Informant Accuracy in Social Network Data V: An Experimental Attempt to Predict Communication from Recall Data.

Abstract

This paper seeks to discover whether the known inaccuracy of informant recall about their communication behavior can be accounted for by experimentally varying the time period over which recall takes place. The experiment took advantage of a new communications medium (computer conferencing) which enabled us to monitor automatically all the interactions involving a subset of the computer network. The experiment itself was administered entirely by the computer, which interviewed informants and recorded their responses. Variations in time period failed to account for much of the inaccuracy, which continues, as in previous experiments at an unacceptably high level. One positive finding did emerge: although people do not know with whom they communicate, people en masse seem to know certain broad facts about the communication pattern. All other findings were negative. For example, it is impossible to predict the people an informant claimed to communicate with but did not; and it is impossible to predict who the five people are that an informant forgot to mention that she or he had had communication with. Thus, despite their presumed good intentions, what people say about their communications bears no resemblance to their behavior. This immediately makes suspect all forms of data gathering, based on questions which require that informants recall their behavior. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1980
Accession Number
ADA091214

Entities

People

  • H. Russell Bernard
  • Lee Sailer
  • Peter D. Killworth

Organizations

  • West Virginia University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Anthropology
  • Child Rearing
  • Computer Networks
  • Computers
  • Data Acquisition
  • Data Science
  • Data Sets
  • Information Science
  • Military Research
  • Networks
  • Observation
  • Social Networks
  • Social Psychology
  • Social Sciences
  • Surveys
  • United States

Fields of Study

  • Psychology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Military History of the United States in the 20th Century.