PPT-SW388R7

Author : aaron | Published Date : 2017-12-25

Data Analysis amp Computers II Slide 1 Assumption of normality Assumption of normality Transformations Assumption of normality script Practice problems SW388R7

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SW388R7: Transcript

Data Analysis amp Computers II Slide 1 Assumption of normality Assumption of normality Transformations Assumption of normality script Practice problems SW388R7 Data Analysis amp Computers II. Data Analysis & Computers II. Slide . 1. Computing Transformations. Transforming variables. Transformations for normality. Transformations for linearity. SW388R7. Data Analysis & Computers II. Data Analysis & Computers II. Slide . 1. Assumption of linearity. Assumption of linearity. Strategy for solving problems. Producing outputs for evaluating linearity. Assumption of linearity script. Data Analysis & Computers II. Slide . 1. Multiple Regression – Basic Relationships. Purpose of multiple regression. Different types of multiple regression. Standard multiple regression. Hierarchical multiple regression. Data Analysis & Computers II. Slide . 1. Assumption of Homoscedasticity. Homoscedasticity. (also referred to as homogeneity of variance). (also referred to as uniformity of variance). Transformations. Data Analysis & Computers II. Slide . 1. Principal Component Analysis: Additional Topics . Split Sample Validation. Detecting Outliers. Reliability of Summated Scales. Sample Problems. SW388R7. Data Analysis & Computers II. Data Analysis & Computers II. Slide . 1. Detecting Outliers. Detecting univariate outliers. Detecting multivariate outliers. SW388R7. Data Analysis & Computers II. Slide . 2. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.. Data Analysis & Computers II. Slide . 1. Analyzing Missing Data. Introduction. Problems. Using Scripts. SW388R7. Data Analysis & Computers II. Slide . 2. Missing data and data analysis. Missing data is a problem in multivariate data because a case will be excluded from the analysis if it is missing data for any variable included in the analysis..

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