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Direct linkKoran, Jennifer – Measurement and Evaluation in Counseling and Development, 2016
Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.
Descriptors: Factor Analysis, Sample Size, Models, Sampling
Download full textPoulou, Maria – International Journal of Educational Psychology, 2015
In this study, the role of teacher-student relationships and students' social and emotional skills as potential predictors of students' emotional and behavioural difficulties was investigated by tapping into 962 primary school students' perceptions via questionnaires. While significant correlations were found linking teachers' interpersonal…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Teachers, Teacher Student Relationship
Arnau, Randolph C. – 1998
This paper presents the methodology for performing and interpreting second-order factor analysis. Procedures for extracting and rotating solutions are presented. Critical issues of interpretation, such as interpreting second-order factors are discussed. Two methods for accomplishing this are explained, including multiplying the first- and…
Descriptors: Correlation, Factor Analysis, Heuristics, Research Methodology
Mittag, Kathleen Cage – 1993
Most researchers using factor analysis extract factors from a matrix of Pearson product-moment correlation coefficients. A method is presented for extracting factors in a non-parametric way, by extracting factors from a matrix of Spearman rho (rank correlation) coefficients. It is possible to factor analyze a matrix of association such that…
Descriptors: Correlation, Factor Analysis, Heuristics, Mathematical Models
Peer reviewedRoznowski, Mary; And Others – Applied Psychological Measurement, 1991
Three heuristic methods of assessing the dimensionality of binary item pools were evaluated in a Monte Carlo investigation. The indices were based on (1) the local independence of unidimensional tests; (2) patterns of second-factor loadings derived from simplex theory; and (3) the shape of the curve of successive eigenvalues. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Evaluation Methods
Thomas, Linda A. – 1995
This paper conceptually explains higher-order factor analysis and methods for interpretation. A review of first-order factor analysis is presented that provides the foundation for the summary of second-order factor analysis. Higher order factors are derived from the correlations between the lower-level factors. An example study is provided to make…
Descriptors: Attitude Measures, College Students, Correlation, Factor Analysis
