Survey Methodology describes the basic principles of survey design discovered in methodological research over recent years and offers guidance for making successful decisions in the design and execution of high quality surveys. Written by six nationally recognized experts in the field, this book covers the major considerations in designing and conducting a sample survey. Topical, accessible, and succinct, this book represents the state of the science in survey methodology. Employing the "total survey error" paradigm as an organizing framework, it merges the science of surveys with state-of-the-art practices. End-of-chapter terms, references, and exercises enhance its value as a reference for practitioners and as a text for advanced students.

    The book encourages a critical discussion of the different approaches and looks at some of the most important thinkers and their influence.

    

    Written in a practical, skills-based manner, this classic resource offers coverage of the most widely used assessment instruments and has been updated to include new material and cover tests that are growing in popularity, such as brief assessment instruments. "Handbook of Psychological Assessment" also provides guidance on the most efficient methods for selecting and administering tests, how to interpret assessment data, and how to integrate test scores and develop treatment plans as well as instruction on ways in which to write effective, client-oriented, problem-solving psychological reports.The Fifth Edition provides thorough coverage of the most commonly used assessment instruments including the Wechsler Adult Intelligence Scale(R)-Fourth Edition (WAIS(R)-IV), Wechsler Intelligence Scale for Children(R)-Fourth Edition (WISC(R)-IV), Wechsler Memory Scale(R)-Fourth Edition (WMS(R)-IV), Minnesota Multiphasic Personality Inventory(R)-2 (MMPI(R)-2), California Psychology InventoryTM (CPITM), Rorschach(R), MillonTM Clinical Multiaxial Inventory-III (MCMI-IIITM), Thematic Apperception Test, Repeatable Battery for the Assessment of Neuropsychological StatusTM (RBANS(R)), brief assessment instruments, clinical interviewing, and behavioral assessment.In addition, this "Fifth Edition" includes: Updates on the new WAIS(R)-IV, WISC(R)-IV, and WMS(R)-IV An increased emphasis on diversity A focus on screening for neuropsychological impairment, including coverage of the Repeatable Battery for the Assessment of Neuropsychological StatusTM (RBANS(R)) Coverage of the Minnesota Multiphasic Personality Inventory-2-Restructured Form TM New information on client feedback and consultation An updated chapter on psychological report writing, including new examples of psychological reportsOrganized according to the sequence mental health professionals follow when conducting an assessment, "Handbook of Psychological Assessment, Fifth Edition" is a practical, valuable reference for professionals looking to stay current as well as for students looking for the most thorough and trusted resource covering the field of psychological assessment.

    It can be used in a variety of disciplines and is ideal for an introductory comprehensive undergraduate or graduate level course. Through its conversational, informal style it makes material that is often challenging for students both accessible and understandable. The Research Methods Knowledge Base, 3e covers everything from the development of a research question to the writing of a final report, describing both practical and technical issues of sampling, measurement, design and analysis.

    It also stresses the importance of ethics in research and taking the time to properly design and think through any research endeavor.

    It shows how the components of design interact with each other, and provides a strategy for creating coherent and workable relationships among these design components, highlighting key design issues. Written in an informal, jargon-free style, the new Third Edition incorporates examples and hands-on exercises.

    Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra.

    Her parents have died, her food is dwindling and the rent is due. When a stranger arrives bearing a note from an uncle, inviting Katka to join him and his wife in America, she leaves all that she has held dear to rebuild her life across the ocean. On the voyage to New York, she becomes friends with the stranger and begins to fall in love. But at Ellis Island, they are separated when he is detained by authorities as a suspected anarchist. Alone, Katka continues her journey to her uncle’s house on the rough and tumble Iron Range in northern Minnesota. Soon she is immersed in a lively community of iron miners and begins publishing an underground newspaper about their struggles and the heroism of the women on the Iron Range, as they are swept into a tumultuous strike that will change their lives forever. “Under Ground” is a work of fiction inspired by true events.

    Stake uses and annotates an actual case study to answer such questions as: How is the case selected? How do you select the case which will maximize what can be learned? How can what is learned from one case be applied to another? How can what is learned from a case be interpreted? In addition, the book covers: the differences between quantitative and qualitative approaches; data-gathering including document review; coding, sorting and pattern analysis; the roles of the researcher; triangulation; and reporting.

    The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.

    Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

    Defined as an argument about why the topic of a study matters, and why the methods proposed to study it are appropriate and rigorous, the book explores the conceptual framework as both a process and a framework that helps to direct and ground researchers as they work through common research challenges.

    Yin's bestselling text provides a complete portal to the world of case study research. With the integration of 11 applications in this edition, the book gives readers access to exemplary case studies drawn from a wide variety of academic and applied fields. Ultimately, Case Study Research and Applications will guide students in the successful design and use of the case study research method. New to this Edition Includes 11 in-depth applications that show how researchers have implemented case study methods successfully. Increases reference to relativist and constructivist approaches to case study research, as well as how case studies can be part of mixed methods projects. Places greater emphasis on using plausible rival explanations to bolster case study quality. Discusses synthesizing findings across case studies in a multiple-case study in more detail Adds an expanded list of 15 fields that have text or texts devoted to case study research. Sharpens discussion of distinguishing research from non-research case studies. The author brings to light at least three remaining gaps to be filled in the future: how rival explanations can become more routinely integrated into all case study research; the difference between case-based and variable-based approaches to designing and analyzing case studies; and the relationship between case study research and qualitative research.