Research, Measurement and Statistics - Ph.D.

Program Overview

Research, Measurement and Statistics - Ph.D.

Overview

The Ph.D. degree in Research, Measurement and Statistics develops professionals who have 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; and evaluate programs culminating in written reports.

Admissions

• Master's degree from an accredited college or university
• Minimum 3.500 GPA on a 4.000-point scale
• Official transcript(s)
• Résumé or curriculum vitae
• Goal statement
• Two letters of recommendation
• English language proficiency - all international students must provide proof of English language proficiency (unless they meet specific exceptions to waive) by earning one of the following:
  • Minimum 79 TOEFL iBT score
  • Minimum 6.5 IELTS score
  • Minimum 58 PTE score
  • Minimum 110 DET score

Coursework

• Major Requirements:
  • RMS 75510: STATISTICS I FOR EDUCATIONAL SERVICES (3)
  • RMS 78710: INTRODUCTION TO MEASUREMENT (3)
  • or RMS 78715: SURVEY DESIGN AND APPLIED RESEARCH IN EDUCATION
  • RMS 78711: MODERN TEST THEORY: ITEM RESPONSE THEORY (3)
  • RMS 78713: MULTIVARIATE ANALYSIS IN EDUCATIONAL RESEARCH (3)
  • RMS 78714: FACTOR ANALYSIS IN EDUCATIONAL RESEARCH (3)
  • RMS 78716: STATISTICS II: ANOVA AND NONPARAMETRIC TESTS (3)
  • RMS 78728: MULTIPLE REGRESSION (3)
  • RMS 78735: STRUCTURAL EQUATION MODELING (3)
  • RMS 78745: HIERARCHICAL LINEAR MODELING (3)
  • RMS 78807: PROGRAM EVALUATION (3)
  • RMS 85515: QUANTITATIVE RESEARCH DESIGN AND ANALYSIS (3)
  • RMS 85516: QUALITATIVE RESEARCH DESIGN (3)
  • RMS 85518: ADVANCED QUALITATIVE RESEARCH IN EDUCATIONAL SERVICES (3)
  • or RMS 85520: MIXED METHODS RESEARCH
  • RMS 88791: SEMINAR: EVALUATION AND MEASUREMENT (3)
• Electives, as approved by program advisor (9)
• Culminating Requirement:
  • RMS 80199: DISSERTATION I (30)

Learning Outcomes

Graduates of this program will be able to:

1. Demonstrate knowledge of descriptive and inferential statistics at a conceptual and application level.
2. Demonstrate knowledge of research design and methods by selecting and executing the appropriate research design and methods for a variety of applications.
3. Demonstrate knowledge of measurement, including the methods to develop valid and reliable measures of constructs.
4. 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.

Graduation Requirements

• Minimum Major GPA: 3.000
• Minimum Overall GPA: 3.000

Why Kent State University

The Ph.D. degree in Research, Measurement and Statistics develops professionals who have the theoretical knowledge base and application skills to teach courses at the college level in research design, statistics, measurement and evaluation. Course offerings encompass the broad range of expertise required of those who will assume leadership roles in the conduct and teaching of research, measurement, statistics and evaluation.

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.