• AP® Research
  • Research Philosophy & Ethics
  • 1 Research Question
  • 2 Literature Review
  • 3 Bibliography Management
  • 4 Paper Guidelines
  • 5 File Organization
  • 6 Research Concepts
    • 6.1 Reliability & Validity
    • 6.2 Accuracy vs. Precision
    • 6.3 Bias vs. Variance Tradeoff
    • 6.4 Curse of Dimensionality
    • 6.5 Correlation vs. Causation
  • 7 Research Design
    • 7.1 Action
    • 7.2 Case Study
    • 7.3 Case-Control Study
    • 7.4 Causal
    • 7.5 Cohort
    • 7.6 Cross Sectional
    • 7.7 Descriptive
    • 7.8 Experimental
    • 7.9 Exploratory
    • 7.10 Historical
    • 7.11 Longitudinal
    • 7.12 Meta-Analysis
    • 7.13 Mixed Methods
    • 7.14 Observational
    • 7.15 Philosophical
    • 7.16 Sequential
    • 7.17 Systematic Review
    • 7.18 Quasi-experimental
  • 8 Qualitative Research Methods
    • 8.1 Case Study
    • 8.2 Narrative
    • 8.3 Phenomenological
    • 8.4 Ethnography
    • 8.5 Grounded Theory
  • 9 Quantitative Methods
    • Causal Inference
      • 9.0.1 Experiments
      • 9.0.2 Regression
      • 9.0.3 Matching Methods
      • 9.0.4 Instrumental Variables
    • 9.1 Statistical Tests
      • 9.1.1 1-sample t-test
      • 9.1.2 chi-squared test for variance
      • 9.1.3 z test for proportions
      • 9.1.4 t-test for 2 independent samples
      • 9.1.5 paired t-test
      • 9.1.6 chi-squared test for proportions
      • 9.1.7 chi-squared test for independence
      • 9.1.8 ANOVA
    • 9.2 Regression
      • 9.2.1 Simple Linear Regression
      • 9.2.2 Multiple Linear Regression
      • 9.2.3 Logistic Regression
      • 9.2.4 Mixed Effects Models
    • 9.3 Numerical Methods
      • 9.3.1 Root-Finding Algorithms
      • 9.3.2 Numerical Solutions to Differential Equations
    • 9.4 Text Analysis
    • 9.5 Network Analysis
    • 9.6 Geospatial Analysis
  • Resources by Discipline
    • Biology & Biostatistics
    • Economics & Econometrics
    • Psychology
    • Public Health & Epidemiology
    • Social Sciences
  • 10 Data
    • 10.1 Data Sources by Discipline
      • 10.1.1 Demography and Official Statistics
      • 10.1.2 Economics
      • 10.1.3 Education
      • 10.1.4 Law
      • 10.1.5 Social Sciences
    • 10.2 Data Documentation
  • 11 Analysis
    • 11.1 Logical Fallacies
    • 11.2 Biases
    • 11.3 Model Selection
  • References
  • Data Programming
    • 11.4 R
    • 11.5 Cleaning and Reshaping Data
    • 11.6 Regular Expressions
  • Literate Programming
    • 11.7 LaTeX
    • 11.8 Beamer
    • 11.9 knitr (R + LaTeX)
    • 11.10 R Markdown
    • 11.11 R Bookdown
    • 11.12 Rmd to MS Word
  • Version Control
    • 11.13 Github
  • Published with bookdown

AP® Research Handbook

Resources by Discipline

Biology & Biostatistics

  • Handbook of Biological Statistics
  • An R Companion for the Handbook of Biological Statistics

Economics & Econometrics

  • Introduction to Econometrics with R
  • Principles of Econometrics with R
  • Introduction to Data Science

  • Using R for Introductory Econometrics

  • Examples:

    • Annotated Sample Econometrics Paper

    • Microeconomic example of utility maximization constrained by budget lines

Psychology

  • Psychology Research Methods

Public Health & Epidemiology

  • Examples:

    • SIR Model Using R

Social Sciences

  • Social Science Methods Modules
  • Applied Causal Analysis