# Jamovi

jamovi is a free, open-source application that makes data analysis easy and intuitive. jamovi menus and commands are designed to simplify the transition from programs like SPSS but, under the hood, jamovi is based on the powerful statistical programming language R. jamovi has a clean, human-friendly design that facilitates insight into your data and makes it easy to share your work with others. In this introductory course, you’ll learn how you can use jamovi to refine, analyze, and visualize your data to get critical insights.

## Course Information

*Note.* To navigate the videos, click on the menu icon (☰) in the top left of the video.

## Table of Contents

### GETTING STARTED

- Welcome {1:26}
- Installing jamovi {0:34}
- Navigating jamovi {5:20}
- Sample data {2:01}
- Sharing files {1:32}
- Sharing with OSF.io {3:18}
- jamovi modules {4:11}
- The jmv package for R {5:03}

### WRANGLING DATA

- Wrangling data: chapter overview {1:30}
- Entering data {2:04}
- Importing data {4:51}
- Variable types & labels {6:10}
- Computing means {3:54}
- Computing z-scores {1:56}
- Transforming scores to categories {3:42}
- Filtering cases {8:26}

### EXPLORATION

- Exploration: chapter overview {1:06}
- Descriptive statistics {5:27}
- Histograms {4:25}
- Density plots {3:23}
- Box plots {3:26}
- Violin plots {2:38}
- Dot plots {3:07}
- Bar plots {3:28}
- Exporting tables & plots {9:25}

### T-TESTS

- t-tests: chapter overview {1:14}
- Independent-samples t-test {6:40}
- Paired-samples t-test {5:13}
- One-sample t-test {7:08}

### ANOVA

- ANOVA: chapter overview {1:58}
- ANOVA {7:03}
- Repeated-measures ANOVA {9:50}
- ANCOVA {6:40}
- MANCOVA {7:13}
- Kruskal-Wallis test {6:00}
- Friedman test {5:30}

### REGRESSION

- Regression: chapter overview {2:08}
- Correlation matrix {7:32}
- Linear regression {6:14}
- Variable entry {7:15}
- Regression diagnostics {6:20}
- Binomial logistic regression {9:01}
- Multinomial logistic regression {8:48}
- Ordinal logistic regression {8:16}

### FREQUENCIES

- Frequencies: chapter overview {2:19}
- Binomial test {4:53}
- Chi-squared goodness-of-fit {6:27}
- Chi-squared test of association {5:21}
- McNemar test {4:54}
- Log-linear regression {5:46}

### FACTOR

- Factor: chapter overview {1:50}
- Reliability analysis {7:26}
- Principal component analysis {7:58}
- Exploratory factor analysis {7:35}
- Confirmatory factor analysis {8:53}

### CONCLUSION

- Next steps {5:59}

## Revision History

### 07 March 2019

- Video “Computing variables” split into three new videos: “Computing means,” “Computing z-scores,” and “Transforming scores to categories.”
- Video “Linear regression” revised and split into three videos: “Linear regression,” “Variable entry,” and “Regression diagnostics.”
- Several additional videos revised to reflect updated options in jamovi or to remove video glitches.

### 11 January 2019

- Video “Filtering cases” revised to include the ability to use functions within filters.
- Video “Exporting tables & plots” revised to include new export options for Mac and demonstrate additional export destinations.