A gentle introduction to Stata:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
College Station, Texas
Stata Press
2008
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XX, 333 S. graph. Darst. |
| ISBN: | 9781597180436 1597180432 |
Staff View
MARC
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| 020 | |a 9781597180436 |9 978-1-59718-043-6 | ||
| 020 | |a 1597180432 |9 1-59718-043-2 | ||
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| 100 | 1 | |a Acock, Alan C. |d 1944- |e Verfasser |0 (DE-588)1037993705 |4 aut | |
| 245 | 1 | 0 | |a A gentle introduction to Stata |c Alan C. Acock |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a College Station, Texas |b Stata Press |c 2008 | |
| 300 | |a XX, 333 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 630 | 0 | 4 | |a Stata |v Handbooks, manuals, etc |
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Social sciences |x Statistical methods |x Computer programs | |
| 650 | 4 | |a Social sciences |x Statistics |x Computer programs | |
| 650 | 4 | |a Statistics |x Graphic methods |x Computer programs | |
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Record in the Search Index
| _version_ | 1804137670470795264 |
|---|---|
| adam_text | Contents
List of Tables
xiii
List of Figures
xv
Preface
xix
Support materials for the book
xxi
Getting started
1
1.1
Conventions
................................ 1
1.2
Introduction
................................ 3
1.3
The
Stata
screen
............................. 5
1.4
Using an existing
dataset
........................ 8
1.5
An example of a short
Stata
session
.................. 10
1.6
Summary
................................. 16
1.7
Exercises
.................................. 16
Entering data
19
2.1
Creating
a dataset
............................ 19
2.2
An example questionnaire
........................ 21
2.3
Developing a coding system
....................... 22
2.4
Entering data
............................... 27
2.4.1
Labeling values
......................... 30
2.5
Saving your
dataset
............................ 33
2.6
Checking the data
............................ 35
2.7
Summary
................................. 38
2.8
Exercises
.................................. 38
Preparing data for analysis
41
3.1
Introduction
................................ 41
viii Contents
3.2
Planning
your work
............................ 41
3.3
Creating value labels
........................... 47
3.4
Reverse-code variables
.......................... 48
3.5
Creating and modifying variables
.................... 51
3.6
Creating scales
.............................. 56
3.7
Saving some of your data
........................ 60
3.8
Summary
................................. 62
3.9
Exercises
.................................. 63
4
Working with commands, do-files, and results
65
4.1
Introduction
................................ 65
4.2
How
Stata
commands are constructed
................. 66
4.3
Getting the command from the menu system
............. 70
4.4
Saving your results
............................ 77
4.5
Logging your command file
....................... 78
4.6
Summary
................................. 80
4.7
Exercises
.................................. 81
5
Descriptive statistics and graphs for one variable
83
5.1
Descriptive statistics and graphs
.................... 83
5.2
Where is the center of a distribution?
.................. 84
5.3
How dispersed is the distribution?
................... 88
5.4
Statistics and graphs
—
unordered categories
.............. 90
5.5
Statistics and graphs
—
ordered categories and variables
........ 98
5.6
Statistics and graphs
—
quantitative variables
............. 100
5.7
Summary
................................. 106
5.8
Exercises
.................................. 107
6
Statistics and graphs for two categorical variables
109
6.1
Relationship between categorical variables
............... 109
6.2
Cross-tabulation
............................. 110
6.3
Chi-squared test
............................. 112
6.3.1
Degrees of freedom
....................... 114
Contents ix
6.3.2
Probability tables
........................ 115
6.4
Percentages and measures of association
................ 117
6.5
Ordered categorical variables
...................... 119
6.6
Interactive tables
............................. 122
6.7
Tables
—
linking categorical and quantitative variables
........ 124
6.8
Summary
................................. 127
6.9
Exercises
.................................. 128
7
Tests for one or two means
131
7.1
Introduction to tests for one or two means
............... 131
7.2
Randomization
.............................. 134
7.3
Random sampling
............................. 136
7.4
Hypotheses
................................ 136
7.5
One-sample test of a proportion
..................... 136
7.6
Two-sample test of a proportion
.................... 139
7.7
One-sample test of means
........................ 143
7.8
Two-sample test of group means
.................... 145
7.8.1
Testing for unequal variances
................. 150
7.9
Repeated-measures
t
test
........................ 151
7.10
Power analysis
.............................. 153
7.11
Nonparametric alternatives
....................... 156
7.11.1
Mann-Whitney two-sample rank-sum test
.......... 156
7.11.2
Nonparametric alternative: median test
........... 157
7.12
Summary
................................. 158
7.13
Exercises
.................................. 159
8
Divariate
regression and correlation
161
8.1
Introduction to bivariate correlation and regression
.......... 161
8.2
Scattergrams
............................... 162
8.3
Plotting the regression line
........................ 167
8.4
Correlation
................................ 168
8.5
Regression
................................. 175
x
Contents
8.6
Spearman s rho: rank-order correlation for ordinal data
....... 179
8.7
Summary
................................. 180
8.8
Exercises
.................................. 181
9
Analysis of variance
183
9.1
The logic of one-way analysis of variance
................ 183
9.2
ANOVA example
............................. 184
9.3
ANOVA example using survey data
................... 191
9.4
A nonparametric alternative to ANOVA
................ 194
9.5
Analysis of covariance
.......................... 197
9.6
Two-way ANOVA
............................. 204
9.7
Repeated-measures design
........................ 208
9.8
Intraclass correlation
—
measuring agreement
.............. 213
9.9
Summary
................................. 215
9.10
Exercises
.................................. 216
10
Multiple regression
219
10.1
Introduction to multiple regression
................... 219
10.2
What is multiple regression?
