Practical guidance on the design and application of campus change strategies for achieving equitable outcomes.

Most books on statistics share too much information for practitioners, overwhelming them and making it difficult to discern what they need to know. Student Affairs professionals need to know how to design a study, collect data, analyze data, interpret results, and present the results in an understandable manner. This book will begin by establishing the need for these skills in student affairs and then quickly move to how to develop a research culture, how to conduct research, how to understand statistics, and concluding with how to change our research/assessment behaviors in order to make higher education better for students.

Duhigg takes us to the thrilling edge of scientific discoveries that explain why habits exist and how they can be changed.

Daniel Kahneman, world-famous psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the profound effect of cognitive biases on everything from playing the stock market to planning our next vacation--each of these can be understood only by knowing how the two systems shape our judgments and decisions. He offers practical and enlightening insights into how choices are made in both our business and our personal lives--and how we can use different techniques to guard against the mental glitches that often get us into trouble.

This book is designed to equip students to navigate through MS Excel and basic data computation methods, which are essential tools in research or professional settings and in classrooms.With illustrations and examples, it will help the readers to: Visualize, present, and analyze data through MS Excel spreadsheets and tables and create personal or business spreadsheets

Cutting edge strategies for thinking about data science and data ethics through an intersectional feminist lens. Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

We need only scan a newspaper or magazine, turn on a news broadcast, or open a sociology text or journal to see that we live in an age that is heavily dependent on statistical information. The extent this dependency is such that it is rather difficult to be an educated person without having at least a passing acquaintance with basic statistics. More to the point, it is virtually impossible to be a capable social scientist without having a definite, if elementary, understanding of some basic statistics and statistical methods of analysis. But a casual acquaintance with a few simple statistics will not serve the social scientist who attempts to read competently the literature of the field. And if one wishes to do quantitative social research--and most research published today is quantitative--a more thorough knowledge of statistics is imperative. The aspiring sociologist need only examine the books and articles that are being published today for evidence of this claim. A very large portion of the articles published in the major sociology journals use some form of statistical analysis. Some of these articles and other works published sociologists are incomprehensible without a statistics background; others will simply be read less intelligently or with a lessened sense of appreciation or criticism.

Chapter 3, entitled "Mutant Statistics: Methods for Mangling Numbers" can be found here: https://ebookcentral.proquest.com/lib/wayne/reader.action?docID=1021173&ppg=40