Principle Component Analysis
The importance of the researcher’s interpretation of factor analysis is illustrated by means of an example. The results from this example appear to be meaningful and easily interpreted. The example omits any measure of reliability or validity. If a measure of reliability had been included, it would have indicated the worthlessness of the results. A construct of 96 subjects and an equivalent of 45 total score recent papers from positive 4 to negative 4 supported the claim that the example is typical, two-thirds of the papers provide no measure of reliability. In fact, some papers did not even provide sufficient information to allow for replication. To improve the current situation some measure of factor reliability should accompany applied studies that utilize factor analysis. Three operational approaches are suggested for obtaining measures of factor reliability: use of split samples, Monte Carlo simulation, and Miller chunking.
Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42, 116–131.
Cacioppo, J. T., & Petty, R. E. (1984). The need for cognition: Relationships to attitudinal processes. In R. P. McGlynn, J. E. Maddux, C. Stoltenberg, & J. H. Harvey (Eds.), Social perception in clinical and counseling psychology. Lubbock, Texas Tech University Press.
Cacioppo, J. T., Petty, R. E., Feinstein, J, A., & Jarvis, W. B. G. (1996). Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition. Psychological Bulletin, 119, 197–253.
Cacioppo, J. T., Petty, R. E., & Kao, C. F. (1984). The efficient assessment of need for cognition. Journal of Personality Assessment, 48, 306–307.
Coutinho, S. A., Woolery, L. M. (2004). The need for