....................... 220
10.3
The basic multiple regression command
................ 220
10.4
Increment in R-squared: semipartial correlations
........... 225
10.5
Is the dependent variable normally distributed?
............ 226
10.6
Are the residuals normally distributed?
................. 230
10.7
Regression diagnostic statistics
..................... 234
10.7.1
Outliers and influential cases
.................. 234
10.7.2
Influential observations: DFbeta
................ 237
10.7.3
Combinations of variables may cause problems
........ 238
10.8
Weighted data
............................... 240
10.9
Categorical predictors and hierarchical regression
........... 242
10.10
Fundamentals of interaction
....................... 250
10.11
Summary
................................. 255
10.12
Exercises
.................................. 257
Contents xi
11
Logistic
regression
259
11.1
Introduction to logistic regression
.................... 259
11.2
An example
................................ 260
11.3
What is an odds ratio and a logit?
................... 264
11.3.1
The odds ratio
......................... 266
11.3.2
The logit transformation
.................... 266
11.4
Data used in rest of chapter
....................... 267
11.5
Logistic regression
............................ 268
11.6
Hypothesis testing
............................ 275
11.6.1
Testing individual coefficients
................. 276
11.6.2
Testing sets of coefficients
................... 277
11.7
Nested logistic regressions
........................ 279
11.8
Summary
................................. 281
11.9
Exercises
.................................. 282
12
Measurement, reliability, and validity
283
12.1
Overview of reliability and validity
................... 283
12.2
Constructing a scale
........................... 284
12.2.1
Generating a mean score for each person
........... 285
12.3
Reliability
................................. 286
12.3.1
Stability and test-retest reliability
.............. 289
12.3.2
Equivalence
........................... 290
12.3.3
Split-half and alpha reliability
—
internal consistency
.... 290
12.3.4
Kuder-Richardson reliability for dichotomous items
..... 293
12.3.5
Rater agreement
—
kappa
(к)
.................. 294
12.4
Validity
.................................. 297
12.4.1
Expert judgment
........................ 297
12.4.2
Criterion-related validity
.................... 298
12.4.3
Construct validity
........................ 299
12.5
Factor analysis
.............................. 300
xii
Contents
12.6
PCF
analysis
............................... 305
12.6.1
Orthogonal rotation: varimax
................. 308
12.6.2
Oblique rotation: promax
................... 310
12.7
But we wanted one scale, not four scales
................ 311
12.7.1
Scoring our variable
....................... 312
12.8
Summary
................................. 313
12.9
Exercises
.................................. 314
13
Appendix: What s next?
315
13.1
Introduction to the appendix
...................... 315
13.2
Resources
................................. 315
13.2.1
Web resources
.......................... 316
13.2.2
Books about
Stata
....................... 317
13.2.3
Short courses
.......................... 318
13.2.4
Acquiring data
......................... 319
13.3
Summary
................................. 320
References
321
Author index
323
Subject index
325
|
| adam_txt |
Contents
List of Tables
xiii
List of Figures
xv
Preface
xix
Support materials for the book
xxi
Getting started
1
1.1
Conventions
. 1
1.2
Introduction
. 3
1.3
The
Stata
screen
. 5
1.4
Using an existing
dataset
. 8
1.5
An example of a short
Stata
session
. 10
1.6
Summary
. 16
1.7
Exercises
. 16
Entering data
19
2.1
Creating
a dataset
. 19
2.2
An example questionnaire
. 21
2.3
Developing a coding system
. 22
2.4
Entering data
. 27
2.4.1
Labeling values
. 30
2.5
Saving your
dataset
. 33
2.6
Checking the data
. 35
2.7
Summary
. 38
2.8
Exercises
. 38
Preparing data for analysis
41
3.1
Introduction
. 41
viii Contents
3.2
Planning
your work
. 41
3.3
Creating value labels
. 47
3.4
Reverse-code variables
. 48
3.5
Creating and modifying variables
. 51
3.6
Creating scales
. 56
3.7
Saving some of your data
. 60
3.8
Summary
. 62
3.9
Exercises
. 63
4
Working with commands, do-files, and results
65
4.1
Introduction
. 65
4.2
How
Stata
commands are constructed
. 66
4.3
Getting the command from the menu system
. 70
4.4
Saving your results
. 77
4.5
Logging your command file
. 78
4.6
Summary
. 80
4.7
Exercises
. 81
5
Descriptive statistics and graphs for one variable
83
5.1
Descriptive statistics and graphs
. 83
5.2
Where is the center of a distribution?
