Discovering statistics using IBM SPSS statistics

Gespeichert in:

Werktitel:	Discovering statistics using SPSS [Field, Andy, 1973-]

Autor*in:	Field, Andy - 1973- [verfasserIn]

Format:	Buch
Sprache:	Englisch

Erschienen:	Los Angeles London New Delhi Singapore Washington DC Melbourne: Sage ; 2024 © 2024
Ausgabe:	6th edition

Schlagwörter:	SPSS / Statistik
Schlagwörter:	handbooks statistics usage data analysis learning education data processing statistical analysis statistical data mathematics
Formangabe:	Lehrbuch

Systematik:	ST 320 ZX 7030 QH 231 CM 4000 ST 670 SK 850 CM 4400 ST 610 AP 13900 MR 2200 SK 830 QH 254 ST 601

Anmerkung:	Literaturverzeichnis: Seite 1079-1094 und Index
Umfang:	xxxii, 1110 Seiten ; Illustrationen, Diagramme ; 26 cm

Links:	Inhaltsverzeichnis
ISBN:	978-1-5296-3000-8 978-1-5296-3001-5

Katalog-ID:	1883496640

Internformat


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title_full	Discovering statistics using IBM SPSS statistics Andy Field
author_sort	Field, Andy 1973-
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author-letter	Field, Andy
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title_sort	discovering statistics using ibm spss statistics
title_auth	Discovering statistics using IBM SPSS statistics
abstract	Literaturverzeichnis: Seite 1079-1094 und Index
abstractGer	Literaturverzeichnis: Seite 1079-1094 und Index
abstract_unstemmed	Literaturverzeichnis: Seite 1079-1094 und Index
url	http://www.gbv.de/dms/bowker/toc/9781529630008.pdf
callnumber-subject	QA - Mathematics
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allfields_unstemmed	9781529630008 paperback 978-1-5296-3000-8 9781529630015 hardback 978-1-5296-3001-5 (DE-627)1883496640 (DE-599)BVBBV049509960 (OCoLC)1429281484 (DE-604)BV049509960 DE-627 ger DE-627 rda eng XD-US QA273 300.285555 ST 320 rvk (DE-625)rvk/143657: ZX 7030 rvk (DE-625)rvk/158440:14257 QH 231 rvk (DE-625)rvk/141546: CM 4000 rvk (DE-625)rvk/18951: ST 670 rvk (DE-625)rvk/143689: SK 850 rvk (DE-625)rvk/143263: CM 4400 rvk (DE-625)rvk/18955: ST 610 rvk (DE-625)rvk/143683: AP 13900 rvk (DE-625)rvk/6891: MR 2200 rvk (DE-625)rvk/123489: SK 830 rvk (DE-625)rvk/143259: QH 254 rvk (DE-625)rvk/141564: ST 601 rvk (DE-625)rvk/143682: 31.73 bkl 54.81 bkl 70.03 bkl 77.03 bkl Field, Andy 1973- verfasserin (DE-588)128714581 (DE-627)378310763 (DE-576)186310501 aut Discovering statistics using SPSS Discovering statistics using IBM SPSS statistics Andy Field 6th edition Los Angeles London New Delhi Singapore Washington DC Melbourne Sage [2024] © 2024 xxxii, 1110 Seiten Illustrationen, Diagramme 26 cm Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Literaturverzeichnis: Seite 1079-1094 und Index handbooks statistics usage data analysis learning education data processing statistical analysis statistical data mathematics Lehrbuch (DE-588)4123623-3 (DE-627)104270187 (DE-576)209561262 gnd-content s (DE-588)4056588-9 (DE-627)106154427 (DE-576)209118148 SPSS gnd s (DE-588)4056995-0 (DE-627)106152955 (DE-576)209119799 Statistik gnd DE-101 s (DE-588)4056588-9 (DE-627)106154427 (DE-576)209118148 SPSS gnd s (DE-588)4056995-0 (DE-627)106152955 (DE-576)209119799 Statistik gnd (DE-627) http://www.gbv.de/dms/bowker/toc/9781529630008.pdf DE-601 pdf/application 2024-05-28 Aggregator Inhaltsverzeichnis GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i07603 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_245 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2001 ISIL_DE-21 GBV_ILN_2005 ISIL_DE-291-114 GBV_ILN_2010 ISIL_DE-15 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2016 ISIL_DE-93-104 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2065 ISIL_DE-958 GBV_ILN_2105 ISIL_DE-1019 GBV_ILN_2147 ISIL_DE-1090 GBV_ILN_2148 ISIL_DE-950 ST 320 Computergrafik Informatik Monografien Einzelne Anwendungen der Datenverarbeitung Computergrafik (DE-627)1270945688 (DE-625)rvk/143657: (DE-576)200945688 ZX 7030 Allgemeines; Einführungen Sport Sportwissenschaft Theorie des Sports Methoden der Sportwissenschaft (Statistik, Informationstechnologie, Testverfahren