Applying the Rasch Model

Bond, Trevor G.; Fox, Christine

doi:10.4324/9781410614575

Cited by 189 publications

(84 citation statements)

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“…Following Wilson (2005), for large sample sizes, t-statistics often show significant values regardless of fit; therefore items should be considered problematic only if both the weighted MNSQ and t-statistics show misfit. Standard bounds for fit using MNSQ are 1.33 as an upper bound and 0.75 as a lower bound (Adams & Khoo, 1996) and for t-statistics are 62 (Bond & Fox, 2001). All items showed good fit, except one item from the analyze dimension (an4), which had both infit mean square and t-statistics which were beyond these bounds.…”

Section: Validitymentioning

confidence: 99%

Validity and Reliability Evidence of the Engineering Professional Responsibility Assessment Tool

Canney

Bielefeldt

2016

J. Eng. Educ.

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Background The development of social responsibility is important for educating holistic engineers, able to work across social and cultural boundaries to solve complex social issues. A way is needed to measure effective interventions for increasing social responsibility. Purpose/Hypothesis This article describes the Engineering Professional Responsibility Assessment (EPRA) instrument and provides evidence of its usability, validity, and reliability. The EPRA measures students' social responsibility attitudes and operationalizes the professional social responsibility development model, which describes the development of personal and professional social responsibility in engineers. The EPRA is intended to be used by educators to assess curricular interventions aimed at changing students' views of social responsibility. Design/Method The EPRA was developed in an iterative manner, using five different survey administrations with adjustments made to the instrument between each. Data from the final survey with 1,000 student responses were used to develop evidence of validity through expert feedback, structural equation modeling, multidimensional item response theory, and convergent evidence of validity and evidence of reliability using ordinal alpha. Results Evidence of validity and reliability indicates the appropriateness of the EPRA to measure social responsibility attitudes in engineering students. Conclusions The evidence of reliability and validity shows that the EPRA may be a useful tool to assess engineering student views of social responsibility, changes in those views over time, and the effectiveness of educational interventions intended to affect these attitudes.

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Section: Validitymentioning

confidence: 99%

Validity and Reliability Evidence of the Engineering Professional Responsibility Assessment Tool

Canney

Bielefeldt

2016

J. Eng. Educ.

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“…The analysis was conducted on the original four-point scaled PGSI items. With this approach, the Rasch-generated severity estimates represent the overall severity for the item across all non-zero responses (Bond and Fox, 2007). Rasch modelling requires variability in responses across items therefore individuals who endorsed no PGSI items (n = 21,597) or all PGSI items (n = 5) were removed from the analysis, leaving 3992 cases.…”

Section: Rasch Modellingmentioning

confidence: 99%

Validation of the problem gambling severity index using confirmatory factor analysis and rasch modelling

Miller

Currie

Hodgins

et al. 2013

Int J Methods Psych Res

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The Problem Gambling Severity Index (PGSI), a screening tool used to measure the severity of gambling problems in general population research, was subjected to confirmatory factor analysis and Rasch modelling to (a) confirm the one-factor structure; (b) assess how well the items measure the continuum of problem gambling severity; (c) identify sources of differential item functioning among relevant subpopulations of gamblers. Analyses were conducted on a nationally representative sample of over 25,000 gamblers compiled by merging data from the Canadian Community Health Survey and Canadian Problem Gambling Index (CPGI) integrated datasets. Results provided support for a one-factor model that was invariant across gender, age, income level, and gambler type. Rasch modelling revealed a well-fitting, unidimensional model with no miss-fitting items. The average severity assessed by the PGSI is consistent with moderately severe problem gambling. The PGSI is therefore weak in assessing low to moderate problem severity, a notable limitation of most brief gambling screens. Evidence of clinically significant differential item functioning was found with only one item, borrowing money to gamble, which behaved differently in gamblers who play electronic gaming machines or casino games compared to gamblers who avoid these games.

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“…The RRSM is particularly useful because it possesses the property of invariance. Whereas traditional methods for survey validation studies are sample dependent, the RRSM can objectively measure both the latent trait and the difficulty to endorse each item without regard to the particulars of the sample (Bond & Fox, 2007;Wright & Stone, 1999). Further, the RRSM makes it possible to place both person and item measures onto the same linear continuum to discern the relationship between these two facets.…”

Section: Discussionmentioning

confidence: 99%

Further Validation of the Inventory of Mental Toughness Factors in Sport (IMTF-S)

Stonkus¹,

Royal

2015

IJPS

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The purpose of this study was to provide further validation a new measure of mental toughness in sport. The Inventory of Mental Toughness Factors in Sport (IMTF-S) was originally developed and validated using principal component analysis. For the present study, the psychometric properties of the IMTF-S were again evaluated, but by way of the Rasch Rating Scale Model using the same sample (n=329) of athletes, and the same 42-item instrument measuring mental toughness on a 5-point Likert-type scale (always-never). Results indicate the IMTF-S is a psychometrically-sound instrument capable of producing valid and reproducible measures of mental toughness in sports.

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Applying the Rasch Model

Cited by 189 publications

References 0 publications

Validity and Reliability Evidence of the Engineering Professional Responsibility Assessment Tool

Validity and Reliability Evidence of the Engineering Professional Responsibility Assessment Tool

Validation of the problem gambling severity index using confirmatory factor analysis and rasch modelling

Further Validation of the Inventory of Mental Toughness Factors in Sport (IMTF-S)

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