SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics


Author: Daniel J. Denis
Publisher: John Wiley & Sons
ISBN: 1119465788
Category: Mathematics
Page: 224
View: 4796
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Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to: Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts Make use of computational tools used by data analysis professionals. Focus on real-world application to apply concepts from the book to actual research Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.

Sozialwissenschaftliche Datenanalyse mit R

Eine Einführung
Author: Katharina Manderscheid
Publisher: Springer-Verlag
ISBN: 3658159022
Category: Social Science
Page: 278
View: 9721
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R ist eine kostenlos verfügbare OpenSource Programmiersprache und eine Arbeitsumgebung für statistische Datenanalyse und graphische Darstellungen und findet seit mehreren Jahren Eingang in verschiedenste Disziplinen. Von besonderem Nutzen ist R für sozialwissenschaftliche ForscherInnen, da hier neben den Standardtechniken eher spezifische Verfahren mit stärker visuellem Anteil, wie die Korrespondenzanalyse, integriert sind. Aber auch für tabellarische Darstellungen von Auswertungsergebnissen, die für Forschungsberichte und Veröffentlichungen verwendet werden können, erweist sich R flexibel und anpassungsfähig.

Applied Univariate, Bivariate, and Multivariate Statistics


Author: Daniel J. Denis
Publisher: John Wiley & Sons
ISBN: 1118632338
Category: MATHEMATICS
Page: 760
View: 7742
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Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations.--

SPSS 21


Author: Felix Brosius
Publisher: MITP-Verlags GmbH & Co. KG
ISBN: 382669063X
Category: Computers
Page: 1052
View: 4299
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SPSS ist ein umfangreiches Programm zur statistischen Datenanalyse, das inzwischen in der Version 21 vorliegt. In dem Buch wird das Programm umfassend beschrieben von der Bedienung der Oberfläche über die Dateneingabe bis hin zur Durchführung und Interpretation statistischer Analysen sowie dem Erstellen von Grafiken.

Sarstedt/Schütz, IBM SPSS Syntax

Eine anwendungsorientierte Einführung
Author: Marko Sarstedt,Tobias Schütz
Publisher: Vahlen
ISBN: 3800643626
Category: Business & Economics
Page: 196
View: 7701
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Der souveräne Umgang mit der SPSS Syntax bietet einen unschätzbaren Vorteil für die tägliche Arbeit von Anwendern, die mit der Analyse von Daten zu tun haben. Das Buch ist eine integrierte Einführung in die Steuersprache von IBM SPSS Statistics für Studenten, Forscher und Praktiker. Es behandelt neben den notwendigen Grundlagen die Themengebiete Datenaufbereitung, Datentrans-formation und -modifikation. Weitere Themengebiete umfassen die Makro- und Matrixsprache, die in der 2. Auflage deutlich erweitert worden sind. Die Neuauflage wurde von Grund auf neu bearbeitet und um zahlreiche typische Anwendungsbeispiele ergänzt, die anhand realer Daten u.?a. des J.?D. Power and Associates Customer Satisfaction Index veranschaulicht werden. Die zugehörigen Datensätze sind als kostenloses Zusatzmaterial im Internet erhältlich.

Applied Statistics: From Bivariate Through Multivariate Techniques

From Bivariate Through Multivariate Techniques
Author: Rebecca M. Warner
Publisher: SAGE
ISBN: 141299134X
Category: Mathematics
Page: 1172
View: 8338
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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

Basic Statistics in Multivariate Analysis


Author: Karen A. Randolph,Laura L. Myers
Publisher: Oxford University Press
ISBN: 0199982147
Category: Social Science
Page: 256
View: 8346
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The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.

Statistical Data Analysis Using Your Personal Computer


Author: Ira H. Bernstein,Nancy A. Rowe
Publisher: SAGE Publications, Incorporated
ISBN: N.A
Category: Business & Economics
Page: 446
View: 5952
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What should you see when you're analyzing real data using one of the major statistical packages, such as SPSS, SAS or Microsoft Excel? This book will show you, and will walk you through the output from a variety of statistical outcomes, such as data reflecting a single common factor. Through the use of actual demonstrations, the authors supply readers with the computer programs necessary to simulate data sets with the statistical properties (usually multivariate) that are often assumed of real data. The reader is then shown how to analyze these data sets and how to interpret the results. The book begins with a general introduction to doing research and tips for using the three statistical packages. The authors next explore how to create data structures and perform univariate, bivariate, and multivariate simulations. They then show how to use the simulations to understand common statistical algorithms and their outputs when doing a basic correlation analysis, exploratory factor analysis, confirmatory factor analysis, multidimensional scaling, multiple regression, discriminate analysis, classification analysis and MANOVA. Throughout the book, the authors provide the reader with helpful guides, such as: *Hint boxes to give readers tips for executing particular techniques using the statistical software packages. *Steps that show each stage of a procedure, such as importing an Excel file into SAS. *Problems end each chapter so the reader can practice the techniques described. *Web Site with the SAS and SPSS programs and sample data.

