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of your dissertation, you may hypothesize that your variable "A" is related to your variable "B". Cohens effect size measures are well known in research and can be classified as small, medium or large. If you need help determining if the variances of the groups in your study are homogenous you can request help with calculating effect size. M1 - M2 / Ö ( s1 s 2) /. Chi Square allows you to answer important questions with variables measured with nominal or ordinal scales. The magnitude of d, according to Cohen,. For your analysis, a chi-square test of independence would provide you with "expected" frequencies of how often persons in your sample of different ethnicities (variable "A would buy your product (variable "B if those two variables were NOT related.
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A chi-square analysis determines whether your "observed" frequencies are sufficiently different from the "expected" frequencies to say that these two variables are, in fact, related. For example if you know that there are 70 people in each of your groups and that you want to achieve a.50 (medium effect size you can use this information to calculate the critical t-value and statistical power. How to Successfully Deal with Your Dissertation Data by Susan Rovezzi Carroll You can purchase it online at Amazon, Barnes and Noble. These are basic formulas. Statistical Data Analysis procedure for hypothesis testing. Going back to the example data, 36 African-American subjects said they would buy your product (Fo36 but only 20 African-American subjects would be expected to buy your product (Fe20). M1 - M2 / s where s Ö å (X - M) /. And power.95, you can use this information to find your answer. You then divide that by the number of subjects you would expect to buy your product: (Fo-Fe. For anova, the effect size index f is used.
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