u.a.) Allgemeines; Einführungen (DE-627)1271477149 (DE-625)rvk/158440:14257 (DE-576)201477149 QH 231 Einführende Lehrbücher Wirtschaftswissenschaften Mathematik. Statistik. Ökonometrie. Unternehmensforschung Statistik Theoretische Statistik Einführende Lehrbücher (DE-627)1271479206 (DE-625)rvk/141546: (DE-576)201479206 CM 4000 Statistik Psychologie Allgemeines. Geschichte und Methodik Statistik (DE-627)127151964X (DE-625)rvk/18951: (DE-576)20151964X ST 670 Pädagogik, Psychologie Informatik Monografien Einzelne Anwendungen der Datenverarbeitung Datenverarbeitung in Anwendungsgebieten Pädagogik, Psychologie (DE-627)1271610310 (DE-625)rvk/143689: (DE-576)201610310 SK 850 Angewandte Statistik, Tabellen Mathematik Monografien Wahrscheinlichkeitstheorie Angewandte Statistik, Tabellen (DE-627)1271156261 (DE-625)rvk/143263: (DE-576)201156261 CM 4400 Datenanalyse Psychologie Allgemeines. Geschichte und Methodik Datenanalyse (DE-627)1271637596 (DE-625)rvk/18955: (DE-576)201637596 ST 610 Wirtschaftswissenschaften Informatik Monografien Einzelne Anwendungen der Datenverarbeitung Datenverarbeitung in Anwendungsgebieten Wirtschaftswissenschaften (DE-627)1270945718 (DE-625)rvk/143683: (DE-576)200945718 AP 13900 Statistik Allgemeines Medien- und Kommunikationswissenschaften, Medienkulturwissenschaft, Kommunikationsdesign Theorie und Methodik Statistik (DE-627)1270684353 (DE-625)rvk/6891: (DE-576)200684353 MR 2200 Datenverarbeitung und Kybernetik für Soziologen Soziologie Sozialwissenschaftliche Theorien und Methoden Methoden der Sozialforschung Datenverarbeitung und Kybernetik für Soziologen (DE-627)1271427508 (DE-625)rvk/123489: (DE-576)201427508 SK 830 Statistische Entscheidungstheorie Mathematik Monografien Wahrscheinlichkeitstheorie Statistische Entscheidungstheorie (DE-627)1270877526 (DE-625)rvk/143259: (DE-576)200877526 QH 254 Statistische Methoden in der Psychologie. Meßmethoden (Skalierung). Psychologische Testtheorie Wirtschaftswissenschaften Mathematik. Statistik. Ökonometrie. Unternehmensforschung Statistik Sonstige Anwendungsgebiete der Statistik Statistische Methoden in der Psychologie. Meßmethoden (Skalierung). Psychologische Testtheorie (DE-627)1271508311 (DE-625)rvk/141564: (DE-576)201508311 ST 601 Einzelne Systeme (alphabetisch) Informatik Monografien Einzelne Anwendungen der Datenverarbeitung Datenverarbeitung in Anwendungsgebieten Mathematik, Statistik Einzelne Systeme (alphabetisch) (DE-627)127114283X (DE-625)rvk/143682: (DE-576)20114283X 31.73 Mathematische Statistik (DE-627)106418998 54.81 Anwendungssoftware (DE-627)106418874 70.03 Methoden, Techniken und Organisation der sozialwissenschaftlichen Forschung (DE-627)106414097 77.03 Methoden und Techniken der Psychologie (DE-627)106418386 BO 045F 300.285555 22 01 0018 4510464193 00 18/76 MR 2200 F453(6) i --%%-- FWSSOZ202404 zi07603 16-04-24 31 01 0027 4536418237 00 J 142 WIR:GF:450:F453:(6):2024 d --%%-- z 22-07-24 34 01 3551 4509600852 00 18/302 Dat 540 84/6.A. c --%%-- zi002 10-04-24 34 02 3551 4509606648 00 18/302 Dat 540 84/6.A. a c --%%-- zi002 10-04-24 39 01 0547 4589731827 00 LS ST 601 S69 F453(6) b --%%-- zet1 28-10-24 39 02 0547 4603609310 00 LS ST 601 S69 F453(6) b --%%-- zet1 28-10-24 39 03 0547 4603609477 00 LS ST 601 S69 F453(6) b --%%-- zet1 28-10-24 100 01 3100 4560104840 00 FH 2024.01374:1 u --%%-- k 21-08-24 245 01 3245/003 4535012261 00 VFHS-FB Polizei INF 51-4-6 g --%%-- zIS003 06-06-24 370 01 4370 4506690532 00 EG ST 601 SPSS 010 u --%%-- z 03-04-24 2001 01 DE-21 4580596552 00 --%%-- 64 B 306 --%%-- --%%-- l01 17-09-24 2005 01 DE-291-114 4512139613 00 --%%-- BF-5-730:6 / 3x IKV / DTOM p --%%-- l01 15-04-24 2010 01 DE-15 4515167324 00 --%%-- --%%-- --%%-- --%%-- l01 23-04-24 2011 01 DE-16 4591079015 00 --%%-- bestellt e --%%-- l01 10-10-24 2016 01 DE-93-104 4509055145 00 --%%-- T 2/118(6) p n (43.29180) l01 09-04-24 2027 01 DE-105 4585052240 00 --%%-- 24.1676 4. --%%-- --%%-- l01 01-10-24 2034 01 DE-Rt2 4513557982 00 --%%-- I 5-740-119/6 --%%-- l l01 19-04-24 2065 01 DE-958 4500428046 00 --%%-- Wcr 41 --%%-- l l01 15-03-24 2105 01 DE-1019 4530714829 00 --%%-- PS 