Psychology Statistics For Dummies

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You use hypothesis tests to challenge whether some claim about a population is true (for example, a claim that 40 percent of Americans own a cellphone). CENTER FOR OPEN EDUCATION | The Open Education Network is based in the Center for Open Education in the University of Minnesota’s College of Education and Human Development. Support authors: If you like this and can afford it, consider buying the original, or supporting the authors directly. Donncha Hanna, PhD is a psychology lecturer at Queen's University Belfast whose primary teaching responsibilities include statistics and research methods. Martin Dempster, PhD is a health psychologist and the research coordinator for the Doctorate in Clinical Psychology programme at Queen's University Belfast. You determine the most appropriate measure of dispersion as follows, depending on the nature of your data:

Psychology Statistics For Dummies Cheat Sheet (UK Edition)

The measures of dispersion you use in psychology statistics show you the spread or variability of the variable you are measuring. The three main ones are the range, the interquartile range, and the standard deviation. Getting to know the range, interquartile range, and standard deviation The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations and real-life examples, Psychology Statistics For Dummies makes the often-confusing world of statistics a lot less baffling, and provides you with the step-by-step instructions necessary for carrying out data analysis. The majority of the content in the text seems accurate. There is an error in the effect size formula for Chapter 9 - it shows the calculation for t instead of d. An Introduction to Psychological Statistics ( https://irl.umsl.edu/oer/4/). Garett C. Foster, University of Missouri–St. Louis. The is not indexed for a pdf reader making unusable for a course. Adding bookmarks to each chapter and chapter sub-sections would make the text much more usable.This textbook is as culturally inclusive as any statistics textbook. This is an area where the professor will want to supplement if they espouse the APA Guidelines for the Undergraduate Psychology Major 2.0. I recommend Kenneth Keith's book Culture Across the Curriculum as a starting point. Reviewed by Scott Frankowski, Assistant professor, University of Texas Rio Grande Valley on 11/15/22 MD5 of a better version of this file (if applicable). Fill this in if there is another file that closely matches this file (same edition, same file extension if you can find one), which people should use instead of this file. If you know of a better version of this file outside of Anna’s Archive, then please upload it. Overall the text seems consistent in terms of terminology and framework. There are some consistency issues between the chapters. In particular, some of the formulas can be difficult to read in how they are formatted - Chapters 6, 7 and 8 the formulas that include the standard error formula look odd (the fraction in the denominator), but in the other chapters the formulas look fine. The X-bar line is too long when showing the sample mean throughout the text.

Psychology Statistics For Dummies (PDF eBook) - JS Group

This textbook covers all of the material I cover in an intro psych stats class. I'd like to see a statistics software program integrated into the text - JASP or R would be great, keeping in line with being an OER. Statistics changes little over time, so this book can be a standard for years to come. If APA format needs to be adjusted or examples (in the text and end-of-chapter problems) need to be updated, that can be easily done. We currently use Gravetter & Walleneau and this book seems to cover nearly all of the same material. The main topic that this text does not cover is factorial ANOVA, which is an important and complex topic for undergraduates. However, our current book focuses solely on calculating Factorial ANOVA and not on interpreting main effects and interactions so I have to supplement our current book significantly, so it would not change my teaching approach. It provides the definitional formula for the standard deviation which I find more useful than other texts. Good table of contents but no index or glossary. This book seems like a very good OER option, so our current plan is adopt this text for next year.In general, the content was accurate. There were a few instances where the material was oddly worded or a confusing. For example, when covering hypothesis testing, an example claims that because temperature is allowed to vary 1 degree in either direction means that the standard deviation must be 1. This is not how standard deviation is defined and can be misleading to students. Later in the text, when interpreting a correlation of -1, the authors state “as X goes up by some amount, Y goes down by the same amount, consistently”. This is an inaccurate interpretation of correlation. X and Y are more than likely on different scales, so they would not change by the same amount. This is a very important distinction as correlation quantifies the relationship of standardized scores, while slope considers the scales of the variables. It was easy to single out one or two cases because the almost the entirety of the text is accurate. Some of the graphs appear to be formatted as would be a SPSS printout so it seems like presenting them as a computer output would be reasonable. After data has been collected, the first step in analyzing it is to crunch out some descriptive statistics to get a feeling for the data. For example: This text covers all the topics I would want to cover in my statistics course, but there is not an index and/or glossary. I believe having an index is so important for students as they may not even know in what chapter to reference a term so the index would be invaluable for them in finding information.

Psychology Statistics For Dummies (Paperback) - Waterstones Psychology Statistics For Dummies (Paperback) - Waterstones

Ease into statistics - start out with an introduction to how statistics are used by psychologists, including the types of variables they use and how they measure them Distribution of scores: For the purposes of choosing a measure of central tendency, you need to know whether any extreme scores exist in your data set (often called outliers) or whether the distribution of scores is skewed. When you determine the level of measurement of your variable of interest and whether or not there is skewness and/or extreme scores in your data set then you can determine the most appropriate measure of central tendency, as follows: The text was quite clear. The authors’ voices and senses of humor come out throughout the text making it a very enjoyable read. I did not notice any issues with terminology -- the topics build easily from each other and use previous knowledge to help students follow along. The text has distinct chapters and subheadings, and some reference to previous chapters is necessary in a statistics book. The book is not overly self-referential.When you conduct your statistical analyses on this data, you need to know what role each variable played in your research design. Generally speaking, you classify variables in psychology statistics as independent variables, dependent variables or covariates. Independent variables