SPSS 16

Einführung in die moderne Datenanalyse
Author: Achim Bühl
Publisher: Pearson Deutschland GmbH
ISBN: 9783827373328
Category: SPSS (Computer system)
Page: 888
View: 6899
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Die Standardeinführung für SPSS ist auf der Basis zahlreicher neuer Datensätze für die Version 16 vollständig überarbeitet und erweitert worden. Ausgehend von Problemstellungen aus der Praxis wird gezeigt, wie Sie mit SPSS arbeiten können. Die Beispiele basieren meist auf Fallstudien und sind vor allem dem sozialwissenschaftlichen und dem psychologisch-medizinischen Bereich entnommen. Der Autor beschreibt ausführlich den kompletten statistischen Inhalt der Module Base, Regression Models und Advanced Models. In der 11. Auflage des Werks nimmt erstmals auch die Korrespondenzanalyse einen breiten Raum ein; ein Verfahren, das immer häufiger eingesetzt wird und Zusammenhänge von Variablen optisch als Punkte eines geometrischen Raums aufbereitet.

Adventures in Social Research

Data Analysis Using IBM SPSS Statistics
Author: Earl Babbie,William E. Wagner, III,Jeanne Zaino
Publisher: SAGE Publications
ISBN: 1506362788
Category: Social Science
Page: 512
View: 5850
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Inspire students to pursue their own adventures in social research with this practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics from Earl Babbie, William E. Wagner, III, and Jeanne Zaino offers a practical, hands-on introduction to the logic of social science research for students in many disciplines. The fully revised Tenth Edition offers step-by-step instruction on data analysis using the latest version (24.0) of SPSS and current data from the General Social Survey. Organized to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. The range of topics, from beginning to advanced, make Adventures in Social Research appropriate for both undergraduate and graduate courses.

Adventures in Social Research

Data Analysis Using IBM SPSS Statistics
Author: Earl R. Babbie,William E. Wagner, III,Fred S. Halley
Publisher: Pine Forge Press
ISBN: 1412982448
Category: Social Science
Page: 430
View: 8350
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Click on the Supplements tab above for further details on the different versions of SPSS programs.

Deskriptive Statistik und moderne Datenanalyse

Eine computergestützte Einführung mit Excel, PASW (SPSS) und STATA
Author: Thomas Cleff
Publisher: Springer-Verlag
ISBN: 3834970719
Category: Business & Economics
Page: 227
View: 7518
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Dieses Lehrbuch führt praxisorientiert in die Grundlagen, Techniken und Anwendungs-möglichkeiten der deskriptiven Statistik ein und deckt alle wichtigen Aspekte einer Lehrveranstaltung zum Thema ab. Es behandelt die Basismethoden der uni- und bivariaten Verfahren, die mit Hilfe computerbasierter Berechnungen auf betriebswirtschaftliche Beispiele angewendet werden. Studierende gewinnen die Kompetenz, deskriptive Verfahren effizient in den Computerprogrammen Excel, PASW (SPSS) und STATA anzuwenden, selbstständig Ergebnisse zu berechnen und vor allem zu interpretieren. Zugunsten eines intuitiven Ansatzes verzichtet das Buch dabei weitgehend auf mathematische Darstellungen und Herleitungen. Die vorliegende zweite Auflage wurde an die aktuellen Software-Updates angepasst und um ein neues Kapitel zur Indexrechnung ergänzt. Zahlreiche Aufgaben mit Lösungen unterstützen eine gezielte Prüfungsvorbereitung.

Business Research Methods


Author: William G. Zikmund
Publisher: Harcourt College Pub
ISBN: 9780030258176
Category: Business
Page: 660
View: 8824
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Covering topics in business research this text employs numerous examples to illustrate real-world research in management marketing finance accounting and other areas of business.

