
−0.1
Pacific Standard Time
3,374
14.4
2,394
17.3
5,768
15.4
−2.9
−1.1*
Alaska Standard Time
132
0.6
74
0.5
206
0.6
0.0
0.0
Hawaii Standard Time
128
0.5
80
0.6
208
0.6
−0.0
−0.0
Metropolitan Status (effect size = 0.02)
Rural
5,927
25.2
3,148
22.7
9,075
24.3
2.5
0.9*
Urban
17,550
74.8
10,714
77.3
28,264
75.7
−2.5
−0.9*
Notes: Because of rounding, the difference columns may not match their constituent parts. Statistical tests were
conducted only for categories with two or more employees. A dash (—) indicates that estimates do not apply
because the sample was not observed for either respondents or nonrespondents.
NA = not applicable, NAICS = North American Classification System, SIC = Standard Industrial Classification.
*Statistically different from zero at the 0.05 level.
D-24
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-5. Ten Lowest Item Response Rates, Work Activities Questionnaire
Sampled
Response
Rate
Recruiting, interviewing, selecting, hiring, and promoting
employees in an organization.
3,247
93.2
Providing documentation, detailed instructions, drawings, or
specifications to tell others about how devices, parts, equipment,
or structures are to be fabricated, constructed, assembled,
modified, maintained, or used.
3,534
94.9
Performing for people or dealing directly with the public. This
includes serving customers in restaurants and stores, and
receiving clients or guests.
4,628
95.2
Translating or explaining what information means and how it can
be used.
5,769
95.3
Servicing, repairing, calibrating, regulating, fine-tuning, or
testing machines, devices, and equipment that operate primarily
on the basis of electrical or electronic (not mechanical)
principles.
3,867
95.4
Monitoring and controlling resources and overseeing the
spending of money.
4,652
95.4
Estimating sizes, distances, and quantities; or determining time,
costs, resources, or materials needed to perform a work activity.
5,739
95.7
Establishing long-range objectives and specifying the strategies
and actions to achieve them.
5,527
95.7
Identifying information by categorizing, estimating, recognizing
differences or similarities, and detecting changes in
circumstances or events.
6,576
95.9
Convincing others to buy merchandise/goods or to otherwise
change their minds or actions.
4,228
95.9
Servicing, repairing, adjusting, and testing machines, devices,
moving parts, and equipment that operate primarily on the basis
of mechanical (not electronic) principles.
4,118
96.1
Identifying the underlying principles, reasons, or facts of
information by breaking down information or data into separate
parts.
5,870
96.2
B06-Level
Assessing the value, importance, or quality of things or people.
6,058
96.3
B36-Level
Providing guidance and direction to subordinates, including
setting performance standards and monitoring performance.
5,061
96.3
Performing day-to-day administrative tasks such as maintaining
information files and processing paperwork.
5,210
96.3
Item and Description
B40-Level
B21-Level
B32-Level
B25-Level
B23-Level
B41-Level
B05-Level
B13-Level
B02-Level
B30-Level
B22-Level
B09-Level
B39-Level
Note: 15 items are shown because of ties in response rates.
D-25
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-6. Ten Lowest Item Response Rates, Work Context Questionnaire
Item and Description
Sampled
Response
Rate
D49
How automated is the job?
7,111
97.7
D45
How serious would the result usually be if the worker made a mistake that was
not readily correctable?
7,111
97.8
D47
How frequently is the worker required to make decisions that affect other people,
the financial resources, and/or the image and reputation of the organization?
7,111
98.0
How important is it to coordinate or lead others in accomplishing work activities
in this job?
7,111
98.1
D12
How often are there conflict situations the employee has to face in this job?
7,111
98.2
D11
How responsible is the worker for work outcomes and results of other workers?
7,111
98.4
D39
How much does this job require keeping or regaining your balance?
7,111
98.4
D51
How important is repeating the same physical activities (e.g., key entry) or
mental activities (e.g., checking entries in a ledger) over and over, without
stopping, to performing this job?
7,111
98.4
To what extent does this job require the worker to compete or to be aware of
competitive pressures?
7,111
98.4
D10
How much responsibility is there for the health and safety of others in this job?
7,111
98.6
D46
What results do your decisions usually have on other people or the image or
reputation or financial resources of your employer?
