# SPSS Basics

SPSS primer - learn the fundamentals of statistical analysis with SPSS.
4.4 (290 ratings) â€¢ 5,820 students enrolled
Instructed by Bogdan Anastasiei
Free
• Lectures 28
• Length 2 hours
• Skill Level Beginner Level
• Languages English
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Available on iOS and Android
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Published 7/2015 English

### Course Description

A friendly video course for anybody who wants to get the first notions of statistical analysis with SPSS.

If you are an absolute beginner and don't know anything about SPSS, this free course is for you. After completing it, you will know how to create an SPSS data set, how to work with your data (select cases, split files, weigh data etc.), how to summarize and visualize your data with charts and tables, how to compute the statistical indicators for your data series, and also how to perform a couple of statistical tests (the ch-square test for association and the independent samples t test).

In a word, you will have a solid idea about how SPSS works and what you can do with it.

All that's required from you is basic statistics knowledge (this is not a Statistics 101 course).

This course is structured in 27 lectures, covering about 20 topics. For every topic I have prepared practical exercises, so you can consolidate your knowledge and form your skills. You can find the exercises in the PDF files attached to almost every lecture.

With this course you can master the basics of SPSS in a few days only (depending, of course, of your learning pace).

So... just press the enroll button to start learning now. :)

### What are the requirements?

• very basic knowledge of statistics (mean, standard deviation, confidence interval, significance level, things like that)

### What am I going to get from this course?

• manipulate data in SPSS
• visualize data using the most important types of charts
• compute the main statistical indicators
• build tables and cross tables
• check for normality
• detect the extreme values (outliers)
• perform the chi square test for association
• perform the independent-sample t test

### Who is the target audience?

• students and graduate students in statistics and social sciences (psychology, sociology, marketing etc.)
• anyone who want to learn the basics of statistical analysis in SPSS

### What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

# Curriculum

Section 1: Getting Started
Introduction
02:13
Section 2: Basic Operations With Data
02:41

How to create new files and open existing files.

12:08

How to create variables in SPSS.

09:29

How to recode variables in SPSS, for various purposes.

07:52

How to create dummy variables in SPSS.

07:11

How to select (filter) cases in SPSS files.

02:52

How to split files in SPSS.

11:09

How to weigh variables in SPSS.

Section 3: Building Charts in SPSS
06:41

How to build column charts in SPSS.

04:35

How to build line charts in SPSS.

04:06

How to build scatterplot charts in SPSS.

04:24
How to build

boxplot diagrams in SPSS.

Section 4: Simple Analysis Techniques
05:47

How to build tables of frequencies.

01:56

How to compute the main statistical indicators for your data series.

05:09

More ways to analyze your data.

03:23

How to analyze the continuous variables.

03:21

How to build cross tables in SPSS.

Section 5: Bonus Package 1: Assumption Checking
1 page

A few words about the two lectures in Section 5.

06:34

How to check whether your variables are normally distributed using numerical methods.

03:38

How to identify the extreme values using graphical methods.

Section 6: Bonus Package 2: More Advanced Analyses
1 page

A few words about the Section 6.

06:36

The chi-square test for association in SPSS.

03:54
The chi-square test for association in SPSS,

with weighted data.

04:13

Independent samples t test in SPSS - introduction.

01:36
Independent-Sample T Test

in SPSS - Assumption Testing.

05:09
Independent-Sample T Test - Output

Interpretation.

Section 7: What's Next?
2 pages

The conclusions of this course,

Section 8: Course Materials
00:08