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: Equal intervals: This means that a unit difference on the measurement scale is the same regardless of where that unit difference occurs on the scale. 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 I don’t see any cultural bias in the text or exercises sets. Although not necessarily cultural, I like how this text is inclusive to those with color deficiencies. For example, when describing a graph with multiple colored lines, the authors also reference the position of each line on the graph. This is not only useful for those with color deficiencies but also for those who read the text on an e-reader that doesn’t have color. I didn't see anything offensive in anyway, but there was no intentionality in using psych examples or cross-cultural examples either.

Statistics All-in-One For Dummies Statistics All-in-One For Dummies

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. 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.

These three measurement properties enable you to classify the level of measurement of a variable into one of four types: Online Statistics Education: A Multimedia Course of Study ( http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University. Analyse this - get up to speed on statistical analysis core concepts, such as probability and inference, hypothesis testing, distributions, Z-scores and effect sizes Introduction to Statistics in the Psychological Sciences provides an accessible introduction to the fundamentals of statistics, and hypothesis testing as need for psychology students. The textbook introduces the fundamentals of statistics, an introduction to hypothesis testing, and t Tests. Related samples, independent samples, analysis of variance, correlations, linear regressions and chi-squares are all covered along with expanded appendices with z, t, F correlation, and a Chi-Square table. The text includes key terms and exercises with answers to odd-numbered exercises. This book focuses on calculations but does not use the computational formula for sum of squares. I think this makes it more difficult for students to avoid making computational errors and it makes the calculations more difficult.

Psychology Statistics For Dummies - Booktopia Psychology Statistics For Dummies - Booktopia

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. The book is well-written (i.e., clear, concise, engaging). It is appropriate for an undergraduate taking their first statistics course. In Chapter 2, there are graphs with iMacs from the 1990s. I've seen this graphic in other texts and it always throws me off because most students were not yet born when these computers were out. Also, I've found that psych stats books don't actually have examples from psychology. This book is no exception. Very few examples, if any, that I came across were from the psychological sciences. Interval: If you measure a variable at the interval level of measurement, it has the measurement properties of magnitude and equal intervals.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

Psychology Statistics For Dummies: Donncha Hanna, Martin

An Introduction to Psychological Statistics ( https://irl.umsl.edu/oer/4/). Garett C. Foster, University of Missouri–St. Louis. 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.The standard deviation (often abbreviated to Std. Dev. or SD) is the average deviation of scores in your data set from their mean score for a particular variable. The mean score is the average of scores on a variable. The standard deviation indicates the extent to which the scores on a variable deviate from the mean score.

Psychology Statistics For Dummies (PDF eBook) - JS Group

This work was created as part of the University Libraries’ Open Educational Resources Initiative at the University of Missouri–St. Louis.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. Reviewed by Scott Frankowski, Assistant professor, University of Texas Rio Grande Valley on 11/15/22 True absolute zero: The true absolute zero point means that the zero point on the measurement scale is the point where nothing of the variable exists and, therefore, no scores less than zero exist. In some cases, you refer to variables as independent variables even when you’re not directly manipulating them. This type of independent variable is a quasi-independent variable. Dependent variables