An SPSS R-Menu for Ordinal Factor Analysis
暂无分享,去创建一个
[1] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[2] B P O'Connor,et al. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[3] B. Muthén,et al. A comparison of some methodologies for the factor analysis of non‐normal Likert variables , 1985 .
[4] Richard G. Lomax,et al. A Beginner's Guide to Structural Equation Modeling , 2022 .
[5] Jason W. Osborne,et al. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. , 2005 .
[6] Ira H. Bernstein,et al. Factoring items and factoring scales are different: Spurious evidence for multidimensionality due to item categorization. , 1989 .
[7] R. Gorsuch,et al. Effects of under- and overextraction on principal axis factor analysis with varimax rotation. , 1996 .
[8] Nigel E. Turner,et al. The Effect of Common Variance and Structure Pattern on Random Data Eigenvalues: Implications for the Accuracy of Parallel Analysis , 1998 .
[9] W. Velicer. Determining the number of components from the matrix of partial correlations , 1976 .
[10] P. O. White,et al. PROMAX: A QUICK METHOD FOR ROTATION TO OBLIQUE SIMPLE STRUCTURE , 1964 .
[11] Bruno D. Zumbo,et al. Ordinal Versions of Coefficients Alpha and Theta for Likert Rating Scales , 2007 .
[12] Klaus Nordhausen,et al. Tools for Exploring Multivariate Data: The Package ICS , 2008 .
[13] Subhash Sharma. Applied multivariate techniques , 1995 .
[14] Robert I. Jennrich,et al. An Asymptotic χ2 Test for the Equality of Two Correlation Matrices , 1970 .
[15] Theodore A. Walls,et al. Non-Graphical Solutions for Cattell’s Scree Test , 2013 .
[16] Duane T. Wegener,et al. Evaluating the use of exploratory factor analysis in psychological research. , 1999 .
[17] B. Muthén. A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators , 1984 .
[18] Robert I. Jennrich,et al. Gradient Projection Algorithms and Software for Arbitrary Rotation Criteria in Factor Analysis , 2005 .
[19] M. Browne. An Overview of Analytic Rotation in Exploratory Factor Analysis , 2001 .
[20] R. Goffin,et al. Problems and Solutions in Human Assessment , 2000 .
[21] J.M.B. Shorter. Items and clusters , 1963 .
[22] A. Berger,et al. On the theory of C[alpha]-tests , 1989 .
[23] Helen M. Marcus-Roberts,et al. Meaningless Statistics , 1987 .
[24] D. Altman,et al. Statistics notes: Cronbach's alpha , 1997 .
[25] Donald A. Jackson,et al. How many principal components? stopping rules for determining the number of non-trivial axes revisited , 2005, Comput. Stat. Data Anal..
[26] Robert Ho,et al. Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS , 2006 .
[27] R. Stewart Longman,et al. Comparing Different Methods for Implementing Parallel Analysis: A Practical Index of Accuracy , 1993 .
[28] I. Bernstein. Applied Multivariate Analysis , 1988 .
[29] J H Steiger,et al. Testing Pattern Hypotheses On Correlation Matrices: Alternative Statistics And Some Empirical Results. , 1980, Multivariate behavioral research.
[30] D. Jackson,et al. Component Analysis versus Common Factor Analysis: Some Further Observations. , 1990, Multivariate behavioral research.
[31] D. Armor. Theta Reliability and Factor Scaling , 1973 .
[32] R. Cattell. The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.
[33] Pedro M. Valero-Mora,et al. Determining the Number of Factors to Retain in EFA: An easy-to-use computer program for carrying out Parallel Analysis , 2007 .
[34] W. Velicer,et al. Comparison of five rules for determining the number of components to retain. , 1986 .
[35] Robert J. Mislevy,et al. Recent Developments in the Factor Analysis of Categorical Variables , 1986 .
[36] M. Bartlett. THE EFFECT OF STANDARDIZATION ON A χ2 APPROXIMATION IN FACTOR ANALYSIS , 1951 .
[37] W. Gilley,et al. Factor Analysis and Ordinal Data , 1993 .
[38] Wayne F. Velicer,et al. Construct Explication through Factor or Component Analysis: A Review and Evaluation of Alternative Procedures for Determining the Number of Factors or Components , 2000 .
[39] G. A. Ferguson,et al. A general rotation criterion and its use in orthogonal rotation , 1970 .
[40] Louis W. Glorfeld. An Improvement on Horn's Parallel Analysis Methodology for Selecting the Correct Number of Factors to Retain , 1995 .
[41] H. Kiers. Simplimax: Oblique rotation to an optimal target with simple structure , 1994 .
[42] W Revelle,et al. Very Simple Structure: An Alternative Procedure For Estimating The Optimal Number Of Interpretable Factors. , 1979, Multivariate behavioral research.
[43] Fritz Drasgow,et al. Polychoric and Polyserial Correlations , 2006 .
[44] C. Lance,et al. The Sources of Four Commonly Reported Cutoff Criteria , 2006 .
[45] S S Stevens,et al. On the Theory of Scales of Measurement. , 1946, Science.