| Reconsidering formative measurement. | |
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MedLine Citation:
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PMID: 17563173 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The relationship between observable responses and the latent constructs they are purported to measure has received considerable attention recently, with particular focus on what has become known as formative measurement. This alternative to reflective measurement in the area of theory-testing research is examined in the context of the potential for interpretational confounding and a construct's ability to function as a point variable within a larger model. Although these issues have been addressed in the traditional reflective measurement context, the authors suggest that they are particularly relevant in evaluating formative measurement models. On the basis of this analysis, the authors conclude that formative measurement is not an equally attractive alternative to reflective measurement and that whenever possible, in developing new measures or choosing among alternative existing measures, researchers should opt for reflective measurement. In addition, the authors provide guidelines for researchers dealing with existing formative measures. |
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Authors:
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Roy D Howell; Einar Breivik; James B Wilcox |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Psychological methods Volume: 12 ISSN: 1082-989X ISO Abbreviation: Psychol Methods Publication Date: 2007 Jun |
Date Detail:
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Created Date: 2007-06-12 Completed Date: 2007-09-06 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9606928 Medline TA: Psychol Methods Country: United States |
Other Details:
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Languages: eng Pagination: 205-18 Citation Subset: IM |
Copyright Information:
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Copyright 2007 APA, all rights reserved. |
Affiliation:
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Marketing Area, Rawls College of Business, Texas Tech University, Lubbock, TX 79409-2101, USA. roy.howell@ttu.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Data Collection
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statistics & numerical data* Data Interpretation, Statistical* Humans Models, Statistical* Nomograms Research Design / statistics & numerical data Social Sciences / statistics & numerical data* Socioeconomic Factors Statistics as Topic |
| Comments/Corrections | |
Comment In:
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Psychol Methods. 2007 Jun;12(2):229-37; discussion 238-45
[PMID:
17563175
]
Psychol Methods. 2007 Jun;12(2):219-28; discussion 238-45 [PMID: 17563174 ] |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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