7,111
98.6
D15
How often does this job require working indoors in environmentally controlled
conditions?
7,111
98.7
D16
How often does this job require working indoors in non-controlled
environmental conditions (e.g., warehouse without heat)?
7,111
98.7
D28
How often does this job require exposure to radiation?
7,111
98.7
D33
How often does this job require exposure to minor burns, cuts, bites, or stings?
7,111
98.7
D42
How much does this job require making repetitive motions?
7,111
98.7
D55
How important is it to this job that the pace is determined by the speed of
equipment or machinery? (This does not refer to keeping busy at all times on this
job.)
7,111
98.7
How frequently does the worker have to deal with unpleasant, angry, or
discourteous individuals as part of the job requirements?
7,111
98.8
D21
To what extent does this job require the worker to perform job tasks in close
physical proximity to other people?
7,111
98.8
D23
How often does this job require working in very hot (above 90 F degrees) or very
cold (below 32 F degrees) temperatures?
7,111
98.8
How much does this job require using your hands to handle, control, or feel
objects, tools or controls?
7,111
98.8
D41
How much does this job require bending or twisting your body?
7,111
98.8
D25
How often does this job require working exposed to contaminants (such as
pollutants, gases, dust or odors)?
7,111
98.9
D29
How often does this job require exposure to disease/infections?
7,111
98.9
D34
How much does this job require sitting?
7,111
98.9
D37
How much does this job require walking and running?
7,111
98.9
D56
How regular are the work schedules for this job?
7,111
98.9
D09
D53
D13
D40
Note: 27 items are shown because of ties in response rates.
D-26
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-7. Ten Lowest Item Response Rates, Knowledge Questionnaire
Item
E08-Level
E26-Level
E17-Level
E27-Level
E28-Level
E21-Level
E22-Level
E25-Level
E12-Level
E19-Level
E20-Level
Item Description
Sampled
Response
Rate
Knowledge of techniques and equipment for planting,
growing, and harvesting food products (both plant and animal)
for consumption, including storage/handling techniques.
1,358
88.2
Knowledge of the theory and techniques required to compose,
produce, and perform works of music, dance, visual arts,
drama, and sculpture.
1,219
89.7
Knowledge of plant and animal organisms, their tissues, cells,
functions, interdependencies, and interactions with each other
and the environment.
1,895
92.8
Knowledge of historical events and their causes, indicators,
and effects on civilizations and cultures.
1,814
93.1
Knowledge of different philosophical systems and religions.
This includes their basic principles, values, ethics, ways of
thinking, customs, practices, and their impact on human
culture.
2,103
93.5
Knowledge of the information and techniques needed to
diagnose and treat human injuries, diseases, and deformities.
This includes symptoms, treatment alternatives, drug
properties and interactions, and preventive health-care
measures.
2,301
94.4
Knowledge of principles, methods, and procedures for
diagnosis, treatment, and rehabilitation of physical and mental
dysfunctions, and for career counseling and guidance.
2,399
94.4
Knowledge of the structure and content of a foreign (nonEnglish) language including the meaning and spelling of
words, rules of composition and grammar, and pronunciation.
2,547
94.7
Knowledge of materials, methods, and the tools involved in
the construction or repair of houses, buildings, or other
structures such as highways and roads.
2,864
95.4
Knowledge of group behavior and dynamics, societal trends
and influences, human migrations, ethnicity, cultures and their
history and origins.
2,737
95.5
Knowledge of principles and methods for describing the
features of land, sea, and air masses, including their physical
characteristics, locations, interrelationships, and distribution of
plant, animal, and human life.
3,101
95.6
Note: 11 items are shown because of ties in response rates.
D-27
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-8. Ten Lowest Item Response Rates, Task Questionnaire
Item
51-9194.00, Etchers and Engravers:
T26-Importance
51-9194.00, Etchers and Engravers:
T26-Frequency
45-2041.00, Graders and Sorters,
Agricultural Products: T1-Frequency
Item Description
Reduce artwork to be used, using reduction
cameras.
Reduce artwork to be used, using reduction
cameras.
Separate fiber tufts between fingers to
assess strength, uniformity, and cohesive
quality of fibers.
