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Le centre de documentation de la HELHa Cardijn LLN met à disposition de ses lecteurs un fonds documentaire spécialisé dans les domaines pouvant intéresser – de près ou de loin - les (futur·e·s) travailleur·euse·s sociaux·ales : travail social, sociologie, psychologie, droit, santé, économie, pédagogie, immigration, vieillissement, famille, précarité, délinquance, emploi, communication, etc.
Détail de l'auteur
Auteur Brian E. Perron |
Documents disponibles écrits par cet auteur
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A Systematic Review of Structural Equation Modelling in Social Work Research / Baorong Guo in The british journal of social work, 8, vol. 39 (December 2009)
[article]
Titre : A Systematic Review of Structural Equation Modelling in Social Work Research Type de document : texte imprimé Auteurs : Baorong Guo, Auteur ; Brian E. Perron, Auteur ; David F. Gillespie, Auteur Année de publication : 2009 Article en page(s) : pp. 1556-1574 Langues : Français (fre) Catégories : Cardijn
Travail social
TS
Sciences sociales :Sciences sociales -- RechercheRésumé : "Structural equation modelling (SEM) is serving an increasingly important role in developing knowledge for the social work profession. Numerous advances have made the software more user-friendly, enabling users to conduct analyses without fully understanding the underlying assumptions or the implications from their analytic decisions. Unlike other fields, there have not been any published reviews in social work research that systematically describe and critique the use of SEM. This study systematically reviewed how SEM is used in social work research and the extent to which it reflects best practices. Thirty-two articles from top-ranked social work journals published from 2001 to 2007 were examined. Of the different types of SEM, the most commonly used was confirmatory factor analysis. Strengths of the research reviewed included examining models and measures not previously tested empirically and generating new insights into old topics through the use of SEM. Weaknesses included significant model modifications without theoretical justification or substantive interpretations. Suggestions are offered for improving applications of SEM in social work research. Specifically, we encourage social work researchers to test competing models, to make model modifications only when theoretically justified, to detail the process of making modifications and to use estimation procedures appropriate to the data." Permalink : http://cdocs.helha.be/pmblln/opac_css/index.php?lvl=notice_display&id=14658
in The british journal of social work > 8, vol. 39 (December 2009) . - pp. 1556-1574[article] A Systematic Review of Structural Equation Modelling in Social Work Research [texte imprimé] / Baorong Guo, Auteur ; Brian E. Perron, Auteur ; David F. Gillespie, Auteur . - 2009 . - pp. 1556-1574.
Langues : Français (fre)
in The british journal of social work > 8, vol. 39 (December 2009) . - pp. 1556-1574
Catégories : Cardijn
Travail social
TS
Sciences sociales :Sciences sociales -- RechercheRésumé : "Structural equation modelling (SEM) is serving an increasingly important role in developing knowledge for the social work profession. Numerous advances have made the software more user-friendly, enabling users to conduct analyses without fully understanding the underlying assumptions or the implications from their analytic decisions. Unlike other fields, there have not been any published reviews in social work research that systematically describe and critique the use of SEM. This study systematically reviewed how SEM is used in social work research and the extent to which it reflects best practices. Thirty-two articles from top-ranked social work journals published from 2001 to 2007 were examined. Of the different types of SEM, the most commonly used was confirmatory factor analysis. Strengths of the research reviewed included examining models and measures not previously tested empirically and generating new insights into old topics through the use of SEM. Weaknesses included significant model modifications without theoretical justification or substantive interpretations. Suggestions are offered for improving applications of SEM in social work research. Specifically, we encourage social work researchers to test competing models, to make model modifications only when theoretically justified, to detail the process of making modifications and to use estimation procedures appropriate to the data." Permalink : http://cdocs.helha.be/pmblln/opac_css/index.php?lvl=notice_display&id=14658 Exemplaires (1)
Cote Support Localisation Section Disponibilité PER BJS 39/8 (2009) Périodique Centre de documentation HELHa Cardijn LLN Réserve Périodiques Disponible