Research, Measurement and Statistics - Ph.D.

Program Overview

Kent State University's Research, Measurement and Statistics Ph.D. program prepares professionals with advanced quantitative and methodological skills for research leadership roles. The program aims to develop expertise in research design, measurement, evaluation, and teaching these methodologies at the college level. Graduates are prepared for careers in academia, government, or industry as Education Teachers, Management Analysts, Social Scientists, or Statisticians.

Program Outline

Degree Overview:

The Ph.D. program in Research, Measurement and Statistics (RMS) at Kent State University is designed to equip students with advanced quantitative and methodological skills essential for conducting rigorous research in various fields. The program aims to develop professionals who possess the theoretical knowledge base and application skills to:

• Teach courses at the college level in research design, statistics, measurement, and evaluation.
• Conceptualize, design, and evaluate a wide variety of research methodologies.
• Choose appropriate analyses for questions and designs that have been proposed.
• Communicate effectively with educators and other professionals in the development and application of research and psychometric materials.
• Evaluate programs culminating in written reports.
The program's curriculum encompasses the broad range of expertise required of those who will assume leadership roles in the conduct and teaching of research, measurement, statistics, and evaluation.

Careers:

The program prepares graduates for impactful careers in academia, government, or industry. Examples of possible career paths include:

• Education teachers, postsecondary
• Management analysts
• Social scientists and related workers, all other
• Statisticians

Other:

• The program is delivered in person on the Kent Campus.
• The program requires a minimum GPA of 3.000 for both the major and overall.
• Students plan their program of study with their respective faculty advisory committee, headed by their advisor.
• Graduates of the program will be able to:
• Demonstrate knowledge of descriptive and inferential statistics at a conceptual and application level.
• Demonstrate knowledge of research design and methods by selecting and executing the appropriate research design and methods for a variety of applications.
• Demonstrate knowledge of measurement, including the methods to develop valid and reliable measures of constructs.
• Demonstrate knowledge of contemporary and classic theories in program evaluation, the purposes and logic of program evaluation, and the processes of different types of program evaluation.