Literature DB >> 29882528

The lz(p)* Person-Fit Statistic in an Unfolding Model Context.

Jorge N Tendeiro1.   

Abstract

Although person-fit analysis has a long-standing tradition within item response theory, it has been applied in combination with dominance response models almost exclusively. In this article, a popular log likelihood-based parametric person-fit statistic under the framework of the generalized graded unfolding model is used. Results from a simulation study indicate that the person-fit statistic performed relatively well in detecting midpoint response style patterns and not so well in detecting extreme response style patterns.

Entities:  

Keywords:  GGUM; item response theory; person fit; unfolding

Year:  2016        PMID: 29882528      PMCID: PMC5978489          DOI: 10.1177/0146621616669336

Source DB:  PubMed          Journal:  Appl Psychol Meas        ISSN: 0146-6216


  3 in total

1.  Fitting Item Response Theory Models to Two Personality Inventories: Issues and Insights.

Authors:  O S Chernyshenko; S Stark; K Y Chan; F Drasgow; B Williams
Journal:  Multivariate Behav Res       Date:  2001-10-01       Impact factor: 5.923

2.  Asymptotically Correct Standardization of Person-Fit Statistics Beyond Dichotomous Items.

Authors:  Sandip Sinharay
Journal:  Psychometrika       Date:  2015-05-08       Impact factor: 2.500

3.  Extreme response style and symptom return after depression treatment: the role of positive extreme responding.

Authors:  Nicholas R Forand; Robert J DeRubeis
Journal:  J Consult Clin Psychol       Date:  2014-02-03
  3 in total
  2 in total

1.  Asymptotically Corrected Person Fit Statistics for Multidimensional Constructs with Simple Structure and Mixed Item Types.

Authors:  Maxwell Hong; Lizhen Lin; Ying Cheng
Journal:  Psychometrika       Date:  2021-04-01       Impact factor: 2.500

2.  Methods of Detecting Insufficient Effort Responding: Comparisons and Practical Recommendations.

Authors:  Maxwell Hong; Jeffrey T Steedle; Ying Cheng
Journal:  Educ Psychol Meas       Date:  2019-07-31       Impact factor: 2.821

  2 in total

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