Al Baghal, T (2019) The Effect of Online and Mixed-Mode Measurement of Cognitive Ability. Social Science Computer Review, 37 (1). pp. 89-103. DOI https://doi.org/10.1177/0894439317746328
Al Baghal, T (2019) The Effect of Online and Mixed-Mode Measurement of Cognitive Ability. Social Science Computer Review, 37 (1). pp. 89-103. DOI https://doi.org/10.1177/0894439317746328
Al Baghal, T (2019) The Effect of Online and Mixed-Mode Measurement of Cognitive Ability. Social Science Computer Review, 37 (1). pp. 89-103. DOI https://doi.org/10.1177/0894439317746328
Abstract
A number of studies, particularly longitudinal surveys, are collecting direct measures of cognitive ability, given its importance as a measure in social science research. As longitudinal studies increasingly switch to mixed-mode data collection, frequently including a web component, differences in survey outcomes including cognitive ability may result from mode effects. Differences may arise due to respondent self-selection into mode or due to the mode causing differential measurement. Using a longitudinal survey that measured cognitive ability after introducing a mixed-mode design with a web component, this research explores if and how mode affects cognitive ability outcomes. This survey allows for control of several possible selection mechanisms, including a limited set of direct cognitive ability measures collected in a single mode in an earlier wave. Findings presented here show clearly that web respondents do better on a number of cognitive ability indicators. However, it does not appear that this is wholly explainable by respondents of different ability self-selecting into particular modes. Rather, it appears that measurement of cognitive ability may differ across modes. This result is potentially problematic as comparability is a key component of using cognitive ability in further research.
Item Type: | Article |
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Uncontrolled Keywords: | online surveys; mixed-mode surveys; cognitive ability; self-selection |
Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HA Statistics |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Institute for Social and Economic Research |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 14 Dec 2017 10:07 |
Last Modified: | 30 Oct 2024 16:44 |
URI: | http://repository.essex.ac.uk/id/eprint/20805 |
Available files
Filename: SSCR746328_Rev1.pdf
Licence: Creative Commons: Attribution 3.0