Data analysis using SPSS for Windows versions 8 to 10: a beginner's guide
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Sage Publications
2001
|
| Ausgabe: | New ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Rev. ed. of: Data analysis using SPSS for Windows. 1998. - Includes bibliographical references (p. [248]) and index |
| Beschreibung: | xvii, 252 p. ill. : 24 cm. + 1 computer disk (3 1/2 in.) |
Internformat
MARC
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| 100 | 1 | |a Foster, Jeremy J. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Data analysis using SPSS for Windows versions 8 to 10 |b a beginner's guide |c Jeremy J. Foster |
| 250 | |a New ed. | ||
| 264 | 1 | |a London |b Sage Publications |c 2001 | |
| 300 | |a xvii, 252 p. |b ill. : 24 cm. + |e 1 computer disk (3 1/2 in.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Rev. ed. of: Data analysis using SPSS for Windows. 1998. - Includes bibliographical references (p. [248]) and index | ||
| 630 | 0 | 4 | |a SPSS for Windows |
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Social sciences |x Statistical methods |x Computer programs | |
| 700 | 1 | |a Foster, Jeremy J. |e Sonstige |4 oth | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-009848701 | ||
Datensatz im Suchindex
| _version_ | 1804129256896200704 |
|---|---|
| adam_text | SUMMARY OF CONTENTS
1 Aims of this book 1
2 The basics of statistical analysis 5
3 Starting out 22
4 Crucial preliminaries 37
5 The data file 43
6 Merging data files 64
7 Running a simple analysis and obtaining the output 68
8 Syntax files 84
9 Taking a preliminary look at the data 92
10 Graphs 104
11 Ranking and sorting the data 126
12 Changing the way data is coded and grouped 130
13 Selecting subgroups for analysis 141
14 How many respondents gave a particular answer?
Frequency data 149
15 What is the average score? Measures of central tendency and
dispersion 159
16 Parametric statistical tests comparing means 163
17 Correlations and multiple regression 204
18 Analysing nominal and ordinal data 218
19 Assessing test reliability 227
20 Factor analysis 231
21 Obtaining neat printouts and tables 240
CONTENTS
Preface xiii
Acknowledgements xiv
Using the disk xv
1 Aims of this book 1
1.1 Versions of SPSS for Windows 1
1.1.1 For users of SPSS version 8 2
1.2 How to use this book 2
1.3 Conventions used in the printing of this book 3
1.4 Using floppy disks 3
2 The basics of statistical analysis 5
2.1 Fundamental definitions 6
2.1.1 Population and sample 6
2.1.2 Descriptive and inferential statistics 6
2.1.3 Scales of measurement 6
2.1.4 Parametric and non parametric data and tests 7
2.1.5 Dependent and independent variables 7
2.1.6 Within subjects and between subjects comparisons 8
2.2 Measures of central tendency: mode, median, mean 8
2.3 Measures of variability 9
2.3.1 The concept of variability 9
2.3.2 Range; interquartile range 9
2.3.3 Variance and standard deviation 10
2.4 Frequency distributions 11
2.4.1 Histograms and barcharts 11
2.4.2 The normal distribution curve 11
2.4.3 z scores 12
2.5 Standard error and confidence limits 12
2.6 Statistical significance and testing hypotheses 13
CONTENTS vii
2.6.1 Statistical significance of the difference between
means 13
2.6.2 Significance level 14
2.6.3 Type I and type II errors 15
2.6.4 Directional (one tailed) and non directional
(two tailed) hypotheses 15
2.7 Interpreting the outcome of a significance test 16
2.8 Parametric and non parametric tests 17
2.9 Selecting the appropriate test 17
3 Starting out 22
3.1 What is SPSS? 22
3.2 Naming files 24
3.3 Essential terminology for all SPSS users 25
3.4 What you need to run SPSS for Windows 27
3.5 Getting to SPSS for Windows 27
3.6 The components of a window 27
3.7 The components of a dialogue box 29
3.8 Using the keyboard if there is no mouse 30
3.9 The SPSS for Windows screens 31
3.10 Leaving SPSS for Windows 34
3.11 On screen help for SPSS for Windows 35
3.12 Copying parts of Help 35
3.13 Seeing a list of all the files on your floppy disk 36
4 Crucial preliminaries 37
4.1 Know what you want to find out 37
4.2 How to find answers to questions you are asking 38
4.3 The data used in this book 40
4.4 Numeric and string (alphanumeric) variables 41
4.5 Scientific notation 42
5 The data file 43
5.1 Entering data into SPSS 44
5.2 Editing data 45
5.3 Moving around in the data table 47
5.4 Saving the data file 48
5.5 Assigning names and labels to variables and values 49
5.6 When data is missing: missing values 52
5.7 Setting the column width of a variable and aligning entries
in a column 54
5.8 Using templates to assign value labels etc. to a number
of variables 55
5.9 Seeing information about the variables in the data file 56
