Learn Statistics with JASP (a FREE alternative to SPSS)

Name: Learn Statistics with JASP (a FREE alternative to SPSS)
Rating: 4.8 (126 reviews)

From basic to advanced procedures

Created bySebastian Pintea

Last updated 3/2022

English

What you'll learn

To handle databases and results in JASP
To perform basic and advanced data analysis with JASP
To construct an validate complex predictive models with JASP
To find patterns in the data with JASP

Course content

6 sections • 21 lectures • 3h 7m total length

1.1. Introduction to JASP2:08
Students will be able to understand the utility of the JASP software in data analysis
2.1. Downloading and installing JASP4:06
Students will be able to download JASP and to install it on their computers
3.1. Importing a database in JASP5:04
Students will be able to import databases into JASP

2.1. Handling data in JASP: save and export9:53
Students will be able to handle data in JASP, save data and results, and export data into other formats
2.2. Recoding and transforming variables in JASP15:46
Students will be able to recode and transform variables in JASP
2.3. Reversing and computing variables in JASP13:21
Students will be able to revers variables and to compute complex variables incorporating several items
2.4. Selecting cases, splitting and filtering with JASP10:41
Students will be able to select cases, to split analyses and to filter cases with JASP

3.1. Descriptive statistics with JASP12:49
Students will be able to compute descriptive statistics with JASP (mean, mode, median, maximum, minimum, range, variance, standard deviation). Also, they will be able to build and analyze an adequate graph for each type of variable.
3.2. Proportions comparisons & non-parametric correlation10:17
Students will be able to compare proportions and to test the relationship between categorical variables
3.3. The Pearson correlation8:18
Students will be able to perform the Pearson correlation with JASP

4.1. The independent samples t test9:42
Students will be able to compare two groups in JASP using the independent samples t test
4.2. The repeated measures t test11:14
Students will be able to compare two repeated measures with JASP, using the repeated measures t-test
4.3. The independent samples ANOVA10:38
Students will be able to compare 3 or more groups with JASP using the independent samples ANOVA
4.4. ANOVA with repeated measures12:05
Students will be able to compare three or more repeated measures in JASP using the repeated measures ANOVA

5.1. The simple linear regression6:52
Students will be able to perform a simple linear regression in order to test models with one predictor
5.2. The multiple linear regression - Part I7:54
Students will be able to test complex models in JASP using the multiple linear regression
5.3. The multiple linear regression - Part II6:48
Students will be able to test complex models in JASP using the multiple linear regression

6.1. Logistic regression with JASP11:57
Students will be able to perform logistic regressions with JASP
6.2. The independent factorial ANOVA6:52
Students will be able to perform the ANOVA analysis with two or more factors using JASP
6.3. The analysis of covariance (ANCOVA) with JASP11:17
Students will be able to test ANCOVA models with JASP
6.4. Final (future developments)0:17
Students will find out about the new JASP tutorials that are going to be uploaded.

Requirements

Basic knowledge of arithmetic and algebra
Basic knowledge of statistics is an advantage

Description

JASP is a free multi-platform open-source statistics package, developed and continually updated by a group of researchers at the University of Amsterdam. It has a simple drag and drop interface, easy access menus, intuitive analysis with real-time computation, and a display of all results. JASP can perform from basic data analysis (descriptive statistics such as central tendency, dispersion, histograms, scatter plots, box-plots, raincloud plots, comparisons between groups and between measures such as t-test, Analysis of Variance, non-parametric tests such as Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman, parametric and non-parametric correlations, simple and multiple regressions, linear mixed models, generalized linear mixed models) to more advanced data analysis such as factorial analysis, networks analysis, meta-analysis, structural equation modeling, visual modeling, machine learning and many more.

I think that everybody who is interested in data analysis deserves to know about JASP and to learn how to use it.

I invite you to join me on this learning journey. At this moment, there are several analytical modules from JASP for which I have already generated learning tutorials, but this is an ongoing process, and this course is growing from one week to another.

I need a companion on this journey. So what are you waiting for? Let's go!

Who this course is for:

Students from a large diversity of sciences (data science, engineering, sociology, psychology, anthropology, economics, marketing, business etc))
Managers and entrepreneurs who want to gain valuable information by analyzing data in their domains
Professionals who want to take a big step further in their careers by adding new cognitive tools to their belt

Learn Statistics with JASP (a FREE alternative to SPSS)

What you'll learn

Explore related topics

Course content

Downloading JASP and importing databases3 lectures • 11min

2. Handling data & transforming variables with JASP4 lectures • 50min

3. Descriptive statistics. Proportions comparison. Pearson correlation3 lectures • 31min

4. Comparisons between groups with JASP4 lectures • 44min

5. Simple and multiple linear regression with JASP3 lectures • 22min

6. Logistic regression. Factorial ANOVA and ANCOVA4 lectures • 30min

Requirements

Description

Who this course is for: