A note on the relationship between the number of indicators and their reliability in detecting regression coefficients in latent regression analysis

Structural Equation Modeling

Volumn 11, Issue 2, 2004, Pages 210-216

  Dolan, Conor V ^a   Wicherts, Jelte M ^a   Molenaar, Peter C M ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBABILITY; RELIABILITY;

OMNIBUS NULL HYPOTHESIS; POWER CALCULATION; REGRESSION COEFFICIENTS;

REGRESSION ANALYSIS;

EID: 2642533653     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15328007sem1102_4     Document Type: Article

References (7)

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2. Harville, D. A. (1997). Matrix algebra from a statistician's perspective. New York: Springer.
3. Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International.
4. Lawley, D. N., & Maxwell, A. E. (1971). Factor analysis as a statistical method. London: Butterworth.
5. Saris, W. E., de Pijper, M., & Mulder, J. (1978). Optimal procedures for the estimation of factor scores. Sociological Methods and Research, 7, 85-106.
6. Saris, W. E., & Satorra, A. (1993). Power evaluations in structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 181-204). Newbury Park, CA: Sage.
7. Schott, J. R. (1997). Matrix analysis for statistics. New York: Wiley.