5.10 Retrieving data files 56
«« CONTENTS
5.11 Importing data prepared in a word processor 58
5.12 Transferring data files to/from other packages such as
Excel version 4 60
5.13 Importing data files from Excel version 5 and above into
SPSS versions 8 or 9 60
5.14 Importing data files from Excel version 5 and above into
SPSS version 10 61
5.15 Printing the data file 63
6 Merging data files 64
6.1 When do you need to merge data files? 64
6.2 Adding cases 65
6.3 Adding scores to existing cases: Add Variables 66
6.4 Add Variables with incomplete data 66
7 Running a simple analysis and obtaining the output 68
7.1 Setting output page length, page width and
inserting commands in output 68
7.2 Using the menus to analyse the data 69
7.3 Modifying the source list of variables in dialogue boxes 76
7.4 Sending the output to a different output window 77
7.5 Saving an output file 77
7.6 Retrieving an output file from the floppy disk 78
7.7 Editing the contents of the output viewer 79
7.8 Changing fonts and type style in output 80
7.9 Adding or removing a title before each procedure 81
7.10 Rounding numbers in the output 81
7.11 Printing output files from SPSS 82
7.12 Transferring output to a word processor 82
7.13 Exporting output files to a web browser 83
7.14 On screen help on statistical terms 83
8 Syntax files 84
8.1 What is a syntax file? 84
8.2 Entering commands in a syntax window using Paste 85
8.3 Structure of procedure commands 86
8.4 Running the commands from a syntax window 86
8.5 Saving the syntax window as a syntax file 87
8.6 Retrieving a saved syntax file from disk 88
8.7 Opening another syntax window 88
8.8 Transferring syntax files to a word processor 89
8.9 Loading a text file into a syntax window 89
8.10 Entering commands in a syntax window by typing 89
8.11 Typing comments into the syntax window 90
8.12 Help on syntax: the Syntax button in a syntax window 91
CONTENTS ix
8.13 Printing syntax files 91
8.14 Altering the page size for printing 91
9 Taking a preliminary look at the data 92
9.1 Checking the data 92
9.2 Running the analyses 92
9.3 Exploring the averages and distributions of scores using
Explore 93
9.4 Boxplots of score distributions from Explore 98
9.5 Do subgroups show homogeneity of variance? 100
9.6 Are the scores normally distributed? 100
9.7 Obtaining a listing of the data using Case Summaries 101
10 Graphs 104
10.1 Creating graphs using Interactive Graphs 104
10.2 Bar graphs from Interactive Graphs 105
10.3 Line graphs from Interactive Graphs 107
10.4 Histograms from Interactive Graphs 108
10.5 Scatterplots from Interactive Graphs 108
10.6 Ribbon graphs from Interactive Graphs 109
10.7 Histograms, barcharts and piecharts from Frequencies 109
10.8 Boxplots and stem and leaf plots from Explore 112
10.9 Graphs, charts and scattergrams from Graphs 112
10.10 Dealing with missing data when creating charts with Graphs 117
10.11 Creating a bar chart from Graphs 117
10.12 Creating a scattergram from Graphs 118
10.13 Obtaining the regression line on a scattergram from Graphs 119
10.14 Creating a line graph of means of subgroups from Graphs 119
10.15 Editing the chart created from Graphs 120
10.16 Saving and retrieving a chart 123
10.17 Transferring a chart to another application 123
10.18 Printing charts 124
10.19 Chart templates 124
10.20 Adding grid lines to charts 125
11 Ranking and sorting the data 126
11.1 Ranking scores 126
11.2 Ranking within subgroups 127
11.3 Rank correlation 128
11.4 Putting the cases in a different order: Sort Cases 128
11.5 Restoring the original order after using Sort Cases 129
12 Changing the way data is coded and grouped 130
12.1 Why you might want to modify the data 130
12.2 Calculating new scores and transforming scores:
Compute 131
x CONTENTS
12.3 Using Compute with certain cases only: Compute If 133
12.4 Missing values in Compute 134
12.5 Obtaining z scores 135
12.6 Changing the way data is coded: Recode 135
12.7 Automatic Recode 138
12.8 Multiple responses 138
12.9 Collapsing data across cases: Aggregate 140
13 Selecting subgroups for analysis 141
13.1 When analysing subgroups is needed 141
13.2 Selecting subgroups based on each level of a variable:
Split File 141
13.3 Compare Groups or Organize Output by Groups in
Split File 143
13.4 Selecting subgroups using Select Cases 143
13.5 Selecting a subset of cases based on case number or id
number 146
13.6 Selecting a random sample of cases 147
14 How many respondents gave a particular answer?
Frequency data 149
14.1 Obtaining tables showing how many people gave each
response: Frequencies 149
14.2 Histograms, bar charts and piecharts showing distributions
of scores 150
14.3 How many times did a respondent give a particular answer?
Count 151
