# Research Methods

Research methodology is often the most challenging step for graduate students preparing their dissertations. I’ll help you decide on the best methods of statistical analysis and methodology for your dissertation topic. My experience can keep you from getting bogged down and losing valuable time.

As a quick guide I’ll help you select methods that:

- Clearly State the research questions and hypotheses
- Present the research design
- Discuss the participants
- Describe the instruments to be used, strengths, weaknesses, and psychometric properties
- Describe procedure and reason for selection
- Outline the data analysis plan
- Provide sample size justification.

#### Cluster Analysis

Cluster analysis is a set of techniques designed to answer the question “How do my subject cluster together on the variables that I have?” This is a question that is often interesting, but… [Read More]

#### Logistic Regression

In dichotomous logistic regression, the goal is the same as in linear regression (link): we wish to model a dependent variable (DV) in terms of one or more independent variables… [Read More]

#### Factor Analysis

Factor analysis is a set of techniques designed to find latent variables in sets of data. A latent variable is one that cannot be directly measured. For example, height is not latent, because… [Read More]

#### Graphical Procedures

Graphical Procedures are an essential part of statistical analysis. But graphs are often poorly done, and there are some lesser known graphical methods that can be highly effective for… [Read More]

#### Linear regression

Linear Regression refers to the **type of regression** where we have a continuous or nearly continuous dependent variable. It is sometimes divided into… Linear Regression[Read More]

#### Multiple Linear Regression Controls

How multiple linear regression controls for the effects of other variables.

One interesting feature of multiple linear regression is… [Read More]

#### Multi-Level Models

Multi-Level Models – In most regression techniques we assume that the data are independent. Often, this is reasonable. For example, if I collect data on the heights, weights, and… [Read More]

#### Multinomial Logistic Regression

Multinomial Logistic Regression is a type of logistic regression that deals with dependent variables that are nominal – that is, there are multiple response levels and they have no specific order… [Read More]

#### Ordinal Logistic Regression

Ordinal Logistic Regression is a type of logistic regression (link) that deals with dependent variables that are ordinal – that is, there are multiple response levels and they have a specific… [Read More]

#### Principal Component Analysis

Principal Component Analysis is a technique for reducing the dimensions of a set of data. Unlike **factor analysis** it is not designed to uncover latent traits, but simply to reduce the number of variables… [Read More]

#### Quantile Regression

Quantile Regression In ordinary regression, we are interested in modeling the mean of a continuous dependent variable as a linear function of one or more independent variables. This is often what we do… [Read More]

#### Survival Analysis

Survival Analysis gets its name from the fact that it is often used to look at how long people will live, and to see what influences that. Do women live longer than men? Do people who take aspirin live… [Read More]