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Social science
80 topics across 6 chapters
Chapter 1
Foundations & theory
1
Key concepts: society, culture, institutions, power
2
Social theory toolkit
3 subtopics
3
Classical social theory (Marx, Weber, Durkheim)
4
Contemporary theory (interactionism, feminism, postcolonial, etc.)
5
Micro–macro link (structure, agency, institutions)
6
Scientific reasoning & epistemology
2 subtopics
7
Correlation vs causation (what counts as an explanation)
8
Validity, reliability, and generalizability
9
Inequality & stratification basics
Chapter 2
Research design
10
Research questions, hypotheses, and units of analysis
11
Ethics & human subjects research
3 subtopics
12
Informed consent, risk, and minimizing harm
13
Privacy, confidentiality, and data security
14
IRB process, research integrity, and misconduct
15
Measurement & operationalization
3 subtopics
16
Operationalization workflow (concept → construct → variable → measure)
17
Survey and questionnaire design basics
18
Coding schemes and codebooks (variables, labels, decisions)
↗ Validity, reliability, and generalizability (see Chapter 1)
19
Sampling strategies
3 subtopics
20
Probability sampling (random, stratified, cluster)
21
Non-probability sampling (convenience, purposive, snowball) and bias
22
Power analysis and sample size planning
23
Study designs
3 subtopics
24
Experiments and randomized controlled trials (RCTs)
25
Quasi-experiments and natural experiments
26
Observational, cross-sectional, and longitudinal designs
27
Causal inference basics
3 subtopics
28
Confounding, selection bias, and control strategies
29
Causal diagrams (DAGs) to encode assumptions
30
Identification assumptions (counterfactuals, exchangeability, SUTVA)
Chapter 3
Quantitative methods & statistics
31
Data wrangling and descriptive statistics (distributions, missingness)
32
Statistical inference
2 subtopics
33
Confidence intervals and hypothesis tests (p-values, interpretation)
34
Multiple testing, robustness checks, and sensitivity analysis (concepts)
↗ Power analysis and sample size planning (see Chapter 2)
35
Regression modeling
3 subtopics
36
Linear regression: coefficients, interactions, and interpretation
37
Logistic regression (binary outcomes) basics
38
Model diagnostics (assumptions, outliers, multicollinearity)
↗ Causal inference basics (see Chapter 2)
39
Visualization and quantitative reporting (effect sizes, uncertainty)
Chapter 4
Qualitative methods & fieldwork
40
Qualitative paradigms and reflexivity (positionality)
41
Qualitative data collection (interviews, observation, documents)
↗ Coding schemes and codebooks (variables, labels, decisions) (see Chapter 2)
42
Qualitative analysis approaches
3 subtopics
43
Thematic analysis workflow (coding → themes → claims)
44
Grounded theory basics (iterative coding and theory building)
45
Discourse analysis basics (frames, narratives, language patterns)
46
Trustworthiness and rigor (credibility, triangulation, member checking)
47
Writing qualitative findings (thick description, anonymization)
Chapter 5
Core disciplines in social science
48
Sociology
2 subtopics
49
Stratification and inequality (class, race, gender)
50
Institutions, organizations, and social networks
51
Political science
2 subtopics
52
Governance, institutions, and the state
53
Political behavior, public opinion, and collective action
54
Economics
2 subtopics
55
Markets, incentives, and economic reasoning
56
Development and inequality measurement (poverty, mobility, distributions)
57
Psychology
2 subtopics
58
Judgment and decision-making (heuristics, biases)
59
Social psychology (identity, norms, groups)
60
Anthropology
2 subtopics
61
Culture, kinship, and social organization
62
Comparative ethnography and cultural relativism
63
Human geography
2 subtopics
64
Urban studies: space, place, segregation
65
GIS basics for social research (layers, joins, spatial patterns)
Chapter 6
Applications & policy
66
Policy analysis & program evaluation
4 subtopics
67
Logic models and theory of change
↗ Experiments and randomized controlled trials (RCTs) (see Chapter 2)
↗ Quasi-experiments and natural experiments (see Chapter 2)
68
Cost-benefit and cost-effectiveness analysis basics
69
Evidence synthesis
2 subtopics
70
Systematic review workflow (PRISMA concepts)
71
Meta-analysis basics (effect sizes, heterogeneity)
72
Equity and inclusion in practice (stakeholders, distributional impacts)
73
Communicating findings to non-academic audiences (uncertainty, tradeoffs)
↗ Ethics & human subjects research (see Chapter 2)

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