Hello, I'm Merle Werbeloff
It's my pleasure to guide you through the Pain Points of a dissertation that often trip students up.
We work through problematic aspects such as crafting the introduction chapter, theoretical and conceptual frameworks, the design of your research, the intricacies of sampling, and measurement.
Relieve Your Dissertation Pain Points
Course Curriculum
Available in
days
days
after you enroll
Available in
days
days
after you enroll
Available in
days
days
after you enroll
- Module 1: A bird's eye view (1:43)
- M1(1) Introduction template, structure and sources (3:20)
- M1(2) A problem vs a research problem (1:16)
- M1(3) Background of the research problem (2:12)
- M1(4) Foreground of the research problem (2:13)
- M1(5) Associated research literature (5:43)
- M1(6) Problem statement & Problem statement template (8:38)
- M1(7) Purpose statement & Purpose statement template (6:06)
- M1(8) The research question & Research question template (8:47)
- M1(9) Scope, Contribution & Layout (2:22)
Available in
days
days
after you enroll
- Module 2: A bird's eye view (1:35)
- M2(1) Bloom’s Taxonomy: Appraisal and synthesis of sources (4:49)
- M2(2) Examples of writing (5:54)
- M2(3) Why theory? (3:58)
- M2(4) Theory: qualitative vs quantitative research (1:21)
- M2(5) Formal definition of a theory (3:03)
- M2(6) Structural diagrams of theory (3:19)
- M2(7) Theoretical and conceptual frameworks (6:46)
- M2(8) Structuring a scientific argument (the Toulmin structure of argument) (1:01)
- M2(9) Conceptual frameworks & structural diagrams (2:23)
- M2(10) Summary (1:06)
- M2(11) Potential pitfalls in theoretical & conceptual framework (2:52)
Available in
days
days
after you enroll
- Module 3: A bird's eye view (2:38)
- M3(1) Terminology and definitions (1:09)
- M3(2) Types of variables (4:05)
- M3(3) Research approaches (3:06)
- M3(4) Mixed methods approach (1:58)
- M3(5) Describing research strategies (6:46)
- M3(6) Research strategy categories (5:40)
- M3(7) Experimental manipulation with random assignment (3:26)
- M3(8) Experimental manipulation with no random assignment (7:27)
- M3(9) Non-experimental manipulation (2:19)
- M3(10) Longitudinal Research (2:03)
Available in
days
days
after you enroll
- Module 4: A bird's eye view (1:00)
- M4(1) What is sampling? (3:39)
- M4(2) Probability vs non probability sampling (1:40)
- M4(3) Probability sampling methods (8:05)
- M4(4) Measuring sampling error (0:57)
- M4(5) Non-probability sampling (3:44)
- M4(6) Probability vs non-probability sampling summary (2:12)
- M4(7) A historical sampling related disaster (3:07)
- M4(8) Describing your sample (2:01)
- M4(9) Essential concepts in sample size determination (6:08)
- M4(10) Sample size calculations_Examples (3:25)
- M4(11) Sample size calculations: regression analysis (3:58)
- M4(12) Absence of evidence is not evidence of absence (3:08)
- M4(13) Missing information (1:11)
- M4(14) Online surveys & social media polling (2:22)
Available in
days
days
after you enroll
- M5(0) Bird's eye view (0:45)
- M5(1) Basic measurement concepts (1:48)
- M5(2) What is score reliability? (2:20)
- M5(3) Why is reliability important? (3:37)
- M5(4) Types of score reliability (1:38)
- M5(5) Reporting errors related to coefficient alpha (3:48)
- M5(6) Good reporting practices (1:38)
- M5(7) Reliable empirical research (4:33)
- M5(8) What is score validity? (3:42)
- M5(9) Research validity (1:52)
Lerato
Before the course, I felt really lost, but I made time to sit and listen to every video and your slides. And it's now my research is so clear.
Jessica
Your videos are incredibly engaging and stimulating, and your guidance has contributed immensely to my academic growth.
Samuel
I am forever thankful and appreciative of your amazing patience in teaching us such challenging modules in a simple way.