SOC 2805 Lecture 14: QUANTITATIVE DATA ANALYSIS
Document Summary
Quantitative data analysis: fun for the whole family . Processing data: raw data cleaning , consider how you"ve coded variables, create a codebook, pretest to ensure it is accurate, code the data (to input, verifying the data. Developing a frame of analysis: what variables are you going to analyze, what type of analysis, frequency tables, cross-tabulations, reconstruct main concepts, statistical measures. Quantitative analysis: descriptive, describes the variables in the sample only. Inferential: infers from the sample to the population, must be random. Descriptive statistics: univariate, looks at distribution of one variable, bivariate, looks at relationship between two variables, multivariate, looks at relationship among several variables. Frequency distributions: how many respondents per value, how many said strongly agree etc, always the first starting place in analysis! Mean: use with ratio level data, assumes normal distribution , one really high or low number will skew the mean. Median: the exact mid-point, where 50% are above and 50% are below.
