Reconsidering formative measurement.
Bibliographic Data
| ID | 23333371 |
|---|---|
| Authors | Roy D Howell (Texas Tech University), Einar Breivik (Norwegian School of Economics), James B Wilcox (Texas Tech University) |
| Year | 2007 |
| Volume | 12 |
| Issue | 2 |
| Pages | 205-218 |
| Publication date | 2007-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Methods (JOURNAL) |
| Journal identifiers | ISSN: 1082-989X • E-ISSN: 1939-1463 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/1082-989x.12.2.205 |
| PMID | 17563173 |
| OpenAlex | W2029442175 |
| Language | EN |
| Citations received | 77 |
| References cited | 25 |
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.
Construct (python library) · Context (archaeology) · Data mining · Formative assessment · Function (biology) · Mathematics education · Measure (data warehouse) · Point (geometry) · Advanced Statistical Modeling Techniques · Computer Science · Evaluation and Performance Assessment · Mathematics · Psychology · Psychometric Methodologies and Testing
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| Unique citing works | 77 |
|---|---|
| Citations per year | 4,28 |
| Citation span | 2008 - 2026 (19) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 73 |