Canonical Correlation Analysis in Family Research
Bibliographic Data
| ID | 2587922 |
|---|---|
| Authors | Steven D Mclaughlin (corresponding author), Luther B Otto |
| Year | 1981 |
| Volume | 43 |
| Issue | 1 |
| Pages | 7 |
| Publication date | 1981-02-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Marriage and the Family (JOURNAL) |
| Journal identifiers | ISSN: 0022-2445 • E-ISSN: 1741-3737 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/351413 |
| OpenAlex | W2022643460 |
| Language | EN |
| Citations received | 11 |
| References cited | 5 |
With the development of refined theory and increased measurement sophistication in family research, multidimensional concepts and multiple indicators are appearing with increased frequency in the literature. The resulting analytical challenges are especially formidable when the theoretical models require the analysis of two sets of multiple indicators. Although canonical correlation is a technique specifically designed to accommodate this problem, the technique has received little attention in family research. In this paper, we provide a nonmathematical introduction to canonical correlation analysis and three empirical examples that demonstrate the technique's applicability in family research
Canonical analysis · Canonical correlation · Correlation · Econometrics · Empirical research · Machine learning · Social science · Sociology · Sophistication · Statistics · Advanced Causal Inference Techniques · Advanced Statistical Modeling Techniques · Artificial Intelligence · Computer Science · Mathematics
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| Unique citing works | 11 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 1982 - 2008 (27) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 11 |