Temporal Patterns of Variable Relationships in Person-Oriented Research
Prediction and Auto-Association Models of Configural Frequency Analysis
Bibliographic Data
| ID | 15028908 |
|---|---|
| Authors | Alexander Von Eye (0000-0002-0796-8394, Michigan State University, corresponding author), Eun Young Mun (b Rutgers University ,), EUN‐YOUNG MUN (0000-0002-1820-615X, Rutgers Sexual and Reproductive Health and Rights), G Anne Bogat (0000-0002-1971-3348, Michigan State University) |
| Year | 2009 |
| Volume | 13 |
| Issue | 4 |
| Pages | 172-187 |
| Publication date | 2009-10-27 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Applied Developmental Science (JOURNAL) |
| Journal identifiers | ISSN: 1088-8691 • E-ISSN: 1532-480X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10888690903287864 |
| OpenAlex | W1991447724 |
| Language | EN |
| Citations received | 1 |
| References cited | 31 |
Longitudinal Configural Frequency Analysis (CFA) seeks to identify, at the manifest variable level, those temporal patterns that are observed more frequently (CFA types) or less frequently (CFA antitypes) than expected with reference to a base model. This article discusses, compares, and extends two base models of interest in longitudinal data analysis. The first of these, Prediction CFA (P-CFA), is a base model that can be used in the configural analysis of both cross-sectional and longitudinal data. This model takes the associations among predictors and among criteria into account. The second base model, Auto-Association CFA (A-CFA), was specifically designed for longitudinal data. This model takes the auto-associations among repeatedly observed variables into account. Both models are extended to accommodate covariates, for example, stratification variables. Application examples are given using data from a longitudinal study of domestic violence. It is illustrated that CFA is able to yield results that are not redundant with results from log-linear modeling or multinomial regression. It is concluded that CFA is particularly useful in the context of person-oriented research
Association (psychology · Context (archaeology · Covariate · Data mining · Econometrics · Geography · Longitudinal data · Longitudinal study · Multinomial distribution · Regression analysis · Statistics · Variable (mathematics · Variables · Advanced Statistical Modeling Techniques · Computer Science · Genetic Mapping and Diversity in Plants and Animals · Mathematics · Mental Health Research Topics · Psychology
Studying individual Development in An interindividual Context
A Manifesto on Psychology as Idiographic Science
Resilience Among Children Exposed to Domestic Violence
Person-Oriented and Variable-Oriented Research
School Extracurricular Activity Participation as a Moderator in the Development of Antisocial Patterns
The Brief Symptom Inventory
Configural Frequency Analysis As a Statistical Tool for Defining Types
Development of the severity of violence against women scales
Temporal patterns of variable relationships in person-oriented research
| Citations per year | 0.07 |
|---|---|
| Citation span | 2012 - 2012 (1) |
| Highly cited | No |