Combining Parallel and Exploratory Factor Analysis in Identifying Relationship Scales in Secondary Data
Bibliographic Data
| ID | 11220221 |
|---|---|
| Authors | Nathan D Wood (0000-0002-6755-1654, University of Kentucky, corresponding author), Djidjoho C Akloubou Gnonhosou (University of Kentucky), Justin W Bowling (University of Kentucky) |
| Year | 2015 |
| Volume | 51 |
| Issue | 5 |
| Pages | 385-395 |
| Publication date | 2015-07-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Marriage & Family Review (JOURNAL) |
| Journal identifiers | ISSN: 0149-4929 • E-ISSN: 1540-9635 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01494929.2015.1059785 |
| PMID | 26494935 |
| OpenAlex | W2413636482 |
| Language | EN |
| Citations received | 30 |
| References cited | 25 |
Common methods used in the literature to identify factors within exploratory factor analysis has been shown to be potentially problematic. This brief report illustrates a state of the art approach in identifying factor structure by adding parallel analysis prior to exploratory factor analysis. Parallel analysis enables researchers to have a high degree of confidence of the number of factors to extract prior to exploratory factor analysis. The procedure is illustrated by using items from the National Survey of Families and Households (NSFH) that were used to identify relationship scales
Data mining · Data science · Exploratory analysis · Exploratory data analysis · Exploratory factor analysis · Exploratory research · Factor (programming language · Machine learning · Social science · Sociology · Statistics · Structural equation modeling · Attachment and Relationship Dynamics · Computer Science · Family Dynamics and Relationships · Mathematics · Work-Family Balance Challenges
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| Unique citing works | 30 |
|---|---|
| Citations per year | 3,75 |
| Citation span | 2018 - 2026 (9) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 30 |