SPSS for NonStatisticians- Analysis, Interpretation, Writeup
Learn SPSS from the simplest explanations, so much practice and APA reporting templates
Ratings 4.81 / 5.00
What You Will Learn!
- How to create variables, enter data and import data into SPSS
- Understanding different types of variables and how to choose analysis depending on the types of variables involved
- Summarizing variables using frequencies, percentages, mean, median, and standard deviation
- Exploring relationships between different kinds of variables using crosstabulations, correlations and mean differences
- How to develop and make sense of charts
- How to transform variables and manage data
- Understanding fundamentals of inferential statistics and hypothesis testing
- Running and interpreting t-tests, ANOVA, linear regression and chi square
- How to write the results of all the analyses presented in APA format
Description
For students, researchers and data analysts who don't have a strong statistical background (or any statistical background), this course teaches you statistical data analysis, interpretation, and APA reporting in a simple, practical approach.
Alexander Mtembenuzeni takes the same simple explanations approach he took with the "Learn SPSS in 15 minutes" video on YouTube (now with over 1.9 million views and so many great comments) and used it to create this course.
The goal of this course is to get you to complete your research project without the need to go through complicated theories!
The course takes you from absolute beginner of SPSS and statistics with lessons such as getting familiar with the SPSS interface, creating variables, entering data, and running, interpreting and reporting basic analyses. From there, you will be introduced to inferential tests and hypothesis testing with statistics such as t-tests, ANOVA and linear regressions.
The course covers:
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 how to write your results in your reports, dissertations, or thesis using the APA format
Who Should Attend!
- For students, researchers and data analysts who don't have a strong statistical background
