Analytical issues

Borsboom, D., Mellenbergh, G. J. & Van Heerden, J. (2003). The theoretical status of latent variables. Psychological Review, 110, 203-219.

Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77-101.

Caprara, G.V., Barabaranelli, C., Bermudez, J., Maslach, C., & Ruch, W. (2000). Multivariate methods for the comparison of factor structures in cross-cultural research. Journal of Cross-Cultural Psychology, 31, 437-464.

Glorfeld, L. W. (1995). An improvement on Horn’s parallel analysis methodology for selecting the correct number of factors to retain. Educational and Psychological Measurement, 55, 377-393.

Guadagnoli, E. & Velicer, W. F. (1988). Relationship of sample size to the stability of component patterns. Psychological Bulletin, 103, 265-275.

Guttman, L. (1954). Some necessary conditions for common factor analysis. Psychometrika, 19, 149-162.

Haven, S. & Ten Berge, J. M. F. (1977). Tucker’s coefficient of congruence as a measure of factorial invariance: An empirical study. Heyman Bulletin, No. 290 EX, University of Groningen, the Netherlands.

Hayton, J. C., Allen, D. G. & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organisational Research Methods, 7, 191-205.

Hogarty, K. Y. & Kromrey, J. D. (1999). Poster presented at 24^th International Conference for SAS Users. Retrieved October 27, 2009, from: http://www2.sas.com/proceedings/sugi24/posters/p238-24.pdf

Hogarty, K. Y. & Kromrey, J. D. (2000). Robust effect size estimates and meta-analytic tests of homogeneity. Poster presented at 25^th International Conference for SAS Users. Retrieved October 27, 2009, from: http://www2.sas.com/proceedings/sugi25/25/po/25p217.pdf

Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179-185.

Kline, P. (1994). An easy guide to factor analysis. London: Routledge.

Laher, S.& Botha, A. (2012). Methods of sampling. In C. Wagner, B.Kawulich & M. Garner. Doing social research: A global context (Pp.86-100). London: McGraw-Hill

Laher, S. (2010). Using exploratory factor analysis in personality research: Best practice recommendations. South African Journal of Industrial Psychology, 36, 1-7.

Ledesma, R. D. & Valero-Mora, P. (2007). Determining the number of factors to retain in EFA: An easy-to-use computer program for carrying out parallel analysis. Practical Assessment, Research and Evaluation, 12, 1-11.

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Meehl, P. E. (1992). Factors and taxa, traits and types, differences of degree and differences in kind. Journal of Personality, 60, 117-174.

Mulaik, S. A. (1972). The foundations of factor analysis. New York: McGraw-Hill.

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O’Connor, B. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments and Computers, 32, 396-402.

Rosenthal, R. & Rosnow, R. L. (1991). Essentials of behavior research: Methods and data analyses. New York: McGraw-Hill.

Van de Vijver, F. & Leung, K. (1997). Methods and data analysis for cross cultural research. Newbury Park, CA: SAGE Publications.

Van de Vijver, F. & Tanzer, N. K. (1997). Bias and equivalence in cross-cultural assessment: An overview. European Review of Applied Psychology, 47, 263-280.

Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321-327.

Psychological Assessment in South Africa

Research and applications

Analytical issues

Descriptive statistics

The mean, median and mode

Inferential statistics

Population, sampling and other related concepts

SPSS

Descriptive statistics

The mean, median and mode

Inferential statistics

Population, sampling and other related concepts

SPSS

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