Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs.
The Use of Factor Analysis for Instrument Development in Health Care Research
Author: Marjorie A. Pett,Nancy R. Lackey,John J. Sullivan
Exploratory factor analysis (EFA) is a statistical tool for digging out hidden factors which give rise to the diversity of manifest objectives in psychology, medicine and other sciences. EFA had its heyday as psychologist Leon Thurstone (1935 and 1948) based EFA on what he called the “principle of simple structure” (SS). This principle, however, was erroneous from the beginning what remained unrecognized despite subsequent inventions of more sophisticated statistical tools such as confirmatory analysis and structural equation modeling. These methods are highly recommended today as tolerable routes to model complexities of observation. But they did not remove the harmful errors that SS had left behind. Five chapters in this book demonstrate and explain the trouble. In chapter 2 the ailment of SS is healed by introducing an unconventional factor rotation, called Varimin. Varimin gives variables of an analysis an optimal opportunity to manifest functional interrelations underlying correlational observations. Ten applications of Varimin (in chapter 2) show that its results are superior to results obtained by the conventional Varimax procedure. Further applications are presented for sports achievements (chapter 3), intelligence (chapter 4), and personality (chapter 5). If Varimin keeps on standing the tests new theoretical building blocks will arise together with conceptual networks promoting a better understanding of the domains under study. Readers may check this prognosis by themselves using the statistical tool (Varimin) which is provided by open access in the internet.
Healing an ailing model
Author: Ertel, Suitbert
Publisher: Universitätsverlag Göttingen
Nursing Research fills the need for a research text that addresses both traditional content as well as focusing on nursing research as it is used in evidence-based practice, in systematic reviews, and in the development of clinical practice guidelines. This book will address each issue by using a framework for the chapters that is based on an evidence-based practice approach to reading, using, and conducting nursing research. The perfect resource for BSN courses!
Reading, Using, and Creating Evidence
Author: Janet Houser
Publisher: Jones & Bartlett Learning
How do the analyst's consciously held theoretical commitments intersect with the actual conduct of analysis? Do commitments to notions like "psychic truth" or "analytic neutrality" affect interpretive style, the willingness to acknowledge treatment mistakes, and other pragmatic preferences? Does the commitment to cerain comcepts entail commitment to related ideas and practices to the exclusion of others? This is the uncharted domain that Victoria Hamilton explores in The Analyst's Preconscious. At the heart of her endeavor is an imaginatively conceived empirical investigation revolving around in-depth interviews with 65 leading analysts in the United States and Britain. In these lively and free-ranging discussions, the reader encounter firsthand the thoughtfulness with which practitioners wrestle with the ambiguous relations between various theoretical positions, whether or not their own, and the exigencies of the therapeutic encounter. The result is a uniquely detailed map of contemporary psychoanalysis. Hamilton documents the existence of different analytic cultures, each shaped by a need to maintain inner consistency among fundamental assumptions and also by extratheoretical factors, including geography, collegial experiences, and exposure to particular teachers and supervisors. A major contribution to understanding the pluralism of contemporary psychoanalysis, The Analyst's Preconscious is also a celebration of the dedication and sensitivity with which contemporary analysts seek to organize their therapeutic practices amidst the welter of proliferating concepts and rival schools of thought. Coming at a critical juncture in the history of the field, this work is indispensable to all who care about psychoanalytic culture and psychoanalytic practice, and especially about the analyst's real-world adaptation to the theoretical turbulence of our time.
Author: Victoria Hamilton
What do you do when you realize that the data set from the study that you have just completed violates the sample size or other requirements needed to apply parametric statistics? Nonparametric Statistics for Health Care Research by Marjorie A. Pett was developed for such scenarios—research undertaken with limited funds, often using a small sample size, with the primary objective of improving client care and obtaining better client outcomes. Covering the most commonly used nonparametric statistical techniques available in statistical packages and on open-resource statistical websites, this well-organized and accessible Second Edition helps readers, including those beyond the health sciences field, to understand when to use a particular nonparametric statistic, how to generate and interpret the resulting computer printouts, and how to present the results in table and text format.
