PSYO 271 Lab
PSYO 271 Lab
Learning Objectives
Lab Expectations
Lab Schedule
Required Software
Author’s Note
1
Using R Commander and SPSS
1.1
Learning Objectives
1.2
Introduction to R Commander and SPSS
1.3
Accessing Your Virtual Machine
1.4
R Commander Basics
1.5
SPSS Basics
2
Data Visualization
2.1
Learning Objectives
2.2
Choosing a Data Visualization
2.3
Plots of One Numeric Variable
2.3.1
Histograms and Dot Plots in R Commander
2.3.2
Histograms and Dot Plots in SPSS
2.4
Plots of One Categorical Variable
2.4.1
Pie Charts and Bar Charts in R Commander
2.4.2
Pie Charts and Bar Charts in SPSS
2.5
Plots of Two Numeric Variables
2.5.1
Scatterplots in R Commander
2.5.2
Scatterplots in SPSS
2.6
Plots of One Numeric Variable and One Categorial Variable
2.6.1
Plots of Means in R Commander
2.6.2
Error Bar Plots in SPSS
2.7
Adding Axis Labels and Titles
2.7.1
Adding Axis Labels and Titles in R Commander
2.7.2
Adding Axis Labels and Titles in SPSS
2.8
Assignment
3
Descriptive Statistics
3.1
Learning Objectives
3.2
Descriptive Statistics in R Commander
3.3
Descriptive Statistics in SPSS
3.4
Check Your Understanding
3.5
Solution: Check Your Understanding
3.6
Assignment
4
Resistant Indicators
4.1
Learning Objectives
4.2
Resistant Indicators in R Commander
4.2.1
Calculating Interquartile Range in R Commander
4.2.2
Boxplots in R Commander
4.3
Resistant Indicators in SPSS
4.4
Check Your Understanding
4.5
Solution: Check Your Understanding
4.6
Assignment
5
z
Scores and Scale Transformations
5.1
Learning Outcomes
5.2
Variable Transformations in R Commander
5.3
Variable Transformations in SPSS
5.4
Check Your Understanding
5.5
Solution: Check Your Understanding
5.6
Assignment
6
One-Sample
t
Tests
6.1
Learning Objectives
6.2
Conducting One-Sample
t
Tests in R Commander
6.3
Conducting One-Sample
t
Tests in SPSS
6.4
Interpreting One-Sample
t
Test Output
6.5
Reporting One-Sample
t
Tests in APA Style
6.6
Check Your Understanding
6.7
Solution: Check Your Understanding
6.8
Assignment
7
Independent Samples
t
Test
7.1
Learning Objectives
7.2
Conducting Independent Samples
t
Tests in R Commander
7.3
Conducting Independent Samples
t
Tests in SPSS
7.4
Interpreting Independent Samples
t
Test Output
7.5
Reporting Independent Samples
t
Tests in APA Style
7.6
Check Your Understanding
7.7
Solution: Check Your Understanding
7.8
Assignment
8
Paired Samples
t
Test
8.1
Learning Outcomes
8.2
Conducting Paired Samples
t
Tests in R Commander
8.3
Conducting Paired Samples
t
Tests in SPSS
8.4
Interpreting Paired Samples
t
Test Output
8.5
Reporting Paired Samples
t
Tests in APA Style
8.6
Check Your Understanding
8.7
Solution: Check Your Understanding
8.8
Assignment
9
Regression
9.1
Learning Outcomes
9.2
Conducting Regression Analyses in R Commander
9.3
Conducting Regression Analyses in SPSS
9.4
Interpreting Regression Output
9.5
Reporting Regression Results in APA Style
9.6
Check Your Understanding
9.7
Solution: Check Your Understanding
9.8
Assignment
10
Correlation
10.1
Learning Outcomes
10.2
Conducting Correlation Analyses in R Commander
10.3
Conducting Correlation Analyses in SPSS
10.4
Interpreting Correlation Output
10.5
Reporting Correlation Results in APA Style
10.6
Check Your Understanding
10.7
Solution: Check Your Understanding
10.8
Assignment
11
Effect Sizes and Confidence Intervals
11.1
Learning Objectives
11.2
Confidence Intervals
11.2.1
One-Sample
t
Test
11.2.2
Correlation
11.3
Cohen’s
d
11.4
Cohen’s
d
z
11.5
Check Your Understanding
11.6
Solutions: Check Your Understanding
11.7
Assignment
12
ANOVA
12.1
Learning Outcomes
12.2
One-way ANOVA
12.2.1
Conducting One-way ANOVA in R Commander
12.2.2
Conducting One-way ANOVA in SPSS
12.2.3
Interpreting One-way ANOVA Output
12.2.4
Reporting One-way ANOVA Results in APA Style
12.3
Factorial ANOVA
12.3.1
Conducting Factorial ANOVA in R Commander
12.3.2
Conducting Factorial ANOVA in SPSS
12.3.3
Interpreting Factorial ANOVA Output
12.3.4
Reporting Factorial ANOVA Results in APA Style
12.4
Check Your Understanding
12.5
Solution: Check Your Understanding
12.6
Assignment
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PSYO 271 Lab
4.4
Check Your Understanding
Calculate the interquartile range (IQR) and create a boxplot of the
age
variable.