SOLICITATION NOTICE
B -- Data Management Regarding 2002 General Social Survey
- Notice Date
- 6/19/2006
- Notice Type
- Solicitation Notice
- NAICS
- 519190
— All Other Information Services
- Contracting Office
- Department of Health and Human Services, Center for Disease Control and Prevention, Acquisition and Assistance Field Branch (Pittsburgh), Post Office Box 18070 Cochrans Mill Road, Pittsburgh, PA, 15236-0070
- ZIP Code
- 15236-0070
- Solicitation Number
- MLM000HCC96-2006-32211
- Response Due
- 7/4/2006
- Archive Date
- 7/19/2006
- Description
- TITLE: ANALYSES OF THE NIOSH QUALITY OF WORK LIFE SURVEY The National Institute for Occupational Safety and Health, DART, Cincinnati, Ohio has a requirement for data management, updated occupation/industry coding, data analysis, and preparation of dissemination materials from 2002 General Social Survey. NIOSH intends to update the 2002 General Social Survey dataset by adding SOC 2000 occupation codes and 2002 NAICS industry codes and conduct statistical analyses of scores on quality of work life (QWL) survey questions according to the new occupation and industry codes. The vendor will provide all labor, materials, and equipment required to complete the tasks outlined below. The vendor may require travel or communications with CDC/NIOSH to obtain materials needed to complete one or more of the tasks. TASKS TO BE PERFORMED: The General Social Survey (GSS) dataset contains responses from 1,777 workers who answered questions about their occupation and industry and questions in the QWL module. Because the 2000 SOC contains more occupation codes than the 1980 census occupation system, and because the 2002 NAICS system is very different than the 1980 census industry code system, it is necessary for the bidder to review each of the 1,777 GSS respondent records and assign the correct occupation and industry code as a supplement to the existing 1980 occupation and industry codes. Once the new occupation and industry codes have been assigned, the bidder shall group each set of codes into two-digit groups/categories and conduct statistical analyses of the QWL survey items according to occupation and industry groupings. The vendor shall perform the following tasks: A. Using supplemental information to be supplied by NIOSH, perform a record by record analysis and assign a detailed SOC 2000 occupation code for each of the 1,777 respondents in the dataset. The 2000 SOC codes can be obtained from the Bureau of Labor Statistics (http://www.bls.gov/soc/). Identify any discrepancies between the existing 1980 Census occupation code and the 2000 SOC codes (i.e., cases where the old and new occupation codes differed significantly) and devise procedures for resolving discrepancies. Cross check each code for accuracy and provide a listing of all translated codes. Submit plan for resolving discrepancies to Project Officer for approval. B. Using supplemental information to be supplied by NIOSH, perform a record by record analysis and assign a detailed NAICS 2002 industry for each of the 1,777 respondents. NAICS codes can be obtained from the Bureau of Census (http://www.census.gov/epcd/www/naics.html). Identify any discrepancies between the existing 1980 Census industry code and new NAICS codes (i.e., cases where the old and new industry codes differ significantly) and devise procedures for resolving discrepancies. Cross check each code for accuracy and provide a listing of all translated codes. Submit plan for resolving discrepancies to Project Officer for approval. C. Add the converted and verified 2000 SOC and 2002 NAICS codes to the 2002 GSS dataset. The 2002 GSS dataset can be obtained from the National Opinion Research Center (http://www.norc.uchicago.edu/). The new occupation and industry codes should be added to each observation in the dataset and new variables names for 2000 SOC and 2002 NAICS codes should be assigned. The final dataset should include the original Census occupation and industry codes as well as the new SOC and NAICS codes. D. Merge the 2002 QWL dataset with the older 1969, 1972 and 1977 QES datasets and create common variable names for each of the 38 QES items which were also contained in the QWL dataset (to be supplied by NIOSH Project Officer). Although occupation and industry were coded differently in the QES surveys, the bidder shall aggregate occupation and industry codes to form categories/groups that resemble the two-digit groupings in the 2000 SOC and 2002 NAICS, respectively. The bidder shall create groupings/categories of occupation and industry codes for each of the QES datasets which roughly match those of the SOC and NAICS groupings (see http://www.bls.gov/oes/current/oes_stru.htm#00-0000#00-0000 for two-digit occupation groupings and http://www.cdc.gov/niosh/nora/sector.html for two-digit industry groupings). Provide details on how well the two sets of groupings agree and advice on the extent to which the groupings could be used to compare survey scores among the QES and QWL surveys. The 2000 SOC contains twenty-two (22) two-digit occupational groups and the 2002 NAICS has twenty (20) two-digit industry groupings. E. Analyze the merged dataset and compute simple frequencies and average (mean) scores for all QWL survey items grouped by two-digit occupation code (http://www.bls.gov/oes/current/oes_stru.htm#00-0000#00-0000). Compute cross-tabulation frequencies of the two-digit occupation codes for the following eleven (11) QWL survey items: Self-rated health, Days of poor physical health in the past 30 days, days of poor mental health in the past 30 days, Summation of days of poor mental health and days of poor physical health in the past 30 days, Days of activity limitation in the past 30 