With indispensable advice for students from all social science backgrounds, this handbook provides the core conceptual and practical skills to embark on succesful research. The organization of the book reflects the knowledge that is required in order to become a competent and effective researcher. It follows the life-cycle of the research project: it begins with a discussion of ethical and philosphical issues; presents guides to both quantitative and qualitative data collection and analysis; provides help on using computers in research; and includes advice on how to write up and present a research project. Based on the UK Economic and Social Research Council advice on the training which students should undertake in preparation for postgraduate research, this book will be invaluable for all beginning researchers.

This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions. It explains how to enhance the authenticity of research by estimating the sample size and reporting the power of the tests used. Further, it discusses the issue of sample size determination in survey studies as well as in hypothesis testing experiments so that readers can grasp the concept of statistical errors, minimum detectable difference, effect size, one-tail and two-tail tests and the power of the test. The book also highlights the importance of fixing these boundary conditions in enhancing the authenticity of research findings and improving the chances of research papers being accepted by respected journals. Further, it explores the significance of sample size by showing the power achieved in selected doctoral studies. Procedure has been discussed to fix power in the hypothesis testing experiment. One should usually have power at least 0.8 in the study because having power less than this will have the issue of practical significance of findings. If the power in any study is less than 0.5 then it would be better to test the hypothesis by tossing a coin instead of organizing the experiment. It also discusses determining sample size and power using the freeware G*Power software, based on twenty-one examples using different analyses, like t-test, parametric and non-parametric correlations, multivariate regression, logistic regression, independent and repeated measures ANOVA, mixed design, MANOVA and chi-square.

How Many Subjects? is a practical guide to sample size calculations and general principles of cost-effective research. It introduces a simple technique of statistical power analysis which allows researchers to compute approximate sample sizes and power for a wide variety of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons, emphasized throughout the book, demonstrate important principles of design, measurement and analysis that are rarely discussed in courses or textbooks.

Describes the process of doing teacher action research and provides examples from teachers themselves. Textbook for pre-service and in-service teacher education courses. Includes suggested activities sections.

Continuing the case for free voluntary reading set out in the book's 1993 first edition, this new, updated, and much-looked-for second edition explores new research done on the topic in the last ten years as well as looking anew at some of the original research reviewed. Krashen also explores research surrounding the role of school and public libraries and the research indicating the necessity of a print-rich environment that provides light reading (comics, teen romances, magazines) as well as the best in literature to assist in educating children to read with understanding and in second language acquisition. He looks at the research surrounding reading incentive/rewards programs and specifically at the research on AR (Accelerated Reader) and other electronic reading products.

This insightful volume examines key research questions concerning police decision to arrest as well as police-led diversion. The authors critically evaluate the tentative answers that empirical evidence provides to those questions, and suggest areas for future inquiry. Nearly seven decades of empirical study have provided extensive knowledge regarding police use of arrest. However, this research highlights important gaps in our understanding of factors that shape police decision-making and what is required to alter current police practice. Reviewing this research base, this brief takes stock of what is known empirically about all aspects related to the use of arrests, providing important insights on the knowledge needed to make evidence-based policy decisions moving forward. With the potential to better impact policy and programs for alternatives to arrest, this brief will appeal to researchers and practitioners in evidence-based policing and police decision-making, as well as those interested in alternatives to arrest and related fields such as public policy.

Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments.