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EDU921Education Unitsadvanced

Advance Educational Research Methods

This course is designed for Ph.D. students in Education, building upon prior knowledge of Educational Research Methods. It covers the nature of educational research, its types, procedures, research questions, hypotheses, information sourcing, and research designs. Topics include literature reviews, sampling, instrumentation, and data processing techniques. The course equips students to understand, apply, and conduct quality educational research, requiring dedication and computer literacy.

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160h

Study Time

13

Weeks

12h

Per Week

intermediate

Math Level

Course Keywords

Educational Research MethodsResearch DesignData AnalysisInstrumentationSampling Techniques

Course Overview

Everything you need to know about this course

Course Difficulty

Advanced Level

For experienced practitioners

90%

advanced

📊

Math Level

Moderate Math

📖

Learning Type

Theoretical Focus

Course Topics

Key areas covered in this course

1

Nature of Educational Research

2

Classifications of Educational Research

3

Basic Types of Educational Research

4

Designs of Research

5

Time Series and Trend Studies

6

Meta-Analysis

7

Instrumentation

8

Data Processing Techniques

Total Topics8 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Educational Researcher

Apply your skills in this growing field

Policy Analyst

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Curriculum Developer

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Assessment Specialist

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University Lecturer

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

Education SectorGovernment AgenciesResearch InstitutionsNon-profit Organizations

Study Schedule Beta

A structured 13-week journey through the course content

Week

1

Module 1: Nature, Classifications and Information Sources of Educational Research

4h

Unit 1: Definitions, Purposes, and Procedures of Educational Research

2 study hours

•Define educational research and differentiate it from non-scientific research.
•Discuss the purposes and importance of educational research.
•Outline the basic procedures for conducting educational research, including problem selection and literature review.

Unit 2: Classifications of Educational Research

2 study hours

•Explain the concept of classification in research.
•Distinguish between basic and applied research, quantitative and qualitative research, and theoretical and action research.
•Discuss the interrelationships between different classifications of educational research.

Week

2

Module 1: Nature, Classifications and Information Sources of Educational Research

3h

Unit 3: Sources of Educational Information

3 study hours

•Identify primary and secondary sources of information for educational research.
•Utilize traditional library resources to obtain data for educational research.
•Use computer-based resources to source educational information effectively.

Week

3

Module 2: Basic Types of Educational Research

2h

Unit 1: Humanistic Research

2 study hours

•Identify the various types of humanistic research.
•Describe historical research, including its methodologies and potential problems like 'presentism'.
•Evaluate the role and limitations of historical data in educational research.

Week

4

Module 2: Basic Types of Educational Research

2h

Unit 2: Survey Research

2 study hours

•Define survey research and its applications in educational settings.
•Discuss the factors to consider when designing a valid questionnaire.
•Examine different sampling methods used in data collection for surveys.

Week

5

Module 2: Basic Types of Educational Research

2h

Unit 3: Correlation Research

2 study hours

•State what correlation is and provide examples of correlational research studies.
•Analyze and interpret results from correlational studies.
•Explain why 'correlation does not imply causation' and the limitations of correlational research.

Week

6

Module 3: Designs of Research Ι

2h

Unit 1: Causal-Comparative Research

2 study hours

•Describe causal-comparative research and provide examples.
•Adumbrate the procedures and data analytic methods used in causal-comparative designs.
•Critically comment on the differences between causal-comparative and correlation research.

Week

7

Module 3: Designs of Research Ι

2h

Unit 2: Quasi-Experimental Research

2 study hours

•Define quasi-experimental research and differentiate it from experimental research.
•Differentiate between several types of quasi-experimental designs.
•Explain common characteristics, advantages, and limitations of quasi-experimental research.

Week

8

Module 3: Designs of Research Ι

2h

Unit 3: Experimental Research

2 study hours

•Define experimental research and explain the terms 'causal relationship', 'matching', and 'randomization'.
•State the general procedures involved in conducting experimental research.
•Describe a simple experiment and distinguish between experimental and quasi-experimental research.

Week

9

Module 3: Designs of Research Ι

2h

Unit 4: Factorial Designs

2 study hours

•Define a factorial design and describe the main types.
•Illustrate the use of a factorial design with a concrete example.
•Outline the advantages and limitations of factorial designs in educational research.

Week

10

Module 4: Designs of Research ΙΙ

4h

Unit 1: Repeated Measures Design

2 study hours

•Define, with an example, repeated measures design.
•Identify the types of repeated measures designs.
•Examine the uses, advantages, and limitations of this research design.

Unit 2: Twin Studies

2 study hours

•Define twin studies as it pertains to educational research.
•Outline the methods used in twin studies, both traditional and modern.
•State and evaluate the major assumptions of this research method.

Week

11

Module 4: Designs of Research ΙΙ

4h

Unit 3: Analysis of Variance and Covariance

2 study hours

•Explain what analysis of variance is and state the main assumptions underlying its use.
•List and illustrate three types of analysis of variance.
•Describe the procedures for analyzing data from analysis of variance and distinguish it from analysis of covariance.

Unit 4: Multivariate Studies

2 study hours

•Define multivariate analysis and describe the nature of the variables examined.
•Explain some of the techniques for significance testing in multivariate analysis.
•Express some of the advantages and disadvantages of multivariate analysis.

Week

12

Module 5: Time Series, Trend, and Meta Analysis Studies

4h

Unit 1: Time Series Design

2 study hours

•Define time series design and explain the uses of time series studies.
•State how time-series experiments are carried out.
•Explain why time-series studies cannot establish cause-effect relationships.

Unit 2: Trend Studies

2 study hours

•Define what trend studies are and give some possible examples in Nigeria.
•Explain the methodology used in trend studies.
•Enumerate the benefits and drawbacks of trend studies in educational research.

Week

13

Module 5: Time Series, Trend, and Meta Analysis Studies

3h

Unit 3: Meta-analysis

3 study hours

•Meaningfully define meta-analysis in educational research and enumerate some of its uses.
•Evaluate its common procedures and discuss some of its problems.
•Explain the types of measurement and describe the major processes involved in test construction.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Focus on understanding the core principles of research design, including experimental, quasi-experimental, and non-experimental approaches.

2

Practice applying statistical techniques such as t-tests, ANOVA, and chi-square to analyze sample datasets.

3

Create detailed summaries of each research method, noting their strengths, weaknesses, and appropriate applications.

4

Review and critique published research articles, paying close attention to the methodology and data analysis sections.

5

Develop a strong understanding of measurement theory, including validity, reliability, and different scales of measurement.

6

Practice writing clear and concise research proposals, including well-defined research questions and appropriate methodologies.

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