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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.

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

All application materials (including applicable fee, transcripts, recommendation letters, etc.) submitted by this deadline will receive the strongest consideration for admission.

Program Learning Outcomes

Graduates of this program will be able to:

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

• Delivery:
  • In person
• Location:
  • Kent Campus