Literature DB >> 30367386

Validation of a matrix reasoning task for mobile devices.

Anja Pahor1, Trevor Stavropoulos2, Susanne M Jaeggi3, Aaron R Seitz2.   

Abstract

Many cognitive tasks have been adapted for tablet-based testing, but tests to assess nonverbal reasoning ability, as measured by matrix-type problems that are suited to repeated testing, have yet to be adapted for and validated on mobile platforms. Drawing on previous research, we developed the University of California Matrix Reasoning Task (UCMRT)-a short, user-friendly measure of abstract problem solving with three alternate forms that works on tablets and other mobile devices and that is targeted at a high-ability population frequently used in the literature (i.e., college students). To test the psychometric properties of UCMRT, a large sample of healthy young adults completed parallel forms of the test, and a subsample also completed Raven's Advanced Progressive Matrices and a math test; furthermore, we collected college records of academic ability and achievement. These data show that UCMRT is reliable and has adequate convergent and external validity. UCMRT is self-administrable, freely available for researchers, facilitates repeated testing of fluid intelligence, and resolves numerous limitations of existing matrix tests.

Entities:  

Keywords:  Fluid intelligence; Matrix problems; Mobile; Reasoning; UCMRT; Validity

Mesh:

Year:  2019        PMID: 30367386      PMCID: PMC6486467          DOI: 10.3758/s13428-018-1152-2

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


  8 in total

1.  No evidence of intelligence improvement after working memory training: a randomized, placebo-controlled study.

Authors:  Thomas S Redick; Zach Shipstead; Tyler L Harrison; Kenny L Hicks; David E Fried; David Z Hambrick; Michael J Kane; Randall W Engle
Journal:  J Exp Psychol Gen       Date:  2012-06-18

2.  Recreating Raven's: software for systematically generating large numbers of Raven-like matrix problems with normed properties.

Authors:  Laura E Matzen; Zachary O Benz; Kevin R Dixon; Jamie Posey; James K Kroger; Ann E Speed
Journal:  Behav Res Methods       Date:  2010-05

3.  An automated version of the operation span task.

Authors:  Nash Unsworth; Richard P Heitz; Josef C Schrock; Randall W Engle
Journal:  Behav Res Methods       Date:  2005-08

4.  Influence of working memory on adult age differences in matrix reasoning.

Authors:  T A Salthouse
Journal:  Br J Psychol       Date:  1993-05

5.  Test length and cognitive fatigue: an empirical examination of effects on performance and test-taker reactions.

Authors:  Phillip L Ackerman; Ruth Kanfer
Journal:  J Exp Psychol Appl       Date:  2009-06

6.  The role of individual differences in cognitive training and transfer.

Authors:  Susanne M Jaeggi; Martin Buschkuehl; Priti Shah; John Jonides
Journal:  Mem Cognit       Date:  2014-04

7.  Working memory training in healthy young adults: Support for the null from a randomized comparison to active and passive control groups.

Authors:  Cameron M Clark; Linette Lawlor-Savage; Vina M Goghari
Journal:  PLoS One       Date:  2017-05-30       Impact factor: 3.240

8.  Bayesian inference for psychology. Part II: Example applications with JASP.

Authors:  Eric-Jan Wagenmakers; Jonathon Love; Maarten Marsman; Tahira Jamil; Alexander Ly; Josine Verhagen; Ravi Selker; Quentin F Gronau; Damian Dropmann; Bruno Boutin; Frans Meerhoff; Patrick Knight; Akash Raj; Erik-Jan van Kesteren; Johnny van Doorn; Martin Šmíra; Sacha Epskamp; Alexander Etz; Dora Matzke; Tim de Jong; Don van den Bergh; Alexandra Sarafoglou; Helen Steingroever; Koen Derks; Jeffrey N Rouder; Richard D Morey
Journal:  Psychon Bull Rev       Date:  2018-02
  8 in total
  1 in total

1.  Expectation effects in working memory training.

Authors:  Jocelyn Parong; Aaron R Seitz; Susanne M Jaeggi; C Shawn Green
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-06       Impact factor: 12.779

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.