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Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results. Makes abundant use of charts, diagrams and figures. Assumes no prior knowledge of statistics. Invaluable to all psychology students needing a firm grasp of the basics, but tackling of some of the topic’s more complex, controversial issues will also fire the imagination of more ambitious students. Covers different aspects of experimental design, including dependent versus independent variables, levels of treatment, experimental control, random versus systematic errors, and within versus between subjects design. Provides detailed instructions on how to perform statistical tests with SPSS. Downloadable instructor resources to supplement and support your lectures can be found at www.blackwellpublishing.com/sani and include sample chapters, test questions, SPSS data sets, and figures and tables from the book.
Quantitative Psychological Research: The Complete Student's Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research. Accessibly written and clearly presented, the book is designed for anyone learning to conduct quantitative psychological research as well being a reference work for professional psychologists. It covers the full research process, from the original idea to reporting the completed study, emphasizing the importance of looking beyond statistical significance in evaluating data. The book provides step...
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This book expertly guides the reader through all stages involved in undertaking quantitative psychological research, from accessing the relevant literature, through designing and conducting a study, analysing and interpreting data, and finally reporting the research. This third edition includes two new chapters - on preliminary checking of data and allowing for additional variables when comparing the means of different conditions - and expands on original topics such as choosing sample sizes and how to test for mediation effects. It also contains increased coverage of tests and further detail of techniques and terms which psychologists will meet when working with those in the medical profess...
Statistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers. ANOVA is the most frequently used technique when handling the outcomes of research designs with more than two treatments or groups. This technique is used in all parts of linguistics which deal with observations obtained in survey studies and in (quasi-)experimental research, like applied linguistics, psycholinguistics, sociolinguistics, language and speech pathology and phonetics. Most statistical textbooks in the social sciences take examples typical of their own field and, in addition, omit subjects which are particularly relevant for language...
How are romantic and erotic relationships between women represented in the literature of the long eighteenth century? How does Sapphism surface in other contemporary discourses, including politics, pornography, economics and art? After more than a generation of lesbian-gay scholarship that has examined identities, practices, prohibitions and transgressions surrounding same-sex desire, this collection offers an exciting and indispensable array of new scholarship in gender and sexuality studies. The contributors - who include noted writers, critics and historians such as Emma Donoghue, George E. Haggerty, Susan S. Lanser and Valerie Traub - provide varied and provocative research into the dyna...
This book constitutes the Proceedings of a meeting held in Pugwash, Nova Scotia, 18-20 July 1989, which was the eighteenth in a series of Workshops on Nuclear Forces held in the framework of the Pugwash Conferences on Science and World Affairs.
This book is a practical guide to help researchers draw valid causal inferences from small-scale clinical intervention studies. It should be of interest to teachers of, and students in, courses with an experimental clinical component, as well as clinical researchers. Inferential statistics used in the analysis of group data are frequently invalid for use with data from single-case experimental designs. Even non-parametric rank tests provide, at best, approximate solutions for only some single-case (and small-n ) designs. Randomization (Exact) tests, on the other hand, can provide valid statistical analyses for all designs that incorporate a random procedure for assigning treatments to subjec...
This edition has been expanded to include new chapters describing methods and examples of particular interest to medical researchers It takes a very practical approach, aimed at enabling readers to begin using the methods to tackle their own problems.
This book is about the work of two psychiatrists in a village called Kota in the South Kanara District of the Karnataka State in India. The objective of the research was to study the prevalence and patterns of mental disorder in the community setting. Kota has a small population of Muslims and Christians, but the majority are Hindu. The book describes the way this was achieved, with the aim of facilitating better mental health care for rural populations.