Novel Methods for Leveraging Large Cohort Studies for Qualitative and Mixed-Methods Research

Details

• Personal Author:
  Becene IA ; Berrill J ; Borba CPC ; Gelaye B ; Nguyen KTNH ; Rich-Edwards JW ; Shah AH ; Stuart JJ ; West MG
• Description:
  Qualitative research methods, while rising in popularity, are still a relatively underutilized tool in public health research. Usually reserved for small samples, qualitative research techniques have the potential to enhance insights gained from large questionnaires and cohort studies, both deepening the interpretation of quantitative data and generating novel hypotheses that might otherwise be missed by standard approaches; this is especially true where exposures and outcomes are new, understudied, or rapidly changing, as in a pandemic. However, methods for the conduct of qualitative research within large samples are underdeveloped. Here, we describe a novel method of applying qualitative research methods to free-text comments collected in a large epidemiologic questionnaire. Specifically, this method includes: 1) a hierarchical system of coding through content analysis; 2) a qualitative data management application; and 3) an adaptation of Cohen's k and percent agreement statistics for use by a team of coders, applying multiple codes per record from a large codebook. The methods outlined in this paper may help direct future applications of qualitative and mixed methods within large cohort studies. [Description provided by NIOSH]
• Subjects:
  Cohort Studies Communicable Diseases Epidemiology Occupational Health Safety Surveys And Questionnaires
• Keywords:
  Analytical Processes Author Keywords: COVID-19 Cohort Studies COVID-19 Data Processing Free-text Comments Interrater Reliability Large Questionnaires Mixed Methods Qualitative Analysis Qualitative Data Management Qualitative Methods Qualitative Research Questionnaires Research Methods Statistical Quality Control

  More +
• ISSN:
  0002-9262
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; OSHA Region 1
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  192
• Issue:
  5
• NIOSHTIC Number:
  nn:20067834
• Citation:
  Am J Epidemiol 2023 May; 192(5):821-829
• Contact Point Address:
  Dr. Janet W. Rich-Edwards, Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1 Brigham Circle, Boston, MA 02115
• Email:
  JR33@partners.org
• Federal Fiscal Year:
  2023
• Peer Reviewed:
  True
• Source Full Name:
  American Journal of Epidemiology
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:119cbc34d2bb9156c35d6fe48a278991fee165c9a514ea039119831740053204e3eee21c53cc88c9421016dea0831b7415b7a79c880ebb18689b738d57d74a97
• Download URL:
  https://stacks.cdc.gov/view/cdc/230089/cdc_230089_DS1.pdf
• File Type:
  [PDF - 351.76 KB ]