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Books > Social sciences > Psychology > Psychological methodology
Interpretative phenomenological analysis (IPA) is a qualitative research approach committed to the examination of how people make sense of their major life experiences. This text provides a detailed guide to conducting IPA research, presenting the theoretical underpinnings of the approach, a comprehensive overview of the stages of an IPA research project, and examples of high-quality IPA studies. Extended worked examples from the authors' own studies in health, psychological distress, and identity illustrate the breadth and depth of IPA research, making this book the definitive guide to IPA for students and researchers alike. New to this edition: - A thoroughly updated chapter dedicated to analysis - An exemplary mini-study - Improved and updated terminology - A chapter discussing innovations in design, data collection, and collaboration 'It is not often I can use "accessible" and "phenomenology" in the same sentence, but reading the new book, Interpretative Phenomenological Analysis...certainly provides me the occasion to do so. I can say this because these authors provide an engaging and clear introduction to a relatively new analytical approach' - The Weekly Qualitative Report
The "Advances in Personality Assessment Series" began in the early
1980s to facilitate the rapid dissemination of important new
developments in theory and research on all aspects of personality
assessment. Impressed with the extensive research on test
development and validation that was going on at that time, the
editors were concerned with the limited publication resources
devoted to personality assessment. With this series, they hoped to
provide a publication opportunity and resource for reports of
personality assessment research and/or clinical practice that might
not conveniently fit in journal format because of length, focus, or
content.
Personality assessment is a major component of many mental health practices, as well as a required course in most graduate programs in psychology. Interpreting Personality Tests is a clear, succinct guide that offers practicing clinical psychologists and graduate students precise interpretive guidelines for the four main personality inventories–MMPI-2, MCMI-III, CPI-R, and 16PF. This accessible book provides step-by-step procedures for clinical personality interpretation, helping mental health professionals determine the psychological health of their clients, ascertain maladjustment and problem behaviors, and ultimately reach a diagnosis. The book is divided into four chapters devoted to each of the key personality tests:
Clear and concise, Interpreting Personality Tests is an invaluable resource for everyone in the assessment field. The only concise guide to address each of the four most frequently used personality tests. Personality assessment is a crucial part of the mental health process. Interpreting Personality Tests is the ultimate guide for psychologists, counselors, and students who want to learn how to interpret the four key personality inventories. Offering hundreds of interpretive data profiles, this volume is a valuable source of information for these major objective personality tests:
For definitive, precise guidance on clinical personality interpretation, Interpreting Personality Tests is the reference the assessment field has been waiting for.
Designed for professionals and graduate students in the
personality/social, military, and educational psychology, and
assessment/evaluation communities, this volume explores the state
of the art in motivational research for individuals and teams from
multiple theoretical viewpoints as well as their effects in both
schools and training environments.
Design and Analysis in Educational Research Using jamovi is an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research. Based on their successful SPSS version of the book, the authors focus on using jamovi in this version due to its accessibility as open source software, and ease of use. The book teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA. This textbook is tailor-made for first-level doctoral courses in research design and analysis. It will also be of interest to graduate students in education and educational research. The book includes Support Material with downloadable data sets, and new case study material from the authors for teaching on race, racism, and Black Lives Matter, available at www.routledge.com/9780367723088.
This book represents a social psychological approach to the study of emotion. The contributors present empirical data using the 'time sampling' or 'experience sampling' technique developed by Brandstätter. This technique allows researchers to gain direct access to the phenomenological experiences of subjects without the distorting effects of recall. Populations studied include bank employees, factory workers, housewives, and the unemployed.
Characterized by its multi-level interdisciplinary character,
communication has become a variable field -- one in which the level
of analysis varies. This has had important ramifications for the
study of communication because, to some extent, the questions one
asks are determined by the methods one has available to answer
them. As a result, communication research is characterized by the
plethora of both qualitative and quantitative approaches used by
its practitioners. These include survey and experimental methods,
and content, historical, and rhetorical analyses.
This book brings together psychometric, cognitive science, policy,
and content domain perspectives on new approaches to educational
assessment -- in particular, constructed response, performance
testing, and portfolio assessment. These new assessment approaches
-- a full range of alternatives to traditional multiple-choice
tests -- are useful in all types of large-scale testing programs,
including educational admissions, school accountability, and
placement. This book's multi-disciplinary perspective identifies
the potential advantages and pitfalls of these new assessment
forms, as well as the critical research questions that must be
addressed if these assessment methods are to benefit
education.
This book presents state-of-the-art information on both the
scientific and clinical aspects of the Millon Clinical Multiaxial
Inventory, a test that uniquely assesses both personality pathology
and psychopathology. The book presents original contributions from
major researchers/clinicians who have published seminal papers on
the MCMI and who are recognized authorities in their specific
areas. Clinical examples of the MCMI with a variety of clinical
populations are provided, and many chapters summarize the research
in that area as well as present clinical illustrations of the MCMI
with actual cases.
