Literature DB >> 29795929

Do Adaptive Representations of the Item-Position Effect in APM Improve Model Fit? A Simulation Study.

Florian Zeller1, Dorothea Krampen1, Siegbert Reiß1, Karl Schweizer1.   

Abstract

The item-position effect describes how an item's position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine whether adapted representations are more appropriate than the existing ones. Models of confirmatory factor analysis were used for testing the different representations. Analyses were conducted by means of simulated data that followed the covariance pattern of Raven's Advanced Progressive Matrices (APM) items. Since the item-position effect has been demonstrated repeatedly for the APM, it is a very suitable measure for our investigations. Results revealed no remarkable improvement by using an adapted representation. Possible reasons causing these results are discussed.

Entities:  

Keywords:  APM; confirmatory factor analysis; item-position effect; simulation

Year:  2016        PMID: 29795929      PMCID: PMC5965631          DOI: 10.1177/0013164416654946

Source DB:  PubMed          Journal:  Educ Psychol Meas        ISSN: 0013-1644            Impact factor:   2.821


  6 in total

1.  An experimental study of the effects on item-analysis data of changing item placement and test time limit.

Authors:  W G MOLLENKOPF
Journal:  Psychometrika       Date:  1950-09       Impact factor: 2.500

2.  Scaling Variances of Latent Variables by Standardizing Loadings: Applications to Working Memory and the Position Effect.

Authors:  Karl Schweizer
Journal:  Multivariate Behav Res       Date:  2011-11-30       Impact factor: 5.923

3.  A Confirmatory Analysis of Item Reliability Trends (CAIRT): Differentiating True Score and Error Variance in the Analysis of Item Context Effects.

Authors:  Johannes Hartig; Britta Hölzel; Helfried Moosbrugger
Journal:  Multivariate Behav Res       Date:  2007 Jan-Mar       Impact factor: 5.923

4.  What one intelligence test measures: a theoretical account of the processing in the Raven Progressive Matrices Test.

Authors:  P A Carpenter; M A Just; P Shell
Journal:  Psychol Rev       Date:  1990-07       Impact factor: 8.934

5.  Reliability shifts in measurement reactivity: driven by content engagement or self-engagement?

Authors:  E S Knowles; B Byers
Journal:  J Pers Soc Psychol       Date:  1996-05

6.  Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares.

Authors:  Cheng-Hsien Li
Journal:  Behav Res Methods       Date:  2016-09
  6 in total

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