51-9194.00, Etchers and Engravers:
T15-Frequency
Brush or smear abrasives on cutting wheels.
51-3021.00, Butchers and Meat Cutters:
T6-Frequency
41-3031.53, Securities and Commodities
Traders: T15-Importance
51-9151.00, Photographic Process
Workers and Processing Machine
Operators: T17-Frequency
Total sales, and collect money from
customers.
51-9194.00, Etchers and Engravers:
T12-Importance
Select and mount wheels and miters on
lathes, and equip lathes with water to cool
wheels and prevent dust when grinding
glass.
Select and mount wheels and miters on
lathes, and equip lathes with water to cool
wheels and prevent dust when grinding
glass.
51-9194.00, Etchers and Engravers:
T12-Frequency
Sampled
Response
Rate
10
40.0
10
40.0
12
41.7
7
42.9
19
47.4
4
50.0
4
50.0
4
50.0
4
50.0
Buy, sell, or trade carbon emissions permits.
Ink borders or lettering on illustrations
using pens, brushes, or drafting instruments.
51-9198.00, Helpers--Production
Workers: T18-Frequency
Pack food products in paper bags or boxes
and stack them in warehouses or coolers.
16
50.0
51-6021.00, Pressers, Textile, Garment,
and Related Materials: T19-Frequency
Sew ends of new material to leaders or to
ends of material in pressing machines, using
sewing machines.
21
52.4
51-4193.00, Plating and Coating
Machine Setters, Operators, and
Tenders, Metal and Plastic: T20Frequency
Charge furnaces.
15
53.3
51-6011.00, Laundry and Dry-Cleaning
Workers: T26-Frequency
Dye articles to change or restore their
colors, using knowledge of textile
compositions and the properties and effects
of bleaches and dyes.
Spray coated products with salt solutions to
determine how they will resist corrosion.
18
55.6
9
55.6
25
56.0
7
57.1
51-9121.00, Coating, Painting, and
Spraying Machine Setters, Operators,
and Tenders: T11-Frequency
51-6011.00, Laundry and Dry-Cleaning
Workers: T13-Frequency
Rinse articles in water and acetic acid
solutions to remove excess dye and to fix
colors.
53-6061.00, Transportation Attendants, Collect fares from passengers and provide
Except Flight Attendants: T9-Frequency change in return.
Note: 16 items are shown because of ties in response rates.
D-28
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-9. Response Rates, Background Questionnaire
Item and Description
Sampled
Response Rate
2
How long at job?
21,124
99.2
3
Employment sector
21,124
97.0
4
Family business
21,124
88.7
5
Age group
21,124
95.6
6
Gender
21,124
98.4
7
Ethnicity
21,124
96.9
8
Race
21,124
92.7
9
Education level
21,124
99.0
Items Added to Match the Disability Questions in the American Community
10
Deafness or serious difficulty hearing
14,996
98.4
11
Blind or serious difficulty seeing even when wearing glasses
14,996
98.4
12A
Serious difficulty concentrating, remembering, or making decisions
14,996
97.5
12B
Serious difficulty walking or climbing stairs
14,996
98.4
12C
Difficulty dressing or bathing
14,996
98.2
13
Difficulty doing errands alone because of a physical, mental, or emotional
condition
14,996
98.2
Items Deleted to Match the Disability Questions in the American Community
9A
Blindness, deafness, or other severe vision or hearing impairment
6,128
98.5
9B
A condition that substantially limits one or more basic physical activities
such as walking, climbing stairs, reaching, lifting, or carrying
6,128
98.1
10A
Difficulty learning, remembering, or concentrating
6,128
96.4
10B
Difficulty bathing, or getting around inside the home
