Two-way ANOVA
Introduction
The two-way ANOVA compares the mean differences between groups that have been split on two
independent variables (called factors). The primary purpose of a two-way ANOVA is to
understand if there is an interaction between the tw
Conduct and Interpret a Cluster
Analysis
What is the Cluster Analysis?
The Cluster Analysis is an explorative analysis that
tries to identify structures within the data. Cluster
analysis is also called segmentation analysis or
taxonomy analysis. More spec
Repeated Measures ANOVA
Introduction
Repeated measures ANOVA is the equivalent of the one-way ANOVA, but for related, not independent groups, and is the
extension of thedependent t-test. A repeated measures ANOVA is also referred to as a within-subjects A
Chi-Square Goodness-of-Fit Test
Introduction
The chi-square goodness-of-fit test is a single-sample nonparametric test, also referred to as the one-sample goodness-offit test or Pearson's chi-square goodness-of-fit test. It is used to determine whether th
ANCOVA
Introduction
The ANCOVA (analysis of covariance) can be thought of as an extension of the one-way ANOVA to incorporate a
"covariate". Like the one-way ANOVA, the ANCOVA is used to determine whether there are any significant differences
between the
Chi-Square Test for Association
Introduction
The chi-square test for independence, also called Pearson's chi-square test or the chi-square test of association, is used to
discover if there is a relationship between two categorical variables.
Assumptions
o
Dependent T-Test
Introduction
The dependent t-test (called the paired-samples t-test in SPSS Statistics) compares the
means between two related groups on the same continuous, dependent variable. For
example, you could use a dependent t-test to understand
Partial Correlation
Introduction
Partial correlation is a measure of the strength and direction of a linear relationship between two continuous variables
whilst controlling for the effect of one or more other continuous variables (also known as 'covariate
Discriminant Analysis
This page shows an example of a discriminant analysis in SPSS with footnotes explaining the output. The data
used in this example are from a data file,discrim.sav, with 244 observations on four variables. The variables
include three
Correlation and Regression
True/False Questions
1. The product moment correlation, r, is an index used to determine whether a linear, or straight-line,
relationship exists between X and Y. It indicates the degree to which the variation in one variable, X,
Pearson Product-Moment Correlation
What does this test do?
The Pearson product-moment correlation coefficient (or Pearson correlation coefficient, for short) is a measure of the
strength of a linear association between two variables and is denoted by r. B
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