The Computer-Mediated Panel Study. Methodology.

Abstract

The UNC Computer Administered Panel Study (CAPS) is an innovative data collection procdure which combines positive qualities of several social psychology methodologies and offers distinct advantages over more traditional data collection procedures. The project allowed for the collection of a vast amount of data from each of a large sample of individuals, presenting a more complete and in-depth picture of the life history, personality, attitudes and behavior of each participant than is possible with most methodologies. Moreover, these data have a longitudinal component allowing one to follow the development of the respondents and their social relationships ove the duration of the project and offering the potential for long-range follow-up in the future. The computer-based system of administration not only made it possible to collect such a large volume of data, but it did so efficiently, eliminating the work and risk associated with manual coding and data entry. It also permitted the precise measurement of behavioral variables (such as time spent on each task) which are often difficult to gather in more traditional settings, and the selection of items or tasks based on prior information about the respondent or the based on prior information about the respondent or the respondent's own previous answers.

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Document Details

Document Type
Technical Report
Publication Date
Feb 15, 1985
Accession Number
ADA164900

Entities

People

  • Beverly Wiggins
  • Bibb Latane
  • John Barefoot

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • California
  • Cognition
  • Employment
  • Instructions
  • Laboratory Procedures
  • Measurement
  • Monitoring
  • Motivation
  • New York
  • Psychology
  • Reliability
  • Social Psychology
  • Social Sciences
  • Students
  • United States
  • Universities

Fields of Study

  • Psychology

Readers

  • Clinical Trial Research.
  • Organizational Psychology.
  • Systems Analysis and Design