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Relieve Your Dissertation Pain Points
FINISH YOUR DISSERTATION INTRODUCTION
Finish Your Dissertation Course Tour (4:43)
Welcome guide and workbooks (pdf)
RELIEVE YOUR DISSERTATION PAIN POINTS INTRODUCTION
Preliminaries (2:27)
Workbooks (pdf)
MODULE 1: A WINNING INTRODUCTION
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)
MODULE 2: LITERATURE AND THEORY
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)
MODULE 3: RESEARCH DESIGN
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)
MODULE 4: SAMPLING METHODOLOGY
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)
MODULE 5: MEASUREMENT
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)
M2(8) Structuring a scientific argument (the Toulmin structure of argument)
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