| Title |
The use of cognitive ability measures as explanatory variables in regression analysis
|
|---|---|
| Published in |
IZA Journal of Labor Economics , October 2012
|
| DOI | 10.1186/2193-8997-1-4 |
| Pubmed ID | |
| Authors |
Brian Junker, Lynne Steuerle Schofield, Lowell J Taylor |
| Abstract |
Cognitive ability measures are often taken as explanatory variables in regression analysis, e.g., as a factor affecting a market outcome such as an individual's wage, or a decision such as an individual's education acquisition. Cognitive ability is a latent construct; its true value is unobserved. Nonetheless, researchers often assume that a test score, constructed via standard psychometric practice from individuals' responses to test items, can be safely used in regression analysis. We examine problems that can arise, and suggest that an alternative approach, a "mixed effects structural equations" (MESE) model, may be more appropriate in many circumstances. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 28% |
| Researcher | 5 | 12% |
| Professor > Associate Professor | 4 | 9% |
| Professor | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 11 | 26% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 17 | 40% |
| Social Sciences | 10 | 23% |
| Medicine and Dentistry | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 8 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2023.
All research outputs
#8,713,411
of 25,806,080 outputs
Outputs from IZA Journal of Labor Economics
#44
of 70 outputs
Outputs of similar age
#65,981
of 192,480 outputs
Outputs of similar age from IZA Journal of Labor Economics
#3
of 5 outputs
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