Groups are used widely in the language classroom and, particularly in classes where there is a wide range of English proficiency among students, teachers may want to construct balanced groups based on the language proficiency of individual students. In order to construct such groups, teachers need a reliable measure that effectively differentiates between different levels of proficiency, and ye...

These studies examine the relationship between the analytic basis underlying the hierarchies produced by the Model of Hierarchical Complexity and the probabilistic Rasch scales that places both participants and problems along a single hierarchically ordered dimension. A Rasch analysis was performed on data from the balance-beam task series. This yielded scaled stage of performance for each of t...

AIMS To evaluate the homogeneity of the elements of the Substance Dependence Syndrome (SDS) as applied to benzodiazepines (BZDs) by Rasch modelling. MEASUREMENTS The Rasch scaling model was applied to data obtained by administering the SCAN (Schedules for Clinical Assessments in Neuropsychiatry) substance dependence sections. Subsequently, Rasch-homogeneous sets of DSM-III-R and ICD-10 BZD de...

Necessary and sufficient relations between measurement objectivity and psychometric models for data in more than two categories are reviewed and extended. Rasch (1960, 1961) and others prove the sufficiency of Rasch models for objectivity. Douglas and Wright (1986) derive the model necessary for objectivity for data in two categories. Rasch (1968) outlines a proof of the model necessary for obs...

Abstract Quantitative consumer and marketing research is looking back on an era of construct operationalization predominantly based on classical test theory as a technical framework of scale development. Rasch measurement theory provides an alternative framework of measurement. Previous studies demonstrated the potential of Rasch measurement for marketing research from a theoretical viewpoint, ...

Rasch analysis is an increasingly popular approach to questionnaire reduction and the validation of outcome measures, and is rapidly overtaking the standard classical test theory approaches of Cronbach’s alpha and Factor Analysis. Data from outcome measures, in which the items are intended for summation to create an overall ordinal score, are tested against the expectations of the Rasch measure...

The Rasch measurement model for developing and revising career assessment tools has many advantages over traditional test development methods. To better understand this method, the current study met its two purposes (a) to illustrate how the Rasch measurement model can aid vocational psychology researchers in increased precision and accuracy in assessment; and (b) to examine the psychometric an...

In a recent paper, Hessen (Psychometrika 70(3):497-516, 2005) introduces the class of constant latent odds-ratios models as an extension of the Rasch model for which the sum score is still the sufficient statistic for ability. In this paper the relation between both the general and the general parametric constant latent odds-ratios model and the Rasch model is considered.

OBJECTIVE Anxiety is a common non-motor symptom in Parkinson's disease (PD). This study analyzed the measurement properties of three frequently used anxiety scales in PD: the Beck Anxiety Inventory (BAI), the Hamilton Anxiety Rating Scale (HARS), and the Hospital Anxiety and Depression Scale-Anxiety subscale (HADS-A). METHOD The Rasch model was applied to a multicenter international cohort of...

BACKGROUND The Patient Rated Elbow Evaluation (PREE) was developed as an elbow joint specific measure of pain and disability and validated with classical psychometric methods. More recently, Rasch analysis has contributed new methods for analyzing the clinical measurement properties of self-report outcome measures. The objective of the study was to determine aspects of validity of the PREE usin...