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Practical Person-Fit Assessment with the Linear FA Model: New Developments and a Comparative Study.

ABSTRACT: Linear factor analysis (FA) is, possibly, the most widely used model in psychometric applications based on graded-response or more continuous items. However, in these applications consistency at the individual level (person fit) is virtually never assessed. The aim of the present study is to propose a simple and workable approach to routinely assess person fit in FA-based studies. To do so, we first consider five potentially appropriate indices, of which one is a new proposal and the other is a modification of an existing index. Next, the effectiveness of these indices is assessed by using (a) a thorough simulation study that attempts to mimic realistic conditions, and (b) an illustrative example based on real data. Results suggest that the mean-squared lico index and the personal correlation work well in conjunction and can function effectively for detecting different types of inconsistency. Finally future directions and lines of research are discussed.

SUBMITTER: Ferrando PJ

PROVIDER: S-EPMC5186803 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Practical Person-Fit Assessment with the Linear FA Model: New Developments and a Comparative Study.

Ferrando Pere J PJ Vigil-Colet Andreu A Lorenzo-Seva Urbano U

Frontiers in psychology 20161227

Linear factor analysis (FA) is, possibly, the most widely used model in psychometric applications based on graded-response or more continuous items. However, in these applications consistency at the individual level (person fit) is virtually never assessed. The aim of the present study is to propose a simple and workable approach to routinely assess person fit in FA-based studies. To do so, we first consider five potentially appropriate indices, of which one is a new proposal and the other is a ...[more]

PMID: 28082929

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Project description:The organization and function of the institutional animal care and use committee (IACUC) is the key component of government regulation and oversight of necessary scientific research using live animals and of AAALAC - International accreditation of animal care and use programs in the United States. The regulations, roles, and responsibilities of IACUCs have evolved since their inception 35 years ago from a limited focus on animal welfare and specific animal procedures to embracing scientific quality, data reproducibility and translation, and animal welfare as inextricably interdependent and critical components of generation of new scientific knowledge and medical treatments. A current challenge for IACUCs is in evaluating whether benefits to be derived (eg, new knowledge or treatments) justify any unavoidable pain, stress, or injury associated with proposed research protocols, because the former are long-term and at best speculative outcomes, whereas the latter are immediate and tangible for the study animals. Scientific consensus is that research most likely to generate significant new knowledge and medical treatments is that conducted to high scientific, technical, and quality standards and reported with full transparency to facilitate reproducibility. As an alternative to current benefits evaluations included in risk benefit and harm benefit constructs, the authors propose that IACUCs assess the proposed research for scientific quality and alignment of study elements with the study purpose (e.g., Fit for Purpose [FfP]), including justifications for study design components, selection of primary endpoints and technologies, rationale for data and statistical analyses, and research communication plans. Fit for Purpose endpoints are objective, immediate, and impactful as are the potential risks for study animals, and at the same time they are the best predictors for achievement of longer-term benefits. We propose that IACUCs and any revision of The ILAR Guide consider FfP concepts in place of traditional benefits assessment to accelerate the generation of new knowledge and treatments benefiting medical and veterinary patients and the environment through better science and animal welfare rather than to continue to rely on speculative future outcomes.

Project description:ObjectivesPeople interact with their work environment through being, to a greater or lesser extent, compatible with aspects of their setting. This interaction between person and environment is particularly relevant in healthcare settings where compatibility affects not only the healthcare professionals, but also potentially the patient. One way to examine this association is to investigate person-organisation (P-O) fit and person-group (P-G) fit. This systematic review aimed to identify and synthesise knowledge on both P-O fit and P-G fit in healthcare to determine their association with staff outcomes. It was hypothesised that there would be a positive relationship between fit and staff outcomes, such that the experience of compatibility and 'fitting in' would be associated with better staff outcomes.DesignA systematic review was conducted based on an extensive search strategy guided by Preferred Reporting Items for Systematic review and Meta-Analyses to identify relevant literature.Data sourcesCINAHL Complete, EMBASE, Ovid MEDLINE, PsycINFO and Scopus.Eligibility criteriaArticles were included if they were empirical studies, published in peer-reviewed journals in English language, set in a healthcare context and addressed the association that staff outcomes have with P-O and/or P-G fit.Data extraction and synthesisIncluded texts were examined for study characteristics, fit constructs examined and types of staff outcomes assessed. The Quality Assessment Tool was used to assess risk of bias.ResultsTwenty-eight articles were included in the review. Of these, 96.4% (27/28) reported a significant, positive association between perception of fit and staff outcomes in healthcare contexts, such that a sense of compatibility had various positive implications for staff, including job satisfaction and retention.ConclusionAlthough the results, as with all systematic reviews, are prone to bias and definitional ambiguity, they are still informative. Generally, the evidence suggests an association between employees' perceived compatibility with the workplace or organisation and a variety of staff outcomes in healthcare settings.

Dataset Information

Practical Person-Fit Assessment with the Linear FA Model: New Developments and a Comparative Study.

Publications

Practical Person-Fit Assessment with the Linear FA Model: New Developments and a Comparative Study.

Similar Datasets

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