Statistik-Workshop für Programmierer


Author: Allen B. Downey
Publisher: O'Reilly Germany
ISBN: 3868993436
Category: Computers
Page: 160
View: 9517
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Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Data Analysis with SPSS

A First Course in Applied Statistics
Author: Stephen A. Sweet,Karen Grace-Martin
Publisher: Allyn & Bacon
ISBN: 9780205483877
Category: Mathematics
Page: 273
View: 7741
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ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase. -- Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today. Written in ten manageable chapters, this book first introduces students to the approach researchers use to frame research questions and the logic of establishing causal relations. Students are then oriented to the SPSS program and how to examine data sets. Subsequent chapters guide them through univariate analysis, bivariate analysis, graphic analysis, and multivariate analysis. Students conclude their course by learning how to write a research report and by engaging in their own research project. Each book is packaged with a disk containing the GSS (General Social Survey) file and the States data files. The GSS file contains 100 variables generated from interviews with 2,900 people, concerning their behaviors and attitudes on a wide variety of issues such as abortion, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, environment, criminality, population, and education. Students will ultimately use these data to conduct their own independent research project with SPSS. Note: MySearchLab does not come automatically packaged with this text. To purchase MySearchLab, please visit: www.mysearchlab.com or you can purchase a ValuePack of the text + MySearchLab with Pearson eText (at no additional cost). ValuePack ISBN-10: 0205863728 / ValuePack ISBN-13: 9780205863723

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition


Author: Robert Ho
Publisher: CRC Press
ISBN: 1439890226
Category: Mathematics
Page: 600
View: 8479
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Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second Edition Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation New section on how to deal with missing data Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity Discussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis, path analysis (test of the mediation hypothesis), and structural equation modeling Suitable for both newcomers and seasoned researchers in the social sciences, the handbook offers a clear guide to selecting the right statistical test, executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods, and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.

Performing Data Analysis Using IBM SPSS


Author: Lawrence S. Meyers,Glenn C. Gamst,A. J. Guarino
Publisher: John Wiley & Sons
ISBN: 1118363574
Category: Mathematics
Page: 736
View: 4271
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Features easy-to-follow insight and clear guidelines to performdata analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquelyaddresses the presented statistical procedures with an exampleproblem, detailed analysis, and the related data sets. Data entryprocedures, variable naming, and step-by-step instructions for allanalyses are provided in addition to IBM SPSS point-and-clickmethods, including details on how to view and manipulateoutput. Designed as a user’s guide for students and otherinterested readers to perform statistical data analysis with IBMSPSS, this book addresses the needs, level of sophistication, andinterest in introductory statistical methodology on the part ofreaders in social and behavioral science, business, health-related,and education programs. Each chapter of Performing Data AnalysisUsing IBM SPSS covers a particular statistical procedure andoffers the following: an example problem or analysis goal, togetherwith a data set; IBM SPSS analysis with step-by-step analysis setupand accompanying screen shots; and IBM SPSS output with screenshots and narrative on how to read or interpret the results of theanalysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categoricalvariables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellenttext for upper-undergraduate and graduate-level students in courseson social, behavioral, and health sciences as well as secondaryeducation, research design, and statistics. Also an excellentreference, the book is ideal for professionals and researchers inthe social, behavioral, and health sciences; applied statisticians;and practitioners working in industry.

Applied Statistics

From Bivariate Through Multivariate Techniques
Author: Rebecca M. Warner
Publisher: SAGE
ISBN: 0761927727
Category: Mathematics
Page: 1101
View: 8062
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With an approach that does not require formal mathematics (equations are accompanied by verbal explanations), this textbook provides a clear introduction to widely used topics in multivariate statistics, including Multiple Regression, Discriminant Analysis, MANOVA, Factor Analysis, and Binary Logistic Regression. Each chapter presents a complete empirical research example to illustrate the application of a specific method, such as Multiple Regression. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

Übungsbuch Statistik für Dummies


Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
ISBN: 3527809309
Category: Mathematics
Page: 368
View: 1445
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Haben Sie Probleme mit Statistik und sehen weder Anfang noch Ende? Da hilft nur üben, üben, üben. Aber keine Sorge! Dieses Buch zeigt Ihnen mit vielen Beispielen und Schritt-für-Schritt-Lösungswegen, wie Sie verschiedene Aufgabenstellungen richtig angehen. Von arithmetischem Mittel über Normalverteilung und Wahrscheinlichkeitsrechnung bis Konfidenzintervall und zentraler Grenzwertsatz sind alle wichtigen Themengebiete vertreten. Dank einer kurzen Wiederholung der Grundlagen und Hunderten Übungen können Sie der Statistik schon bald furchtlos gegenübertreten. Viel Spaß beim Üben!

Multivariable Analysis

A Practical Guide for Clinicians
Author: Mitchell H. Katz
Publisher: Cambridge University Press
ISBN: 9780521549851
Category: Medical
Page: 203
View: 4505
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How to perform and interpret multivariable analysis, using plain language rather than complex derivations.