Dissertation Statistics Resource Library
Self-Help Articles for Dissertation & Thesis Students

Dissertation & Thesis Statistics Help: Beginning Issues In this article, we review why it is imperative to choose the most appropriate statistical tests to analyze your dissertation or thesis data. The mechanics of generating output from statistical tests are easy, but obtaining meaningful results relies on a thorough understanding of your research design.	Dissertation Tips & Thesis Writing Suggestions In this article, an overview of the dissertation process and research is provided with particular attention to where individuals have been waylaid in the process. A few basic but important tips that will help you stay clear of obstacles or help you get back on track are discussed.
How to Choose the Correct Dissertation & Thesis Statistics In this article, we discuss some of the key questions and issues that will help you select the proper statistical tests for your dissertation or thesis. You also will learn how to best match your data with the appropriate statistical test when testing your hypotheses.	How to Correctly Collect Dissertation & Thesis Data In this article, we provide tips on how to collect relevant data that adds to the body of knowledge of your disseration or thesis. Through studies, surveys, statistics, and demographical data, we show you how to collect simple, yet important data.

Specific Statistical Tests Resource Library
Statistics Articles for Dissertation & Thesis Students

T-Test The t-test is a parametric statistic and perhaps one of the simplest analyses used in dissertation and thesis research. We can help you determine the appropriate sample and t-test for your analysis.	click here to enlarge
Chi-Square A chi-square analysis determines whether your "observed" frequencies are sufficiently different from the "expected" frequencies to say that these two variables are, in fact, related.
Multiple Regression There are several types of regression analysis -- simple multiple, hierarchical, & stepwise. We can help you choose the right one for the variables in your research.
Logistic Regression Logistic regression is a statistic that allows group membership to be predicted from predictor variables, regardless of whether the predictor variables are continuous, discrete, or a combination of both.	Structural Equation Modeling & Path Analysis Structural equation modeling (SEM) in dissertation and thesis research combines factor analysis, multiple regression, and canonical correlation.
Analysis of Variance: ANOVA & MANOVA In dissertation or thesis research, an analysis of variance (ANOVA) is an inferential statistic used to analyze data from an experiment that has either multiple factors or more than two levels of the independent variable.	Canonical Correlation A canonical correlation is used when there are multiple continuous dependent and independent variables and the goal of your dissertation or thesis is to assess the relationship between these two sets of variables.
Factor Analysis Factor analysis is the statistic used to determine if any of the independent variables comprise common underlying dimensions called "factors."	Discriminant Function Analysis As the name implies, discriminant function analysis is used in research that wants to predict group membership from several independent variables.

Recommended Reading Lists: Statistics & Data Analysis
References for Dissertation & Thesis Students