Understanding and Evaluating Research in Applied and Clinical Settings

Author: George A. Morgan
Publisher: Psychology Press
ISBN: 1135604533
Format: PDF, Kindle
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Clinically oriented professionals and students need to understand and evaluate the research and statistics in professional articles, especially given today's emphasis on evidence-based practice. This book demonstrates how the research approach and design help determine the appropriate statistical analysis. Understanding and Evaluating Research in Applied and Clinical Settings features: *short, independent, chapters that do not have to be read in order; *a guide to understanding why a particular statistic was selected; *an emphasis on effects sizes including measures of risk potency; *numerous cross-disciplinary examples to illustrate the material; and *methods to help determine practical and clinical significance and their relation to meta-analysis and evidence-based practice. This book is intended for practitioners and students in psychology, education, counseling, mental and allied health, nursing, and medicine, and as a text for courses on understanding research methods and statistics.

Understanding and Evaluating Research in Applied and Clinical Settings

Author: Jeffrey A. Gliner
Publisher: Routledge
ISBN: 9780805853315
Format: PDF, ePub, Docs
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Clinically oriented professionals and students need to understand and evaluate the research and statistics in professional articles, especially given today's emphasis on evidence-based practice. This book consists of updates of 33 previously published articles from the Journal of the American Academy of Child and Adolescent Psychiatry, as well as an introduction and a conclusion on how to analyze and evaluate research articles. The book demonstrates how the research approach and design help determine the appropriate statistical analysis. Understanding and Evaluating Research in Applied and Clinical Settings features: *Short, independent, chapters that do not have to be read in order. *A guide to understanding why a particular statistic was selected. *An emphasis on effects sizes including measures of risk potency. *Numerous cross-disciplinary examples to illustrate the material. *Methods to help determine practical and clinical significance and their relation to meta-analysis and evidence-based practice. This book is intended for practitioners and students in psychology, education, counseling, mental and allied health, nursing, and medicine, and as a text for courses on understanding research methods and statistics. Exposure to research and statistics is assumed.

Aufgabenorientierung und Mitarbeiterorientierung

Author: Heiko Verlage
Publisher: Akademische Verlagsgemeinschaft München
ISBN: 3960913575
Format: PDF, ePub, Mobi
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In der Führungsforschung ist ein wiedererstarkendes Interesse an den Führungsstilen Aufgabenorientierung und Mitarbeiterorientierung zu beobachten. Das vorliegende Buch stellt einen zeitgemäßen Fragebogen zur Verfügung, um diese Konstrukte in messtheoretisch adäquater Form zu erfassen. Die Überprüfung des Fragebogens anhand mehrerer Stichproben unterschiedlicher Branchen erbrachte insgesamt zufriedenstellende bis sehr gute Reliabilitäts- und Validitätskoeffizienten. Das Messinstrument weist Zusammenhänge mit subjektiven und objektiven Validierungskriterien wie beispielsweise Mitarbeiterzufriedenheit und Fluktuation auf. Zusätzlich bestehen signifikante Korrelationen zu transaktionaler und transformationaler Führung.

Research Methods in Applied Settings

Author: Jeffrey A. Gliner
Publisher: Routledge
ISBN: 1317526899
Format: PDF, Kindle
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This text teaches readers how to plan, conduct, and write a research project and select and interpret data through its integrated approach to quantitative research methods. Although not a statistics book, students learn to master which technique to use when and how to analyze and interpret results, making them better consumers of research. Organized around the steps of conducting a research project, this book is ideal for those who need to analyze journal articles. With teaching experience in various departments, the authors know how to address the research problems faced by behavioral and social sciences students. Independent sections and chapters can be read in any order allowing for flexibility in assigning topics. Adopters applaud the book’s clarity and applied interdependent approach to research. The book emphasizes five research approaches:? randomized experimental, quasi-experimental, comparative, associational, and descriptive. These five approaches lead to three kinds of research designs which lead to three groups of statistics with the same names. This consistent framework increases comprehension while avoiding confusion caused by inconsistent terminology. Numerous examples, diagrams, tables, key terms, key distinctions, summaries, applied problems, interpretation questions, and suggested readings further promote understanding. This extensively revised edition features: More examples from published research articles to help readers better understand the research process. New Research in the Real World boxes that highlight actual research projects from various disciplines. Defined key terms in the margins and interpretation questions that help readers review the material. More detailed explanations of key concepts including reliability, validity, estimation, ethical and bias concerns, data security and assumptions, power analysis , and multiple and logistic regression. New sections on mediation and moderation analysis to address the latest techniques. More coverage of quasi-experimental design and qualitative research to reflect changing practices. A new appendix on how to write about results using APA guidelines to help new researchers. Online resources available at www.routledge.com/9781138852976 that provide instructors with PowerPoints, test questions, critical thinking exercises, a conversion guide, and answers to all of the book’s problems and questions. Students will find learning objectives, annotated links to further readings and key concepts, and key terms with links to definitions. Intended for graduate research methods or design or quantitative/experimental research methods courses in psychology, education, human development, family studies, and other behavioral, social, and health sciences, some exposure to statistics and research methods is recommended.

