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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)Licensing
The licensing for this textbook changes based on the webpage (sub-section). As most of the textbook was modified from Foster et al. (2021), much of the textbook is CC-BY-NC-SA (a Creative Commons license that allows anyone to use the information for non-commercial purposes and the user must license the modified work in the same way). Most of the other authors’ work is licensed as CC-BY-SA (a Creative Commons license allowing use that requires that any modifications of the current work is licensed in the same way).
Homework
Homework for the first edition of this textbook housed in Canvas Commons (search PSYC 2200). Dr. MO created worksheets that can be answered via Canvas Quizzes, while other faculty have since created other homework ancillaries for the first edition of this textbook. In the worksheets designed by Dr. MO, more questions were provided than might be reasonable for a student to complete for one assignment in order for faculty to have options to “mix and match” questions to create their own worksheets and Canvas quizzes. This variety will provide a better fit for you and your class, as well as reduce the likelihood of your exact homework leaking into the hands of the internet. If this worksheet quiz format or the data sets don't work for you, there are full courses for behavioral statistics on Canvas Commons that provide quizzes or labs (for this textbook, and in general). You can also look into MyOpenMath, or the Query or ADAPT functions in LibreTexts.
If you want to use any of these options with your own data, or want to create new assignments, below is a list of some sites with free datasets. These are not really in any order, but I did use the data from OpenIntro.org.
- Openly-licensed data sets: https://www.openintro.org/data/
- Open Stats Lab from Psychological Science: https://sites.google.com/view/openstatslab
- Datasets on Google: https://datasetsearch.research.google.com/
- Blog explaining the process: https://www.blog.google/products/search/making-it-easier-discover-datasets/
- Lab manual for Crump Answering Questions with Data textbook: (https://crumplab.github.io/statistics/index.html): https://crumplab.github.io/statisticsLab/
- You can just grab the data, or use the whole lab manual.
- Data set for teaching and learning at North Carolina State library: https://www.lib.ncsu.edu/teaching-and-learning-datasets
- Forbes’ Big Data list: https://www.forbes.com/sites/bernardmarr/2016/02/12/big-data-35-brilliant-and-free-data-sources-for-2016/#76e598b0b54d
- Cengage data sets: http://college.cengage.com/mathematics/brase/understandable_statistics/7e/students/datasets/tvds/frames/frame.html
- http://users.stat.ufl.edu/~winner/datasets.html
- Health data at University of Florida : https://people.clas.ufl.edu/winner/miscellaneous-datasets/
- National Opinion Research Center’s General Social Survey: http://sda.berkeley.edu/sdaweb/analysis/?dataset=gss14 or www.tinyurl.com/generalsocialsurvey
- PsyToolkit is a free-to-use toolkit for demonstrating, programming, and running cognitive-psychological experiments and surveys, but also might have data from others’ research: https://www.psytoolkit.org/
- Race IAT: https://osf.io/g7cw8/
- APA maintains an Online Psychology Laboratory, in which you can have your students engage in experiments, or have them use available data for anaylsis: https://opl.apa.org/
Book Features
Units
The first edition of this textbook was originally organized into units with some Examples and Exercises based on a theme for each unit. The potential units and themes are as follows:
- Unit 1: Description theme is student success
- Unit 2: Mean Differences theme is growth mindset
- Unit 3: Relationships theme is nutrition
- Unit 4: Wrap-Up theme is future careers
Future editions will break Unit 2 into two units, one based on t-tests and one based on ANOVAs. If you have data that would be good to work with for ANOVAs, please send it to Dr. MO! In particular, she's interested in data that BIPOC students would find interesting and has a strengths focus (not a deficit lens).
Notation
Many of the formulas and notation in this textbook are intentionally mathematically incorrect. Although you and I may know what they mean, adding a bunch of subscripts and extra symbols can confuse students. In this introductory textbook, the notations and formulas were chosen to be easy to understand for students new to mathematical equations, rather than to be 100% mathematically correct.
Articulation
This book was compiled to fulfill the requirements of the Course Identification descriptor (C-ID) for Math 110 for the California Community Colleges and Taft College’s Course Outline of Record for PSYC 2200 (Elementary Statistics for the Behavioral and Social Sciences).
Additional Textbooks
This textbook is a compilation of Dr. MO’s own work with a lot of support from several CC-BY-SA or CC-BY-NC-SA textbooks on LibreTexts website, including:
- Foster, G. C., Lane, D., Scott, D., Hebl, M., Guerra, R., Osherson, D., & Zimmer, H. (2021). An Introduction to Psychological. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/7077
- Navarro, D. (2020). Learning Statistics with R - A tutorial for Psychology Students and other Beginners. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/3936
- Crump, M. J. C. (2021). Answering Questions with Data - Introductory Statistics for Psychology Students. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/7883
Additional textbooks that might be useful are:
- Poritz, J. A (2021). Lies, Damned Lies, or Statistics - How to Tell the Truth with Statistics (Poritz). Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/7784
- Illowsky, B., & Dean, S. (2019). Book: Introductory Statistics (OpenStax) With Multimedia and Interactivity. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/6885
Finally, this support course to help statistics students with basic math is also listed in Learning (Statistic) section of this textbook: Green, L. (2021). Support Course for Elementary Statistics. Retrieved July 3, 2021, from https://stats.libretexts.org/@go/page/4710
Enjoy!