Quantitative Psychology Graduate Degree Programs

Quantitative psychology graduate programs can focus on analyzing statistical data and creating mathematical models as a way to advance psychological research and methods of treatment. Continue reading to find out more about common courses and entrance requirements Schools offering Addiction Psychology degrees can also be found in these popular choices.

Quantitative Psychology Graduate Programs: An Overview

Graduate-level quantitative psychology programs are typically doctoral in nature and provide training that is heavily oriented towards statistics, analysis of contemporary psychological research, and lab work. Students will be required to complete anywhere from 50 to 85 credit hours, depending on the nature and focus of the program.

Longitudinal Modeling

A course in longitudinal modeling will provide students with an overview of the various methods used to observe statistical changes. Learners can often be presented with topics such as latent change scores, latent difference scores and the individual differences modeling of both, plus growth mixture modeling. Typically the class will be formatted to the various psychological specializations of students.

Multivariate Analysis

Quantitative psychology graduate programs typically feature a course in multivariate analysis. This is a highly concentrated class focussing on the type of data analysis that examines multiple statistical outcomes. Methods considered can include linear transformations, considerations of variance through multivariate analysis, multivariate multiple regression, the methodology used in clustering and classification, and factor analysis among others. A multivariate analysis course will usually consist of classes and laboratory sessions that will allow students to apply the learned methods to their specific psychological field of study.

Categorical Data Analysis

In a categorical data analysis class, students in a quantitative psychology graduate program will usually be required to take their knowledge of multivariate analysis and apply it to a type of data known as count data. These courses can be specifically aimed at the behavioral and social sciences. Topics could cover homogeneity and symmetry, and classes are often heavy on lectures with lab time that includes the learning of computer applications used in the process of analysis.

Structural Equation Modeling

Quantitative psychology graduate students will often be required to take a class in structural equation modeling. These classes explore the statistical models which infer variables from observed statistical variables. Usually, the course will consist of classroom lectures combined with lab time that gives students hands-on experience with modeling computer applications. There is a multitude of themes that can be explored in structural equation modeling classes including covariance structures analysis, mean structures analysis, confirmatory factor analysis, and the many variants of these methods of analysis.

Computational Statistics

A quantitative psychology graduate program relies heavily on the use of computer programs to assist in statistical analysis as well as the creation of the models used for that analysis. Because of this necessity, graduate students will often find a computational statistics course as part of their program's curriculum. Learners might encounter such concepts as simulations and modeling and stimulus presentation along with different forms of statistical analysis.

Test Theory and Analysis

Quantitative psychology graduate programs could feature a course that examines the breadth of knowledge related to how measurements are obtained in psychology. Often, these classes will be heavily weighted towards lectures with lab time for hands-on experience. Topics presented might include ways to construct and administer tests in the psychological realm, assessment of testing instruments for reliability, and best practices in creating, administering, and validating tests.

Social Psychology

In a social psychology course, students will examine the way social interaction shapes and influences the behavior of individuals and groups. For those pursuing a quantitative psychology graduate degree, these classes will look at interpersonal relationships, how emotion is formed and influenced, personality, social cognition, and many other topics. They will also often be called upon to demonstrate how they would apply their gained knowledge of the various theories and contemporary research to clinical settings as well as organizations and institutes of education.

Quantitative Psychology Graduate Programs Admission Requirements

Admission to a quantitative psychology graduate program typically requires prospective students to submit their transcripts from an accredited university. They should have completed at least a bachelor's degree with no less than a 3.0 GPA. A psychology degree is not necessary however, programs usually require something related to psychology or past coursework that is heavily weighted towards statistics and research. A candidate for admission will often need to also provide three letters of recommendation, usually attesting to their academic competence, a personal statement of purpose, and GRE test scores.

Quantitative psychology graduate programs provide students with a strong foundation of courses that lean heavily on the creation and analysis of statistics to go along with the presentation of contemporary psychological research and theory. Usually, these programs are doctoral in nature and require some previous knowledge of statistics as well as computer programs.

To continue researching, browse degree options below for course curriculum, prerequisites and financial aid information. Or, learn more about the subject by reading the related articles below:

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