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Choosing the Optimal Number of Factors in Exploratory Factor Analysis: A Model Selection Perspective
A central problem in the application of exploratory factor analysis is deciding how many factors to retain (m). Although this is inherently a model selection problem, a model selection perspective isExpand
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  • Open Access
What leads to romantic attraction: similarity, reciprocity, security, or beauty? Evidence from a speed-dating study.
Years of attraction research have established several "principles" of attraction with robust evidence. However, a major limitation of previous attraction studies is that they have almost exclusivelyExpand
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Predicting marital satisfaction from self, partner, and couple characteristics: is it me, you, or us?
Past research on the link between personal characteristics and marital satisfaction has taken either an individual or a dyadic approach. The individual approach examines how self and/or partnerExpand
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Factor Analysis at 100:Historical Developments and Future Directions
When writing can change your life, when writing can enrich you by offering much money, why don't you try it? Are you still very confused of where getting the ideas? Do you still have no idea withExpand
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  • Open Access
Developments in the Factor Analysis of Individual Time Series
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  • Open Access
Bootstrap Standard Error Estimates in Dynamic Factor Analysis
Dynamic factor analysis summarizes changes in scores on a battery of manifest variables over repeated measurements in terms of a time series in a substantially smaller number of latent factors.Expand
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Estimating Standard Errors in Exploratory Factor Analysis
  • Guangjian Zhang
  • Medicine, Mathematics
  • Multivariate behavioral research
  • 4 July 2014
The article describes 6 issues influencing standard errors in exploratory factor analysis and reviews 7 methods of computing standard errors for rotated factor loadings and factor correlations. TheseExpand
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Analytic Standard Errors for Exploratory Process Factor Analysis
Exploratory process factor analysis (EPFA) is a data-driven latent variable model for multivariate time series. This article presents analytic standard errors for EPFA. Unlike standard errors forExpand
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  • Open Access
Dynamic Factor Analysis Models With Time-Varying Parameters
Dynamic factor analysis models with time-varying parameters offer a valuable tool for evaluating multivariate time series data with time-varying dynamics and/or measurement properties. We use theExpand
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  • Open Access
Ordinary Least Squares Estimation of Parameters in Exploratory Factor Analysis With Ordinal Data
Exploratory factor analysis (EFA) is often conducted with ordinal data (e.g., items with 5-point responses) in the social and behavioral sciences. These ordinal variables are often treated as if theyExpand
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