Literature DB >> 29795946

Is the Factor Observed in Investigations on the Item-Position Effect Actually the Difficulty Factor?

Karl Schweizer1, Stefan Troche2.   

Abstract

In confirmatory factor analysis quite similar models of measurement serve the detection of the difficulty factor and the factor due to the item-position effect. The item-position effect refers to the increasing dependency among the responses to successively presented items of a test whereas the difficulty factor is ascribed to the wide range of item difficulties. The similarity of the models of measurement hampers the dissociation of these factors. Since the item-position effect should theoretically be independent of the item difficulties, the statistical ex post manipulation of the difficulties should enable the discrimination of the two types of factors. This method was investigated in two studies. In the first study, Advanced Progressive Matrices (APM) data of 300 participants were investigated. As expected, the factor thought to be due to the item-position effect was observed. In the second study, using data simulated to show the major characteristics of the APM data, the wide range of items with various difficulties was set to zero to reduce the likelihood of detecting the difficulty factor. Despite this reduction, however, the factor now identified as item-position factor, was observed in virtually all simulated datasets.

Entities:  

Keywords:  difficulty factor; item difficulty; item-position effect; method effect

Year:  2016        PMID: 29795946      PMCID: PMC5965623          DOI: 10.1177/0013164416670711

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


  6 in total

1.  DIFFICULTY FACTORS AND NON-LINEAR FACTOR ANALYSIS.

Authors:  R P MCDONALD
Journal:  Br J Math Stat Psychol       Date:  1965-05       Impact factor: 3.380

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

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

4.  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

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

6.  A Note on the Eigensystem of the Covariance Matrix of Dichotomous Guttman Items.

Authors:  Clintin P Davis-Stober; Jean-Paul Doignon; Reinhard Suck
Journal:  Front Psychol       Date:  2015-12-01
  6 in total

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