Using Rating Scales for the Assessment of Physical Self-Concept: Why the Number of Response Categories Matters

REFERENCES

• Adams , R. J. , Wu , M. L. and Wilson , M. 2012 . The Rasch rating model and the disordered threshold controversy . Educational and Psychological Measurement , 72 : 547 – 573 .
   Web of Science ®Google Scholar
• Aşçı , F. H. 2005 . The construct validity of two physical self-concept measures: An example from Turkey . Psychology of Sport & Exercise , 6 : 659 – 669 .
   Web of Science ®Google Scholar
• Dawes , J. 2007 . Do data characteristics change according to the number of scale points used? An experiment using 5-point, 7-point and 10-point scales . International Journal of Market Research , 51 : 61 – 77 .
   Google Scholar
• Eid , M. and Zickar , M. J. 2007 . “ Detecting response styles and faking in personality and organizational assessments by mixed Rasch model ” . In Multivariate and mixture distribution Rasch models , Edited by: von Davier , M. and Carstensen , C. H. 255 – 270 . New York , NY : Springer . InEd.pp.
   Google Scholar
• Embretson , S. E. , ed. 2009 . Measuring psychological constructs: Advances in model-based approaches , Washington , DC : APA .
   Google Scholar
• Embretson , S. E. and Reise , S. P. 2000 . Item response theory for psychologists , Mahwah , NJ : Erlbaum .
   Google Scholar
• Finn , R. H. 1972 . Effects of some variations in rating scale characteristics on the means and reliabilities of ratings . Educational and Psychological Measurement , 32 : 255 – 265 .
   Web of Science ®Google Scholar
• Fletcher , R. B. and Hattie , J. A. 2005 . Gender differences in physical self-concept: A multidimensional differential item functioning analysis . Educational and Psychological Measurement , 65 : 657 – 667 .
   Web of Science ®Google Scholar
• Fox , K. R. and Corbin , C. B. 1989 . The Physical Self-Perception Profile: Development and preliminary validation . Journal of Sport & Exercise Psychology , 11 : 408 – 430 .
   Web of Science ®Google Scholar
• Freund , P. A. , Holling , H. and Preckel , F. 2007 . A multivariate, multilevel analysis of the relationship between cognitive abilities and scholastic achievement . Journal of Individual Differences , 28 : 188 – 197 .
   Google Scholar
• Gollwitzer , M. , Eid , M. and Jürgensen , R. 2005 . Response styles in the assessment of anger expression . Psychological Assessment , 17 : 56 – 69 .
   PubMed Web of Science ®Google Scholar
• Marsh , H. W. 1990 . A multidimensional, hierarchical self-concept: Theoretical and empirical justification . Educational Psychology Review , 2 : 77 – 172 .
   Web of Science ®Google Scholar
• Marsh , H. W. 2007 . “ Application of confirmatory factor analysis and structural equation modelling in sport and exercise psychology ” . In Handbook of sport psychology , Edited by: Tenenbaum , G. and Eklund , R. C. 774 – 789 . Hoboken , NJ : Wiley . InEd.pp.
   Google Scholar
• Marsh , H. W. , Aşçi , F. H. and Tomás , I. M. 2002 . Multitrait-multimethod analyses of two physical self-concept instruments: A cross-cultural perspective . Journal of Sport & Exercise Psychology , 24 : 99 – 119 .
   Web of Science ®Google Scholar
• Marsh , H. W. , Bar-Eli , M. , Zach , S. and Richards , G. E. 2006 . Construct validation of Hebrew versions of three physical self-concept measures: An extended multitrait-multimethod analysis . Journal of Sport & Exercise Psychology , 28 : 310 – 343 .
   Web of Science ®Google Scholar
• Marsh , H. W. , Martin , A. J. and Jackson , S. 2010 . Introducing a short version of the Physical Self-Description Questionnaire: New strategies, short-form evaluative criteria, and applications of factor analyses . Journal of Sport & Exercise Psychology , 32 : 438 – 482 .
   PubMed Web of Science ®Google Scholar
• Marsh , H. W. and Redmayne , R. S. 1994 . A multidimensional physical self-concept and its relation to multiple components of physical fitness . Journal of Sport & Exercise Psychology , 16 : 45 – 55 .
   Google Scholar
• Marsh , H. W. , Richards , G. E. , Johnson , S. , Roche , L. A. and Tremayne , P. 1994 . Physical self-description questionnaire: Psychometric properties and a multitrait-multimethod analysis of relations to existing instruments . Journal of Sport & Exercise Psychology , 16 : 270 – 305 .
   Web of Science ®Google Scholar
• Masters , G. 1982 . A Rasch model for partial credit scoring . Psychometrika , 47 : 147 – 174 .
   Web of Science ®Google Scholar
• Rasch , G. 1960 . Probabilistic models for some intelligence and attainment tests , Copenhagen , Denmark : Nielsen & Lydiche .
   Google Scholar
• Richards , G. E. 1988 . Physical Self-Concept Scale , Sydney , Australia : Australian Outward Bound Foundation .
   Google Scholar
• Rost , J. 1990 . Rasch models in latent classes. An integration of two approaches to item analysis . Applied Psychological Measurement , 14 : 271 – 282 .
   Web of Science ®Google Scholar
• Rost , J. 2004 . Testtheorie—testkonstruktion , Switzerland : Huber . (2. Aufl.)[Test theory—test construction(2nd ed.)]. Bern
   Google Scholar
• Samuelsen , K. 2008 . “ Examining differential item function from a latent class perspective ” . In Mixture models in latent variable research , Edited by: Hancock , G. and Samuelsen , K. 177 – 197 . Greenwich , CT : Information Age Publishing, Inc . InEds.pp.
   Google Scholar
• Schipke , D. and Freund , P. A. 2012 . A meta-analytic reliability generalization of the Physical Self-Description Questionnaire (PSDQ) . Psychology of Sport and Exercise , 13 : 789 – 797 .
   Web of Science ®Google Scholar
• Schwarz , G. 1978 . Estimating the dimension of a model . Annals of Statistics , 6 : 461 – 464 .
   Web of Science ®Google Scholar
• Shavelson , R. J. , Hubner , J. J. and Stanton , G. C. 1976 . Self-concept: Validation of construct interpretations . Review of Educational Research , 46 : 407 – 441 .
   Web of Science ®Google Scholar
• Stiller , J. and Alfermann , D. 2007 . “ Die deutsche Übersetzung des Physical Self-Description Questionnaire (PSDQ). Psychometrische Kennwerte und Befunde zur Reliabilität und Validität für die Altersgruppe Jugendliche und junge Erwachsene [The German Physical Self-Description Questionnare (PSDQ). Psychometric properties and a preliminary analysis of reliability and validity for adolescents and young adults] ” . In Zeitschrift für Sportpsychologie Vol. 14 , 149 – 161 .
   Google Scholar
• Strauss , B. , Büsch , D. and Tenenbaum , G. 2007 . “ New perspectives on measurement and testing in sport psychology ” . In Handbook of sport psychology , Edited by: Tenenbaum , G. and Eklund , R. C. 737 – 756 . Boston , MA : Wiley . InEds.3rdedpp
   Google Scholar
• Strauss , B , Büsch , D and Tenenbaum , G . 2012 . “ Rasch-modeling in sports ” . In Measurement in sport and exercise psychology , Edited by: Tenenbaum , G. , Eklund , R. and Kamata , A. 75 – 81 . Champaign , IL : Human Kinetics . InEds.pp.
   Google Scholar
• Tietjens , M. , Freund , P. A. , Büsch , D. and Strauss , B. 2012 . Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire . Psychology of Sport & Exercise , 13 : 598 – 605 .
   Web of Science ®Google Scholar
• Tsorbatzoudis , H. 2005 . Psychometric evaluation of the Greek Physical Self-description Questionnaire . Perceptual and Motor Skills , 101 : 79 – 89 .
   PubMed Web of Science ®Google Scholar
• von Davier , M. 2001 . WINMIRA 2001 [computer software] , Assessment Systems Corporation .
   Google Scholar
• von Davier , M. and Carstensen , C. H. , eds. 2007 . Multivariate and mixture distribution Rasch models. Extensions and applications , New York , NY : Springer .
   Google Scholar
• Zhu , W. 2002 . A confirmatory study of Rasch-based optimal categorization of a rating scale . Journal of Applied Measurement , 3 : 1 – 15 .
   PubMedGoogle Scholar
• Zhu , W. , Timm , G. and Ainsworth , B. A. 2001 . Rasch calibration and optimal categorization of an instrument measuring women's exercise perseverance and barriers . Research Quarterly for Exercise and Sport , 72 : 104 – 116 .
   PubMed Web of Science ®Google Scholar
• Zhu , W. , Updyke , W. and Lewandowski , C. 1997 . Post-hoc Rasch analysis of optimal categorization of an ordered-response scale . Journal of Outcome Measurement , 1 : 286 – 304 .
   PubMedGoogle Scholar