Highlighting the progress made by researchers in using Web-based surveys for data collection, this timely volume summarizes the experiences of leading behavioral and social scientists from Europe and the US who collected data using the Internet. Some chapters present theory, methodology, design, and implementation, while others focus on best practice examples and/or issues such as data quality and understanding paradata. A number of contributors applied innovative Web-based research methods to the LISS panel of CentERdata collected from over 5,000 Dutch households. Their findings are presented in the book. Some of the data is available on the book website. The book addresses practical issues such as data quality, how to reach difficult target groups, how to design a survey to maximize response, and ethical issues that need to be considered. Innovative applications such as the use of biomarkers and eye-tracking techniques are also explored. Part 1 provides an overview of Internet survey research including its methodologies, strengths, challenges, and best practices. Innovative ways to minimize sources of error are provided along with a review of mixed-mode designs, how to design a scientifically sound longitudinal panel and avoid sampling problems, and address ethical requirements in Web surveys. Part 2 focuses on advanced applications including the impact of visual design on the interpretability of survey questions, the impact survey usability has on respondents' answers, design features that increase interaction, and how Internet surveys can be effectively used to study sensitive issues. Part 3 addresses data quality, sample selection, measurement and non-response error, and new applications for collecting online data. The issue of underrepresentation of certain groups in Internet research and the measures most effective at reducing it are also addressed. The book concludes with a discussion of the importance of paradata and the Web data collection process in general, followed by chapters with innovative experiments using eye-tracking techniques and biomarker data. This practical book appeals to practitioners from market survey research institutes and researchers in disciplines such as psychology, education, sociology, political science, health studies, marketing, economics, and business who use the Internet for data collection, but is also an ideal supplement for graduate and/or upper level undergraduate courses on (Internet) research methods and/or data collection taught in these fields.

NOTE: This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value; this format costs significantly less than a new textbook. Before purchasing, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. For courses in introductory psychology, critical thinking, and research and experimental methods. Market-leading consumer's guide to assessing psychological claims Widely used and highly acclaimed, How to Think Straight About Psychology introduces students to the critical thinking skills they need to independently evaluate psychological information. Students will learn to analyze psychological claims found in the media, distinguish between pseudoscience and true psychological research, and apply psychological knowledge to the world around them. The 11th edition covers an extensive range of new topics and examples illustrating psychological principles, pseudoscience, and issues obscuring the real and growing knowledge base in the field of psychology.

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources. Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.

Das Buch stellt Studien und ihre Ergebnisse vor, die mit der systematischen Metaphernanalyse disziplinenubergreifend gewonnen wurden. Es verknupft die Metaphernanalyse mit weiteren theoretischen Anschlussmoeglichkeiten (u.a. Diskursanalyse, Rahmenanalyse, Wissenssoziologie). Die Anwendungsmoeglichkeiten der Methode - auch jenseits einer Analyse von Texten - werden vorgefuhrt (Bilder, Artefakte, Gesten). Praktische Hinweise zur Durchfuhrung werden gegeben (u.a. Nutzung von qualitativen Softwareprogrammen).

Das Einfuhrungsbuch stellt den aktuellen Stand der Kulturpsychologie bezuglichtheoretischer Ansatze und Methoden in der Breite dar. Es wird zudem aufgezeigt, wie stark sie in verschiedenen Handlungsfeldern verankert ist. Die Kulturpsychologie ist ein interdisziplinares Forschungsgebiet, das weniger darauf abzielt, menschliches Verhalten und Erleben objektiv und kausal zu erklaren, sondern vielmehr bestrebt ist, psychische Phanomene im jeweiligen soziokulturellen Kontext zu verstehen. Hierbei folgt sie einem theoretischen Grundverstandnis, den Menschen als aktiv handelndes Wesen aufzufassen. Sie betont damit im Vergleich zur vorherrschenden nomothetisch ausgerichteten Psychologie andere theoretische und methodische Zugange und stellt insbesondere Intentionalitat, Bedeutungsstrukturiertheit und nicht zuletzt Kulturalitat menschlicher Existenz heraus. Die Kulturpsychologie bezieht sowohl hermeneutische Ansatze in Psychologie, Philosophie, Soziologie und Ethnologie als auch qualitative Methoden zur Erforschung menschlichen Handelns und Erlebens ein.