IBM SPSS for Introductory Statistics

Author: George A. Morgan
Publisher: Taylor & Francis
ISBN: 1136909443
Format: PDF, Docs
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"Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors prepare readers for all of the steps in the research process, from design and data collection, to writing about the results. Discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and computing descriptive and inferential parametric and nonparametric statistics are included. SPSS syntax, along with the output, is provided for those who prefer this format"--Provided by publisher.

IBM SPSS for Intermediate Statistics

Author: Nancy L. Leech
Publisher: Routledge
ISBN: 1136760288
Format: PDF, Docs
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Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design, perform intermediate statistics, including multivariate statistics, interpret output, and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data: whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic and discriminant analyses; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling, multivariate analysis of variance (MANOVA), assessing reliability of data, and factor analysis are provided. SPSS syntax, along with the output, is included for those who prefer this format. The new edition features: IBM SPSS version 19; although the book can be used with most older and newer versions expanded discussion of assumptions and effect size measures in several chapters expanded discussion of multilevel modeling expansion of other useful SPSS functions in Appendix A examples that meet the new formatting guidelines in the 6th edition of the APA Publication Manual (2010) flowcharts and tables to help select the appropriate statistic and interpret statistical significance and effect sizes multiple realistic data sets available on the website used to solve the chapter problems password protected Instructor's Resource materials with PowerPoint slides, answers to interpretation questions and extra SPSS problems, and chapter outlines and study guides. IBM SPSS for Intermediate Statistics, Fourth Edition provides helpful teaching tools: all of the key SPSS windows needed to perform the analyses outputs with call-out boxes to highlight key points interpretation sections and questions to help students better understand and interpret the output extra problems using multiple realistic data sets for practice in conducting analyses using intermediate statistics helpful appendices on how to get started with SPSS, writing research questions, and review of basic statistics. An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social and health sciences, this book is also appreciated by researchers in these areas looking for a handy reference for SPSS.

Understanding Research for Nursing Students

Author: Peter Ellis
Publisher: Learning Matters
ISBN: 1473967635
Format: PDF, Kindle
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Do your students find research difficult to engage with or want a textbook that is easy to read? Right from the start of their programme it is crucial for nursing students to be able to understand and evaluate current research to support their learning. This book helps students recognise what good research is by providing an introductory guide to the main research methodologies used in nursing. It simplifies complex terminology and puts research into context for nursing students, with clear examples and case studies. Key features · Written in clear, easy to follow language · Each chapter is linked to relevant NMC Standards and Essential Skills Clusters · A companion website with 9 podcasts to bring topics from the book to life.

Using Complexity Theory for Research and Program Evaluation

Author: Michael Wolf-Branigin
Publisher: Oxford University Press
ISBN: 0199841462
Format: PDF, Kindle
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Complexity as a paradigm has been underutilized by social work, but this cutting-edge pocket guide makes a convincing argument for its use. Every agency worker has been faced with a deluge of records, making it difficult to grasp onto structures and trends undergirding behavior. Complexity theory studies the interactions of competitive and cooperative tendencies of agents such as individuals, families, groups, or communities, making the case that there is a hidden order in things that are seemingly chaotic. Exploring their interactions involves identifying a set of simple rules that the agents follow, revealing patterns that emerge without a predetermined template. Readers will learn how to frame their research using the components found in complex systems by using their existing knowledge of research methods and applying basic mathematical concepts. Concepts such as bordering between chaos and equilibrium, diverse perspectives, diverse heuristics, robustness, and wisdom of crowds are considered and applied to social work research studies. Basic introductions on game theory, graph theory, Boolean logic, decision theory, and network science provide the necessary mathematical background for understanding interconnectedness and networking. The next part of the book is a hands-on guide to the agent-based modeling software NetLogo. By inputting initial parameters and rules, the outputted models provide valuable information for visualizing unintended consequences, including how conflict can foster cooperation and how threats to a social network can improve the network's robustness and resiliency. The result is both a user-friendly introduction to using complexity theory in a socio-environmental context and a framework that provides an overarching structure for investigating process, outcomes, and the collective behavior of groups.

Understanding Research in Clinical and Counseling Psychology

Author: Jay C. Thomas
Publisher: Taylor & Francis
ISBN: 1136831193
Format: PDF, Docs
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Understanding Research in Clinical and Counseling Psychology, Second Edition is designed and written for graduate students aspiring to careers in practice and presents research as an indispensable tool for practice.