. 84
5.3
How dispersed is the distribution?
. 88
5.4
Statistics and graphs
—
unordered categories
. 90
5.5
Statistics and graphs
—
ordered categories and variables
. 98
5.6
Statistics and graphs
—
quantitative variables
. 100
5.7
Summary
. 106
5.8
Exercises
. 107
6
Statistics and graphs for two categorical variables
109
6.1
Relationship between categorical variables
. 109
6.2
Cross-tabulation
. 110
6.3
Chi-squared test
. 112
6.3.1
Degrees of freedom
. 114
Contents ix
6.3.2
Probability tables
. 115
6.4
Percentages and measures of association
. 117
6.5
Ordered categorical variables
. 119
6.6
Interactive tables
. 122
6.7
Tables
—
linking categorical and quantitative variables
. 124
6.8
Summary
. 127
6.9
Exercises
. 128
7
Tests for one or two means
131
7.1
Introduction to tests for one or two means
. 131
7.2
Randomization
. 134
7.3
Random sampling
. 136
7.4
Hypotheses
. 136
7.5
One-sample test of a proportion
. 136
7.6
Two-sample test of a proportion
. 139
7.7
One-sample test of means
. 143
7.8
Two-sample test of group means
. 145
7.8.1
Testing for unequal variances
. 150
7.9
Repeated-measures
t
test
. 151
7.10
Power analysis
. 153
7.11
Nonparametric alternatives
. 156
7.11.1
Mann-Whitney two-sample rank-sum test
. 156
7.11.2
Nonparametric alternative: median test
. 157
7.12
Summary
. 158
7.13
Exercises
. 159
8
Divariate
regression and correlation
161
8.1
Introduction to bivariate correlation and regression
. 161
8.2
Scattergrams
. 162
8.3
Plotting the regression line
. 167
8.4
Correlation
. 168
8.5
Regression
. 175
x
Contents
8.6
Spearman's rho: rank-order correlation for ordinal data
. 179
8.7
Summary
. 180
8.8
Exercises
. 181
9
Analysis of variance
183
9.1
The logic of one-way analysis of variance
. 183
9.2
ANOVA example
. 184
9.3
ANOVA example using survey data
. 191
9.4
A nonparametric alternative to ANOVA
. 194
9.5
Analysis of covariance
. 197
9.6
Two-way ANOVA
. 204
9.7
Repeated-measures design
. 208
9.8
Intraclass correlation
—
measuring agreement
. 213
9.9
Summary
. 215
9.10
Exercises
. 216
10
Multiple regression
219
10.1
Introduction to multiple regression
. 219
10.2
What is multiple regression?
. 220
10.3
The basic multiple regression command
. 220
10.4
Increment in R-squared: semipartial correlations
. 225
10.5
Is the dependent variable normally distributed?
. 226
10.6
Are the residuals normally distributed?
. 230
10.7
Regression diagnostic statistics
. 234
10.7.1
Outliers and influential cases
. 234
10.7.2
Influential observations: DFbeta
. 237
10.7.3
Combinations of variables may cause problems
. 238
10.8
Weighted data
. 240
10.9
Categorical predictors and hierarchical regression
. 242
10.10
Fundamentals of interaction
. 250
10.11
Summary
. 255
10.12
Exercises
. 257
Contents xi
11
Logistic
regression
259
11.1
Introduction to logistic regression
. 259
11.2
An example
. 260
11.3
What is an odds ratio and a logit?