6,128
96.3
10C
Difficulty going outside the home alone to shop or visit the doctor’s office
6,128
96.3
10D
Difficulty working at a job or business
6,128
96.1
D-29
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-10. Item Response Rates by Item Type
Item Type
Questions
Response Rate
2,694,379
97.6
B--Work Activities--Importance
286,795
98.7
B--Work--Activities--Level
228,256
96.6
D--Work Context
405,327
98.9
29,566
98.9
E--Knowledge--Importance
231,594
98.7
E--Knowledge--Level
126,380
96.4
E--Knowledge--Work Styles Background
112,288
99.2
Background
205,760
96.1
Task--Relevance
433,451
98.6
Task--Importance
317,481
96.5
Task--Frequency
317,481
95.5
TOTAL
E--Knowledge--Education and Training
D-30
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-11. Item Response Rates by Occupation
SOC Title
SOC Code
TOTAL
Questions
Response
Rate
2,694,379
97.6
11-1021.81
General and Operations Managers
19,760
98.4
11-2021.81
Marketing Managers
15,209
98.8
11-2031.00
Public Relations and Fundraising Managers
11,174
99.3
11-3011.00
Administrative Services Managers
14,821
98.5
11-3021.00
Computer and Information Systems Managers
9,582
99.3
11-3051.53
Biofuels Production Managers
8,133
98.7
11-3051.56
Hydroelectric Production Managers
11,441
99.0
11-9031.00
Education Administrators, Preschool and Childcare
Center/Program
11,329
98.3
11-9051.00
Food Service Managers
13,374
97.5
11-9081.00
Lodging Managers
7,011
98.2
11-9131.00
Postmasters and Mail Superintendents
9,543
98.5
11-9199.59
Wind Energy Operations Managers
10,805
99.3
11-9199.60
Wind Energy Project Managers
6,557
98.3
13-1022.81
Wholesale and Retail Buyers, Except Farm Products
10,496
97.3
13-1032.00
Insurance Appraisers, Auto Damage
5,557
99.2
13-1041.02
Licensing Examiners and Inspectors
8,471
98.0
13-1041.03
Equal Opportunity Representatives and Officers
13,735
97.4
13-1041.04
Government Property Inspectors and Investigators
5,731
98.1
13-1121.00
Meeting, Convention, and Event Planners
8,597
98.9
13-2031.00
Budget Analysts
12,332
98.1
13-2051.00
Financial Analysts
7,163
98.7
13-2071.01
Loan Counselors
7,602
97.9
15-1121.00
Computer Systems Analysts
13,381
98.6
15-1132.00
Software Developers, Applications
9,988
98.0
15-1141.00
Database Administrators
6,142
98.6
15-1142.00
Network and Computer Systems Administrators
16,160
98.6
15-1151.00
Computer User Support Specialists
13,573
98.2
17-1021.00
Cartographers and Photogrammetrists
6,761
98.6
17-2011.81
Aerospace Engineers
8,666
99.0
17-2071.81
Electrical Engineers
19,621
99.1
17-2072.51
Radio Frequency Identification Device Specialists
10,129
99.1
17-2121.02
Marine Architects
7,747
98.3
17-2141.81
Mechanical Engineers
15,980
98.0
17-2199.56
Microsystems Engineers
8,233
99.0
(continued)
D-31
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-11. Item Response Rates by Occupation (continued)
SOC Title
SOC Code
D-32
Questions
Response
Rate
9,468
98.4
11,305
98.2
17-3013.00
Mechanical Drafters
17-3022.00
Civil Engineering Technicians
17-3024.00
Electro-Mechanical Technicians
8,046
98.0
19-1020.01
Biologists
7,450
98.9
19-1023.00
Zoologists and Wildlife Biologists
13,917
99.1
19-1031.03
Park Naturalists
7,636
99.2
19-1032.00
Foresters
10,737
98.5
19-3093.00
Historians
7,058
97.7
19-4021.00
Biological Technicians
8,536
98.1
19-4051.81
Nuclear Equipment Operation Technicians
12,141
99.3
21-2011.00
Clergy
12,643
98.5
21-2021.00
