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
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
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
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
Wir sind umgeben von Zahlen. Ob auf Kreditkarten gestanzt oder auf Münzen geprägt, ob auf Schecks gedruckt oder in den Spalten computerisierter Tabellen aufgelistet, überall beherrschen Zahlen unser Leben. Sie sind auch der Kern unserer Technologie. Ohne Zahlen könnten wir weder Raketen starten, die das Sonnensystem erkunden, noch Brücken bauen, Güter austauschen oder Rech nungen bezahlen. In gewissem Sinn sind Zahlen also kulturelle Erfindungen, die sich ihrer Bedeutung nach nur mit der Landwirtschaft oder mit dem Rad vergleichen lassen. Aber sie könnten sogar noch tiefere Wurzeln haben. Tausende von Jahren vor Christus benutzten babylonische Wissenschaftler Zahlzeichen, um erstaun lich genaueastronomische Tabellen zu berechnen. Zehntausende von Jahren zuvor hatten Menschen der Steinzeit die ersten geschriebenen Zahlenreihen geschaffen, indem sie Knochen einkerbten oder Punkte auf Höhlenwände malten. Und, wie ich später überzeugend darzustellen hoffe, schon vor weiteren Millionen von Jahren, lange bevor es Menschen gab, nahmen Tiere aller Arten Zahlen zur Kenntnis und stellten mit ihnen einfache Kopfrechnungen an. Sind Zahlen also fast so alt wie das Leben selbst? Sind sie in der Struktur unseres Gehirns verankert? Besitzen wir einen Zahlensinn, eine spezielle Intuition, die uns hilft, Zahlen und Mathematik mit Sinn zu erfüllen? Ich wurde vor fünfzehn Jahren, während meiner Ausbildung zum Mathema tiker, fasziniert von den abstrakten Objekten, mit denen ich umzugehen lernte, vor allem von den einfachsten von ihnen- den Zahlen.
Author: Stanislas Dehaene
A Practical Guide to Exploratory Data Analysis and Data Mining
Author: Glenn J. Myatt
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
Mehrere Jahre musste der österreichische Psychologe Viktor E. Frankl in deutschen Konzentrationslagern verbringen. Doch trotz all des Leids, das er dort sah und erlebte, kam er zu dem Schluss, dass es selbst an Orten der größten Unmenschlichkeit möglich ist, einen Sinn im Leben zu sehen. Seine Erinnerungen, die er in diesem Buch festhielt und die über Jahrzehnte Millionen von Menschen bewegten, sollen weder Mitleid erregen noch Anklage erheben. Sie sollen Kraft zum Leben geben.
Ein Psychologe erlebt das Konzentrationslager
Author: Viktor E. Frankl
Auch nach 25 Jahren hat "Die 7 Wege zur Effektivität" von Stephen R. Covey weder an Relevanz noch an Aktualität verloren. Die zentrale Botschaft des Buches: Nicht angelernte Erfolgstechniken, sondern Charakter, Kompetenz und Vertrauen führen zu einem erfüllten und erfolgreichen Leben. Die Snapshots Edition präsentiert übersichtlich und kompakt in anschaulichen Infografiken die wichtigsten Inhalte eines der am meisten gelesenen Businessbücher weltweit. Fokussiert auf Stephen R. Coveys Kernthesen ermöglicht die Snapshots Edition einen modernen Zugang zu einem zeitlosen Businessklassiker.
Prinzipien für persönlichen und beruflichen Erfolg
Author: Stephen R. Covey
Publisher: GABAL Verlag GmbH
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
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