Literature DB >> 35381956

A "Goldilocks zone" for mind-wandering reports? A secondary data analysis of how few thought probes are enough for reliable and valid measurement.

Matthew S Welhaf1, Matt E Meier2, Bridget A Smeekens3, Paul J Silvia3, Thomas R Kwapil4, Michael J Kane5.   

Abstract

Mind-wandering assessment relies heavily on the thought probe technique as a reliable and valid method to assess momentary task-unrelated thought (TUT), but there is little guidance available to help researchers decide how many probes to include within a task. Too few probes may lead to unreliable measurement, but too many probes might artificially disrupt normal thought flow and produce reactive effects. Is there a "Goldilocks zone" for how few thought probes can be used to reliably and validly assess individual differences in mind-wandering propensity? We address this question by reanalyzing two published datasets (Study 1, n = 541; Study 2, ns ≈ 260 per condition) in which thought probes were presented in multiple tasks. Our primary analyses randomly sampled probes in increments of two for each subject in each task. A series of confirmatory factor analyses for each probe "bin" size tested whether the latent correlations between TUT rate and theoretically relevant constructs like working memory capacity, attention-control ability, disorganized schizotypy, and retrospective self-reported mind wandering changed as more probes assessed the TUT rate. TUT rates were remarkably similar across increasing probe-bin sizes and zero-order correlations within and between tasks stabilized at 8-10 probes; moreover, TUT-rate correlations with other latent variables stabilized at about 8 thought probes. Our provisional recommendation (with caveats) is that researchers may use as few as 8 thought probes in prototypical cognitive tasks to gain reliable and valid information about individual differences in TUT rate.
© 2022. The Psychonomic Society, Inc.

Entities:  

Keywords:  Measurement; Mind wandering; Reliability; Thought probe; Validity

Year:  2022        PMID: 35381956     DOI: 10.3758/s13428-021-01766-4

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  26 in total

1.  Drifting from slow to "D'oh!": working memory capacity and mind wandering predict extreme reaction times and executive control errors.

Authors:  Jennifer C McVay; Michael J Kane
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2011-10-17       Impact factor: 3.051

2.  For Whom the Mind Wanders, and When, Varies Across Laboratory and Daily-Life Settings.

Authors:  Michael J Kane; Georgina M Gross; Charlotte A Chun; Bridget A Smeekens; Matt E Meier; Paul J Silvia; Thomas R Kwapil
Journal:  Psychol Sci       Date:  2017-07-18

3.  The development of a short domain-general measure of working memory capacity.

Authors:  Frederick L Oswald; Samuel T McAbee; Thomas S Redick; David Z Hambrick
Journal:  Behav Res Methods       Date:  2015-12

4.  The persistence of thought: evidence for a role of working memory in the maintenance of task-unrelated thinking.

Authors:  Daniel B Levinson; Jonathan Smallwood; Richard J Davidson
Journal:  Psychol Sci       Date:  2012-03-14

5.  Wandering in both mind and body: individual differences in mind wandering and inattention predict fidgeting.

Authors:  Jonathan S A Carriere; Paul Seli; Daniel Smilek
Journal:  Can J Exp Psychol       Date:  2013-03

6.  Tracking Distraction.

Authors:  Michael S Franklin; Michael D Mrazek; Craig L Anderson; Charlotte Johnston; Jonathan Smallwood; Alan Kingstone; Jonathan W Schooler
Journal:  J Atten Disord       Date:  2016-07-27       Impact factor: 3.256

Review 7.  Shadowing the wandering mind: how understanding the mind-wandering state can inform our appreciation of conscious experience.

Authors:  Mahiko Konishi; Jonathan Smallwood
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2016-05-17

8.  Conducting the train of thought: working memory capacity, goal neglect, and mind wandering in an executive-control task.

Authors:  Jennifer C McVay; Michael J Kane
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2009-01       Impact factor: 3.051

9.  Detecting and Quantifying Mind Wandering during Simulated Driving.

Authors:  Carryl L Baldwin; Daniel M Roberts; Daniela Barragan; John D Lee; Neil Lerner; James S Higgins
Journal:  Front Hum Neurosci       Date:  2017-08-08       Impact factor: 3.169

10.  Harnessing the wandering mind: the role of perceptual load.

Authors:  Sophie Forster; Nilli Lavie
Journal:  Cognition       Date:  2009-03-26
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