Quantitative data analysis with minitab: a guide for social scientists
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London [u.a.]
Routledge
1996
|
| Edition: | 1. publ. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIV, 288 S. graph. Darst. |
| ISBN: | 0415123232 0415123240 |
Staff View
MARC
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| 245 | 1 | 0 | |a Quantitative data analysis with minitab |b a guide for social scientists |c Alan Bryman and Duncan Cramer |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a London [u.a.] |b Routledge |c 1996 | |
| 300 | |a XIV, 288 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 630 | 0 | 4 | |a Minitab |
| 650 | 4 | |a Minitab (Logiciel) | |
| 650 | 4 | |a Sciences sociales - Informatique | |
| 650 | 4 | |a Sciences sociales - Logiciels | |
| 650 | 4 | |a Sciences sociales - Méthodes statistiques | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Social sciences |x Computer programs | |
| 650 | 4 | |a Social sciences |x Data processing | |
| 650 | 4 | |a Social sciences |x Statistical methods | |
| 700 | 1 | |a Cramer, Duncan |e Verfasser |4 aut | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-007641288 | ||
Record in the Search Index
| _version_ | 1804125880988991488 |
|---|---|
| adam_text | Contents
List of figures vi
List of tables ix
Preface xiii
1 Data analysis and the research process 1
2 Analysing data with computers: first steps with Minitab 16
3 Analysing data with computers: further steps with Minitab 38
4 Concepts and their measurement 55
5 Summarizing data 70
6 Sampling and statistical significance 94
7 Bivariate analysis: exploring differences between scores on
two variables 110
8 Bivariate analysis: exploring relationships between two
variables 149
9 Multivariate analysis: exploring differences among three or
more variables 189
10 Multivariate analysis: exploring relationships among three or
more variables 218
11 Aggregating variables: exploratory principal components
analysis 252
Appendix I 264
Appendix II 266
Answers to exercises 268
Bibliography 280
Index 283
Figures
1.1 The research process
1.2 A spurious relationship
1.3 An experiment **
1.4 Three types of experimental design 12
1.5 A relationship between two variables I4
1.6 Is the relationship spurious? 1
1.7 Two possible causal interpretations of a relationship 14
2.1 Opening Session and Data window in Release 9 21
2.2 Opening Session and Data window in Release 10 22
2.3 Options on the File drop down menu 29
2.4 Save Worksheet As dialog box 30
2.5 Options on the Calc drop down menu 32
2.6 Column Statistics dialog box 33
3.1 Manip menu options 39
3.2 Copy dialog box 40
3.3 Copy Use Rows dialog box 41
3.4 Code Data Values dialog box 45
3.5 Stat menu options 52
4.1 Deciding the nature of a variable 61
4.2 Concepts, dimensions and measurements 63
5.1 Bar chart of data on faculty membership 72
5.2 Histogram for income (Minitab Professional Graphics) 74
5.3 Histogram for incgrp (Minitab Standard Graphics) 76
5.4 The inter quartile range 81
5.5 Stem and leaf display 86
5.6 Boxplot 87
5.7 Boxplot of the percentage of special needs reports 88
5.8 Two normal distributions 89
5.9 The normal distribution and the mean 89
5.10 Properties of the normal distribution 90
5.11 Positively and negatively skewed distributions 92
Figures vii
6.1 The distribution of similar theoretical outcomes of tossing
a coin twice 101
6.2 The distribution of similar theoretical outcomes of tossing
a coin six times 102
6.3 One tailed and two tailed 0.05 levels of significance 107
7.1 Unstack dialog box 120
7.2 A comparison of the distribution of the standard error of
the differences in means for related and unrelated samples 142
8.1 Scatter diagram: political liberalism by income (Minitab plot
with Standard Graphics) 165
8.2 Scatter diagram: income by age (Minitab plot with
Professional Graphics) 166
8.3 A perfect relationship 167
8.4 No relationship (or virtually no relationship) 167
8.5 Three curvilinear relationships 167
8.6 Two positive relationships 168
8.7 Two negative relationships 169
8.8 The strength and direction of correlation coefficients 169
8.9 Types of relationship 171
8.10 A line of best fit 177
8.11 Regression: a negative relationship 178
8.12 Regression: a negative intercept 179
8.13 Regression: a perfect relationship 180
8.14 The accuracy of the line of best fit 180
8.15 Scatter diagrams for two identical levels of correlation 181
8.16 Heteroscedasticity 181
8.17 Scatter diagram: satis by routine with fitted regression line
(Minitab for Windows Release 10 output from Job Survey
data) 186
9.1 An example of an interaction between two variables 190
9.2 Examples of other interactions 191
9.3 Examples of no interactions 192
9.4 Schematic representation of a significant one way effect 193
9.5 % interact output showing the effect of treatment
and gender on patient rated post treatment depression 201
10.1 Is the relationship between work variety and job
satisfaction spurious? 221
10.2 Is the relationship between work variety and job satisfaction
affected by an intervening variable? 223
10.3 Is the relationship between work variety and job
satisfaction moderated by gender? 227
10.4 Does work variety have a greater impact on job satisfaction
than participation at work? 229
