PSY 3392 Lecture 7: Chapter 11 notes
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Four steps of data analysis: prepare the data for analysis, summarize the data, put your hypothesis to the test, interpret data, prepare the data for analysis. Data cleaning: check for errors in data recording or: outliers: extreme number in an array that doesn"t go with the main body of data, duplicate cases: multiple recordings of same individual. Calculating scores: reverse scoring: flipping the answers (5 1, compute scores (total, mean, mode, sd, compute possible variables (ses) Look for ways to describe the distribution of scores meaningfully. Percentages indicate the number of scores that fall within that part of distribution. Visualize general features of a data set and detect outliers by using leading digits as the stem and trailing digits as the leaves. Leading number and * indicates the first half of the interval (0-4) allows us to identify every data point and reveals the shape of distribution. 34 (data set 23, 32, 33, 36, 37, 38, 43, 44)