56-59c --%%-- n l01 28-05-24 2147 01 DE-1090 4513396822 00 --%%-- INF 6.55 Fie --%%-- l l01 18-04-24 2148 01 DE-950 4523380600 00 --%%-- inf 6.55/43 --%%-- l l01 15-05-24 22 01 0018 00 MR 2200 22 01 0018 01 AP 13900 31 00 DE-27 00 WIR:GF:450 39 00 DE-547 00 ST 601 39 00 DE-547 01 CM 4000 100 00 DE-Ma9 00 B. 282 2027 01 DE-105 00 (DE-627)1292189096 QH 234 2027 01 DE-105 00 (DE-627)1292368187 QH 254 2027 01 DE-105 00 (DE-627)1292183322 DK 681.3.066 22 01 0018 962859225 31 01 0027 27$032379528 34 01 3551 TW100861 34 02 3551 TW100862 39 01 0547 547$200354485 39 02 0547 547$200354493 39 03 0547 547$200354507 100 01 3100 MA9$008222401 245 01 3245/003 ME7$000154377 370 01 4370 HC058586 22 01 0018 2024/319 31 01 0027 U659649 34 01 3551 tw24.0034 34 02 3551 tw24.0035 39 01 0547 2024026232 39 02 0547 2024026233 39 03 0547 2024026234 245 01 3245/003 24/86: 370 01 4370 2024-0295 22 01 0018 FWSSOZ202404 22 01 0018 FWSJOUR202404 22 01 0018 h76rvk2024neu 31 01 0027 WIR 202407 370 01 4370 202405 2001 01 DE-21 2411 38 2005 01 DE-291-114 2406
allfieldsGer	9781529630008 paperback 978-1-5296-3000-8 9781529630015 hardback 978-1-5296-3001-5 (DE-627)1883496640 (DE-599)BVBBV049509960 (OCoLC)1429281484 (DE-604)BV049509960 DE-627 ger DE-627 rda eng XD-US QA273 300.285555 ST 320 rvk (DE-625)rvk/143657: ZX 7030 rvk (DE-625)rvk/158440:14257 QH 231 rvk (DE-625)rvk/141546: CM 4000 rvk (DE-625)rvk/18951: ST 670 rvk (DE-625)rvk/143689: SK 850 rvk (DE-625)rvk/143263: CM 4400 rvk (DE-625)rvk/18955: ST 610 rvk (DE-625)rvk/143683: AP 13900 rvk (DE-625)rvk/6891: MR 2200 rvk (DE-625)rvk/123489: SK 830 rvk (DE-625)rvk/143259: QH 254 rvk (DE-625)rvk/141564: ST 601 rvk (DE-625)rvk/143682: 31.73 bkl 54.81 bkl 70.03 bkl 77.03 bkl Field, Andy 1973- verfasserin (DE-588)128714581 (DE-627)378310763 (DE-576)186310501 aut Discovering statistics using SPSS Discovering statistics using IBM SPSS statistics Andy Field 6th edition Los Angeles London New Delhi Singapore Washington DC Melbourne Sage [2024] © 2024 xxxii, 1110 Seiten Illustrationen, Diagramme 26 cm Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Literaturverzeichnis: Seite 1079-1094 und Index handbooks statistics usage data analysis learning education data processing statistical analysis statistical data mathematics Lehrbuch (DE-588)4123623-3 (DE-627)104270187 (DE-576)209561262 gnd-content s (DE-588)4056588-9 (DE-627)106154427 (DE-576)209118148 SPSS gnd s (DE-588)4056995-0 (DE-627)106152955 (DE-576)209119799 Statistik gnd DE-101 s (DE-588)4056588-9 (DE-627)106154427 (DE-576)209118148 SPSS gnd s (DE-588)4056995-0 (DE-627)106152955 (DE-576)209119799 Statistik gnd (DE-627) http://www.gbv.de/dms/bowker/toc/9781529630008.pdf DE-601 pdf/application 2024-05-28 Aggregator Inhaltsverzeichnis GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i07603 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_245 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2001 ISIL_DE-21 GBV_ILN_2005 ISIL_DE-291-114 GBV_ILN_2010 ISIL_DE-15 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2016 ISIL_DE-93-104 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2065 ISIL_DE-958 GBV_ILN_2105 ISIL_DE-1019 GBV_ILN_2147 ISIL_DE-1090 GBV_ILN_2148 ISIL_DE-950 ST 320 Computergrafik Informatik Monografien Einzelne Anwendungen der Datenverarbeitung Computergrafik (DE-627)1270945688 (DE-625)rvk/143657: (DE-576)200945688 ZX 7030 Allgemeines; Einführungen Sport Sportwissenschaft Theorie des Sports Methoden der Sportwissenschaft (Statistik, Informationstechnologie, Testverfahren u.a.) Allgemeines; Einführungen (DE-627)1271477149 (DE-625)rvk/158440:14257 (DE-576)201477149 QH 231 Einführende Lehrbücher Wirtschaftswissenschaften Mathematik. Statistik. Ökonometrie. Unternehmensforschung Statistik Theoretische Statistik Einführende Lehrbücher (DE-627)1271479206 (DE-625)rvk/141546: (DE-576)201479206 CM 4000 Statistik Psychologie Allgemeines. Geschichte und Methodik Statistik (DE-627)127151964X (DE-625)rvk/18951: (DE-576)20151964X ST 670 Pädagogik, Psychologie Informatik Monografien Einzelne Anwendungen der Datenverarbeitung Datenverarbeitung in