Slide 4
Slide 4 text
Photo: Startup Weekend Hackathon. Nov.2014
Lecture Labs
Topic Chapter Topic Activities
Week 1 Human Inquiry and Science 1
Week 2 Paradigms, Theory and Research 2
LAB 1
Installing SPSS Installing SPSS and opening a sample dataset
Week 3 Research Design and the Logic of Causation 4
LAB 2
Intro to SPSS
- Overview of the SPSS environment.
- Data editor window,
- Output viewer window filetypes, cases and variables (variable types,
naming conventions)
- What is a dataset
- Importing a dataset in SPSS
Week 4
Conceptualization, Operationalization, and
Measurement 5
LAB 3
Variable types and recoding Variables
- Variable types (string, numeric; ordinal, scale, nominal).
- Recoding Variables
Week 5 Research Ethics 3
Week 6 Survey Research 8
Week 7
Quantitative Data Analysis - Univariate &
bivariate 14
LAB 4
Descriptive statistics - Univariate (Frequencies)
- Histogram, bar charts, pie charts
- Frequency tables and charts,
- Customizing the output viewer
- Basic data visualization heuristics and how to apply them on SPSS
Week 8
Quantitative Data Analysis - Multivariate
Analysis 15
LAB 5
Measures of Central Tendency and Variation Mean, Median, Mode, STD deviation
Week 9 Social Statistics 16
LAB 6
Bivariate analysis - Crosstabulation Introducing bivariate statistics and how to run crosstabs in SPSS
Week 10 The Logic of Sampling 6
LAB 7
Bivariate with controla variable and seecting
cases
- Crosstab with control variable
- Selecting Cases
- Removing outliers
Week 11 Experiments 7
LAB 8
Assignment 3
This week we will introduce the dataset for Assignment 3 as well as
considerations for univariate and bivariate statistics.
Week 12 Non-Reactive Research 9
LAB 9
Open lab Troubleshooting assignment 3 problems
Week 13 N/A N/A