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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 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. :)
Who this course is for:
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'll learn

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

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Getting Started
1
1.1-Introduction
2-Basic Operations With Data
7
2.1-Working With SPSS Files
2.2-Defining Variables
2.3-Variable Recoding
2.4-Dummy Variables
2.5-Selecting Cases
2.6-File Splitting
2.7-Data Weighting
3-Building Charts in SPSS
4
3.1-Column Charts
3.2-Line Charts
3.3-Scatterplot Charts
3.4-Boxplot Diagrams
4-Simple Analysis Techniques
5
4.1-The Frequencies Procedure
4.2-The Descriptives Procedure
4.3-The Explore Procedure
4.4-The Means Procedure
4.5-The Crosstabs Procedure
5-Bonus Package 1: Assumption Checking
3
5.1-Short Note About This Section
5.2-Checking for Normality - Numerical Methods
5.3-Detecting Outliers - Graphical Methods
6-Bonus Package 2: More Advanced Analyses
6
6.1-Short Note About This Section
6.2-Chi Square For Association
6.3-Chi Square For Association with Weighted Data
6.4-Independent-Sample T Test - Introduction
6.5-Independent-Sample T Test - Assumption Testing
6.6-Independent-Sample T Test - Output Interpretation
7-What's Next?
1
7.1-Final Words
8-Course Materials
1
8.1-Download Links