The faking of personality tests in a selection context has been perceived as somewhat of a nuisance variable, and largely ignored, or glossed over by the academic literature. Instead of examining the phenomenon many researchers have ignored its existence, or trivialized the impact of faking on personality measurement. The present volume is a much needed, timely corrective to this attitude. In a wide range of chapters representing different philosophical and empirical approaches, the assembled authors demonstrate the courage to tackle this important and difficult topic head-on, as it deserves to be. The writers of these chapters identify two critical concerns with faking. First, if people fake their responses to personality tests, the resulting scores and the inferences drawn from them might become invalid. For example, people who fake their responses by describing themselves as diligent and prompt might earn better conscientiousness scores, and therefore be hired for jobs requiring this trait that in fact they might not perform satisfactorily. Second, the dishonesty of the faker might itself be a problem, separate from its effect on a particular score. Someone who lies on a pre-employment test might also lie about the hours he or she works, or how much cash is in the till at the end of the shift. Worse, these two problems might exacerbate each other: a dishonest applicant might get higher scores on the traits the employer desires through his or her lying, whereas the compulsively honest applicant might get low scores as an ironic penalty for being honest. Outcomes like these harm employers and applicants alike. The more one delves into the complexities of faking, as the authors of the chapters in this volume do so thoroughly and so well, the more one will recognize that this seemingly specialized topic ties directly to more general issues in psychology. One of these is test validity. The bottom-line question about any test score, faked or not, is whether it will predict the behaviors and outcomes that it is designed to predict. As Johnson and Hogan point out in their chapter, the behavior of someone faking a test is a subset of the behavior of the person in his or her entire life, and the critical research question concerns the degree to which and manner in which behavior in one domain generalizes to behavior in other domains. This observation illuminates the fact that the topic of faking is also a key part of understanding the relationship between personality and behavior. The central goal of theoretical psychology is to understand why people do the things they do. The central goal of applied psychology is to predict what someone will do in the future. Both of these goals come together in the study of applicant faking.
In keeping with the goals of this series, which are to facilitate
the rapid dissemination of important new developments in theory and
research on all aspects of personality assessment, the eight
chapters in this volume examine a wide range of topics. These
include research investigations and clinical applications involving
traditional assessment techniques -- such as the Rorschach and the
MMPI-2 -- and promising but less known procedures. Specific topics
examined in the individual chapters range from the assessment of
appreciation of humor to assessment of marital distress. A review
of the contents of this volume once again demonstrates the
diversity in assessment philosophy, theoretical orientation, and
research methodology that characterizes the field of personality
assessment.
Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.
Introduction to Statistics and SPSS in Psychology guides the reader carefully and concisely up the statistics staircase to success. Each step is supported by helpful visuals as well as advice on how to overcome problems. Interactive, lively, but never patronising, this is the complete guide to statistics that will take readers through their degree course from beginning to end. Take a step in the right direction and tackle statistics head on with this visual introduction.
These two companion volumes provide a comprehensive review and
critical evaluation of the major DSM-III and DSM-III-R child
disorders. Their major goal is to provide diagnostic and assessment
guidelines that are based on scientific literature in specific
clinical domains. Each chapter contains a discussion of the
historical background of a particular diagnosis, definitional
issues, a critical but selective review of the literature
addressing the diagnosis in question, proposed changes in the
diagnostic criteria based on the available literature, and proposed
assessment models and methods based on the designated criteria.
Given the scientific bases for many of these discussions of
diagnostic criteria, these two volumes will serve professionals and
graduate students in a wide variety of fields: clinical child
psychology, child psychiatry, pediatrics, pediatric and school
psychology, special education, social work, and other child mental
health specialties.
Measurement theory has only recently become recognized as a
legitimate, specialized field of inquiry. This text covers a wide
range of issues of central concern to contemporary measurement
theorists, and a broad range of philosophical perspectives are
represented. The formalist, representationalist approach defines
measurement as the assignment of numbers to entities and events to
represent their properties and relations. It also states that
measurement theory is supposed to analyze the concept of a scale of
measurement, describe various types of scales and their uses, and
formulate the conditions required for the existence of scales of
various types. Since this approach dominates contemporary
measurement theory, the volume begins with essays by some of its
leading architects. In order to allow for diverse points of view,
the book also includes articles that attempt to broaden this
approach, and several that even criticize the approach.
This accessible guide offers a concise introduction to the science behind worry in children, summarising research from across psychology to explore the role of worry in a range of circumstances, from everyday worries to those that can seriously impact children's lives. Wilson draws on theories from clinical, developmental and cognitive psychology to explain how children's worry is influenced by both developmental and systemic factors, examining the processes involved in pathological worry in a range of childhood anxiety disorders. Covering topics including different definitions of worry, the influence of children's development on worry, Generalised Anxiety Disorder (GAD) in children, and the role parents play in children's worry, this book offers a new model of worry in children with important implications for prevention and intervention strategies. Understanding Children's Worry is valuable reading for students in clinical, educational and developmental psychology, and professionals in child mental health.
