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SPSS survival manual: a step by step guide to data analysis using SPSS for Windows (Version 12)

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Bibliographische Detailangaben
1. Verfasser:	Pallant, Julie (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Buckingham u.a Open Univ. Press 2005
Ausgabe:	2. ed.
Schlagworte:	SPSS 12.0 für WINDOWS
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	bis 2000 u.d.T.: Voelkl, Kristin E.: Using SPSS for Windows
Beschreibung:	XVI, 318 S. Ill.
ISBN:	0335216404

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Datensatz im Suchindex

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adam_text	Titel: SPSS survival manual Autor: Pallant, Julie Jahr: 2005 Contents Data files and website xi Introduction and overview xii Structure of this book xiii Using this book xiii Research tips xv Additional resources xvi Part One Getting started 1 1 Designing a study 3 Planning the study 3 Choosing appropriate scales and measures 5 Preparing a questionnaire 7 References 10 2 Preparing a codebook 12 Variable names 12 Coding responses 14 Coding open-ended questions 14 3 Getting to know SPSS 16 Starting SPSS 16 Opening an existing data file 16 Working with data files 17 SPSS windows 18 Menus 22 Dialogue boxes 22 Closing SPSS 24 Getting help 24 Part Two Preparing the data file 25 4 Creating a data file and entering data 27 Changing the SPSS Options 27 Defining the variables 30 Entering data 34 Modifying the data file 35 Data entry using Excel 38 vi SPSS Survival Manual 5 Screening and cleaning the data 40 Step 1: Checking for errors 40 Step 2: Finding the error in the data file 43 Step 3: Correcting the error in the data file 45 Reference 46 Part Three Preliminary analyses 47 6 Descriptive statistics 49 Categorical variables 49 Continuous variables 50 Assessing normality 53 Checking for outliers 58 Additional exercises 62 References 63 7 Using graphs to describe and explore the data 64 Histograms 64 Bar graphs 66 Scatterplots 68 Boxplots 70 Line graphs 72 Editing a chart/graph 74 Importing charts/graphs into Word documents 75 Additional exercises 76 8 Manipulating the data 78 Calculating total scale scores 78 Transforming variables 82 Collapsing a continuous variable into groups 85 Collapsing the number of categories of a categorical variable 86 Additional exercises 88 Reference 89 9 Checking the reliability of a scale 90 Details of example 90 Interpreting the output from reliability 92 Presenting the results from reliability 92 Additional exercises 93 References 93 Contents vii 10 Choosing the right statistic 94 Overview of the different statistical techniques 94 The decision-making process 98 Key features of the major statistical techniques 104 References 109 Summary table of the characteristics of the main statistical techniques 110 Part Four Statistical techniques to explore relationships among variables 113 Techniques covered in Part Four 113 Revision of the basics 114 References 119 11 Correlation 121 Details of example 122 Preliminary analyses for correlation 123 Interpretation of output from correlation 125 Presenting the results from correlation 127 Obtaining correlation coefficients between groups of variables 128 Comparing the correlation coefficients for two groups 130 Testing the statistical significance of the difference between correlation coefficients 132 Additional exercises 135 Reference 135 12 Partial correlation 136 Details of example 136 Interpretation of output from partial correlation 138 Presenting the results from partial correlation 139 Additional exercises 139 References 139 13 Multiple regression 140 Major types of multiple regression 141 Assumptions of multiple regression 142 Details of example 144 Standard multiple regression 146 Hierarchical multiple regression 155 Interpretation of output from hierarchical multiple regression 157 Presenting the results from multiple regression 158 Additional exercises 158 References 159 viii SPSS Survival Manual 14 Logistic regression 160 Assumptions 161 Details of example 162 Data preparation: coding of responses 162 Interpretion of output from logistic regression 166 Presenting the results from logistic regression 170 References 171 15 Factor analysis 172 Steps involved in factor analysis 173 Details of example 177 Procedure for factor analysis 178 Warning 190 Presenting the results from factor analysis 190 Additional exercises 192 References 193 Part Five Statistical techniques to compare groups 195 Techniques covered in Part Five 195 Assumptions 196 Type 1 error, Type 2 error and power 198 Planned comparisons/Post-hoc analyses 199 Effect size 201 References 203 16 T-tests 205 Independent-samples t-test 205 Paired-samples t-test 209 Additional exercises 213 Reference 213 17 One-way analysis of variance 214 One-way between-groups ANOVA with post-hoc tests 215 One-way between-groups ANOVA with planned comparisons 220 One-way repeated measures ANOVA 223 Additional exercises 227 References 228 18 Two-way between-groups ANOVA 229 Details of example 229 Interpretation of output from two-way ANOVA 233 Presenting the results from two-way ANOVA 236 Additional analyses if you obtain a significant interaction effect 236 Additional exercises 237 References 238 Contents ix 19 Mixed between-within subjects analysis of variance 239 Details of example 239 Interpretation of output from mixed between-within ANOVA 244 Presenting the results from mixed between-within ANOVA 246 References 246 20 Multivariate analysis of variance 247 Details of example 248 Assumption testing 249 Performing MANOVA 255 Interpretation of output from MANOVA 258 Presenting the results from MANOVA 261 Additional exercises 261 References 261 21 Analysis of covariance 263 Uses of ANCOVA 263 Assumptions of ANCOVA 265 One-way ANCOVA 267 Two-way ANCOVA 277 References 285 22 Non-parametric statistics 286 Summary of techniques covered in this chapter 286 Chi-square 287 Mann-Whitney U Test 291 Wilcoxon Signed Rank Test 292 Kruskal-Wallis Test 294 Friedman Test 296 Spearman s Rank Order Correlation 297 Additional exercises 298 References 299 Appendix Details of data files 300 Part A: Materials for survey.sav 302 Part B: Materials for experim.sav 307 Part C: Materials for staff survey.sav 308 Part D: Materials for sleep.sav 311 Recommended references 313 Index 316
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title	SPSS survival manual a step by step guide to data analysis using SPSS for Windows (Version 12)
title_auth	SPSS survival manual a step by step guide to data analysis using SPSS for Windows (Version 12)
title_exact_search	SPSS survival manual a step by step guide to data analysis using SPSS for Windows (Version 12)
title_full	SPSS survival manual a step by step guide to data analysis using SPSS for Windows (Version 12) Julie Pallant
title_fullStr	SPSS survival manual a step by step guide to data analysis using SPSS for Windows (Version 12) Julie Pallant
title_full_unstemmed	SPSS survival manual a step by step guide to data analysis using SPSS for Windows (Version 12) Julie Pallant
title_short	SPSS survival manual
title_sort	spss survival manual a step by step guide to data analysis using spss for windows version 12
title_sub	a step by step guide to data analysis using SPSS for Windows (Version 12)
topic	SPSS 12.0 für WINDOWS (DE-588)4783370-1 gnd
topic_facet	SPSS 12.0 für WINDOWS
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013092979&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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