SPSS Data Analysis & Results Writing Course for Beginners
Welcome message
What I will learn?
- Analyze any type of numerical data using SPSS with confidence.
- Independently plan your research study from scratch.
- Understand the research design and results presented in high-quality journal articles.
- Do data analysis accurately and present the results in the standard format.
About course
You don’t need to be a statistician or mathemetician to take this course. This SPSS data analysis course is designed for complete beginners who have never done data analysis before. If you are writing a research paper or doing business and you have some data to analyze then you won’t need a statistician anymore if you do this course. This course describes the necessary features of the SPSS program from scratch and then talks about the most useful statistical tests.
For each statistical procedure I provide the following pieces of information:
- A short, but comprehensive description (so you understand what that technique can do for you).
- How to perform the procedure in SPSS (live).
- How to interpret the main output, so you can check your hypotheses and find the answers you need for your research).
If you hire a statistician it would cost you more than this course. Instead, you can take this course and then perform data analysis and results writing for your current and future research projects.
Course Curriculum
SPSS basic operations (fist lecture is free!)
- 15:32
-
Compute a new variable
04:17 -
Calculate mean, median, mode; create graphs; recode data
07:41 -
Intro to spss
Chi-Square Test
-
Establish the association between two categorical variables
09:52
T tests
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Independent samples t-test
09:10 -
Paired samples t-test
07:28
One-Way ANOVA
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Relationship between group means
10:18
Non-parametric tests
-
Kruskal Wallis H test and Mann Whitney U test
05:40
Correlation tests
-
Pearson and Spearman Correlation
08:22
Regression tests
-
Simple linear regression
08:41 -
Binary logistic regression
05:56
Results writing
-
Guidelines for writing
01:14 -
APA formatting and style guide
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Assumptions of different statistical tests
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APA style result writing examples
-
Quick guide to Harvard referencing
Reliability analysis
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Chronbach’s alpha
06:01
ROC Curve
-
ROC curve explained
07:09
A little about biostat
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Key definitions and data types
16:35 -
Central tendencies and variations
09:13
Bonus video
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See how I do it in real life
26:35
Enroll
- LevelBeginner
- Last UpdatedAugust 31, 2024
- CertificateCertificate of completion
Material Includes
- 3 hours of on-demand video
- 20 downloadable SPSS files for practice
- Access on mobile and TV
- Full 1-year access
- Certificate of completion
Requirements
- The course is built from scratch so no prior knowledge of SPSS or Statistics is required. We cover all the required details in the course both the theory and practical parts.
- The learners must have a copy of SPSS software to practice the steps taught in this course.
FAQs
SPSS is currently the most popular statistics program. Over 40 percent of researchers all over the world use it. The learning curve is not so stiff, and it can fulfill all your data analysis needs.
Definitely, you will. This course is designed in such a way that a complete beginner can get into the data analysis world. You don’t need the knowledge of stat for this course. At the end of this course, you will be able to perform data analysis for your own research papers.
The videos are pre-recorded. All videos are easy to understand. There are some helpful documents as well to further assist your learning.
Yes, you can. We have a dedicated comment section for every video. You can ask questions in the comment section. You will get answers from the course mentor and other students.
Course Reviews
This course delivered exactly what I was looking for. I could perform data analysis for my research paper after completing this course. And, the peer reviewer accepted my results. It certainly made my life easy.
Christopher Gomez
Student - Universiti Utara Malaysia
This is perfectly suitable for beginners. Thanks for making this course.
Olivia
Medical Research Assistant