X-ray your data with Rasch

By using the Rasch model, much detailed diagnostic information is available to developers of survey and assessment instruments and to the researchers who use them. We outline an approach to the analysis of data obtained from the administration of survey instruments that can enable researchers to recognise and diagnose difficulties with those instruments and then to suggest remedial actions that can improve the measurement properties of the scales included in questionnaires. We illustrate the approach using examples drawn from recent research and demonstrate how the approach can be used to generate figures that make the results of Rasch analyses accessible to non-specialists.

[1]  Siek-Toon Khoo,et al.  Quest: The Interactive Test Analysis System. , 1993 .

[2]  J. L. Holland,et al.  Making vocational choices : a theory of vocational personalities and work environments , 1984 .

[3]  Joel Michell,et al.  Stevens's theory of scales of measurement and its place in modern psychology , 2002 .

[4]  Christine E. DeMars,et al.  Item Response Theory , 2010, Assessing Measurement Invariance for Applied Research.

[5]  S. S. Stevens Mathematics, measurement, and psychophysics. , 1951 .

[6]  G. Masters,et al.  Rating scale analysis , 1982 .

[7]  Stephen Olejnik,et al.  The Power of Rasch Person-Fit Statistics in Detecting Unusual Response Patterns , 1997 .

[8]  J. Michell Quantitative science and the definition of measurement in psychology , 1997 .

[9]  C. Fox,et al.  Applying the Rasch Model: Fundamental Measurement in the Human Sciences , 2001 .

[10]  Development of the multidimensional school anger inventory for males , 1998 .

[11]  Michael R. Harwell,et al.  Rescaling Ordinal Data to Interval Data in Educational Research , 2001 .

[12]  Raymond J. Adams,et al.  Reliability as a Measurement Design Effect. , 2005 .

[13]  Lisa De Bortoli,et al.  Facing the Future: A Focus on Mathematical Literacy among Australian 15-Year-Old Students in PISA 2003. , 2004 .

[14]  D. Smith,et al.  Effects of Pessimism and Explanatory Style on Development of Anger in Children , 2003 .

[15]  M. Furlong,et al.  Cross-Validation and Rasch Analyses of the Australian Version of the Multidimensional School Anger Inventory–Revised , 2006 .

[16]  J. Linacre Detecting multidimensionality: which residual data-type works best? , 1998, Journal of outcome measurement.