14.4 Obtaining cross tabulations 152
14.5 Obtaining the two sample chi square test 156
14.6 Loglinear analysis 158
15 What is the average score? Measures of central tendency
and dispersion 159
15.1 Finding the mean and standard deviation 159
15.2 Finding median or mode 160
15.3 Finding the means of subgroups of respondents 160
15.4 Obtaining z scores 162
16 Parametric statistical tests comparing means 163
16.1 Basic preliminaries about the parametric tests 163
16.2 Within subjects (paired samples) f test 164
16.3 Between subjects (independent samples) f test 165
16.4 One sample f test 168
16.5 Dealing with cases that have missing data when using
a f test 169
CONTENTS xi
16.6 Basic principles of the analysis of variance 170
16.7 Which ANOVA do you require? 173
16.8 Obtaining the ANOVA 174
16.9 One independent variable, between subjects 174
16.9.1 One way analysis of variance from Means 175
16.9.2 One way analysis of variance using Oneway 175
16.9.3 One way analysis of variance using the General
Linear Model menu 178
16.10 One independent variable, within subjects 182
16.11 Two way analysis of variance with two (or more)
independent variables, all between subjects 186
16.12 Two (or more) independent variables, with at least one
between subjects and at least one within subjects
(mixed design) 190
16.13 Two (or more) independent variables, all within subjects
(repeated measures) 196
16.14 Analysing two or more dependent variables together:
MANOVA 199
17 Correlations and multiple regression 204
17.1 The concept of correlation 204
17.2 Obtaining a scattergram 206
17.3 Parametric (Pearson) and rank (Spearman) correlation 207
17.4 Obtaining means and standard deviations of the variables
being correlated 209
17.5 Partial correlation 210
17.6 Multiple regression 211
18 Analysing nominal and ordinal data 218
18.1 Non parametric analyses 218
18.2 Obtaining the non parametric tests 218
18.3 One sample chi square 220
18.4 Two matched groups: Wilcoxon test 221
18.5 Three or more matched groups: Friedman test 222
18.6 Two independent groups: Mann Whitney 224
18.7 Three or more independent groups: Kruskal Wallis 225
19 Assessing test reliability 227
19.1 The concept of test reliability 227
19.2 Assessing test reliability with SPSS: RELIABILITY 228
20 Factor analysis 231
20.1 Basic principles of factor analysis 231
20.2 Obtaining a factor analysis 233
20.3 Adding factor scores to the data file 238
xii CONTENTS
21 Obtaining neat printouts and tables 240
21.1 Obtaining a clean output (.spo) file 240
21.2 Generating tables using OLAP Cubes 241
21.3 Generating tables using Case Summaries 242
21.4 Generating tables using Custom Tables 244
References 248
Index 249
|
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| discipline | Soziologie Mathematik |
| edition | New ed. |
| format | Book |
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| spelling | Foster, Jeremy J. Verfasser aut Data analysis using SPSS for Windows versions 8 to 10 a beginner's guide Jeremy J. Foster New ed. London Sage Publications 2001 xvii, 252 p. ill. : 24 cm. + 1 computer disk (3 1/2 in.) txt rdacontent n rdamedia nc rdacarrier Rev. ed. of: Data analysis using SPSS for Windows. 1998. - Includes bibliographical references (p. [248]) and index SPSS for Windows Sozialwissenschaften Social sciences Statistical methods Computer programs Foster, Jeremy J. Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009848701&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Foster, Jeremy J. Data analysis using SPSS for Windows versions 8 to 10 a beginner's guide SPSS for Windows Sozialwissenschaften Social sciences Statistical methods Computer programs |
| title | Data analysis using SPSS for Windows versions 8 to 10 a beginner's guide |
| title_auth | Data analysis using SPSS for Windows versions 8 to 10 a beginner's guide |
| title_exact_search | Data analysis using SPSS for Windows versions 8 to 10 a beginner's guide |
| title_full | Data analysis using SPSS for Windows versions 8 to 10 a beginner's guide Jeremy J. Foster |
| title_fullStr | Data analysis using SPSS for Windows versions 8 to 10 a beginner's guide Jeremy J. Foster |
| title_full_unstemmed | Data analysis using SPSS for Windows versions 8 to 10 a beginner's guide Jeremy J. Foster |
| title_short | Data analysis using SPSS for Windows versions 8 to 10 |
| title_sort | data analysis using spss for windows versions 8 to 10 a beginner s guide |
| title_sub | a beginner's guide |
| topic | SPSS for Windows Sozialwissenschaften Social sciences Statistical methods Computer programs |
| topic_facet | SPSS for Windows Sozialwissenschaften Social sciences Statistical methods Computer programs |
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