Directors, Religious Activities and Education
12,431
98.5
23-1011.00
Lawyers
13,191
98.6
23-2093.00
Title Examiners, Abstractors, and Searchers
5,469
98.3
25-1191.00
Graduate Teaching Assistants
12,741
98.5
25-2012.00
Kindergarten Teachers, Except Special Education
18,687
98.6
25-2052.00
Special Education Teachers, Kindergarten and Elementary
School
19,592
98.3
25-4021.00
Librarians
20,609
98.7
25-4031.00
Library Technicians
14,900
98.2
27-1013.00
Fine Artists, Including Painters, Sculptors, and Illustrators
6,849
98.4
27-1023.00
Floral Designers
5,926
96.1
27-1026.00
Merchandise Displayers and Window Trimmers
9,475
96.5
27-2011.00
Actors
6,010
99.4
27-2021.00
Athletes and Sports Competitors
7,244
98.4
27-2041.01
Music Directors
9,414
98.1
27-2042.02
Musicians, Instrumental
11,066
98.1
27-3011.00
Radio and Television Announcers
10,823
98.0
27-3012.00
Public Address System and Other Announcers
5,750
99.2
27-3021.00
Broadcast News Analysts
6,234
97.9
27-3041.00
Editors
7,918
99.1
29-2099.52
Surgical Assistants
11,901
97.6
31-1015.00
Orderlies
11,415
95.2
33-1012.00
First-Line Supervisors of Police and Detectives
25,474
98.0
33-1021.01
Municipal Fire Fighting and Prevention Supervisors
21,493
98.4
33-2011.01
Municipal Firefighters
30,250
98.6
(continued)
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-11. Item Response Rates by Occupation (continued)
SOC Title
SOC Code
Questions
Response
Rate
33-2021.01
Fire Inspectors
11,416
98.0
33-3012.00
Correctional Officers and Jailers
18,032
98.5
33-3021.01
Police Detectives
25,935
97.1
33-3021.02
Police Identification and Records Officers
7,366
98.8
33-3041.00
Parking Enforcement Workers
11,092
98.0
33-3051.01
Police Patrol Officers
17,447
98.6
33-3052.00
Transit and Railroad Police
10,774
98.3
33-9021.00
Private Detectives and Investigators
10,325
98.1
33-9032.00
Security Guards
8,348
98.4
33-9091.00
Crossing Guards
9,885
95.3
35-1012.00
First-Line Supervisors of Food Preparation and Serving
Workers
12,538
96.3
35-2021.00
Food Preparation Workers
13,354
93.8
35-3011.00
Bartenders
8,473
97.4
35-3021.00
Combined Food Preparation and Serving Workers,
Including Fast Food
17,379
95.8
35-3022.51
Baristas
8,996
98.5
37-1012.00
First-Line Supervisors of Landscaping, Lawn Service, and
Groundskeeping Workers
9,879
96.9
37-2021.00
Pest Control Workers
14,050
97.7
37-3011.00
Landscaping and Groundskeeping Workers
13,733
95.0
37-3012.00
Pesticide Handlers, Sprayers, and Applicators, Vegetation
8,916
97.0
39-1012.00
Slot Supervisors
7,763
97.9
39-1021.00
First-Line Supervisors of Personal Service Workers
10,770
98.5
39-3031.00
Ushers, Lobby Attendants, and Ticket Takers
12,344
98.2
39-3092.00
Costume Attendants
14,591
99.0
39-4031.00
Morticians, Undertakers, and Funeral Directors
10,739
98.6
39-5012.00
Hairdressers, Hairstylists, and Cosmetologists
8,871
98.6
39-5092.00
Manicurists and Pedicurists
7,789
98.0
39-9011.00
Childcare Workers
26,796
97.1
39-9032.00
Recreation Workers
11,478
98.1
41-2022.00
Parts Salespersons
11,395
97.1
41-3031.01
Sales Agents, Securities and Commodities
10,475
98.7
41-3031.53
Securities and Commodities Traders
8,142
98.5
41-3041.00
Travel Agents
6,663
98.1
41-9011.00
Demonstrators and Product Promoters
7,270
98.5
41-9021.00
Real Estate Brokers
8,087
99.0
(continued)
D-33
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-11. Item Response Rates by Occupation (continued)
Questions
Response
Rate