Was ist eigentlich Wissenschaft? Diese Frage wird angesichts globaler Herausforderungen wie COVID-19, dem Klimawandel u.a. zunehmend neu diskutiert - und wir erleben eine beangstigende Zunahme des Widerstandes gegen die wissenschaftlichen Methoden aufseiten sogenannter Querdenker, Verschwoerungstheoretiker und Faktenleugner. Doch viele kritisieren die Wissenschaft, ohne den Kern wissenschaftlichen Denkens und Arbeitens verstanden zu haben! Prof. Dr. Tilmann Betsch tritt diesem Trend mit seinem Buch entschlossen entgegen und halt ein leidenschaftliches Pladoyer, warum Wissenschaft unverzichtbar ist: Anhand anschaulicher Beispiele und Anekdoten beschreibt er die Bestandteile des wissenschaftlichen Werkzeugkastens - jedes Kapitel klart dabei ein gangiges Vorurteil gegenuber der Wissenschaft auf und zeigt, mit welchen Methoden Erkenntnisse in der Forschung wirklich gewonnen werden. Dieses Buch gibt Ihnen Hilfestellung, Ihr kritisches Denken zu scharfen und Unfug schlagfertig entgegenzutreten. Es richtet sich damit nicht nur an Studierende der Wissenschaften, sondern an alle Interessierten, die "alternative Fakten" nicht mehr hoeren koennen und fur Diskussionen um die Bedeutung der Wissenschaft gewappnet sein wollen.

This approach gives the practical skills used by outstanding communicators. Excellent communication is the basis of creating excellent results. NLP skills are proving invaluable for personal development and professional excellence in counselling, education and business.Introducing NLP includes:• How to create rapport with others• Influencing skills• Understanding and using body language• How to think about and achieve the results you want• The art of asking key questions• Effective meetings, negotiations and selling• Accelerated learning strategies.

Acclaimed as a text and professional development tool, this user-friendly resource has now been revised and updated, and offers expanded coverage of collaborative action research (CAR) and participatory action research (PAR). Preservice and inservice educators get crucial step-by-step guidance for conducting classroom- and school-based studies to improve their instructional practices. Organized to mirror the full cycle of action research, the book provides balanced coverage of qualitative, quantitative, and mixed methods approaches. Vivid vignettes and examples illustrate research approaches for a range of teaching and learning situations, school subjects, and age groups (PreK-12). Readers learn how research approaches are driven by the research question, as well as how to develop data collection strategies; design and/or evaluate assessment tools; interpret, analyze, report, and implement study results; and design a new cycle of research that builds on the previous one. New to This Edition *In-depth descriptions of CAR and PAR--which enable groups of teachers to work together to solve problems in a classroom or school--plus examples of both throughout the book. *Expanded or new discussions (with examples) of such topics as how research approaches and methods are driven by the research question, how to assess different types of reliability and validity, the differences between analysis and interpretation, and how to use sequential cycles of research for continuous improvement and professional development. *Fully updated references and resources. Pedagogical Features *Both individual and group exercises and activities in every chapter. *New and updated checklists and guidelines that enable busy educators to self-assess the progress and quality of their studies. *Sample templates to assist in development of research instruments. *Example boxes illustrating the components of an action research report. *Summary tables highlighting key aspects of different research strategies. *Chapter summaries (now shorter for ease of use) and suggestions for further reading.

In a negative therapeutic reaction the progress of treatment triggers a particular destructive dynamic in the patient. Initially, therapists considered it to be a result of the patient's pathology, but contemporary clinicians recognize that the therapist may significantly contribute to this process. Object relations clinicians see the individual as a social being that develops in relation to others whom the individual internalizes as good and bad objects. Jeffrey Seinfeld explores how an internal sabotaging self is identified with a rejecting object. This self is a reservoir of memories of how original caregivers rejected the child's needs, and the patient now expects the world to reject and disappoint her. If patients experience the therapist as a kind or caring person, they may feel that they are being lured into dependency and subsequent disappointment. Paradoxically, if patients feel attached to the therapist, this same attachment is experienced as a threatening dependency that must be destroyed. A relationship that could eventually strengthen the personality is rejected, and instead a negative reaction to the therapist and the therapeutic process is established. Jeffrey Seinfeld shows that in order for patients to heal, they must separate from the internal bad objects.This is often done with aggression against the therapist, who must be able to withstand the intense hostility, rage, and abuse of the patient. Only by surviving this aggression in the negative therapeutic reaction can the therapist allow the patient to integrate good and bad part objects in the transference. The therapist can eventually serve as a bridge in the integration of the divided good and bad selves and objects. Through case histories Seinfeld illustrates his way of entering into the patient's internal world. By helping patients understand the transference of their internal objects, they begin to understand their own experience of self and others, which leads to character change.

