BOOKS & RESOURCES
How to Run Essential Analyses in R Studio: For First Year Undergraduate Students with No Background in Programming
Author: Naren D. Selvaratnam
About the book:
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R is one of my go-to software for data analysis. Since SPSS does not offer some high-end analysis for us on a Macintosh operating system, I was always on the lookout for a better alternative. I have used JASP and JAMOVI as well. However, the degree to which it could assist me with various forms of statistical modeling is minimal. Unlike SPSS, R is more flexible and offers quite a lot of customization for researchers. At first, I was intimidated by R, but, slowly, I managed to learn the basics to help me run most of the analysis required to teach my undergraduate students. I am still learning R and the different packages it offers.
Published by: DHC
How to Run Essential Analyses in R Studio, 2nd ed.
Author: Naren D. Selvaratnam
About the book:
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"In the previous edition of this book "How to run essential analyses in R: For first year undergraduate students with limited background in programming" the objective was to get students to understand the basics of R programming. As a result, I have only included basic descriptive analyses, visualisations, and correlations in the first edition. In this second edition, you will find the same introductory concepts and in-depth elaborations on reliability, validity, factor analysis, exploratory factor analysis, and item response theory. I have also included a few sample scenarios to elaborate more on the application of psychometrics in psychological research and two more bonus lessons on simple linear regression and confirmatory factor analysis.
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To get the maximum out of this book, I have divided this book into 3 noticeable sections. Pat A introduces you to basic descriptive statistics and correlation (this entails basics for you to fully make sense of factor analysis). In Part B, I show you exploratory factor analysis and how to achieve the required analyses using R Studio. In Part C, you learn the basics of the IRT and some comprehensive set of analyses using IRT model. There are many IRT models and covering all of them is not the objective of this book. Taking that into consideration, I have included a practical example of running a graded response model (GRM) with narrative introductions to other basic and slightly complex IRT models." - Author
Published by: DHC