These resources were created to compliment our undergraduate statistics lab manual, Applied Data Analysis in Psychology: Exploring Diversity with Statistics, published by Kendall Hunt publishing company. Like our lab manual, these JASP walk-through guides meaningfully and purposefully integrate and highlight diversity research to teach students how to analyze data in an open-source statistical program. The data sets utilized in these guides are from open-access databases (e.g., Pew Research Center, PLoS One, ICPSR, and more). Guides with step-by-step instructions, including annotated images and examples of how to report findings in APA format, are included for the following statistical tests: independent samples t test, paired samples t test, one-way ANOVA, two factor ANOVA, chi-square test, Pearson correlation, simple regression, and multiple regression.

Quantitative Research Methods for Political Science, Public Policy and Public Administration for Undergraduates: 1st Edition With Applications in Excel is an adaption of Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R). The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. This new version is designed specifically for undergraduate courses. It omits large portions of the original text that focused on calculus and linear algebra, expands and reorganizes the content on the software system by shifting to Excel and includes guided study questions at the end of each chapter.

Quantitative Research Methods for Political Science, Public Policy and Public Administration for Undergraduates: 1st Edition With Applications in R is an adaption of Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R). The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. This new version of the text omits large portions of the original text that focused on calculus and linear algebra, expands and reorganizes the content on the software system R and includes guided study questions at the end of each chapter.

A free, brief textbook to introduce students to the core concepts of empirical social science research methods, available in PDF (main download link below) and EPUB (additional file below). This textbook has been used as the main textbook in an undergraduate social science research methods course (supplemented by many in-class exercises and research reports) and as the basis of a review in preparation for graduate-level study in research methods and program evaluation.

Contents: (1) Identifying the research question (and an aside about theory); (2) Conceptualizing and operationalizing (and sometimes hypothesizing); (3) Data collection structured by formal research designs; (3.1) Sampling; (3.2) Data collection methods; (3.3) Formal research designs; (4) Data analysis; (5) Generalizing and theorizing; (6) Evaluating research: Validity and reliability; (7) Research ethics; (8) Appendix A: More research designs; (9) Appendix B: Elaboration modeling; (10) Appendix C: Research Methods Glossary.

A note to instructors: If you use this text in any way, whether as the primary text, a supplemental text, or a recommended resource, I ask only two small favors: (1) When you make it available to students, please always include a link back to the text’s download site, https://scholar.utc.edu/oer/1/. While you are free to download and distribute the text intact under the Creative Commons 4.0 license, my preference is that you point students to this website to download it themselves. Seeing the download numbers tick up is a treat, and I plan to add additional appendices over time, so the download file will be updated occasionally. (2) Please send me a quick email at Christopher-Horne@utc.edu letting me know you’re using it. I certainly welcome your feedback as well. Thank you, and best wishes for successful research methods instruction.