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Designed to help students make the leap from learning about research to doing research, How To Do Research by Jane F. Gaultney and Hannah D. Peach provides an easy-to-understand walkthrough of the entire research process, from selecting a topic and conducting a literature review through presenting an APA-style paper or presentation. All of the 15 cross-disciplinary labs included are appropriate for use in the social, behavioral, and health sciences, and follow a consistent format: objective, description of a journal article, canned data, examples of what output should look like, pointers on interpreting the output, and a suggested activity for those who wish to collect their own data.
A century and a half after the publication of Origin of Species, evolutionary thinking has expanded beyond the field of biology to include virtually all human-related subjects—anthropology, archeology, psychology, economics, religion, morality, politics, culture, and art. Now a distinguished scholar offers the first comprehensive account of the evolutionary origins of art and storytelling. Brian Boyd explains why we tell stories, how our minds are shaped to understand them, and what difference an evolutionary understanding of human nature makes to stories we love. Art is a specifically human adaptation, Boyd argues. It offers tangible advantages for human survival, and it derives from play...
The present state of the university is a difficult issue to comprehend for anyone outside of the education system. If we are to believe common government reports that changes in policy are somehow making life easier for university graduates, we cannot help but believe that things are going right and are getting better in our universities. Ivory Tower Blues gives a decidedly different picture, examining this optimistic attitude as it impacts upon professors, students, and administrators in charge of the education system. Ivory Tower Blues is a frank account of the contemporary university, drawing on the authors' own research and personal experiences, as well as on input from students, colleag...
."..helps students learn how to conduct research in Psychology. This manual emphasizes active learning and reinforces concepts that are presented in a research methods course and illustrates for students how to effectively perform research in a variety of specific areas such as social, neurocognitive, health, and developmental psychology"--Publ. web site.
Emerging Themes in Cognitive Development, Volumes I and II offer the full spectrum of current knowledge and research trends in cognitive developmental psychology. The first volume provides a foundation by describing key discoveries in new areas of research and by thoroughly examining fundamental aspects of the field, including several demonstrations of formal modeling; the gains in prediction and precision that can be won by such mathematical analyses are the hallmark of cognitive development as a maturing science. The second volume traces the development of cognitive competence - denoting a change or increment in cognitive proficiency, understanding, or mastery - and includes analyses of innovative and previously unpublished studies. The primary challenge issued by many of the authors in this volume is to ensure the incorporation of new knowledge into educational practices. These volumes, which are milestones in cognitive developmental psychology, interest every researcher in the field.
Designed to help students make the leap from learning about research to doing research, this manual provides an easy-to-understand walkthrough of the entire research process, from selecting a topic and conducting a literature review through presenting an APA-style paper or presentation. All of the 15 cross-disciplinary labs included are appropriate for use in the social, behavioral, and health sciences, and follow a consistent format: objective, description of a journal article, canned data, examples of what output should look like, pointers on interpreting the output, and a suggested activity for those who wish to collect their own data.