What you will learn in the course
The course takes you from absolute beginner of SPSS and statistics, all the way to advanced topics that you will be frequently using in your research projects
- Data entry, data importing and preparation
- Summarizing data using descriptive statistics
- Exploring relationships between different types of variables
- Choosing appropriate charts and developing them
- Transforming variables and managing the data to suit your analyses
- Choosing the appropriate inferential tests such as chi-square, t-tests and regression and running them
- How to interpret all the statistics presented in the course and presenting them using the APA format
- How to write your research methodology, results and discussions sections
Description
Are you supposed to do data analysis but you don't have a string statistics or data analysis background?
Whether you are a student writing a thesis/dissertation or you work on a role that requires that you analyze data and report the results, this is the course for you.
In the course , you will learn statistical data analysis from the very basics to the advanced without worrying about complicated calculations:
You will discover:
- How to structure your data for analysisÂ
- How to choose the type of analyses to run depending on the structure of your data
- How to run those analyzes in SPSS
- Understanding and interpreting the analyses
- How to report your analyzes in the APA standard
- Aside from the self-paced video lessons, you will also have the chance to ask questions related to your data analysis projects during our 2-hour long weekly live Q&A sessions through Zoom.
With this course, you are guaranteed to ace your statistical data analyses and report writing.
Course curriculum
Week 1
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after you enroll
- 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
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after you enroll
- 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
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after you enroll
- 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
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after you enroll
- 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
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after you enroll
- 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
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after you enroll
- 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
Your certificate
Available in
days
days
after you enroll
Join the full course
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