Methods101
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SOCI2000
Administration
Teaching Schedule
Model Project
1.0 Why study methods?
1.1 Skills for Learning
1.2 Parts of a Study
2.0 Lit. Review
2.1 Research Ethics
3.0 Qualitative Data
4.0 Quantitative Data
4.1 - The Survey
4.2 - Measurement
5. Qualitative Analysis
5.1 - Theory
5.2 - Example
5.3 - In Word
5.4 - In Dedoose
5.5 - Concepts
6. The Experiment
6.1 - Classical Experiments
6.2 - Key Concepts
6.3 - Types of Exp
6.4 - Validity
6.5 - Exercises
7.0 Writing
9.0 Qualtrics & SPSS
9.3 Intro to Stats
10. Bivariate Stats
11. Cleaning Data
12. Regression & Graphs
Presentation Preparation (Week 8)
Presentation Preparation (Week 13)
Practice mid-semester exam
Practice final exam
Feedback
FAQ
Projects: Files
Projects: Meetings
SOCI2000 - SPSS
SPSS help: An Introduction
SPSS help: Running SPSS
SPSS help: How to Link Google Drive to AppStream
SPSS help: Import your data
SPSS help: Concept sheet
SPSS help: Online resources
SOCI2000 Workshop 1: Descriptive statistics
SOCI2000 Workshop 2: Correlation
SOCI2000 Workshop 3: T-test
SOCI2000 Workshop 4: Indexes
SOCI2000 Workshop 5: Linear Regression
SOCI2000 Workshop 6: Logistic Regression
SOCI2000 Workshop 7: Visualisation
SSCI2020
Preparation for the Workshops
Workshop 1: Introducing SPSS
Workshop 2: Visualising Data
Workshop 3: Exploring 2012 AuSSA
Workshop 4: Recoding and Computing Variables
Workshop 5: Exploring NSW Crime Data
Workshop 6: Exploring Crime Rates in NSW
Workshop 7: Exploring the 2019 AuSSA Data
Workshop 8: Confidence Intervals and Hypothesis Testing
Workshop 9: Crosstabs and Chi-square
Workshop 10: Correlation
Workshop 11: Regression Analysis
SOCI8015
Lab 1: Introducing R and RStudio
Lab 2: Creating Datasets
Lab 3: Playing with Variables
Lab 4: Recoding Variables
Lab 5: Univariate Statistics
Lab 6: Univariate Statistics 2
Lab 7: Normal Distribution & Confidence Intervals
Lab 8: Testing Hypothesis(t-test)
Lab 9: Crosstab & Chi-sqaure Test
Lab 10: Correlations & Simple Regression
Lab 11: Multiple Regression
SOCI832
Overview: Lessons
Overview Week 1
1.1 Motivating Example
1.2 Intro to SOCI832
1.3 Intro to R
2.0 Overview
2.1 Intro to Research Methods
2.2 Exercise
2.3 Finding Article + Data
3.0 Overview
3.1 Intro to Stats
3.2 Exercise: Concepts
3.3 Univariate R
3.4 Exercise: Code in R
4.0 Overview
4.1 Setup R
4.2 Downloading Datasets
4.3 Import and Codebook
4.4 Plan Cleaning
4.5 Recoding
4.6 Descriptive Stats
5.0 Overview
5.1 Crosstabs
5.2 Compare Means
5.3 Correlation
5.4 Tables + Plots
6.0 Overview
6.1 Factor Analysis
6.2 Example
6.3 Cronbach's Alpha
6.4 Tables and Graphs
8.0 Overview
8.1 Regression
8.2 Examples
10.0 Overview
10.1 Logit
10.2 Odds Ratios
10.3 Path Analysis
11.1 Diagnostics
11.2 Other Regressions
11.3 Multilevel Models
12.1 Visualisation
App. 1. Installing R & RStudio
App. 2. Tips for R
App. 3. Graphics
App. 4. Practice Data
App. 5. Choosing Correlations
Thesis Advice
1. Scoping a Topic
2. Qualtrics Sample
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