Anwendungsgebieten Pädagogik, Psychologie (DE-627)1271610310 (DE-625)rvk/143689: (DE-576)201610310 SK 850 Angewandte Statistik, Tabellen Mathematik Monografien Wahrscheinlichkeitstheorie Angewandte Statistik, Tabellen (DE-627)1271156261 (DE-625)rvk/143263: (DE-576)201156261 CM 4400 Datenanalyse Psychologie Allgemeines. Geschichte und Methodik Datenanalyse (DE-627)1271637596 (DE-625)rvk/18955: (DE-576)201637596 ST 610 Wirtschaftswissenschaften Informatik Monografien Einzelne Anwendungen der Datenverarbeitung Datenverarbeitung in Anwendungsgebieten Wirtschaftswissenschaften (DE-627)1270945718 (DE-625)rvk/143683: (DE-576)200945718 AP 13900 Statistik Allgemeines Medien- und Kommunikationswissenschaften, Medienkulturwissenschaft, Kommunikationsdesign Theorie und Methodik Statistik (DE-627)1270684353 (DE-625)rvk/6891: (DE-576)200684353 MR 2200 Datenverarbeitung und Kybernetik für Soziologen Soziologie Sozialwissenschaftliche Theorien und Methoden Methoden der Sozialforschung Datenverarbeitung und Kybernetik für Soziologen (DE-627)1271427508 (DE-625)rvk/123489: (DE-576)201427508 SK 830 Statistische Entscheidungstheorie Mathematik Monografien Wahrscheinlichkeitstheorie Statistische Entscheidungstheorie (DE-627)1270877526 (DE-625)rvk/143259: (DE-576)200877526 QH 254 Statistische Methoden in der Psychologie. 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fulltext	Preface xv How to Use This Book xxi Thank You xxv Symbols Used in this Book xxviii A Brief Maths Overview xxx Why is My Evil Lecturer Forcing Me to Learn Statistics? … What the hell am I doing here? I don't belong here … The research process … Initial observation: finding something that needs explaining … Generating and testing theories and hypotheses … Collecting data: measurement … Collecting data: research design … Analysing data … Reporting data … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … The Spine of Statistics … What will this chapter tell me? … What is the SPINE of statistics? … Statistical models … Populations and samples … The linear model … P is for parameters … E is for estimating parameters … S is for standard error … I is for (confidence) interval … N is for null hypothesis significance testing … Reporting significance tests … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … The Phoenix of Statistics … What will this chapter tell me? … Problems with NHST … NHST as part of wider problems with science … A phoenix from the EMBERS … Sense, and how to use it … Preregistering research and open science … Effect sizes … Bayesian approaches … Reporting effect sizes and Bayes factors … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … The IBM SPSS Statistics Environment … What will this chapter tell me? … Versions of IBM SPSS Statistics … Windows, Mac OS and Linux … Getting started … The data editor … Entering data into IBM SPSS Statistics … SPSS syntax … The SPSS viewer … Exporting SPSS output … Saving files and restore points … Opening files and restore points … A few useful options … Extending IBM SPSS Statistics … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Visualizing Data … What will this chapter tell me? … The art of visualizing data … The SPSS Chart Builder … Histograms … Boxplots (box-whisker diagrams) … Visualizing means: bar charts and error bars … Line charts … Visualizing relationships: the scatterplot … Editing plots … Brian and Jane's story … What next? … Key terms that I've discovered … Smart Alex's tasks … The Beast of Bias … What will this chapter tell me? … Descent into statistics hell … What is bias? … Outliers … Overview of assumptions … Linearity and additivity … Spherical errors … Normally distributed something or other … Checking for bias and describing data … Reducing bias with robust methods … A final note … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Non-Parametric Models … What will this chapter tell me? … When to use non-parametric tests … General procedure of non-parametric tests using SPSS … Comparing two independent conditions: the Wilcoxon rank-sum test and Mann-Whitney test … Comparing two related