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Research, Measurement and Statistics - Ph.D.

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.

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About This Program

The Ph.D. program seeks to develop specialists who have the theoretical knowledge base and application skills for a number of different professional opportunities.

In addition, our doctoral students gain the expertise to teach courses at the college level, provide leadership in the conduct of research studies, and serve as consultants in research methodology and data analysis in education, industry, and government.

Program Information for Research, Measurement and Statistics - Ph.D.

Program Description

Full Description

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.

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.

Admissions for Research, Measurement and Statistics - Ph.D.

For more information about graduate admissions, visit the graduate admission website. For more information on international admissions, visit the international admission website.

Admission Requirements

  • 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:1
    • Minimum 79 TOEFL iBT score
    • Minimum 6.5 IELTS score
    • Minimum 58 PTE score
    • Minimum 110 DET score
1

International applicants who do not meet the above test scores may be considered for conditional admission.

Application Deadlines

  • Fall Semester
    • Priority deadline: March 15
  • Spring Semester
    • Priority deadline: October 15
  • Summer Term
    • Priority deadline: March 15

Applications submitted by this deadline will receive the strongest consideration for admission.

Learning Outcomes

Program 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.
Coursework

Program Requirements

Major Requirements
RMS 75510STATISTICS I FOR EDUCATIONAL SERVICES 3
RMS 78710INTRODUCTION TO MEASUREMENT 3
or RMS 78715 SURVEY DESIGN AND APPLIED RESEARCH IN EDUCATION
RMS 78711MODERN TEST THEORY: ITEM RESPONSE THEORY 3
RMS 78713MULTIVARIATE ANALYSIS IN EDUCATIONAL RESEARCH 3
RMS 78714FACTOR ANALYSIS IN EDUCATIONAL RESEARCH 3
RMS 78716STATISTICS II: ANOVA AND NONPARAMETRIC TESTS 3
RMS 78728MULTIPLE REGRESSION 3
RMS 78735STRUCTURAL EQUATION MODELING 3
RMS 78745HIERARCHICAL LINEAR MODELING 3
RMS 78807PROGRAM EVALUATION 3
RMS 85515QUANTITATIVE RESEARCH DESIGN AND ANALYSIS 3
RMS 85516QUALITATIVE RESEARCH DESIGN 3
RMS 85518ADVANCED QUALITATIVE RESEARCH IN EDUCATIONAL SERVICES 3
or RMS 85520 MIXED METHODS RESEARCH
RMS 88791SEMINAR: EVALUATION AND MEASUREMENT 3
Electives, as approved by program advisor9
Culminating Requirement
RMS 80199DISSERTATION I 130
Minimum Total Credit Hours:81
1

Upon admission to candidacy. each doctoral candidate must register for RMS 80199. It is expected that a doctoral candidate will continuously register for Dissertation I for a total of 30 credit hours, and thereafter RMS 80299, each semester until all requirements for the degree have been met.

Graduation Requirements

Minimum Major GPA Minimum Overall GPA
- 3.000

After admission to the Ph.D. degree program, students plan a program of study with their respective faculty advisory committee headed by their advisor.

Program Delivery
  • Delivery:
    • In person
  • Location:
    • Kent Campus
Plan of Study

View the Ph.D. .

Examples of Possible Careers and Salaries for Research, Measurement and Statistics - Ph.D.

Those who complete the Ph.D. in Research, Measurement and Statistics at 5X社区 can benefit from specialized career opportunities in research, measurement and statistics.

Education teachers, postsecondary

4.8%

about as fast as the average

77,300

number of jobs

$65,440

potential earnings

Management analysts

10.7%

much faster than the average

876,300

number of jobs

$87,660

potential earnings

Social scientists and related workers, all other

0.8%

little or no change

38,800

number of jobs

$87,260

potential earnings

Statisticians

34.6%

much faster than the average

42,700

number of jobs

$92,270

potential earnings

Notice: Career Information Source
* Source of occupation titles and labor data comes from the U.S. Bureau of Labor Statistics' . Data comprises projected percent change in employment over the next 10 years; nation-wide employment numbers; and the yearly median wage at which half of the workers in the occupation earned more than that amount and half earned less.

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