On Wed, 10 Mar 2004 15:46:31 -0500, "Steve" <[EMAIL PROTECTED]> wrote:
> 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: If you don't get an answer, it is probably (it seems to me) because this reads entirely as if you are passing along to us your homework assignment. Unless a question is controversial or difficult, the folks who answer tend to find 'homework' boring. Then there's the moral problem. > > 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? If you lay out *your* answers, someone might offer observations that hint at other things. -- Rich Ulrich, [EMAIL PROTECTED] http://www.pitt.edu/~wpilib/index.html - I need a new job, after March 31. Openings? - . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
