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Data Analysis and Interpretation with SPSS
Week 1
What is SPSS (1:32)
Downloading and installing SPSS (5:46)
The SPSS interface (9:06)
Understanding data (6:33)
Understand variables (10:15)
Measurement levels - the key to choosing analyses (13:18)
Branches of statistics (5:39)
Creating variables (14:46)
Creating variables part 2 (7:48)
Entering Data in SPSS (2:56)
Importing data from Excel (9:33)
Frequencies (12:11)
Interpreting and reporting Frequencies (3:31)
Summary statistics (7:26)
Summary statistics Part 2 (5:09)
Interpreting and reporting summary statistics (3:38)
Week 1 resources
Week 2
Introduction to variable relationships (1:57)
Mean comparisons - relationship between categorical and continuous variables (3:16)
Interpreting and reporting mean comparisons (6:16)
Crosstabulation - Relationships between 2 categorical variables (3:37)
Interpreting and reporting crosstabulations (6:53)
Correlation - Relationship between 2 continuous variables (4:22)
Interpreting and reporting correlations (7:56)
Using custom tables (6:04)
Single variable multiple response analysis (4:58)
Multiple response crosstabulation (3:46)
Week resources
Week 3
Introduction to charts (3:38)
Charts for single categorical variables - Pie chart and bar chart (5:26)
Charts for single continuous variables - Histogram and boxplot (6:12)
Charts for relationships between categorical and continuous variables - Multivariate Bar charts (1:49)
Charts for relationships between categorical variables - Clustered and stacked bar charts (4:54)
Charts for relationships between continuous variables - Scatter plots (1:36)
Charts for exploring trends - Line charts (2:57)
Customizing charts (7:54)
Week 3 resources
Week 4
Introduction to variable transformations (0:48)
Ranking (5:39)
Binning (8:40)
Recoding (4:50)
Computing variables (5:50)
Introduction to data management in SPSS (0:35)
Filtering using Select-cases (6:17)
Disaggregating using Split File (3:20)
Merging files by adding cases (2:15)
Merging files by adding variables (2:26)
Week 4 resources
Week 5
Fundamentals of inferential statistics and hypothesis testing (12:37)
Producing, interpreting and reporting correlations (5:21)
Mean differences - one sample t-test (4:30)
Interpreting and reporting one sample t-test (6:29)
Mean differences - paired samples t-test (3:47)
Interpreting and reporting paired samples t-test (11:19)
Mean differences - independent samples t-test (3:25)
Interpreting independent samples t-test: The Levene's test (6:33)
Interpreting and reporting independent samples t-test: The t-test (5:27)
Mean differences - ANOVA (6:45)
Interpreting the ANOVA - Levene's test (7:06)
Interpreting the ANOVA - Post Hoc Tests (4:27)
Reporting ANOVA (8:03)
Week 5 resources
Week 6
Introduction to linear regression (5:48)
Running and interpreting simple linear regression (10:25)
Running a multiple linear regression (5:14)
Interpreting multiple linear regression (6:00)
Basic options for regressions (2:41)
Reporting regressions (13:04)
Chi square of independence (4:52)
Interpreting and reporting chi-square (4:06)
Week 6 resources
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Measurement levels - the key to choosing analyses
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