Consider the case where an experimental variable along with a "participant variable" are used in a study. That is, levels of one variable are manipulated by the experimenter and levels of another variable are based on some inherent participant attribute (i.e. IQ, hair color, race, gender, etc.). Let's consider one of three situations: 1) the number of participants per cell varies in proportion to the respective populations 2) the experimenter uses quota sampling to ensure equal cell sample sizes 3) when applicable, cut scores are chosen in order to produce equal cell-sizes.
Such situations are common in the behavioral sciences. Furthermore, ANOVA is commonly used to analyze data collected using such paradigms. So here are three questions: 1. From an analysis point of view, what problems in data analysis are likely to arise? 2. IF these problems are not addressed, what are the implications? 3. What is the proper way to analyze such data? Thanks Steve Hall- Orlando, FL . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
