Transcription of Linear Regression Analysis for Survey Data
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Linear Regression Analysis for Survey Data
Linear Regression Analysis for Survey Data Professor Ron Fricker Naval Postgraduate School Monterey, California 1. Goals for this Lecture Linear Regression How to think about it for Lickert scale dependent variables Coding nominal independent variables Linear Regression for complex surveys Weighting Regression in JMP. 2. Regression in Surveys Useful for modeling responses to Survey questions as function of (external). sample data and/or other Survey data Sometimes easier/more efficient then high- dimensional multi-way tables Useful for summarizing how changes in the Xs affect Y. 3. (Simple) Linear Model General expression for a Linear model yi = 0 + 1 xi + i 0 and 1 are model parameters is the error or noise term Error terms often assumed independent observations from a N (0, ) distribution 2.
Regression with Categorical Independent Variables • How to put “male” and “female” categories in a regression equation? – Code them as indicator (dummy) variables • Two ways of making dummy variables: – Male = 1, female = 0 • Default in many programs – Male = 1, female = -1 • Default in JMP for nominal variables 12
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Introduction, Variables, Categorical variables, Relationships between, Visualization, Between, Relationships, Chapter, Chapter 2 Introduction, Data Mining, Categorical, Attribute, PROC FREQ, Chapter 305 Multiple Regression, Categorical Variables Categorical variables, PICOT, Problem Statement, Research Question, Introduction to measurement and statistics, Chapter 2