Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire. / Tietjens, Maike; Freund, Philipp Alexander; Büsch, Dirk et al.
In: Psychology of Sport and Exercise, Vol. 13, No. 5, 09.2012, p. 598-605.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{ac0390eb75504737a081b4a919ce9abb,
title = "Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire",
abstract = "Objectives: The Physical Self-Description Questionnaire (PSDQ; Marsh, Richards, Johnson, Roche, & Tremayne, 1994) is an internationally established instrument for the measurement of the physical self, featuring a total of 11 scales. So far, assessments of the psychometric quality of the PSDQ have applied CFA and MTMM analyses. In these assessments, some PSDQ scales have been found to be subject to, among others, a gender bias, and a bias toward negatively coded items. Probabilistic mixture distribution models such as the Mixed Rasch model (MRM; Rost, 1990) have not been used so far to test the psychometric qualities of PSDQ scores. Design and Method: Data are collected from German university sport and psychology students (N= 605, 270 males and 335 females). Both CFA and MRM analyses are conducted. Results: CFA results show acceptable goodness-of-fit indices for the 11-factor solution. The majority of the 11 MRM analyses indicate that the PSDQ scales can be considered unidimensional in the sense of a Rasch model for polytomous data. However, the scales physical activity, physical self-concept, and strength reveal shortcomings. Conclusion: For a rather large proportion of yet undefined persons the PSDQ may be problematic for diagnostic purposes, and researchers and practitioners should be aware of this. Future studies should also consider MRM analyses with samples from different age categories and manifest groups, which can be tested against statistically established latent groups. ",
keywords = "Psychology, Mixed Rasch model, PSDQ",
author = "Maike Tietjens and Freund, {Philipp Alexander} and Dirk B{\"u}sch and Bernd Strauss",
year = "2012",
month = sep,
doi = "10.1016/j.psychsport.2012.02.009",
language = "English",
volume = "13",
pages = "598--605",
journal = "Psychology of Sport and Exercise",
issn = "1469-0292",
publisher = "Elsevier B.V.",
number = "5",

}

RIS

TY - JOUR

T1 - Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire

AU - Tietjens, Maike

AU - Freund, Philipp Alexander

AU - Büsch, Dirk

AU - Strauss, Bernd

PY - 2012/9

Y1 - 2012/9

N2 - Objectives: The Physical Self-Description Questionnaire (PSDQ; Marsh, Richards, Johnson, Roche, & Tremayne, 1994) is an internationally established instrument for the measurement of the physical self, featuring a total of 11 scales. So far, assessments of the psychometric quality of the PSDQ have applied CFA and MTMM analyses. In these assessments, some PSDQ scales have been found to be subject to, among others, a gender bias, and a bias toward negatively coded items. Probabilistic mixture distribution models such as the Mixed Rasch model (MRM; Rost, 1990) have not been used so far to test the psychometric qualities of PSDQ scores. Design and Method: Data are collected from German university sport and psychology students (N= 605, 270 males and 335 females). Both CFA and MRM analyses are conducted. Results: CFA results show acceptable goodness-of-fit indices for the 11-factor solution. The majority of the 11 MRM analyses indicate that the PSDQ scales can be considered unidimensional in the sense of a Rasch model for polytomous data. However, the scales physical activity, physical self-concept, and strength reveal shortcomings. Conclusion: For a rather large proportion of yet undefined persons the PSDQ may be problematic for diagnostic purposes, and researchers and practitioners should be aware of this. Future studies should also consider MRM analyses with samples from different age categories and manifest groups, which can be tested against statistically established latent groups.

AB - Objectives: The Physical Self-Description Questionnaire (PSDQ; Marsh, Richards, Johnson, Roche, & Tremayne, 1994) is an internationally established instrument for the measurement of the physical self, featuring a total of 11 scales. So far, assessments of the psychometric quality of the PSDQ have applied CFA and MTMM analyses. In these assessments, some PSDQ scales have been found to be subject to, among others, a gender bias, and a bias toward negatively coded items. Probabilistic mixture distribution models such as the Mixed Rasch model (MRM; Rost, 1990) have not been used so far to test the psychometric qualities of PSDQ scores. Design and Method: Data are collected from German university sport and psychology students (N= 605, 270 males and 335 females). Both CFA and MRM analyses are conducted. Results: CFA results show acceptable goodness-of-fit indices for the 11-factor solution. The majority of the 11 MRM analyses indicate that the PSDQ scales can be considered unidimensional in the sense of a Rasch model for polytomous data. However, the scales physical activity, physical self-concept, and strength reveal shortcomings. Conclusion: For a rather large proportion of yet undefined persons the PSDQ may be problematic for diagnostic purposes, and researchers and practitioners should be aware of this. Future studies should also consider MRM analyses with samples from different age categories and manifest groups, which can be tested against statistically established latent groups.

KW - Psychology

KW - Mixed Rasch model

KW - PSDQ

UR - http://www.scopus.com/inward/record.url?scp=84862255491&partnerID=8YFLogxK

U2 - 10.1016/j.psychsport.2012.02.009

DO - 10.1016/j.psychsport.2012.02.009

M3 - Journal articles

VL - 13

SP - 598

EP - 605

JO - Psychology of Sport and Exercise

JF - Psychology of Sport and Exercise

SN - 1469-0292

IS - 5

ER -

Recently viewed

Publications

  1. Patching Together a Global Script
  2. Using the flatness of DC-Drives to emulate a generator for a decoupled MPC using a geometric approach for motion control in Robotino
  3. Distinguishing state variability from trait change in longitudinal data
  4. An Improved Approach to the Semi-Process-Oriented Implementation of Standardised ERP-Systems
  5. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  6. Machine Learning and Knowledge Discovery in Databases
  7. A denoising procedure using wavelet packets for instantaneous detection of pantograph oscillations
  8. Visualizing the Hidden Activity of Artificial Neural Networks
  9. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  10. Gain Scheduling Controller for Improving Level Control Performance
  11. The role of reading time complexity and reading speed in text comprehension
  12. Mathematics in Robot Control for Theoretical and Applied Problems
  13. Latent structure perceptron with feature induction for unrestricted coreference resolution
  14. Using cross-recurrence quantification analysis to compute similarity measures for time series of unequal length with applications to sleep stage analysis
  15. Understanding the socio-technical aspects of low-code adoption for software development
  16. Retest effects in matrix test performance
  17. Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
  18. Robust Flatness Based Control of an Electromagnetic Linear Actuator Using Adaptive PID Controller
  19. Considerations on efficient touch interfaces - How display size influences the performance in an applied pointing task
  20. Understanding reading as a form of language-use
  21. A Line with Variable Direction, which Traces No Contour, and Delimits No Form
  22. Stimulating Computing
  23. Robust feedback linearization control of a throttle plate by using an approximated pd regulator
  24. TRY plant trait database – enhanced coverage and open access
  25. Towards productive functions?