10.5 The effects of controlling for a test variable 233
viii Figures
10.6 Path diagram for satis 245
10.7 Path diagram for satis with path coefficients 248
10.8 Path diagram for absence 249
11.1 Common and unique variance 256
11.2 Scree test of eigenvalues 259
Tables
1.1 Data on television violence and aggression 8
2.1 The Job Survey data 19 20
2.2 The Minitab names and column numbers of the Job
Survey variables 27
2.3 Info listing of column numbers and names of variables in
jsrd.mtw 28
4.1 Types of variable 60
5.1 The faculty membership of fifty six students 71
5.2 Frequency table for data on faculty membership 71
5.3 Frequency table for income 73
5.4 Frequency table for incgrp 76
5.5 Results of a test of mathematical ability for the students of
two teachers 80
5.6 Central tendency and dispersion analysis for income and satis 82
5.7 Percentage of special needs reports issued within six months
in local authorities in England and Wales, 1993 4 84
5.8 Probable mathematics marks 91
6.1 Devising a stratified random sample: non manual employees
in a firm 97
6.2 Four possible outcomes of tossing a coin twice 101
6.3 Theoretical outcomes of tossing a coin six times and the
probabilities of similar outcomes 103
6.4 Type I and Type II errors 108
7.1 Tests of differences 113
7.2 Table showing frequency of male and female white and
non white workers in the Job Survey 117
7.3 Chisquare output comparing number of white and non white
men and women in the Job Survey 118
7.4 Qual unstacked for men and women as mqual and
fqual 122 3
7.5 Mann Whitney output comparing rated quality of work for
men ( mqual ) and women ( fqual ) 123
x Tables ^ 7.6 Kruskal Wallis output comparing rated quality of work for
four ethnic groups 124
7.7 The Panel Study data 125
7.8 The difference (Cll) between quail and qual2 126
7.9 Stest output comparing the number of positive and
negative differences between quail and quaI2 127
7.10 Wtest output comparing the sum of the ranked positive
and negative differences in size between quail and qua!2 127
7.11 Panel Study rated quality of work data rearranged for the
Friedman command 129
7.12 Friedman output comparing the mean rank of rated quality of
work across the three months 130
7.13 Two tailed West output comparing a sample and population
mean 131
7.14 One tailed ttest output comparing a sample and population
mean 131
7.15 Twot output comparing the means of total job satisfaction in
men and women in the Job Survey 133
7.16 Twosample output comparing the means of total job
satisfaction in men and women in the Job Survey 136
7.17 Twot output comparing rated quality of work for men and
women in the Job Survey 137
7.18 % variance output showing the results of Levene s test
comparing the variance of satis across gender 138
7.19 Oneway output comparing job satisfaction across four ethnic
groups in the Job Survey 139
7.20 Tukey output comparing job satisfaction across the four
ethnic groups in the Job Survey 140
7.21 Two tailed ttest output comparing job satisfaction in the first
and second month in the Panel Study 142
7.22 A single factor repeated measures anova output comparing
job satisfaction across three months in the Job Survey 146
8.1 Data for thirty individuals on job satisfaction and absenteeism 151
8.2 Four possible combinations 151
8.3 The relationship between job satisfaction and absenteeism 152
8.4 Two types of relationship 153
8.5 Contingency table for skill by gender 155
8.6 Social class by gender 159
8.7 Chi square analysis of data in Table 8.6 160
8.8 Rated skill by gender 161
8.9 Data on age, income and political liberalism 165
8.10 Pearson product moment correlation coefficients 173
8.11 Spearman rho correlation coefficients 174
Tables xi
8.12 The impact of outliers: the relationship between size of firm
and number of specialist functions 182
8.13 Regression: satis by routine 184
9.1 The Depression Project data 197
9.2 Glm brief 1 output for the effect of treatment, gender and
their interaction on patient related post treatment depression 199
9.3 Glm brief 1 output for the interaction effect of treatment
and gender and the main effects of treatment and gender
on patient rated post treatment depression 200
9.4 Glm brief 1 output for the effect of treatment, gender and
their interaction on patient rated pre treatment depression 202
9.5 Glm brief 1 output showing the test of homogeneity of slope
of regression line within cells 203
9.6 Glm output testing the effect of treatment on patient reported
post treatment depression covarying patient pre treatment
depression 205
9.7 Glm brief 1 output testing the effect of treatment on patient
and informant reported post treatment depression taken
separately and together 206
9.8 Anova output for a balanced mixed between and
within subjects design 209
9.9 Means of patients pre test and post test depression for the
three treatments in the Depression Project 210
9.10 Subsample of the Depression Project data containing four
women in each of three treatments sorted according to
treatment and then gender 211
9.11 Variables and their values for the combined design ancova
analysis 213
9.12 Ancova output for patient assessed depression in the
combined design 214
9.13 Ancova output for informant assessed depression in the