First-Line Supervisors of Office and Administrative
Support Workers
19,462
98.6
43-3031.00
Bookkeeping, Accounting, and Auditing Clerks
18,124
97.5
43-3051.00
Payroll and Timekeeping Clerks
18,238
96.9
43-3061.00
Procurement Clerks
11,557
98.1
43-4021.00
Correspondence Clerks
13,155
97.1
43-4061.00
Eligibility Interviewers, Government Programs
11,640
97.6
43-4081.00
Hotel, Motel, and Resort Desk Clerks
17,141
97.5
43-4131.00
Loan Interviewers and Clerks
7,287
98.1
43-4151.00
Order Clerks
14,820
98.0
43-4161.00
Human Resources Assistants, Except Payroll and
Timekeeping
12,070
98.3
7,231
95.8
15,206
98.0
9,459
98.0
SOC Title
SOC Code
43-1011.00
D-34
43-5021.00
Couriers and Messengers
43-5031.00
Police, Fire, and Ambulance Dispatchers
43-5041.00
Meter Readers, Utilities
43-5051.00
Postal Service Clerks
12,041
98.0
43-5052.00
Postal Service Mail Carriers
14,236
97.5
43-5053.00
Postal Service Mail Sorters, Processors, and Processing
Machine Operators
11,170
96.4
9,891
97.9
17,153
97.8
6,852
97.7
43-5081.01
Stock Clerks, Sales Floor
43-5081.03
Stock Clerks- Stockroom, Warehouse, or Storage Yard
43-5081.04
Order Fillers, Wholesale and Retail Sales
43-6011.00
Executive Secretaries and Executive Administrative
Assistants
18,358
98.4
43-9022.00
Word Processors and Typists
11,240
98.0
43-9041.01
Insurance Claims Clerks
10,248
98.0
43-9051.00
Mail Clerks and Mail Machine Operators, Except Postal
Service
11,905
96.9
43-9071.00
Office Machine Operators, Except Computer
6,396
96.5
43-9081.00
Proofreaders and Copy Markers
5,289
98.2
43-9111.00
Statistical Assistants
12,713
98.6
45-1011.08
First-Line Supervisors of Animal Husbandry and Animal
Care Workers
8,474
96.6
45-2041.00
Graders and Sorters, Agricultural Products
4,592
94.8
45-2092.01
Nursery Workers
8,097
97.1
45-4022.00
Logging Equipment Operators
5,519
96.5
45-4023.00
Log Graders and Scalers
7,970
98.4
47-2011.00
Boilermakers
8,846
97.5
(continued)
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-11. Item Response Rates by Occupation (continued)
SOC Title
SOC Code
Questions
Response
Rate
9,342
96.1
10,544
96.3
47-2053.00
Terrazzo Workers and Finishers
47-2081.00
Drywall and Ceiling Tile Installers
47-2082.00
Tapers
8,146
95.4
47-2131.00
Insulation Workers, Floor, Ceiling, and Wall
6,961
97.7
47-2151.00
Pipelayers
10,302
97.7
47-2161.00
Plasterers and Stucco Masons
8,484
97.5
47-2171.00
Reinforcing Iron and Rebar Workers
6,642
97.0
47-2181.00
Roofers
10,579
95.1
47-2221.00
Structural Iron and Steel Workers
13,640
97.6
47-4041.00
Hazardous Materials Removal Workers
9,121
96.9
47-4051.00
Highway Maintenance Workers
8,599
96.2
47-4061.00
Rail-Track Laying and Maintenance Equipment Operators
9,349
96.9
47-4071.00
Septic Tank Servicers and Sewer Pipe Cleaners
8,933
96.4
47-4099.52
Solar Thermal Installers and Technicians
7,374
98.1
47-5021.00
Earth Drillers, Except Oil and Gas
7,716
98.6
47-5041.00
Continuous Mining Machine Operators
8,828
98.2
47-5061.00
Roof Bolters, Mining
5,387
98.2
49-2011.00
Computer, Automated Teller, and Office Machine
Repairers
10,124
98.6
Telecommunications Equipment Installers and Repairers,
Except Line Installers
11,162
98.0
49-2091.00
Avionics Technicians
10,293
98.7
49-2092.00
Electric Motor, Power Tool, and Related Repairers
11,178
95.8
49-2095.00
Electrical and Electronics Repairers, Powerhouse,
Substation, and Relay
9,253
98.6
Electronic Equipment Installers and Repairers, Motor