. 264
11.3.1
The odds ratio
. 266
11.3.2
The logit transformation
. 266
11.4
Data used in rest of chapter
. 267
11.5
Logistic regression
. 268
11.6
Hypothesis testing
. 275
11.6.1
Testing individual coefficients
. 276
11.6.2
Testing sets of coefficients
. 277
11.7
Nested logistic regressions
. 279
11.8
Summary
. 281
11.9
Exercises
. 282
12
Measurement, reliability, and validity
283
12.1
Overview of reliability and validity
. 283
12.2
Constructing a scale
. 284
12.2.1
Generating a mean score for each person
. 285
12.3
Reliability
. 286
12.3.1
Stability and test-retest reliability
. 289
12.3.2
Equivalence
. 290
12.3.3
Split-half and alpha reliability
—
internal consistency
. 290
12.3.4
Kuder-Richardson reliability for dichotomous items
. 293
12.3.5
Rater agreement
—
kappa
(к)
. 294
12.4
Validity
. 297
12.4.1
Expert judgment
. 297
12.4.2
Criterion-related validity
. 298
12.4.3
Construct validity
. 299
12.5
Factor analysis
. 300
xii
Contents
12.6
PCF
analysis
. 305
12.6.1
Orthogonal rotation: varimax
. 308
12.6.2
Oblique rotation: promax
. 310
12.7
But we wanted one scale, not four scales
. 311
12.7.1
Scoring our variable
. 312
12.8
Summary
. 313
12.9
Exercises
. 314
13
Appendix: What's next?
315
13.1
Introduction to the appendix
. 315
13.2
Resources
. 315
13.2.1
Web resources
. 316
13.2.2
Books about
Stata
. 317
13.2.3
Short courses
. 318
13.2.4
Acquiring data
. 319
13.3
Summary
. 320
References
321
Author index
323
Subject index
325 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Acock, Alan C. 1944- |
| author_GND | (DE-588)1037993705 |
| author_facet | Acock, Alan C. 1944- |
| author_role | aut |
| author_sort | Acock, Alan C. 1944- |
| author_variant | a c a ac aca |
| building | Verbundindex |
| bvnumber | BV023328342 |
| callnumber-first | H - Social Science |
| callnumber-label | HA32 |
| callnumber-raw | HA32 |
| callnumber-search | HA32 |
| callnumber-sort | HA 232 |
| callnumber-subject | HA - Statistics |
| classification_rvk | QH 234 ST 601 |
| classification_tum | DAT 307f |
| ctrlnum | (OCoLC)271803600 (DE-599)BVBBV023328342 |
| dewey-full | 005.5/5 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.5/5 |
| dewey-search | 005.5/5 |
| dewey-sort | 15.5 15 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| edition | 2. ed. |
| format | Book |
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| genre | 1\p (DE-588)4151278-9 Einführung gnd-content |
| genre_facet | Einführung |
| id | DE-604.BV023328342 |
| illustrated | Illustrated |
| index_date | 2024-07-02T20:56:36Z |
| indexdate | 2024-07-09T21:15:59Z |
| institution | BVB |
| isbn | 9781597180436 1597180432 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016512311 |
| oclc_num | 271803600 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM DE-703 DE-473 DE-BY-UBG DE-20 DE-91S DE-BY-TUM DE-384 |
| owner_facet | DE-19 DE-BY-UBM DE-703 DE-473 DE-BY-UBG DE-20 DE-91S DE-BY-TUM DE-384 |
| physical | XX, 333 S. graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Stata Press |
| record_format | marc |
| spelling | Acock, Alan C. 1944- Verfasser (DE-588)1037993705 aut A gentle introduction to Stata Alan C. Acock 2. ed. College Station, Texas Stata Press 2008 XX, 333 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Stata Handbooks, manuals, etc Sozialwissenschaften Statistik Social sciences Statistical methods Computer programs Social sciences Statistics Computer programs Statistics Graphic methods Computer programs Stata (DE-588)4617285-3 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Stata (DE-588)4617285-3 s DE-604 Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016512311&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Acock, Alan C. 1944- A gentle introduction to Stata Stata Handbooks, manuals, etc Sozialwissenschaften Statistik Social sciences Statistical methods Computer programs Social sciences Statistics Computer programs Statistics Graphic methods Computer programs Stata (DE-588)4617285-3 gnd |
| subject_GND | (DE-588)4617285-3 (DE-588)4151278-9 |
| title | A gentle introduction to Stata |
| title_auth | A gentle introduction to Stata |
| title_exact_search | A gentle introduction to Stata |
| title_exact_search_txtP | A gentle introduction to Stata |
| title_full | A gentle introduction to Stata Alan C. Acock |
| title_fullStr | A gentle introduction to Stata Alan C. Acock |
| title_full_unstemmed | A gentle introduction to Stata Alan C. Acock |
| title_short | A gentle introduction to Stata |
| title_sort | a gentle introduction to stata |
| topic | Stata Handbooks, manuals, etc Sozialwissenschaften Statistik Social sciences Statistical methods Computer programs Social sciences Statistics Computer programs Statistics Graphic methods Computer programs Stata (DE-588)4617285-3 gnd |
| topic_facet | Stata Handbooks, manuals, etc Sozialwissenschaften Statistik Social sciences Statistical methods Computer programs Social sciences Statistics Computer programs Statistics Graphic methods Computer programs Stata Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016512311&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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