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Introduction to Statistics in Psychology4th edition is the complete guide to statistics for psychology students. Its range is exceptional in order to meet student needs throughout their undergraduate degree and beyond. By keeping to simple mathematics, step by step explanations of all the important statistical concepts, tests and procedures ensure that students understand data analysis properly. Pedagogical features such as ‘research design issues’, ‘calculations’ and the advice boxes help structure study into manageable sections whilst the overview and key points help with revision. Plus this 4th edition includes even more examples to bring to life how different statistical tests can be used in different areas of psychology.
Introduction to Research Methods in Psychology, secondedition,provides clear, comprehensive and innovative coverage of quantitative and qualitative research methods for psychology students throughout their studies. In this essential text for psychology students, the research process is broken down into manageable steps to equip students with the skills to ask intelligent research questions, carry out a literature review, choose an appropriate research design, carry out data collection and write up their findings. Throughout the book research examples are discussed which offer an insight into how research advances our understanding in areas such as forensic, social, educational, and abnormal psychology.
Both students and professionals are increasingly reliant on computers for the analysis of data. This accessible introduction to statistics using the program Minitab assumes no prior knowledge of statistics or computing, and has details of the different versions and options available. It also explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Ranging from chi-square and the t test to analysis of covariance and multiple regression, Duncan Cramer covers a wide choice of statistics, including tests not found in other introductory texts, such as tests for determining whether correlations differ and the extent of agreement between observers. Important statistical points are illustrated with worked numerical examples, and exercises are provided at the end of chapters.
In one of the great euphemisms of our time, an embattled President Clinton admitted to an "inappropriate relationship" with his White House intern, Monica Lewinsky. But what exactly is an "inappropriate relationship?" For that matter, what is an "appropriate relationship?" And how can an understanding of the rules of "appropriateness" help us understand personal relationships in our modern world? Contributors to this book discuss the personal boundaries and taboos of modern relationships. Together they examine the power struggles that can occur when individuals are involved in "inappropriate" relationships, and the ways individuals in such a relationship may attempt to buffer themselves against sanctions--or even embrace this relationship as an agent of social change. Representing work from a range of disciplines, this collection will appeal to scholars, researchers, students, and professionals working on relationships issues in areas across the social sciences, including those working in the fields of social psychology, family studies, social anthropology, cultural studies, and communication.
This accessible introduction to statistics using the program SPSS for Windows explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Keeping statistical symbols and formulae to a minimum and using simple examples, this book: * assumes no prior knowledge of statistics or computing * includes a concise introduction to the program SPSS for Windows * describes a wider range of tests than other introductory texts * contains a comprehensive range of exercises with answers Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable introductory statistics text for students, and a useful resource for graduates and professionals engaged in research in the social sciences.
The SAGE Dictionary of Statistics provides students and researchers with an accessible and definitive resource to use when studying statistics in the social sciences, reading research reports and undertaking data analysis.
Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version. Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises. Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.
First Steps in Research and Statistics is a new, very accessible approach to learning about quantitative methods. No previous knowledge or experience is assumed and every stage of the research process is covered. Key topics include: * Formulating your research questions * How to choose the right statistical test for your research design * Important research issues, such as questionnaire design, ethics, sampling, reliability and validity * Conducting simple statistics to explore relationships and differences in your data * Using statistics to explore relationships and differences in your data * Writing up your research report and presenting statistics Simple and helpful worksheets and flow diagrams guide you through the research stages. Each chapter contains exercises with answers to check whether you've understood.
This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: Non-parametric tests Correlation Simple and multiple regressio...