combined design 215
10.1 Relationship between work variety and job satisfaction 220
10.2 A spurious relationship: the relationship between work
variety and job satisfaction, controlling for size of firm 222
10.3 A non spurious relationship: the relationship between work
variety and job satisfaction, controlling for size of firm 224
10.4 An intervening variable: the relationship between work
variety and job satisfaction, controlling for interest in work 225
10.5 A moderated relationship: the relationship between work
variety and job satisfaction, controlling for gender 228
10.6 Two independent variables: the relationship between work
variety and job satisfaction, controlling for participation at
work 230
xii Tables
10.7 Income, age and support for the market economy 234
10.8 Computing the partial correlation coefficient for age and
income holding years constant 236
10.9 Comparison of unstandardized and standardized
regression coefficients with satis as the dependent variable 239
10.10 Sample multiple regression output using unstandardized
variables 241
10.11 Sample multiple regression output using standardized variables 243
10E.1 The relationship between approval of equal pay legislation
and gender 250
10E.2 The relationship between approval of equal pay legislation
and gender holding age constant 251
11.1 Correlation output of a correlation matrix for job
satisfaction and routine items 254
11.2 Principal components brief 1 output of the principal
components, their communality and variance 257
11.3 Principal components brief 1 output of unsorted and sorted
item loadings on the two orthogonally rotated components 261
|
| any_adam_object | 1 |
| author | Bryman, Alan 1947-2017 Cramer, Duncan |
| author_GND | (DE-588)12935158X |
| author_facet | Bryman, Alan 1947-2017 Cramer, Duncan |
| author_role | aut aut |
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| dewey-ones | 300 - Social sciences |
| dewey-raw | 300.15195 |
| dewey-search | 300.15195 |
| dewey-sort | 3300.15195 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| edition | 1. publ. |
| format | Book |
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| id | DE-604.BV011371500 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:08:36Z |
| institution | BVB |
| isbn | 0415123232 0415123240 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007641288 |
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| owner | DE-739 |
| owner_facet | DE-739 |
| physical | XIV, 288 S. graph. Darst. |
| publishDate | 1996 |
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| publisher | Routledge |
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| spelling | Bryman, Alan 1947-2017 Verfasser (DE-588)12935158X aut Quantitative data analysis with minitab a guide for social scientists Alan Bryman and Duncan Cramer 1. publ. London [u.a.] Routledge 1996 XIV, 288 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Minitab Minitab (Logiciel) Sciences sociales - Informatique Sciences sociales - Logiciels Sciences sociales - Méthodes statistiques Datenverarbeitung Sozialwissenschaften Social sciences Computer programs Social sciences Data processing Social sciences Statistical methods Cramer, Duncan Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007641288&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bryman, Alan 1947-2017 Cramer, Duncan Quantitative data analysis with minitab a guide for social scientists Minitab Minitab (Logiciel) Sciences sociales - Informatique Sciences sociales - Logiciels Sciences sociales - Méthodes statistiques Datenverarbeitung Sozialwissenschaften Social sciences Computer programs Social sciences Data processing Social sciences Statistical methods |
| title | Quantitative data analysis with minitab a guide for social scientists |
| title_auth | Quantitative data analysis with minitab a guide for social scientists |
| title_exact_search | Quantitative data analysis with minitab a guide for social scientists |
| title_full | Quantitative data analysis with minitab a guide for social scientists Alan Bryman and Duncan Cramer |
| title_fullStr | Quantitative data analysis with minitab a guide for social scientists Alan Bryman and Duncan Cramer |
| title_full_unstemmed | Quantitative data analysis with minitab a guide for social scientists Alan Bryman and Duncan Cramer |
| title_short | Quantitative data analysis with minitab |
| title_sort | quantitative data analysis with minitab a guide for social scientists |
| title_sub | a guide for social scientists |
| topic | Minitab Minitab (Logiciel) Sciences sociales - Informatique Sciences sociales - Logiciels Sciences sociales - Méthodes statistiques Datenverarbeitung Sozialwissenschaften Social sciences Computer programs Social sciences Data processing Social sciences Statistical methods |
| topic_facet | Minitab Minitab (Logiciel) Sciences sociales - Informatique Sciences sociales - Logiciels Sciences sociales - Méthodes statistiques Datenverarbeitung Sozialwissenschaften Social sciences Computer programs Social sciences Data processing Social sciences Statistical methods |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007641288&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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