Maxwell Roberts – författare

How do people make inferences? How do their reasoning processes differ and why? Methods of Thought attempts to answer these questions by looking in detail at the different reasoning strategies people apply, how these are acquired, how they are selected and how use of these strategies is influenced by individual and task properties. Focusing on empirical data and research into deductive reasoning tasks, this book summarizes current trends in the field and helps us to understand how individual differences in reasoning impact on other studies of higher cognitive abilities in humans. Contributors include researchers who have shown that people make deductions by using a variety of strategies, and others who have found that deductive reasoning problems provide a useful test-bed for investigating general theories of strategy development. Together, it is shown that these general theories derived from other domains have important implications for deductive reasoning, and also that findings by reasoning researchers have wider consequences for general theories of strategy development. This book will be of interest to anyone studying or working in the fields of reasoning, problem solving, and cognitive development, as well as cognitive science in general.

How do people make inferences? How do their reasoning processes differ and why? Methods of Thought attempts to answer these questions by looking in detail at the different reasoning strategies people apply, how these are acquired, how they are selected and how use of these strategies is influenced by individual and task properties. Focusing on empirical data and research into deductive reasoning tasks, this book summarizes current trends in the field and helps us to understand how individual differences in reasoning impact on other studies of higher cognitive abilities in humans. Contributors include researchers who have shown that people make deductions by using a variety of strategies, and others who have found that deductive reasoning problems provide a useful test-bed for investigating general theories of strategy development. Together, it is shown that these general theories derived from other domains have important implications for deductive reasoning, and also that findings by reasoning researchers have wider consequences for general theories of strategy development. This book will be of interest to anyone studying or working in the fields of reasoning, problem solving, and cognitive development, as well as cognitive science in general.

In the investigation of human behaviour, statistical techniques are employed widely in the social sciences. Whilst introductory statistics courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis of Variance (ANOVA) has become one of the most common of these and it is therefore essential for both student and researcher to have a thorough understanding of it.A Student''s Guide to Analysis of Variance covers a range of statistical techniques associated with ANOVA, including single and multiple factor designs, various follow-up procedures such as post-hoc tests, and how to make sense of interactions. Suggestions on the best use of techniques and advice on how to avoid the pitfalls are included, along with guidelines on the writing of formal reports.Introductory level topics such as standard deviation, standard error and t-tests are revised, making this book an invaluable aid to all students for whom ANOVA is a compulsory topic. It will also serve as a useful refresher for the more advanced student and practising researcher.

In the investigation of human behaviour, statistical techniques are employed widely in the social sciences. Whilst introductory statistics courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis of Variance (ANOVA) has become one of the most common of these and it is therefore essential for both student and researcher to have a thorough understanding of it.A Student''s Guide to Analysis of Variance covers a range of statistical techniques associated with ANOVA, including single and multiple factor designs, various follow-up procedures such as post-hoc tests, and how to make sense of interactions. Suggestions on the best use of techniques and advice on how to avoid the pitfalls are included, along with guidelines on the writing of formal reports.Introductory level topics such as standard deviation, standard error and t-tests are revised, making this book an invaluable aid to all students for whom ANOVA is a compulsory topic. It will also serve as a useful refresher for the more advanced student and practising researcher.