Vehicles
7,511
98.8
49-2098.00
Security and Fire Alarm Systems Installers
8,418
98.7
49-3041.00
Farm Equipment Mechanics and Service Technicians
11,563
98.0
49-3042.00
Mobile Heavy Equipment Mechanics, Except Engines
20,296
97.8
49-3051.00
Motorboat Mechanics and Service Technicians
12,800
98.7
49-3091.00
Bicycle Repairers
5,724
98.5
49-3092.00
Recreational Vehicle Service Technicians
13,616
98.0
49-9011.00
Mechanical Door Repairers
16,270
97.7
49-9012.00
Control and Valve Installers and Repairers, Except
Mechanical Door
14,649
96.2
Maintenance Workers, Machinery
15,557
49-2022.00
49-2096.00
49-9043.00
98.8
(continued)
D-35
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-11. Item Response Rates by Occupation (continued)
SOC Title
SOC Code
Response
Rate
12,178
97.6
49-9052.00
Telecommunications Line Installers and Repairers
49-9061.00
Camera and Photographic Equipment Repairers
6,009
97.5
49-9091.00
Coin, Vending, and Amusement Machine Servicers and
Repairers
8,446
96.5
49-9092.00
Commercial Divers
9,540
97.8
51-2011.00
Aircraft Structure, Surfaces, Rigging, and Systems
Assemblers
14,653
96.7
51-2021.00
Coil Winders, Tapers, and Finishers
5,634
98.1
51-2023.00
Electromechanical Equipment Assemblers
7,497
98.7
51-3011.00
Bakers
10,617
96.0
51-3021.00
Butchers and Meat Cutters
8,508
95.2
51-3022.00
Meat, Poultry, and Fish Cutters and Trimmers
6,235
97.3
51-3023.00
Slaughterers and Meat Packers
5,206
96.2
51-3091.00
Food and Tobacco Roasting, Baking, and Drying Machine
Operators and Tenders
8,419
96.5
Computer Numerically Controlled Machine Tool
Programmers, Metal and Plastic
8,258
98.0
Extruding and Drawing Machine Setters, Operators, and
Tenders, Metal and Plastic
7,711
98.3
Forging Machine Setters, Operators, and Tenders, Metal
and Plastic
5,270
98.4
Cutting, Punching, and Press Machine Setters, Operators,
and Tenders, Metal and Plastic
20,250
95.8
Grinding, Lapping, Polishing, and Buffing Machine Tool
Setters, Operators, and Tenders, Metal and Plastic
9,932
97.8
Lathe and Turning Machine Tool Setters, Operators, and
Tenders, Metal and Plastic
10,632
97.1
Milling and Planing Machine Setters, Operators, and
Tenders, Metal and Plastic
7,906
97.4
51-4061.00
Model Makers, Metal and Plastic
7,013
97.7
51-4062.00
Patternmakers, Metal and Plastic
8,019
97.6
51-4071.00
Foundry Mold and Coremakers
8,826
95.9
51-4072.00
Molding, Coremaking, and Casting Machine Setters,
Operators, and Tenders, Metal and Plastic
14,915
95.2
7,602
97.6
11,686
98.7
51-4012.00
51-4021.00
51-4022.00
51-4031.00
51-4033.00
51-4034.00
51-4035.00
51-4121.07
Solderers and Brazers
51-4122.00
Welding, Soldering, and Brazing Machine Setters,
Operators, and Tenders
51-4191.00
D-36
Questions
Heat Treating Equipment Setters, Operators, and Tenders,
Metal and Plastic
9,640
98.1
(continued)
OMB Supporting Statement
Appendix D: Nonresponse Analysis
Exhibit D-11. Item Response Rates by Occupation (continued)
SOC Title
SOC Code
51-4193.00
Plating and Coating Machine Setters, Operators, and
Tenders, Metal and Plastic
Questions
Response
Rate
13,183
96.3
8,372
97.3
51-4194.00
Tool Grinders, Filers, and Sharpeners
51-5111.00
Prepress Technicians and Workers
12,768
97.7
51-5113.00
Print Binding and Finishing Workers
10,698
97.1
51-6011.00
Laundry and Dry-Cleaning Workers
11,687
90.8
51-6021.00
Pressers, Textile, Garment, and Related Materials
9,183
90.3
51-6031.00
Sewing Machine Operators
14,749
93.5
51-6092.00
Fabric and Apparel Patternmakers
7,088
97.3
51-6093.00
Upholsterers
7,123
96.8
51-7011.00
Cabinetmakers and Bench Carpenters
7,786
97.0
51-7021.00
Furniture Finishers
8,662
97.7
51-7042.00
Woodworking Machine Setters, Operators, and Tenders,
Except Sawing
12,974
96.6
51-8091.00
Chemical Plant and System Operators
13,337
97.5
51-8099.51
Biofuels Processing Technicians
10,177
98.1
51-8099.54
Hydroelectric Plant Technicians
26,187
97.9
51-9011.00
Chemical Equipment Operators and Tenders
9,579
99.1
51-9012.00
Separating, Filtering, Clarifying, Precipitating, and Still
Machine Setters, Operators, and Tenders
11,535
97.5
Crushing, Grinding, and Polishing Machine Setters,
Operators, and Tenders
14,150
96.9
51-9022.00
Grinding and Polishing Workers, Hand
10,647
94.3
51-9032.00
Cutting and Slicing Machine Setters, Operators, and
Tenders
16,497
96.7
Extruding, Forming, Pressing, and Compacting Machine
Setters, Operators, and Tenders
14,528
96.7
8,942
97.2
51-9021.00
51-9041.00
51-9051.00
Furnace, Kiln, Oven, Drier, and Kettle Operators and
Tenders
51-9082.00
Medical Appliance Technicians
11,229
97.1
51-9083.00
Ophthalmic Laboratory Technicians
11,131
97.1
51-9111.00
Packaging and Filling Machine Operators and Tenders
9,599
95.3
51-9121.00
Coating, Painting, and Spraying Machine Setters,
Operators, and Tenders
6,157
96.8
Photographic Process Workers and Processing Machine
Operators
9,927
98.6
51-9191.00
Adhesive Bonding Machine Operators and Tenders
7,426
97.9
51-9192.00
Cleaning, Washing, and Metal Pickling Equipment
Operators and Tenders
5,510
51-9151.00
96.9
(continued)
D-37
Appendix D: Nonresponse Analysis
OMB Supporting Statement
Exhibit D-11. Item Response Rates by Occupation (continued)
SOC Title
SOC Code
D-38
Questions
Response
Rate
51-9193.00
Cooling and Freezing Equipment Operators and Tenders
8,205
97.8
51-9194.00
Etchers and Engravers
8,641
96.0
51-9195.03
Stone Cutters and Carvers, Manufacturing
10,900
95.7
51-9195.04
Glass Blowers, Molders, Benders, and Finishers
7,716
98.9
51-9195.07
Molding and Casting Workers
10,278
97.6
51-9198.00
Helpers--Production Workers
13,714
94.6
53-1011.00
Aircraft Cargo Handling Supervisors
5,770
97.2
53-1021.00
First-Line Supervisors of Helpers, Laborers, and Material
Movers, Hand
14,004
98.5
53-2012.00
Commercial Pilots
14,846
98.4
53-3011.00
Ambulance Drivers and Attendants, Except Emergency
Medical Technicians
6,293
97.5
13,083
96.8
7,911
97.4
53-3041.00
Taxi Drivers and Chauffeurs
53-4011.00
Locomotive Engineers
53-5011.00
Sailors and Marine Oilers
10,761
96.5
53-5021.01
Ship and Boat Captains
15,867
97.3
53-5021.02
Mates- Ship, Boat, and Barge
8,433
97.5
53-5021.03
Pilots, Ship
8,032
97.0
53-5031.00
Ship Engineers
10,293
96.7
53-6021.00
Parking Lot Attendants
8,489
96.6
53-6031.00
Automotive and Watercraft Service Attendants
9,603
97.9
53-6041.00
Traffic Technicians
10,466
97.5
53-6051.07
Transportation Vehicle, Equipment and Systems Inspectors,
Except Aviation
6,773
97.7
53-6061.00
Transportation Attendants, Except Flight Attendants
6,118
96.9
53-7011.00
Conveyor Operators and Tenders
12,941
97.7
53-7021.00
Crane and Tower Operators
11,680
97.7
53-7063.00
Machine Feeders and Offbearers
12,113
97.3
53-7071.00
Gas Compressor and Gas Pumping Station Operators
5,561
97.5
File Type | application/pdf |
File Title | Executive Summary |
Author | mfw |
File Modified | 2017-12-13 |
File Created | 2017-12-13 |