This volume celebrates Lee J. Cronbach's considerable contributions
to the methodology of social and behavioral science. Comprised of
chapters written by colleagues and contemporaries of the highly
influential scholar, it offers a range of ideas, perspectives, and
new approaches to improving social science inquiry.
A volume in Advances in Cultural Psychology Series Editor: Jaan Valsiner, Clark University This book is a result of a major research project in Switzerland that brings together the fields of Education and Socio-Cultural Psychology. It is focused on how culture is involved in very concrete educational practices. The reader is invited to follow the research group in a Swiss technical college that trains young people in precision mechanics during a period of major technological change: the arrival of automated manufacturing systems. This transition in the trade is an opportunity to explore the educational and psychological challenges of vocational training from a perspective inspired by activity theory and the consideration of social interactions and semiotic or other technical mediations as crucial to the formation of professional identities and competencies. What are the most appropriate settings for learning? There is no simple answer to this question. What can lead a pupil to become engaged, even if this is within a school, with all the seriousness of a future professional? Under which conditions is an internship in a company genuinely formative? Is it necessary to possess the most recent technologies in order to offer high quality training? What do we know about the relation between doing and knowing in the construction of new competences? How can it be planned and informed to become an object of reflection and make sense in the eyes of the learner? Dealing with such questions, this study explores new working hypotheses on the manner in which the young experience their training and on the significant role for them of professional specialization.
This groundbreaking study on the psycholinguistics of spelling presents the author's original empirical research on spelling and supplies the theoretical framework necessary to understand how children's ability to write is related to their ability to speak a language. The author explores areas in a field dominated by work traditionally concerned with the psychodynamics of reading skills and, in so doing, highlights the importance of learning to spell for both psycholinguists and educators, since as they begin to spell, children attempt to represent the phonological, or sound form, of words. The study of children's spelling can shed light on the nature of phonological systems and can illuminate the way sounds are organized into larger units, such as syllables and words. Research on children's spelling leads directly to an understanding of the way phonological knowledge is acquired and how phonological systems change with the development of reading and writing ability. In addition to this insight concerning cognitive processes, the findings presented here have implications for how spelling should be taught and why some writing systems are easier to master than others. The work will interest a wide range of cognitive and developmental psychologists, psycholinguists, and educational psychologists, as well as linguists and educators interested in psycholinguistics.
Based on a tremendous increase in the development of psychometric
theories in the past decade -- ranging from techniques for
criterion-referenced testing to behavioral assessment,
generalizability, and item response theory -- this book offers a
summary of core issues. In so doing, it provides a comprehensive
survey of reliability, validity, and item analysis from the
perspectives of classical true-score model, generalizability
theory, item response theory, criterion-referenced testing, and
behavioral assessment. Related theoretical issues such as item
bias, equating, and cut-score determination are also discussed.
This is an excellent text for courses in statistics, research
methods, behavioral medicine and cognitive science as well as
educational, school, experimental, counseling/social, clinical,
developmental, and personality psychology.
This is the first technical book that considers tests as public tools and examines how to engineer and process test data, extract the structure within the data to be visualized, and thereby make test results useful for students, teachers, and the society. The author does not differentiate test data analysis from data engineering and information visualization. This monograph introduces the following methods of engineering or processing test data, including the latest machine learning techniques: classical test theory (CTT), item response theory (IRT), latent class analysis (LCA), latent rank analysis (LRA), biclustering (co-clustering), and Bayesian network model (BNM). CTT and IRT are methods for analyzing test data and evaluating students' abilities on a continuous scale. LCA and LRA assess examinees by classifying them into nominal and ordinal clusters, respectively, where the adequate number of clusters is estimated from the data. Biclustering classifies examinees into groups (latent clusters) while classifying items into fields (factors). Particularly, the infinite relational model discussed in this book is a biclustering method feasible under the condition that neither the number of groups nor the number of fields is known beforehand. Additionally, the local dependence LRA, local dependence biclustering, and bicluster network model are methods that search and visualize inter-item (or inter-field) network structure using the mechanism of BNM. As this book offers a new perspective on test data analysis methods, it is certain to widen readers' perspective on test data analysis.
First published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.
This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.
This new edition of the Handbook of International Psychology chronicles the discipline of psychology as it evolves in different regions, showing a field of study and profession unified by core principles. It surveys the history, methodology, education and training, and the future of psychology in ten distinct regions across six continents. Each chapter follows a uniform outline, unifying the volume as a whole, but allowing for the cultural diversity and status of psychology in each country. This comprehensive volume will be useful to helping professionals understand the context of psychology around the world and will make a wonderful reference for students who are new to the field. |
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