📖
lectures
  • All lectures and labs
    • Guidelines and rubrics
      • Lecture reflections
      • Office hours
      • Where are the readings, slides, and lecture videos?
      • How to submit an assignment
      • How to move a file in Google Drive
      • How to rename a file and folder in Google Drive
      • Highlighting and commenting assignment instructions
      • How to collaborate on the same Google document
      • How to embed an image in Canvas
      • Pomodoro technique
      • Which apps to download
      • How to use zbib.org for citations?
      • How to determine peer-reviewed journal articles?
      • Citation chaining procedure
      • ResearchRabbit: Literature discovery engine
      • Selective literature review
      • How to take a screenshot
      • Canvas notification settings
      • How to use Google Calendar
      • Presentation templates and samples
      • Qualitative (Content analysis) DRAFT research memo guideline and rubric
      • Qualitative (Content analysis) FINAL research memo guideline and rubric
      • How to use VPN (for Windows and macOS)
      • Letter of recommendation requests
    • Lectures
      • Social research
        • Social research: why and how
        • The ABC's of a research project
        • Introduction to datasets
        • Research ethics
        • Literature review I: Annual review articles and citations
        • Literature review II: citation chaining and discovery engine
        • Introduction to survey methodology
        • Probability sampling methods
        • Non-probability sampling methods
        • Asking questions
        • Qualitative interviewing
        • Self-completion questionnaires
        • Focus groups
        • Mass and social media research
        • Data collection in mass media research
        • Content analysis and coding with Google Docs
        • Effective presentation techniques
        • Concepts and indicators
        • Presentations 1
        • Presentations 2
        • Presentations 3
        • Presentations 4
        • Presentations 5
      • Immigration
        • Why do people migrate?
        • Who does migrate?
        • Introduction to assimilation theories
        • New and segmented assimilation theory
        • Group conflict
        • Group contact
        • Children of immigrants
        • Social identity of immigrants
        • Migrant networks
        • Intergenerational relationships
        • Grandparental involvement
        • Return migration
        • The sociology of border
        • Immigration and crime
        • Marriage migration and religiosity
        • The construction of ethnicity
      • Sociological thinking
        • The sociological eye
        • Foundations of social theory
        • Scientific sociology: social facts
        • Social structure
        • What is critical thinking?
        • Claims and evidence
        • Everyday arguments
        • Analyzing arguments
        • Network-based factors influencing critical thinking
        • Common errors of perspective in sociological thinking
        • Misinformation and disinformation
        • Propaganda
        • Conspiracy theories and sociology
        • Cognitive influences on critical thinking
        • Ethical reasoning
        • Deviance I: The role of deviance
        • Deviance II: Explaining deviance
        • Social class and inequality
        • Sociology of poverty
        • Sociological perspectives on substance abuse
    • R lab
      • Lab lectures
        • Introduction RStudio
        • Introduction to scripting
        • Descriptive statistics
        • Recoding
        • Computing
        • Chi-square
        • Sampling
        • T-test
        • Visualization
        • Correlation
        • Linear regression basics
        • Dummy variables
        • Logistic regression
        • Modeling exercises
        • Regression assumptions and diagnostics
      • Lab resources
        • How to create RStudio Cloud account and installing all the packages
        • How to open and use R script files in RStudio Cloud
        • Flashcards
        • All R script files
        • Variables in GSS
        • Code templates
        • Interpretation templates
        • How to use model codes
        • Data terminologies
        • Is my p-value less than 0.05?
        • Codebooks
        • How to use RStudio on a computer without using a browser
    • SPSS lab
      • SPSS lab resources
        • All syntax and data files
        • GSS codebook
        • Code templates
        • How to use VPN (for Windows and macOS) and use SPSS
        • How to download PSPP
      • SPSS lab lectures
        • Introduction to SPSS
        • Entering data
        • Recoding and computing I
        • Recoding and computing II
        • Probability sampling
        • Correlation
        • Chi-square
        • T-Test
        • Simple linear regression
        • Multiple linear regression
        • Multiple linear regression exercises
        • Logistic regression
        • Multiple linear and logistic regression exercises
    • NVIVO lab
      • NVIVO lab files
        • All NVIVO cheat files
        • NVIVO data
      • NVIVO lab lectures
        • Introduction to NVIVO
        • Coding basics I
        • Getting familiar with data
        • Getting familiar with own data
        • Coding basics II: initial, axial and focused coding
        • Cases, attributes, values, and visualization
        • Relationships
        • Framework matrices
        • Mind maps, concept maps, project maps
        • NVIVO file for final paper
    • Welcoming pages
      • Welcome to SBS321
      • Welcome to SOC399
      • Welcome to SOC120
Powered by GitBook
On this page
  • Reading
  • R Script file
  • Slides
  • Lab assignment
  • Lecture video
  • Sample lab assignment video
  • Lecture reflection
  1. All lectures and labs
  2. R lab
  3. Lab lectures

Sampling

Last updated 2 months ago

Reading

R Script file

Slides

Lab assignment

Lecture video

Sample lab assignment video

Lecture reflection

Lab assignment
Sample lab assignment google doc
Lecture reflection template
Selecting samples
script_sampling.R
Downloadable slides here