Post-Master’s Certificate in Quantitative Research
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Overview
The Post-Master’s Certificate in Quantitative Research places an emphasis on acquiring the skills necessary not only to complete statistical calculations but to know how and when to apply and use appropriate statistical designs and methods. This is an 18 credit-hour certificate that will offer students from various disciplines the knowledge and skills to conduct quantitative research needed to measure or evaluate educational programs, learning or school outcomes, or other statistically based inquiries. The course sequence required for this certificate includes foundational level statistics courses, and advanced courses in design, methods, theory, and practice.
Admission Requirements
A conferred master’s level or higher degree from a regionally or nationally accredited academic institution.
Courses
For the Post-Master’s Certificate in Leadership focused on Quantitative Research, you must complete 6 courses (18 credit hours). The estimated time needed to complete this certificate is 13 months.
Course Details
Course Listings
In this introductory research course, you will explore the underpinnings of the research process, examine research paradigms, and investigate theoretical and practical foundations of qualitative and quantitative research methodologies used within educational research. You will identify criteria for the development of a quality research study that is ethical, accurate, comprehensive, cohesive, and aligned. Specific course topics will involve the ethics of conducting research; data collection and analysis techniques; and issues of feasibility, trustworthiness, validity, reliability, generalizability or transferability, and rigor. This course is intended to familiarize you with concepts and skills associated with conducting theoretical and applied research.
This course offers foundational knowledge to become a critical consumer of statistical-based research literature. The emphasis will be on understanding non-inferential and inferential statistical concepts, the conventions of quantitative data analysis, interpretation, and inferences from statistical results. Statistical computations will be completed using statistical software applications for quantitative data analysis. The course culminates in a synthesis project to demonstrate statistical skills and aligned with APA guidelines for presentation of statistical results.
You will learn advanced statistical principles and how to apply them to quantitative research. You will be provided an overview of advanced statistical concepts used in empirical research, including inferential analyses. Advanced computations will be performed using SPSS. The focus involves helping you build independent scholarly skills with an emphasis on understanding multivariate data; the use, comprehension, and evaluation of sophisticated statistical concepts; and presentation of statistical results.
This course explores the quantitative research methodology and associated designs and methods. You will examine paradigmatic perspectives along with the tenets and conventions of quantitative research. This examination of designs and methods will include topics such as feasibility, validity, reliability, variable operationalization, inferential designs, and analytic software applications used within the quantitative research paradigm. You will also explore the components of aligned and coherent quantitative research designs that support meaningful research within the field of education.
Prerequisites: EDR-8201, EDR-8202, EDR-8300, EDR-8500
In this advanced statistics course, you will be introduced to multilevel modeling. You will examine the six types of multilevel data as collected in education and engage with common types of multilevel modeling. You will also investigate statistical theory of multilevel modeling as applied in education and cultivate knowledge of statistical concepts underlying methods of multilevel modeling. Finally, you will discern between myth and important rules and techniques of multilevel modeling in research in making decisions related to the use of multi level modeling and utilize multilevel modeling analyses to draw meaningful conclusions from the results.
Prerequisites: EDR-8201, EDR-8202, EDR-8300, EDR-8500
In this course, you will examine the concepts related to psychometrics. You will identify concepts related to the development of an instrument (i.e., concept identification, standardized instruments), and critique published studies for reliability and validity, and quality of instrument development. Then, you will engage in item construction and conduct reliability and validity testing. Finally, you will examine confirmatory factor analysis (CFA) and exploratory factor analysis (EFA).
The Western Association of Schools and Colleges (WASC) accredits public and private schools, colleges, and universities in the U.S.
Learning Outcomes
If you’ve earned your Master of Education degree, then our post-master’s certificate may move you past the head of the class. NU’s Post-Master’s Certificate in Quantitative Research is designed to help you focus and develop your skill sets and knowledge in a particular area of education beyond the master’s level, without the need for a doctoral commitment or dissertation. You’ll not only enhance your understanding of major theories and practices in your specialty, but you’ll be challenged to think critically about the topics covered with the goal of applying what you learn to your professional objectives—all while gaining a wealth of experience from your mentoring professors.
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Program Disclosure
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