Psychology Statistics For Dummies

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The primary way the text is organized is by chapter, with each chapter covering a different topic. Since it is a *.pdf the easiest way for the instructor to make it modular is with a *.pdf editor. This is not provided by the authors. 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. Variables apply to experimental investigations. The independent variable is the variable the experimenter manipulates or changes. The dependent variable is the variable being tested and measured in an experiment, and is 'dependent' on the independent variable. Psychology students often find statistics courses to be different from their other psychology classes. There are some distinct differences, especially involving study strategies for class success. The first difference is learning a new vocabulary—it is similar to learning a new language. Knowing the meaning of certain words will help as you are reading the material and working through the problems. Secondly, practice is critical for success; reading over the material is not enough. Statistics is a subject learned by doing, so make sure you work through any homework questions, chapter questions, and practice problems available. Statistical knowledge gives you a set of skills employable in graduate school and the workplace. Data science is a burgeoning field, and there is practical significance in learning this material. The statistics presented in this book are some of the most common ones used in research articles, and we hope by the end of this OER you’ll feel comfortable reading (and not skipping!) the results section of an article. This work is broken into 14 chapters, covering the fundamentals of statistics, and hypothesis testing. Online Statistics Education: A Multimedia Course of Study ( http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

Psychology Statistics For Dummies | Wiley

Digital Reads A Curse For True Love : the thrilling final book in the Once Upon a Broken Heart seriesCENTER 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. I believe the authors had a logical flow to their presentation of material. They have also designed the text (as in the above comment) in a way so that pieces can be moved around to cater to the instructor. In addition, you'll have access to Kortext's smart study tools including highlighting, notetaking, copy and paste, and easy reference export.

Psychology Statistics For Dummies - Donncha Hanna, Martin Psychology Statistics For Dummies - Donncha Hanna, Martin

Quantitative data is numerical information about quantities and qualitative data is descriptive and regards phenomena that can be observed but not measured, such as language. This book is organized into Units, which are broken down into chapters. The unit and chapter organization makes sense for coverage of the material. In my introductory statistics course we do not cover linear regression, so I cover correlation earlier in my class. Since correlation is grouped into the Unit 3 (Additional Hypothesis Tests) it makes it a little more difficult to move out of this section and integrate elsewhere, but it is not a major concern for me. 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. 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 bad news first: if you want a psychology degree you'll need to know statistics. Now for the good news: Psychology Statistics For Dummies. Featuring jargon-free explanations, step-by-step instructions and dozens of real-life examples, Psychology Statistics For Dummies makes the knotty world of statistics a lot less baffling. Rather than padding the text with concepts and procedures irrelevant to the task, the authors focus only on the statistics psychology students need to know. As an alternative to typical, lead-heavy statistics texts or supplements to assigned course reading, this is one book psychology students won't want to be without.Analyse by inference - master key methods in inferential statistics, including techniques for analysing independent groups designs and repeated-measures research designs I didn't see anything offensive in anyway, but there was no intentionality in using psych examples or cross-cultural examples either. A "file MD5" is a hash that gets computed from the file contents, and is reasonably unique based on that content. All shadow libraries that we have indexed on here primarily use MD5s to identify files.

Statistics in the Psychological Sciences Introduction to Statistics in the Psychological Sciences

An Introduction to Psychological Statistics ( https://irl.umsl.edu/oer/4/). Garett C. Foster, University of Missouri–St. Louis. 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.

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. I would have liked sections in the text explaining how the results would have been presented in an APA format write-up. I think that would add context for students to see how these results are used beyond running numbers, and this also allows them better understanding of how all the parts of the analysis fit together - descriptive statistics, hypothesis testing, effect size, and confidence intervals. I believe most statistics texts include this information. Cons: Ideally the symbols for mean and standard deviation would be the ones specified in APA format, but his text uses X bar instead of M for sample mean and S instead of SD for sample standard deviation. Only the derivation formula for sum of squares is provided, and not the computation formula. Chi square goodness-of-fit model offered in chapter assumes an equal frequency across cells, rather than matching proportions to those in a known population. The formula notation for chi-square is not what I’m used to seeing. There are no complete tables (partial tables are embedded within the chapters) – so you would need to link to another OER for that. That said, the tables are probably more appropriately placed in a particular chapter and not in the Appendix. I use a lot of “word problems” in statistics (summaries of real studies so that students can work on identifying DV, IV, writing hypotheses, in addition to computing the statistical tests. Overall there are about 10-12 end-of-chapter problems for each chapter and not many are word problems, so I will need to supplement. There are no instructor resources, test banks, etc. If you have taught statistics for awhile you have probably developed your own resources (i.e., Powerpoints, test questions, homework questions, word problems for in class exercises) but if you are just starting out this probably isn’t the OER for you. 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. 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.

Statistics For Dummies Cheat Sheet Statistics For Dummies Cheat Sheet

Helpful when you're in a bind of understanding, but being the only 'for dummies' book I've ever referred to, I imagine stats what they're all like. They'll simplify stuff enough to get you through, but to be honest, the subject is pretty dry... In all honest, I’ve found this to be one of the most useful books in the subject, which really surprised me. My friend brought this to a revision session prior to our exam and everyone was using it, finding it way more helpful than a number of other suggested reads. Honestly, I never expected it to be so good.Organization is good and is fairly standard for the flow of a stats class. Personally, I'd prefer to start with correlation and regression, but how it is works. The book is well-written (i.e., clear, concise, engaging). It is appropriate for an undergraduate taking their first statistics course. 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. 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.