The leading text that covers both the theory and practice of evaluation in one engaging volume has now been revised and updated with additional evaluation approaches (such as mixed methods and principles-focused evaluation) and new methods (such as technologically based strategies). The book features examples of small- and large-scale evaluations from a range of fields, many with reflective commentary from the evaluators; helpful checklists; and carefully crafted learning activities. Major theoretical paradigms in evaluation--and the ways they inform methodological choices--are explained. Readers learn effective strategies for clarifying their own theoretical assumptions; working with stakeholders; developing questions; using quantitative, qualitative, and mixed methods designs; selecting data collection and sampling strategies; analyzing data; and communicating and utilizing findings. The new companion website provides extensive recommended online resources and tools, organized by chapter. New to This Edition *Additional evaluation approaches: collaborative evaluation, principles-focused evaluation, and desk reviews. *Coverage of new data collection technologies and methods of qualitative coding. *Expanded discussions of logic models, cost-benefit analysis, and mixed methods designs. *Many new and updated sample studies. Pedagogical Features *Reflection questions that prepare students to read each chapter. *"Extending Your Thinking" questions and practical activities. *Boxes delving into key concepts and example studies. *End-of-book Glossary, and highlighted key terms throughout. *Companion website with links to helpful resources on all aspects of evaluation.

The goal of this book is to present and evaluate the concept of dynamic testing. Unlike "static" tests such as the SAT or IQ tests, it emphasizes learning potential rather than past learning accomplishments. This book is unique in its wide-ranging review of virtually all approaches to dynamic testing. It also suggests alternatives to the typical kinds of tests given in the United States--tests that often seem to stifle rather than encourage the development of human potential.

Designing and conducting experiments involving human participants requires a skillset different from that needed for statistically analyzing the resulting data. The Design and Conduct of Meaningful Experiments Involving Human Participants combines an introduction to scientific culture and ethical mores with specific experimental design and procedural content. Author R. Barker Bausell assumes no statistical background on the part of the reader, resulting in a highly accessible text. Clear instructions are provided on topics ranging from the selection of a societally important outcome variable to potentially efficacious interventions to the conduct of the experiment itself. Early chapters introduce the concept of experimental design in an intuitive manner involving both hypothetical and real-life examples of how people make causal inferences. The fundamentals of formal experimentation, randomization, and the use of control groups are introduced in the same manner, followed by the presentation and explanation of common (and later, more advanced) designs. Replete with synopses of examples from the journal literature and supplemented by 25 experimental principles, this book is designed to serve as an interdisciplinary supplementary text for research-methods courses in the educational, psychological, behavioral, social, and health sciences. It also serves as an excellent primary text for methods seminar courses.

*First Bayesian SEM book specifically for social science researchers, not advanced statisticians; a strong background in calculus is not needed. *Engaging, worked-through examples help highlight problems that can arise during estimation, explore solutions, and provide guidance for writing up findings. *User-friendly features include take-home points, tips, warnings, sample data analysis plans, and more. *Each chapter contains excerpts of annotated code in both Mplus and R; the companion website supplies datasets, code, and output for all of the book's examples.

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume I focuses on linear models for continuous outcomes.

Much applied research takes place as if complex social problems--and evaluations of interventions to address them--can be dealt with in a purely technical way. In contrast, this groundbreaking book offers an alternative approach that incorporates sustained, systematic reflection about researchers' values, what values research promotes, how decisions about what to value are made and by whom, and how judging the value of social interventions takes place. The authors offer practical and conceptual guidance to help researchers engage meaningfully with value conflicts and refine their capacity to engage in deliberative argumentation. Pedagogical features include a detailed evaluation case, "Bridge to Practice" exercises and annotated resources in most chapters, and an end-of-book glossary.

Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world examples show why and how modeling decisions can affect results. The book covers all the basics but also important advanced topics such as diagnostics, detecting and handling heteroscedasticity, power analysis, and missing data handling methods. Unlike other detailed texts on MLM which are written at a very high level, this text with its applied focus and use of R software to run the analyses is much more suitable for students who have substantive research areas but are not training to be methodologists or statisticians. Each chapter concludes with a "Test Yourself" section, and solutions are available on the instructor website for the book. A companion R package is available for use with this text.

Endlich ein Buch uber qualitative Forschungsmethoden, das Ihnen im Studium und in der Alltagspraxis einen umfassenden UEberblick uber qualitative Forschung bietet und qualitative Methoden durch konkrete Formulierungsbeispiele transparent macht. Dieses Lehrbuch beinhaltet alle wichtigen Verfahren wie: Qualitative Interviews Focus Groups Kreativitatstechniken Methoden der indirekten Befragung und ihre Auswertung neueste Ansatze der qualitativen Onlineforschung, etc. Wissenschaftlich fundiert und dennoch angenehm lesbar hilft es durch den starken Praxisbezug, die Lerninhalte gut im Gedachtnis zu verankern. Durch den klaren didaktischen Aufbau mit Lernzielen, Anwendungsbeispielen, Schlusselbegriffen, Prufungsfragen und Zusammenfassungen sowie die eingebundenen Audioclips verhilft es im Studium zu nachhaltigem Lernerfolg. In der Alltagspraxis unterstutzt es durch Formulierungsvorschlage den Einsatz qualitativer Methoden. Eine Begleitwebseite bereichert dieses Lehrbuch mit hilfreichen Zusatzmaterialien. Zusatzlich sind Fragen und Antworten zum Selbsttest und zur Prufungsvorbereitung uber die SN Flashcards Lern-App inkludiert. Der Zugangscode befindet sich im gedruckten Buch. Die Zielgruppen Studierende und Lehrende der Psychologie, Wirtschaftspsychologie und angrenzender Disziplinen, die Grundlegendes in kompakter, ubersichtlicher und praxisnaher Form verstehen und anwenden wollen. Auch geeignet fur Forscher und Professionals im Institut und Unternehmen. Zum Autor Rolf Kirchmair ist Diplompsychologe, Institutsmarktforscher und Hochschuldozent mit jahrzehntelanger Praxiserfahrung in der qualitativen Forschung.

