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Books > Social sciences > Psychology > Psychological methodology
Created with the input of a distinguished International Board of
the foremost authorities in data mining from academia and industry,
"The Handbook of Data Mining" presents comprehensive coverage of
data mining concepts and techniques. Algorithms, methodologies,
management issues, and tools are all illustrated through engaging
examples and real-world applications to ease understanding of the
materials.
Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. It features: Discusses a wide range of applications of multistate models, Presents methods for both continuously and intermittently observed life history processes, Gives a thorough discussion of conditionally independent censoring and observation processes, Discusses models with random effects and joint models for two or more multistate processes, Discusses and illustrates software for multistate analysis that is available in R, Target audience includes those engaged in research and applications involving multistate models.
The normal distribution is widely known and used by scientists and engineers. However, there are many cases when the normal distribution is not appropriate, due to the data being skewed. Rather than leaving you to search through journal articles, advanced theoretical monographs, or introductory texts for alternative distributions, the Handbook of Exponential and Related Distributions for Engineers and Scientists provides a concise, carefully selected presentation of the properties and principles of selected distributions that are most useful for application in the sciences and engineering. The book begins with all the basic mathematical and statistical background necessary to select the correct distribution to model real-world data sets. This includes inference, decision theory, and computational aspects including the popular Bootstrap method. The authors then examine four skewed distributions in detail: exponential, gamma, Weibull, and extreme value. For each one, they discuss general properties and applicability to example data sets, theoretical characterization, estimation of parameters and related inferences, and goodness of fit tests. The final chapter deals with system reliability for series and parallel systems. Presenting methods based on statistical simulations and numerical computations, the Handbook of Exponential and Related Distributions for Engineers and Scientists supplies hands-on tools for applied researchers in need of practical tools for data analysis.
Emerging from a qualitative research study on the rehabilitation experiences of adult male probationers with mental health illness, this book describes the treatment and rehabilitation experiences of these individuals and contextualizes their experiences within the landscape of mental health treatment in the United States. Often underserved in outpatient community support programs, probationers with mental health illness (PMIs) face stigma and obstacles in seeking mental health treatment and rehabilitation. Examining the lived experiences of both PMIs and their probation officers, this book offers insights into the study of stigma as it relates to probationers and the work of probation officers in furthering treatment and rehabilitation options for PMIs.
Quickly acquire the knowledge and skills you need to confidently administer, score, and interpret the MBTI In order to use the Myers-Briggs Type Indicator (MBTI) appropriately and effectively, professionals need an authoritative source of advice and guidance on how to administer, score, and interpret this test. Written by Naomi Quenk--who coauthored the 1998 revision of the "MBTI Manual" and the "MBTI Step II Manual--Essentials of Myers-Briggs Type Indicator Assessment, Second Edition" is that source. Like all the volumes in the "Essentials of Psychological Assessment" series, this book is designed to help busy practitioners, and those in training, to quickly acquire the knowledge and skills they need to make optimal use of major psychological assessment instruments. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as test questions that help you gauge and reinforce your grasp of the information covered. Completely revised and up to date with discussion of new versions of the MBTI, such as MBTI Step II and MBTIComplete, "Essentials of Myers-Briggs Type Indicator Assessment," Second Edition provides expert assessment of the instrument's relative strengths and weaknesses, valuable advice on its clinical applications, and several illuminating case reports.
The development of communication as a discipline has resulted in
an explosion of scales tapping various aspects of interpersonal,
mass, organizational, and instructional communication. These scales
are scattered across a bewildering array of journals, books,
dissertations, and research reports--a situation that often hinders
awareness and use of particular measures. Intended as a partial
remedy to the situation, this sourcebook brings together a variety
of scales that measure a number of important communication
constructs. The scales presented are drawn from areas of
interpersonal, mass, organizational, and instructional
communication--areas in which the use of formal, quantitative
scales is particularly well developed. "Communication Research
Measures" reflects the recent important emphasis on developing and
improving the measurement base of the communication discipline. It
results in an equal amount of labor saved on the part of the
scholars, students, and practitioners who find this book useful,
and it contributes in a significant way to research efforts.
Practical Handbook of Curve Fitting is a reference work assembled by Arlinghaus and a set of editors with well over a century of combined experience in various disciplines and activities related to curve fitting. The book demonstrates how to analyze World data bases and graph and map the results. Default settings in software packages can produce attractive graphs of data imported into the software. Often, however, the default graph has no equation associated with it and cannot therefore be used as a tool for further analysis or projection of the data. The same software can often be used to generate curves from equations. The reader is shown directly, and in a series of steps, how to fit curves to data using Lotus 1-2-3. There are traditional unbounded curve fitting techniques-lines of least squares, exponentials, logistic curves, and Gompertz curves. There is the bounded curve fitting technique of cubic spline interpolation. Beyond these, there is a detailed application of Feigenbaum's graphical analysis from chaos theory, and there is a hint as to how fractal geometry might come into play. Curve fitting algorithms take on new life when they are actually used on real-world data. They are used in numerous worked examples drawn from electronic data bases of public domain information from the Stars data base of The World Bank and from the WRD data base of the World Resources Institute. The applications are current and reflect a state-of-the-art interest in the human dimensions of global change.
