## Journal of Interdisciplinary Perspectives and Scholarship

# Volume 8 (2022)

In Volume 8 of the Journal of Interdisciplinary Perspectives and Scholarship, USF Jamovi Tutorial Project: An Open Education Resource, we created 27 tutorials to learn and use Jamovi (https://www.jamovi.org/about.html), an open source statistical software. The tutorials include guided videos and written tutorials introducing features of Jamovi required to carry out statistical tasks most likely covered in undergraduate level psychology courses such as Psychological Statistics, Research Design, and Advanced Research Methods. Several advantages of using Jamovi are the following: is open-access, intuitive, and it provides a no cost alternative to other statistical software. Other benefits include: simple downloading process, reliability, and low computer memory consumption. Over the past year, we pilot-tested our tutorials across two undergraduate courses (Statistics and Advanced Research Methods). A summary of students' responses (N = 41) indicates a high level of satisfaction in using the tutorials to learn Jamovi. Results can be found here. A special thanks to the following undergraduate students involved in creating and editing the videos: Sage Stefanick, Erica Divinigracia, and Adolfo Barreles.

Tutorial 1: Introduction to Data File for Use with JAMOVI Tutorials

Aline Hitti and Saera R. Khan

Tutorial 2: Introduction to Jamovi

Aline Hitti and Saera R. Khan

Tutorial 3: Producing R Scripts & Adding Modules

Aline Hitti and Saera R. Khan

Tutorial 4: Opening, Creating, and Importing Datafiles

Aline Hitti and Saera R. Khan

Tutorial 5: Computing Variables

Aline Hitti and Saera R. Khan

Tutorial 6: Recoding Variables

Aline Hitti and Saera R. Khan

Tutorial 7: Creating Composite Scores

Aline Hitti and Saera R. Khan

Tutorial 8: Cronbach's Alpha and Reliability Analysis

Aline Hitti and Saera R. Khan

Tutorial 9: Splitting Ordinal/Continuous Variables (2 categories)

Aline Hitti and Saera R. Khan

Tutorial 10: Splitting Ordinal/Continuous Variables (3 categories)

Aline Hitti and Saera R. Khan

Tutorial 11: Reducing Number of Categories in Nominal Variables

Aline Hitti and Saera R. Khan

Tutorial 12: Using a Filter to Select Cases

Aline Hitti and Saera R. Khan

Tutorial 13: Frequencies and Descriptives

Aline Hitti and Saera R. Khan

Tutorial 14: Frequency Graphs

Aline Hitti and Saera R. Khan

Tutorial 15: Exploring Data - Skewness & Normality

Aline Hitti and Saera R. Khan

Tutorial 16: Crosstabs

Aline Hitti and Saera R. Khan

Tutorial 17: One Sample t-test

Aline Hitti and Saera R. Khan

Tutorial 18: Independent Samples t-test

Aline Hitti and Saera R. Khan

Tutorial 19: Paired Samples t-test

Aline Hitti and Saera R. Khan

Tutorial 20: One Way ANOVA - Analysis of Variance

Aline Hitti and Saera R. Khan

Tutorial 21: Planned Contrasts and Post-hoc Contrasts with One Way ANOVA

Aline Hitti and Saera R. Khan

Tutorial 22: Two Way ANOVA - Analysis of Variance

Aline Hitti and Saera R. Khan

Tutorial 23: Contrasts for Two Way ANOVA

Aline Hitti and Saera R. Khan

Tutorial 24: Bivariate Correlations and Scatter Plots

Aline Hitti and Saera R. Khan

Tutorial 25: Single Variable Linear Regression

Aline Hitti and Saera R. Khan

Tutorial 26: Chi Square Tests - Goodness of Fit

Aline Hitti and Saera R. Khan

Tutorial 27: Chi Square Tests - Test of Association

Aline Hitti and Saera R. Khan