days, Felt used up, Back pain, Pain in the arms, Number of injuries on the job, Job satisfaction, and Job stress. Compute adjusted mean scores on all QWL survey items, adjusting for each of the demographic variables separately (i.e., age, race, gender, education) and adjusting for all demographic variables together according to the two-digit grouped 2000 SOC occupation codes (http://www.bls.gov/oes/current/oes_stru.htm#00-0000#00-0000). Each of the analyses described above should be done twice for each survey item; once using the sampling weights and once using unweighted raw scores. F. Analyze the merged dataset and compute simple frequencies and average (mean) scores for each two-digit sector industry group (http://www.cdc.gov/niosh/nora/sector.html) for all 76 QWL survey items. Compute cross-tabulation frequencies for two-digit sector industry groups for the following eleven (11) QWL survey items: Self-rated health, Days of poor physical health in the past 30 days, days of poor mental health in the past 30 days, Summation of days of poor mental health and days of poor physical health in the past 30 days, Days of activity limitation in the past 30 days, Felt used up, Back pain, Pain in the arms, Number of injuries on the job, Job satisfaction, and Job stress. Compute adjusted mean scores on all QWL survey items, adjusting for each of the demographic variables separately (i.e., age, race, gender, education) and adjusting all demographic variables together according to 2-digit grouped 2002 NAICS sector codes (http://www.cdc.gov/niosh/nora/sector.html). Each of the analyses described above should be done twice for each survey item; once using the sampling weights and once using unweighted raw scores. G. Prepare tables and charts in Excel format, suitable for display on the NIOSH website, showing occupation and industry grouping scores on each of the 11 QWL items listed above. H. Submit final report containing the revised GSS 2002 dataset to NIOSH, the output of data analyses and tables in Excel format within 180 days of the date of this award. The report should include a detailed description of the procedures used in assigning updated occupation and industry codes and the criteria used for resolving any coding discrepancies. The final report also should 1) describe occupation and industry differences in worker health status and worker perceptions of job conditions based on scores on QWL items, 2) compare the 2002 QWL results with those from the prior QES surveys done in 1969, 1972, and 1977 and offer narrative text explaining significant differences in occupation and industry scores across the four (4) survey datasets. Explanations of occupation and industry differences should acknowledge at minimum the changes that have taken place in both workforce demographics since 1969 and the changing nature of work itself (e.g., moving from a manufacturing to a service economy). GOVERNMENT FURNISHED MATERIALS The NIOSH project officer will supply sufficient details so that the bidder can assign an SOC occupation code and an NAICS industry code to each of the code each of the 1,777 respondents. MINIMUM VENDOR QUALIFICATIONS The vendor shall be a Ph.D. with demonstrated experience with the General Social Survey (2002) and the QWL module as evidenced by one or more peer-reviewed publications. The vendor shall have demonstrated experience with the Quality of Employment Surveys (1969, 1972, and 1977) as evidenced by one or more peer-reviewed publications. The vendor shall have experience working with the 2000 Standard Occupational Classification system and the 2002 North American Industry Classification System (NAICS). The vendor shall have demonstrated research experience in the fields of job stress and quality of work life issues. The vendor shall be able to travel to Cincinnati, OH on one or more occasions to fulfill the requirements of consultation with CDC/NIOSH. Responsible sources that believe they possess the expertise and capabilities identified above are encouraged to submit to the Contracting Officer within 15 days from the posting date of this notice their capabilities statement and supporting information in the format they choose, not to exceed 10 pages. Please forward capabilities and supporting information to: Margaret L. Mooney, Reference MLM000HCC96-2006-32211, CDC, NIOSH, 626 Cochrans Mill Road, Pittsburgh, PA 15236, MMooney@cdc.gov. or Brenda Goodwin, Contract Specialist, Morgantown, WV Bgoodwin@cdc.gov The government will review any/all capabilities statements and supporting information submitted and determine if other qualified sources do exist that could perform the effort. Information received in response to this notice will be used solely for the purpose of determining whether to conduct a competitive procurement. If no affirmative responses are received within 15 days, negotiations will be conducted with the University of Akron, Dr. Mark Tausig, Ph.D. as the only source and a purchase order will be issued without any additional notices being posted. Dr. Tausig is the only known source who has experience/publications with 1) the QES surveys, 2) the General Social Surveys, and experience/publications in the areas of a) job stress and health, b) macroeconomic analyses, and c) work family issues. Dr. Tausig has access to 1969, 1972 and 1977 QES data and possesses the datasets required to perform the work.
- Place of Performance
- Address: NIOSH, Division of Applied Research and Technology, 4676 Columbia Parkway, MS C-24, Cincinnati, OH
- Zip Code: 45226
- Country: USA
- Zip Code: 45226
- Record
- SN01072839-W 20060621/060619221018 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
| FSG Index | This Issue's Index | Today's FBO Daily Index Page |