Statistics for Small Samples and Unusual Distributions
Author: Marjorie A. Pett
Publisher: SAGE Publications
Category: Social Science
This self-instructional manual on the interpretation and use of epidemiologic data deals with the basic concepts and skills needed for the appraisal of published reports or one's own findings. Applications in clinical medicine, public health, community medicine, and research are all taken into consideration. Making Sense of Data is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with epidemiologic tools. Basic concepts are presented in the first section, which also demonstrates the step-by-step assessment of data. The next section discusses rates and other simple measures, and the third shows how to judge their accuracy. Section IV and V deal with more complex issues of associations between variables and the appraisal of cause-effect relationships. Section VI deals with meta-analysis (the critical review and integration of the findings from separate studies) and section VII with the questions to be asked before deciding to apply study results in practice. Numerous changes have been made in this edition, including the addition of a section on the practical application of epidemiological findings, discussions of new topics (Cox proportional hazards regression, qualitative studies, ROC curves), and fresh examples.
A Self-Instruction Manual on the Interpretation of Epidemiological Data
Author: J. H. Abramson,Z. H. Abramson
Publisher: Oxford University Press
Factor Analysis is a genetic term for a somewhat vaguely delimited set of techniques for data processing, mainly applicable to the social and biological sciences. These techniques have been developed for the analysis of mutual relationships among a number of measurements made on a number of measurable entities. In the broad sense, factor analysis comprises a number of statistical models which yield testable hypotheses -- hypotheses that may confirm or disconfirm in terms of the usual statistical procedures for making tests of significance. It also comprises a number of simplifying procedures for the approximate description of data, which do not in any sense constitute disconfirmable hypotheses, except in the loose sense that they supply approximations to the data. In literature, the two types of analysis have often been confused. This book clarifies the concepts of factor analysis for students or professionals in the social sciences who wish to know the technique, rather than the mathematics, of factor theory. Mathematical concepts are described to have an intuitive meaning for the non-mathematical reader. An account of the elements of matrix algebra, in the appendix, and the (mathematical) notes following each chapter will help the reader who wishes to receive a more advanced treatment of the subject. Factor Analysis and Related Methods should prove a useful text for graduate and advanced undergraduate students in economics, the behavioral sciences, and education. Researchers and practitioners in those fields will also find this book a handy reference.
Author: Roderick P. McDonald
Publisher: Psychology Press
Praise for the First Edition “...a well-written book on data analysis and data mining that provides an excellent foundation...” —CHOICE “This is a must-read book for learning practical statistics and data analysis...” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available Traceis™ software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.
A Practical Guide to Exploratory Data Analysis and Data Mining
Author: Glenn J. Myatt,Wayne P. Johnson
Publisher: John Wiley & Sons
This book constitutes a clear, comprehensive, up-to-date introduction to the basic principles of psychological and educational assessment that underlie effective clinical decisions about childhood language disorders. Rebecca McCauley describes specific commonly used tools, as well as general approaches ranging from traditional standardized norm-referenced testing to more recent ones, such as dynamic and qualitative assessment. Highlighting special considerations in testing and expected patterns of performance, she reviews the challenges presented by children with a variety of problems--specific language impairment, hearing loss, mental retardation, and autism spectrum disorders. Three extended case examples illustrate her discussion of each of these target groups. Her overarching theme is the crucial role of well-formed questions as fundamental guides to decision making, independent of approach. Each chapter features lists of key concepts and terms, study questions, and recommended readings. Tables throughout offer succinct summaries and aids to memory. Students, their instructors, and speech-language pathologists continuing their professional education will all welcome this invaluable new resource. Distinctive features include: A comprehensive consideration of both psychometric and descriptive approaches to the characterization of children's language A detailed discussion of background issues important in the language assessment of the major groups of children with language impairment Timely information on assessment of change--a topic frequently not covered in other texts Extensive guidance on how to evaluate individual norm-referenced measures for adoption An extensive appendix listing about 50 measures used to assess language in children A test review guide that can be reproduced for use by readers.
