DEVELOPING AN APPROACH TO MULTIMODAL QUANTITATIVE ASSESSMENT OF INTERVIEWERS’ COGNITIVE LOAD: FIRST RESULTS OF A FIELD QUASI EXPERIMENT

DEVELOPING AN APPROACH TO MULTIMODAL QUANTITATIVE ASSESSMENT OF INTERVIEWERS’ COGNITIVE LOAD: FIRST RESULTS OF A FIELD QUASI EXPERIMENT

Deviatko, I F;
rudn journal of sociology 2018 Vol. 18 pp. 627-637
255
deviatko2018developingrudn

Abstract

The belief that survey research instruments mediating communication between interviewer and respondent influence the quality of data obtained in the interview has become a conventional methodological wisdom long ago. However, the impact of the cognitive load experienced by the interviewer has not been systematically examined. When a questionnaire is filled up by an interviewer it is the latter who has to allocate limited individual resources of attention, memory, visual and motor control, active listening and interpretation in order to minimize the respondent’s misunderstanding of the questions and one’s own errors of the answers’ fixation. However, among various methods of pre-testing or evaluating survey mode effects and assessing instruments’ quality, the methods of multimodal quantitative estimation of instrument-related cognitive load experienced by interviewers during the interview are still rare or lacking. Thus, the article presents a brief review of subjective, behavioral and physiological measures of the cognitive load, which are used in such disciplinary fields as cognitive science, ergonomics, etc., and a discussion of preliminary findings of the field quasi-experiment conducted among the interviewers of the Russian Longitudinal Monitoring Survey on the first stage of transition to the CAPI mode. The quasi-experiment findings prove some possibilities and limitations of the parallel use of a version of the cognitive load rating scale developed by F. Paas and a simple physiological measure (heart rate) supplemented with a background screen video capture from Android-based tablets used for CAPI interviews for the multimodal quantitative evaluation and optimization of the interviewer’s cognitive load.

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