PMID- 31721062
OWN - NLM
STAT- MEDLINE
DCOM- 20210405
LR  - 20210405
IS  - 1532-5946 (Electronic)
IS  - 0090-502X (Linking)
VI  - 48
IP  - 3
DP  - 2020 Apr
TI  - Psychometrics of the continuous mind: Measuring cognitive sub-processes via mouse 
      tracking.
PG  - 436-454
LID - 10.3758/s13421-019-00981-x [doi]
AB  - The measurement of psychological properties often relies on discrete measures, 
      for example, answers in questionnaires or responses in tasks. This focus on 
      discrete measures neglects information that is present in the process leading to 
      an answer or a response. A method to trace such processes is mouse tracking. 
      Mouse tracking promises to open a continuous window onto the processes leading 
      from a stimulus to a response. However, most mouse-tracking studies fall short of 
      the promise to extract dynamic psychometrically valid markers for the different 
      sub-processes, which are intertwined on the way to the final response. Here we 
      used time-continuous multiple regression (TCMR) to extract dynamic markers for 
      the different sub-processes leading to a response. From these markers, we 
      extracted information about the timing, the duration, and the strength of the 
      influence of the different sub-processes. We evaluated these dynamic measures of 
      sub-processes for their psychometric properties, i.e. reliability, which is a 
      basis for their use in the study of individual differences. Furthermore, we 
      applied these dynamic measures in a group-level study to identify differences in 
      the sub-processes of resolving response conflict between groups performing either 
      a Simon or a flanker task. We found specific temporal patterns that match 
      predictions from a conceptual model of these tasks. We concluded that the 
      extracted information from mouse movements could be used as psychometrically 
      valid dynamic measures of psychological properties and their differences across 
      individuals and situations.A software toolbox to perform the described analyses 
      in Matlab is provided (osf.io/5e3vn).
FAU - Scherbaum, Stefan
AU  - Scherbaum S
AD  - Department of Psychology, Technische Universitat Dresden, Zellescher Weg 17, 
      01062, Dresden, Germany. Stefan.Scherbaum@tu-dresden.de.
FAU - Dshemuchadse, Maja
AU  - Dshemuchadse M
AD  - Department of Social Sciences, Hochschule Zittau-Gorlitz, Bruckestrasse 1, 
      Gorlitz, 02826, Germany.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Mem Cognit
JT  - Memory & cognition
JID - 0357443
SB  - IM
MH  - Adult
MH  - Attention/*physiology
MH  - Conflict, Psychological
MH  - Female
MH  - Humans
MH  - Male
MH  - Psychometrics/*standards
MH  - Psychomotor Performance/*physiology
MH  - Reaction Time/*physiology
MH  - Young Adult
OTO - NOTNLM
OT  - Cognitive control
OT  - Individual differences
OT  - Mouse tracking
OT  - Process tracing
OT  - Psychometrics
EDAT- 2019/11/14 06:00
MHDA- 2021/04/07 06:00
CRDT- 2019/11/14 06:00
PHST- 2019/11/14 06:00 [pubmed]
PHST- 2021/04/07 06:00 [medline]
PHST- 2019/11/14 06:00 [entrez]
AID - 10.3758/s13421-019-00981-x [pii]
AID - 10.3758/s13421-019-00981-x [doi]
PST - ppublish
SO  - Mem Cognit. 2020 Apr;48(3):436-454. doi: 10.3758/s13421-019-00981-x.