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Journal Article

Applying Multidimensional Item Response Theory Analysis to a Measure of Meta‑Perspective Performance  pp23-30

K. Michele Kacmar, William L. Farmer, Suzanne Zivnuska, L. A. Witt

© Nov 2006 Volume 4 Issue 1, Editor: Arthur Money, pp1 - 66

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Abstract

The authors introduce a scale to measure meta‑perspectives, my view of your view of me, about one's performance in an organizational setting. Applied to the performance appraisal process, this perspective allows the authors to investigate how employees think their supervisors view their performance. Meta‑perspectives thereby enrich our understanding of the relationship effects inherent in the performance appraisal process. Due to the desirable properties of item response theory (non‑sample specific item parameter estimates), a multidimensional item response theory (MIRT) model was applied to the data. This allowed for the simultaneous estimation of dimensionality and item threshold values. Data collected from 1,255 full‑time workers in two different organizations reveal that the items did not lie along a unidimensional continuum, but that three dimensions underlie the proposed scale: employee perceptions of the supervisor's view of employee work ethic, work product, and self‑regulation. The authors offer suggestions for refinement of the scale and future research.

 

Keywords: Item response theory, scale development

 

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Journal Issue

Volume 4 Issue 1 / Nov 2006  pp1‑66

Editor: Arthur Money

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Editorial

"This new edition of EJBRM once again offers readers a range of interesting ideas concerning various options available to the academic researcher working in the business and management field of study.

With regards to research methodology the business and management field of study has much to offer the researcher in a number of respects. The first reason for this is that this field of study is so broad and so many interesting topics fall within its ambit. This is of course and advantage as well as a major challenge for the academics who work in this field of study. Different topics have different research methodology potentials and so researchers have much to choose from.

There is also the question of the fact that there is a stream of new and interesting ideas being generate as to how to tackle both new as well as well established research topics.

For this issue papers of topics such as ""Can methodological applications develop critical thinking?"" (Blackman and Benson), ""Getting the most from NUD•IST/Nvivo"" (Dean and Sharp), ""Applying Multidimensional Item Response Theory Analysis to a Measure of Meta‑Perspective Performance"" (Kacmar et al), ""A few proposals for designing and controlling a doctoral research project in management sciences"" (Lauriol), ""Validation of Simulation based Models: a Theoretical Outlook"" (Martis), ""Motivators for Australian consumers to search and shop online"" (Michael), ""A case study on the selection and evaluation of software for an Internet organisation"" (van Staaden and Lubbe) have been accepted.

I trust that readers will find these papers as interesting as I have."

 

Keywords: Black Box testing, business process, CAQDAS, coding and reporting, commercial software system, consumer behaviour, critical thinking, dynamic models, evaluation, internet, interpreting data transcription, item response theory, modeling motivating factors, NUD*IST/NVivo, qualitative research reporting, request for proposal (RFP), research methodology, scale development simulation, software, validation process, validation schemes, validation, vendors

 

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