Test-based psychological assessment has been significantly affected by the health care revolution in the United States during the past two decades. Despite new limitations on psychological services across the board and psychological testing in particular, it continues to offer a rapid and efficient method of identifying problems, planning and monitoring a course of treatment, and assessing the outcomes of interventions. This thoroughly revised and greatly expanded third edition of a classic reference, now three volumes, constitutes an invaluable resource for practitioners who in a managed care era need to focus their testing not on the general goals of personality assessment, symptom identification, and diagnosis so often presented to them as students and trainees, but on specific questions: What course of treatment should this person receive? How is it going? Was it effective? New chapters describe new tests and models and new concerns such as ethical aspects of outcomes assessment. Volume I reviews general issues and recommendations concerning the use of psychological testing for screening for psychological disturbances, planning and monitoring appropriate interventions, and the assessing outcomes, and offers specific guidelines for selecting instruments. It also considers more specific issues such as the analysis of group and individual patient data, the selection and implementation of outcomes instrumentation, and the ethics of gathering and using outcomes data. Volume II discusses psychological measures developed for use with younger children and adolescents that can be used for the purposes outlined in Volume I; Volume III, those developed for use with adults. Drawing on the knowledge and experience of a diverse group of leading experts--test developers, researchers, clinicians and others, the third edition of The Use of Psychological Testing for Treatment Planning and Outcomes Assessment provides vital assistance to all clinicians, and to their trainees and graduate students.
Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection. Interviewers play an essential role in the collection of the high-quality survey data used to learn about our society and improve the human condition. Although many surveys are conducted using self-administered modes, interviewer-administered modes continue to be optimal for surveys that require high levels of participation, include difficult-to-survey populations, and collect biophysical data. Survey interviewing is complex, multifaceted, and challenging. Interviewers are responsible for locating sampled units, contacting sampled individuals and convincing them to cooperate, asking questions on a variety of topics, collecting other kinds of data, and providing data about respondents and the interview environment. Careful attention to the methodology that underlies survey interviewing is essential for interviewer-administered data collections to succeed. In 2019, survey methodologists, survey practitioners, and survey operations specialists participated in an international workshop at the University of Nebraska-Lincoln to identify best practices for surveys employing interviewers and outline an agenda for future methodological research. This book features 23 chapters on survey interviewing by these worldwide leaders in the theory and practice of survey interviewing. Chapters include: The legacy of Dr. Charles F. Cannell's groundbreaking research on training survey interviewers and the theory of survey interviewing Best practices for training survey interviewers Interviewer management and monitoring during data collection The complex effects of interviewers on survey nonresponse Collecting survey measures and survey paradata in different modes Designing studies to estimate and evaluate interviewer effects Best practices for analyzing interviewer effects Key gaps in the research literature, including an agenda for future methodological research Chapter appendices available to download from https://digitalcommons.unl.edu/sociw/ Written for managers of survey interviewers, survey methodologists, and students interested in the survey data collection process, this unique reference uses the Total Survey Error framework to examine optimal approaches to survey interviewing, presenting state-of-the-art methodological research on all stages of the survey process involving interviewers. Acknowledging the important history of survey interviewing while looking to the future, this one-of-a-kind reference provides researchers and practitioners with a roadmap for maximizing data quality in interviewer-administered surveys.
This invaluable resource presents a state-of-the-art account of the psychology of pain from leading researchers. It features contributions from clinical, social, and biopsychological perspectives, the latest theories of pain, as well as basic processes and applied issues. The book opens with an introduction to the history of pain theory and the epidemiology of pain. It then explores theoretical work, including the gate control theory/neuromatrix model, as well as biopsychosocial, cognitive/behavioral, and psychodynamic perspectives. Issues, such as the link between psychophysiological processes and consciousness and the communication of pain are examined. Pain over the life span, ethno-cultural, and individual differences are the focus of the next three chapters. Pain: Psychological Perspectives addresses current clinical issues: * pain assessment and acute and chronic pain interventions; * the unavailability of psychological interventions for chronic pain in a number of settings, the use of self-report, and issues related to the implementation of certain biomedical interventions; and * the latest ethical standards and the theories. Intended for practitioners, researchers, and students involved with the study of pain in fields such as clinical and health psychology, this book will also appeal to physicians, nurses, and physiotherapists. Pain is ideal for advanced courses on the psychology of pain, pain management, and related courses that address this topic.
Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us. When published by the government, such data are called official statistics. They are reported by the media, used by politicians to lend weight to their arguments, and by economic commentators to opine about the state of society. Despite such widescale use, explanations about how these measures are constructed are seldom provided for a non-technical reader. This Measuring Society book is a short, accessible guide to six topics: jobs, house prices, inequality, prices for goods and services, poverty, and deprivation. Each relates to concepts we use on a personal level to form an understanding of the society in which we live: We need a job, a place to live, and food to eat. Using data from the United States, we answer three basic questions: why, how, and for whom these statistics have been constructed. We add some context and flavor by discussing the historical background. This book provides the reader with a good grasp of these measures. Chaitra H. Nagaraja is an Associate Professor of Statistics at the Gabelli School of Business at Fordham University in New York. Her research interests include house price indices and inequality measurement. Prior to Fordham, Dr. Nagaraja was a researcher at the U.S. Census Bureau. While there, she worked on projects relating to the American Community Survey.
Behavioral medicine has now matured as a field to the point where
all recognize that different populations are presented with
different issues. Psychological reactions and patterns affect the
health and well-being of children, as well as adults, and numerous
standardized instruments for the assessment of a variety of areas
of children's functioning are currently available. Yet, it can be
difficult for practitioners and researchers searching through
general compendia of resources for child assessment--which are
frequently focused on general techniques rather than specific
instruments--to identify the optimal ones to meet their particular
needs and to choose among them.
One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author's website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study Full solutions manual available to course instructors.
A special issue of the Peabody Journal of Education looking at contemporary issues in psychological and educational assessment.
Psychologists are under increasing pressure to demonstrate the
ecological validity of their assessment procedures--to show that
the recommendations concluding their evaluations are relevant to
urgent concerns in the legal and social policy arenas, such as
predicting dangerousness, awarding compensation, and choosing a
custodial parent. How much damage does a referred patient have? Who
or what "caused" the damage? What impact will it have on his or her
future life, work, and family? And what can be done to remediate
the damage?
Originally published in 1972, there were many 'classics' dealing with assessment and testing on the market at the time, but most of these left the inexperienced reader bewildered in the early stages, because of their size and insufficient explanation of the many technical terms used. There were a distinct lack of books which gave students in Colleges of Education dealing with psychology for the first time a simple explanation of basic terms in assessment and testing, and which introduced them briefly to the different types of tests available. Assessment and Testing aimed to fill this large gap. It looks at such key psychological terms as 'sample', 'objectivity', 'subjectivity', and such basic statistical terms such as 'mean', 'standard deviation', and 'normal curve of distribution'. Because it assumes that the reader has no knowledge of such terms, it gives careful and simply illustrated explanations of each. In the same way, in simple language, with any technical terms explained and illustrated, it explains intelligence and personality tests, questionnaires, sociometric measures, projection techniques, and other areas of assessment and testing which every practising teacher will meet. The book aims to be essentially practical. It is appreciated all the time that the readers are those who will teach children. It is designed to provide a solid foundation upon which the reader can build later to augment his own experience of identifying children's particular needs.
Since the mid-80s several laboratories around the world have been
developing techniques for the operational use of tests derived from
item-generation. According to the experts, the major thrust of test
development in the next decade will be the harnessing of item
generation technology to the production of computer developed
tests. This is expected to revolutionize the way in which tests are
constructed and delivered.
Statistical Concepts-A Second Course presents the last 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results. In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors. Coverage of effect sizes has been expanded upon and more organizational features (to summarize key concepts) have been included. A final chapter on mediation and moderation has been added for a more complete presentation of regression models. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R. This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines.
As new techniques and approaches to supervision attract interest within therapy-related professions, the contributors to this informative book consider the nature of a supervision and examine the ways in which it can be further defined and developed. Drawing together practical and theoretical perspectives, Integrative Approaches to Supervision examines the contribution that supervision can make within both organisational and individual settings. The book covers frameworks and models for supervision, supervision in clinical practice and issues within integrative supervision. Topics include: different models of the supervision practice; anti-oppressive practice; spirituality and supervision; counselling supervision in health care; supervision of organisations; self-protection for supervisors from complaints and litigation. Wide in scope but rich in detail, this book is essential reading for psychotherapists, counsellors, consultants and students involved in the supervision process.
Contributors to the volume represent an international "who's who"
of research scientists from the fields of psychology and
measurement. It offers the insights of these leading authorities
regarding cognition and personality. In particular, they address
the roles of constructs and values in clarifying the theoretical
and empirical work in these fields, as well as their relation to
educational assessment. It is intended for professionals and
students in psychology and assessment, and almost anyone doing
research in cognition and personality.
Built around a problem solving theme, this book extends the
intermediate and advanced student's expertise to more challenging
situations that involve applying statistical methods to real-world
problems. Data relevant to these problems are collected and
analyzed to provide useful answers. |
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