Essential Guide To Effect Sizes Statistical Power Meta Analysis And The Interpretation Of Research Results Interloan 381221

ESSENTIAL GUIDE TO EFFECT SIZES - STATISTICAL POWER, META-ANALYSIS, AND THE INTERPRETATION OF RESEARCH RESULTS (INTERLOAN 381221).

MadMethods 1-3

Three books in one! Get the entire MadMethods series in this special edition for one low price! 1. Effect Size Matters: Learn how to do research that matters and get results that make sense. This plain-English guide will show you how to the answer the dreaded "So what?" question. It will teach you how to interpret the substantive or practical significance of your results and convey them in ways that are meaningful to stakeholders. 2. Statistical Power Trip: Many studies lack the statistical power to find effects. This jargon-free guide will show you how to boost the power of underpowered research and design studies that succeed. Learn how to calculate sample sizes and boost your funding prospects with power analyses that dazzle. 3. Meta-Analysis Made Easy: Will your research make a unique contribution? Or are you reinventing the wheel? Using examples proven in the field and tested in the classroom, this quick guide to meta-analysis will show you how to draw conclusions even from inconclusive studies. It will help you discover patterns of meaning in disparate research and uncover gold mines for further research. What readers are saying: ★★★★★ "Who knew statistics was this interesting? I learned a lot!" ★★★★★ "I was impressed by the clarity (and very amusing examples) in this text." ★★★★★ "Some people write to impress and others to instruct. This book is for instruction." ★★★★★ "Exceptionally lucid overview of power analysis, effect sizes, and sample size calculations." ★★★★★ "The clearest presentation of three complex and important subjects." ★★★★★ "An easy read on a complex topic. Great resource!" ★★★★★ "Clearly explains the concepts behind statistical mechanics." ★★★★★ "Easy to read, understand, and follow." Get your copy now.

Meta Analysis

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts – The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This is a coherent introduction to the statistical concepts required to understand the authors’ thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.