Wenig wurde bislang uber die erkenntnistheoretische Fundierung der Grounded Theory in der pragmatischen Sozialphilosophie und die daraus resultierenden Konsequenzen fur das Verstandnis der methodologischen Konzeption wie der praktischen Verfahren geschrieben. Der Band schliesst diese Lucke, indem das Erkenntnismodell, ausgehend von den Arbeiten von C.S. Peirce, J. Dewey, G.H. Mead und W. James, vorgestellt und den Spuren nachgegangen wird, die dieses Modell als Geltungsbegrundung in der Methodologie der Grounded Theory hinterlassen hat. Dabei geht der Text auch auf die gravierenden methodologischen Unterschiede zwischen der von Anselm L. Strauss gepragten und der von Barney G. Glaser vertretenen Variante von Grounded Theory ein und beschaftigt sich mit wesentlichen Weiterentwicklungen einer pragmatistischen Grounded Theory im Kontext postmodernen Denkens.

* This self-help guide divulges new research on burnout and helps readers use it to identify and recover from burnout in themselves, loved ones, or clients. * Steadily gaining traction in visibility and severity, burnout became a global phenomenon with the COVID19 pandemic, reaching epidemic levels. * The only book of its kind, the book is extremely accessible, with new evidence-based tools and a plan for recovery based on their personal situation.

Starting Out in Methods and Statistics for Psychology: a Hands-on Guide to Doing Research takes first year psychology students through the entire process of doing research in psychology, from exploring designs and methods, to conducting step-by-step, by-hand data analysis, and writing up their findings, all in a friendly and accessible way. The text begins by presenting a thorough overview of research, explaining its central role in psychology as a science and exploring how to read and present research findings before introducing students to both qualitative and quantitative approaches to research. The author then explores experimental and correlational designs in detail, introducing the general principles before addressing the logic of the specific data analyses used in these forms of design. Dedicated chapters show students how to calculate independent and repeated t tests, and independent measures ANOVA in the experimental design section, and correlation and regression analyses in the correlation section. After guiding students through these essentials, the author moves on to a detailed explanation of when to use non-parametric tests, and again takes students through these data analyses in a carefully-paced series of hand calculations. The text concludes with a clear guide to when to use which test, and takes a look forward to the sorts of statistical analyses students will encounter in both published research and the next phase of their studies. Online Resource Centre For students: - A diagnostic maths test to help students identify their - strengths and weaknesses - Example lab reports (good and bad) - Example ethics applications forms - Full answers to the in-text study questions - SPSS screencasts - Links to papers and websites For lecturers: - Worksheets with additional datasets - Fully worked answers to worksheets - Testbank - Figures and tables from the book, ready to download - Animated solutions to the hand calculations

*Eagerly awaited major revision of a key handbook--80% new material includes 21 new chapter topics. *Critiques DSM-5 categories and describes tremendous progress in the last 15+ years toward better understanding and treating personality disorders. *Treatment research has grown dramatically; the volume identifies and describes all therapies that have been shown to work. *Authoritative: from leading international researchers and clinicians.

Speaking with people is one of the best ways to understand the "why" and "how" of human experience, values, beliefs, and perspectives. This book offers guidance for undergraduate and masters-level students in conducting a research project that involves personal interviews or focus groups. It provides tips on how to plan for, conduct, and analyze qualitative data. Readers will learn how interviews and focus groups can be used in various qualitative research designs. They will explore coding, analysis, and reporting methods, along with conceptual issues like inductive logic and voice. Professional skills for interacting and for using technology ethically and appropriately are also covered. Helpful organizational tools in the book include example interview protocols, tips for recruitment and requesting consent, group facilitation guidelines, instructions for creating codebooks, and samples of different writing and publishing formats. In recent decades, opportunities have increased for students to engage in inquiry-driven learning. This book will help them take advantage of such opportunities and enhance their applications to graduate school or jobs in academic, research, or clinical settings.