conditions: the Wilcoxon signed-rank test … Differences between several independent groups: the Kruskai-Wallis test … Differences between several related groups: Friedman's ANOVA … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Correlation … What will this chapter tell me? … Modelling relationships … Data entry for correlation analysis … Bivariate correlation … Partial and semi-partial correlation … Comparing correlations … Calculating the effect size … How to report correlation coefficients … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … The Linear Model (Regression) … What will this chapter tell me? … The linear model (regression) … again! … Bias in linear models … Generalizing the model … Sample size and the linear model … Fitting linear models: the general procedure … Using SPSS to fit a linear model with one predictor … Interpreting a linear model with one predictor … The linear model with two or more predictors (multiple regression) … Using SPSS to fit a linear model with several predictors … Interpreting a linear mode! with several predictors … Robust regression … Bayesian regression … Reporting linear models … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Categorical Predictors: Comparing Two Means … What will this chapter tell me? … Looking at differences … A mischievous example … Categorical predictors in the linear model … The t-test … Assumptions of the t-test … Comparing two means: general procedure … Comparing two independent means using SPSS … Comparing two related means using SPSS … Reporting comparisons between two means … Between groups or repeated measures? … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Moderation and Mediation … What will this chapter tell me? … The PROCESS toot … Moderation: interactions in the linear model … Mediation … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Comparing Several Independent Means … What will this chapter tell me? … A puppy-tastic example … Compare several means with the linear model … Assumptions when comparing means … Planned contrasts (contrast coding) … Post hoc procedures … Effect sizes when comparing means … Comparing several means using SPSS … Output from one-way independent ANOVA … Robust comparisons of several means … Bayesian comparison of several means … Reporting results from one-way independent ANOVA … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Comparing Means Adjusted for Other Predictors (Analysis of Covariance) … What will this chapter tell me? … What is ANCOVA? … The general linear model with covariates … Effect size for ANCOVA … Assumptions and issues in ANCOVA designs … Conducting ANCOVA using SPSS … Interpreting ANCOVA … The non-parallel slopes model and the assumption of homogeneity of regression slopes … Robust ANCOVA … Bayesian analysis with covariates … Reporting results … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Factorial Designs … What will this chapter tell me? … Factorial designs … A goggly example … Independent factorial designs and the linear model … Interpreting Interaction plots … Simple effects analysis … F-statistics in factorial designs … Model assumptions in factorial designs … Factorial designs using SPSS … Output from factorial designs … Robust models of factorial designs … Bayesian models of factorial designs … More effect sizes … Reporting the results of factorial designs … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Repeated-Measures Designs … What will this chapter tell me? … Introduction to repeated-measures designs … Emergency! The aliens are coming! … Repeated measures and the linear model … The AN OVA approach to repeated-measures designs … The F-statistic for repeated-measures designs … Assumptions in repeated-measures designs … One-way repeated-measures designs using SPSS … Output for one-way repeated-measures designs … Robust tests of one-way repeated-measures designs … Effect sizes for one-way repeated-measures designs … Reporting one-way repeated-measures designs … A scented factorial repeated-measures design … Factorial repeated-measures designs using SPSS … Interpreting factorial repeated-measures designs … Reporting the results from factorial repeated-measures designs … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Mixed Designs … What will this chapter tell me? … Mixed designs … Assumptions in mixed designs … A speed-dating example … Mixed designs using SPSS … Output for mixed factorial designs … Reporting the results of mixed designs … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Multivariate Analysis of Variance (MANOVA) … What will this chapter tell me? … Introducing MANOVA … The theory behind MANOVA … Practical issues when conducting MANOVA … MANOVA using SPSS … Interpreting MANOVA … Reporting results from MANOVA … Following up MANOVA with discriminant analysis … Interpreting discriminant analysis … Reporting results from discriminant analysis … The final interpretation … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Exploratory Factor Analysis … What will this chapter tell me? … When to use factor analysis … Factors and components … Discovering factors … An anxious example … Factor analysis using SPSS … Interpreting factor analysis … How to report factor analysis … Reliability analysis … Reliability analysis using SPSS … Interpreting reliability analysis … How to report reliability analysis … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Categorical Outcomes: Chi-Square and Loglinear Analysis … What will this chapter tell me? … Analysing categorical data … Associations between two categorical variables … Associations between several categorical variables: loglinear analysis … Assumptions when analysing categorical data … General procedure for analysing categorical outcomes … Doing chi-square using SPSS … Interpreting the chi-square test … Loglinear analysis using SPSS … Interpreting loglinear analysis … Reporting the results of loglinear analysis … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Categorical Outcomes: Logistic Regression … What will this chapter tell me? … What is logistic regression? … Theory of logistic regression … Sources of bias and common problems … Binary logistic regression … Interpreting logistic regression … Interactions in logistic regression: a sporty example … Reporting logistic regression … Jane and Brian's story … What next? … Key terms that I've discovered … Smart Alex's tasks … Multilevel Linear Models … What will this chapter tell me? … Hierarchical data … Multilevel linear models … Practical issues … Multilevel modelling using SPSS 1008 How to report a multilevel model 1025 A message from, the octopus of inescapable despair 1028 Jane and Brian's story 1026 What next? 1026 Key terms thai I've discovered 1027 Smart Alex's tasks 1028 Epilogue 1029 Appendix 1033 Glossary 1045 References 1079 Index 1095
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Psychologische Testtheorie</subfield><subfield code="0">(DE-627)1271508311</subfield><subfield code="0">(DE-625)rvk/141564:</subfield><subfield code="0">(DE-576)201508311</subfield></datafield><datafield tag="936" ind1="r" ind2="v"><subfield code="a">ST 601</subfield><subfield code="b">Einzelne Systeme (alphabetisch)</subfield><subfield code="k">Informatik</subfield><subfield code="k">Monografien</subfield><subfield code="k">Einzelne Anwendungen der Datenverarbeitung</subfield><subfield code="k">Datenverarbeitung in Anwendungsgebieten</subfield><subfield code="k">Mathematik, Statistik</subfield><subfield code="k">Einzelne Systeme (alphabetisch)</subfield><subfield code="0">(DE-627)127114283X</subfield><subfield code="0">(DE-625)rvk/143682:</subfield><subfield code="0">(DE-576)20114283X</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">31.73</subfield><subfield code="j">Mathematische Statistik</subfield><subfield code="0">(DE-627)106418998</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.81</subfield><subfield code="j">Anwendungssoftware</subfield><subfield code="0">(DE-627)106418874</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">70.03</subfield><subfield code="j">Methoden, Techniken und Organisation der sozialwissenschaftlichen Forschung</subfield><subfield code="0">(DE-627)106414097</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">77.03</subfield><subfield code="j">Methoden und Techniken der Psychologie</subfield><subfield code="0">(DE-627)106418386</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">300.285555</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">22</subfield><subfield code="1">01</subfield><subfield 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code="b">4509600852</subfield><subfield code="c">00</subfield><subfield code="f">18/302</subfield><subfield code="d">Dat 540 84/6.A.</subfield><subfield code="e">c</subfield><subfield code="j">--%%--</subfield><subfield code="y">zi002</subfield><subfield code="z">10-04-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">34</subfield><subfield code="1">02</subfield><subfield code="x">3551</subfield><subfield code="b">4509606648</subfield><subfield code="c">00</subfield><subfield code="f">18/302</subfield><subfield code="d">Dat 540 84/6.A. a</subfield><subfield code="e">c</subfield><subfield code="j">--%%--</subfield><subfield code="y">zi002</subfield><subfield code="z">10-04-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">39</subfield><subfield code="1">01</subfield><subfield code="x">0547</subfield><subfield code="b">4589731827</subfield><subfield code="c">00</subfield><subfield code="f">LS</subfield><subfield code="d">ST 601 S69 F453(6)</subfield><subfield code="e">b</subfield><subfield code="j">--%%--</subfield><subfield code="y">zet1</subfield><subfield code="z">28-10-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">39</subfield><subfield code="1">02</subfield><subfield code="x">0547</subfield><subfield code="b">4603609310</subfield><subfield code="c">00</subfield><subfield code="f">LS</subfield><subfield code="d">ST 601 S69 F453(6)</subfield><subfield code="e">b</subfield><subfield code="j">--%%--</subfield><subfield code="y">zet1</subfield><subfield code="z">28-10-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">39</subfield><subfield code="1">03</subfield><subfield code="x">0547</subfield><subfield code="b">4603609477</subfield><subfield code="c">00</subfield><subfield code="f">LS</subfield><subfield code="d">ST 601 S69 F453(6)</subfield><subfield code="e">b</subfield><subfield code="j">--%%--</subfield><subfield code="y">zet1</subfield><subfield code="z">28-10-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">100</subfield><subfield code="1">01</subfield><subfield code="x">3100</subfield><subfield code="b">4560104840</subfield><subfield code="c">00</subfield><subfield code="f">FH</subfield><subfield code="d">2024.01374:1</subfield><subfield code="e">u</subfield><subfield code="j">--%%--</subfield><subfield code="y">k</subfield><subfield code="z">21-08-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">245</subfield><subfield code="1">01</subfield><subfield code="x">3245/003</subfield><subfield code="b">4535012261</subfield><subfield code="c">00</subfield><subfield code="f">VFHS-FB Polizei</subfield><subfield code="d">INF 51-4-6</subfield><subfield code="e">g</subfield><subfield code="j">--%%--</subfield><subfield code="y">zIS003</subfield><subfield code="z">06-06-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">370</subfield><subfield code="1">01</subfield><subfield code="x">4370</subfield><subfield code="b">4506690532</subfield><subfield code="c">00</subfield><subfield code="f">EG</subfield><subfield code="d">ST 601 SPSS 010</subfield><subfield code="e">u</subfield><subfield code="j">--%%--</subfield><subfield code="y">z</subfield><subfield code="z">03-04-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2001</subfield><subfield code="1">01</subfield><subfield code="x">DE-21</subfield><subfield code="b">4580596552</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">64 B 306</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">17-09-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2005</subfield><subfield code="1">01</subfield><subfield code="x">DE-291-114</subfield><subfield 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