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Essentials of Research Methods in Psychology

Price: $74.04

Essentials of Research Methods in Psychology by Jeannne S. Zechmeister, Eugene B. Zechmeister, and John J. Shaughnessy is designed to teach students the process of research (developing research ideas, forming a hypothesis, choosing a design, selecting the appropriate method, collecting, interpreting and reporting the results). A guide for the research process is introduced in the second chapter and reinforced as each method is introduced. The use of a consistent framework allows students to see the commonality of each method making the subsequent methods easier to learn. Essentials is based on the successful Research Methods in Psychology 5th edition text by the same authors. This text was completely rewritten in a more conversational style including the use of cartoons and insights from researchers describing how they conducted studies to appeal to students with little mathematical background. Case studies are used to show the use of appropriate methods and the ethical considerations inherent in the research process. This 250 page paperback text is ideal for a community college or for a four year university where brief coverage is desired. Read more...

RESEARCH METHODS IN PSYCHOLOGY

Study Guide for Zechmeister/Posavac's Data Analysis and Interpretation in the Behavioral Sciences

Data Analysis and Interpretation in the Behavioral Sciences (with InfoTrac)

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Zechmeister and Posavac's unique, progressive pedagogical framework presents students with a model of analysis and interpretation called "I-D-E-A". This cutting edge model leads students through the processes of data inspection (I), description (D), estimating (E) confidence in their results, and announcing (A) their findings. Their friendly writing style and systematic approach to statistics involves the student in the topics presented. The authors stress the important first stage of data inspection and also demonstrate how both confidence intervals and effect sizes are complementary to traditional null hypothesis testing. Throughout the book, the authors emphasize the understanding and interpretation of statistics and place less emphasis on computation, acknowledging and encouraging computer-assisted data analysis. Concrete examples at the beginning of each chapter illustrate the kinds of questions and data that will be considered in that section. Having this variety of examples increases the likelihood that a student will relate to at least one of them. Scenarios presented at the beginning of the chapter, which are referred to throughout the chapter so students can see how an example is affected by different stages of analysis and interpretation. Read more...