Author: Rebecca J. McCauley
Publisher: Psychology Press
Category: Language Arts & Disciplines
A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results. Subsequent chapters feature newly added methods for the analysis of experiments with ordered treatments, including two parametric and nonparametric monotone analyses as well as approaches based on the robust general linear model and reversed ordinal logistic regression. Four groundbreaking chapters on single-case designs introduce powerful new analyses for simple and complex single-case experiments. This Second Edition also features coverage of advanced methods including: Simple and multiple analysis of covariance using both the Fisher approach and the general linear model approach Methods to manage assumption departures, including heterogeneous slopes, nonlinear functions, dichotomous dependent variables, and covariates affected by treatments Power analysis and the application of covariance analysis to randomized-block designs, two-factor designs, pre- and post-test designs, and multiple dependent variable designs Measurement error correction and propensity score methods developed for quasi-experiments, observational studies, and uncontrolled clinical trials Thoroughly updated to reflect the growing nature of the field, Analysis of Covariance and Alternatives is a suitable book for behavioral and medical scineces courses on design of experiments and regression and the upper-undergraduate and graduate levels. It also serves as an authoritative reference work for researchers and academics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.
Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
Author: Bradley Huitema
Publisher: John Wiley & Sons
Examining the extent to which trade adversely affects domestic workers, Making Sense of Anti-Trade Sentiment documents statistical relationships between exports and imports and domestic employment/wages.
International Trade and the American Worker
Author: R. White
Category: Business & Economics
Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables.
Author: Allan L. McCutcheon
In this book, Neven Sesardic defends the view that it is both possible and useful to measure the separate contributions of heredity and environment to the explanation of human psychological differences. He critically examines the view - very widely accepted by scientists, social scientists and philosophers of science - that heritability estimates have no causal implications and are devoid of any interest. In a series of clearly written chapters he introduces the reader to the problems and subjects the arguments to close philosophical scrutiny. His conclusion is that anti-heritability arguments are based on conceptual confusions and misunderstandings of behavioural genetics. His book is a fresh and compelling intervention in a very contentious debate.
Author: Neven Sesardic
Publisher: Cambridge University Press
'This excellent collection fills a gap in current debates in social, political and cultural theory.' --Professor Peter Wagner, European University Institute, Florence.
ethnicity, nationalism and globalisation
Author: Siniša Malešević,Mark Haugaard
Publisher: Pluto Pr
Category: Political Science
Making Sense of Education provides a contemporary introduction to the key issues in educational philosophy and theory. Exploring major past and present conceptions of education, teaching and learning, this book makes philosophy of education relevant to the professional practice of teachers and student teachers, as well of interest to those studying education as an academic subject. The book is divided into three parts: education, teaching and professional practice: issues concerning education, the role of the teacher, the relationship of educational theory to practice and the wider moral dimensions of pedagogy learning, knowledge and curriculum: issues concerning behaviourist and cognitive theories of learning, knowledge and meaning, curriculum aims and content and evaluation and assessment schooling, society and culture: issues of the wider social and political context of education concerning liberalism and communitarianism, justice and equality, differentiation, authority and discipline. This timely and up-to-date introduction assists all those studying and/or working in education to appreciate the main philosophical sources of and influences on present day thinking about education, teaching and learning
An Introduction to the Philosophy and Theory of Education and Teaching
Author: David Carr
The application of assessment frameworks hinges on human qualities and skills which are naturally prone to bias and inconsistency. Making Sense of Child and Family Assessment aims to support workers in analysing and making sense of the information gathered, and increasing accuracy and empathy in assessing the needs and risks for vulnerable children and young people. This book offers best practice guidance on how to analyse information gathered during the assessment of children and young people and their families. Good assessments take time and need to be appropriately resourced. A range of analytical tools are also needed if practitioners are to present assessments of children's needs which lead to meaningful care plans and improved outcomes. Helm introduces the key messages emerging from policy and research, and provides insights into today's multi-disciplinary practice. Professionals working in child welfare and protection roles, such as social workers, health visitors, midwives and teachers will find this practical guide to analysis invaluable in interpreting needs and outcomes.
How to Interpret Children's Needs
Author: Duncan Helm
Publisher: Jessica Kingsley Publishers
Category: Social Science
Can we make sense of anarchism or is that an oxymoron? Guided by the principle that someone else's rationality is not an empirical finding but a methodological presumption, this book addresses that question as it investigates the ideas and action of one of the most prominent and underrated anarchists of all times: the Italian, Errico Malatesta.
Errico Malatesta’s Experiments with Revolution, 1889-1900
Author: Davide Turcato