A gentle introduction to Stata:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
College Station, Texas
Stata Press
2010
|
| Edition: | 3. ed. |
| Subjects: | |
| Online Access: | Klappentext Inhaltsverzeichnis |
| Physical Description: | XXIV, 393 S. graph. Darst. |
| ISBN: | 9781597180757 1597180750 |
Staff View
MARC
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| 245 | 1 | 0 | |a A gentle introduction to Stata |c Alan C. Acock |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a College Station, Texas |b Stata Press |c 2010 | |
| 300 | |a XXIV, 393 S. |b graph. Darst. | ||
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Record in the Search Index
| _version_ | 1804143374420148224 |
|---|---|
| adam_text | A Gentle Introduction to
Stata,
Third Edition is for people who need to learn
Stata
but
who may not have a strong background in statistics or prior experience with statistical
software packages. After working through this book, you will be able to enter, build, and
manage
a dataset,
and perform fundamental statistical analyses. This book is organized
like the unfolding of a research project. You begin by learning how to enter and manage
data and how to do basic descriptive statistics and graphical analysis. Then you learn how
to perform standard statistical procedures from
t
tests, nonparametric tests, and measures
of association through ANOVA, multiple regression, and logistic regression. Readers who
have experience with another statistical package may benefit more by reading chapters
selectively and referring to this book as needed.
The third edition has incorporated a new chapter on working with missing values, including
the multiple-imputation procedure that became available in
Stata
11.
It is a remarkable
strength of
Stata
to simply and correctly analyze data in which many of the observations have
missing values. The chapter on ANOVA has been extensively revised. Material on how to do
a power analysis has been added to the presentations of many statistical applications.
Alan Acock is a sociologist and a University Distinguished Professor of Family Science in
the College of Health and Human Sciences at Oregon State University. He also holds the
Knudson Chair for Family Research. He has published more than
120
articles in leading
journals across the social and behavioral sciences, including Structural Equation Modeling,
Psychological Bulletin, Multivariate Behavioral Research, Journal of Gerontology,
Journal of Adolescence, American Journal of Public Health, American Sociological
Reviewjournal
of Marriage and Family, Social Forces, Drug and Alcohol Dependence,
Educational and Psychological Measurement, Journal of Politics, Prevention Science,
American Journal of Preventive Medicine, and many others. With this broad experience,
Acock brings examples from a variety of disciplines.
Contents
List of tables
xv
List of figures
xvii
Preface
xxi
Support materials for the book
xxiii
Getting started
1
1.1
Conventions
................................ 1
1.2
Introduction
................................ 4
1.3
The
Stata
screen
............................. 7
1.4
Using an existing
dataset
........................ 9
1.5
An example of a short
Stata
session
.................. 11
1.6
Summary
................................. 18
1.7
Exercises
.................................. 18
Entering data
21
2.1
Creating
a dataset
............................ 21
2.2
An example questionnaire
........................ 23
2.3
Developing a coding system
....................... 24
2.4
Entering data using the Data Editor
.................. 29
2.4.1
Value labels
........................... 32
2.5
The Variables Manager
.......................... 33
2.6
The Data Editor (Browse) view
..................... 38
2.7
Saving your
dataset
............................ 39
2.8
Checking the data
............................ 41
2.9
Summary
................................. 44
2.10
Exercises
.................................. 44
Contents
Preparing data for analysis
47
3.1
Introduction
................................ 47
3.2
Planning your work
............................ 47
3.3
Creating value labels
........................... 53
3.4
Reverse-code variables
.......................... 56
3.5
Creating and modifying variables
.................... 60
3.6
Creating scales
..............................
65
3.7
Saving some of your data
........................ 68
3.8
Summary
.................................
69
3.9
Exercises
..................................
70
Working with commands, do-files, and results
71
4.1
Introduction
................................ 71
4.2
How
Stata
commands are constructed
................. 72
4.3
Creating a do-file
............................. 76
4.4
Copying your results to a word processor
................ 82
4.5
Logging your command file
....................... 83
4.6
Summary
................................. 85
4.7
Exercises
.................................. 86
Descriptive statistics and graphs for one variable
87
5.1
Descriptive statistics and graphs
.................... 87
5.2
Where is the center of a distribution?
.................. 88
5.3
How dispersed is the distribution?
................... 92
5.4
Statistics and graphs
—
unordered categories
.............. 94
5.5
Statistics and graphs
—
ordered categories and variables
........ 103
5.6
Statistics and graphs
—
quantitative variables
............. 105
5.7
Summary
................................. 112
5.8
Exercises
.................................. 113
Statistics and graphs for two categorical variables
117
6.1
Relationship between categorical variables
............... 117
6.2
Cross-tabulation
......................... 118
Contents ix
6.3 Chi-squared
test .............................
121
6.3.1
Degrees of freedom
....................... 123
6.3.2
Probability tables
........................ 123
6.4
Percentages and measures of association
................ 125
6.5
Odds ratios when dependent variable has two categories
....... 128
6.6
Ordered categorical variables
...................... 130
6.7
Interactive tables
............................. 133
6.8
Tables
—
linking categorical and quantitative variables
........ 135
6.9
Power analysis when using a chi-squared test of significance
..... 138
6.10
Summary
................................. 140
6.11
Exercises
.................................. 141
7
Tests for one or two means
143
7.1
Introduction to tests for one or two means
............... 143
7.2
Randomization
.............................. 146
7.3
Random sampling
............................. 148
7.4
Hypotheses
................................ 148
7.5
One-sample test of a proportion
..................... 149
7.6
Two-sample test of a proportion
.................... 151
7.7
One-sample test of means
........................ 155
7.8
Two-sample test of group means
.................... 157
7.8.1
Testing for unequal variances
................. 163
7.9
Repeated-measures
t
test
........................ 164
7.10
Power analysis
.............................. 166
7.11
Nonparametric alternatives
....................... 173
7.11.1
Mann-Whitney two-sample rank-sum test
.......... 174
7.11.2
Nonparametric alternative: Median test
........... 175
7.12
Summary
................................. 175
7.13
Exercises
.................................. 176
8
Divariate
correlation and regression
179
8.1
Introduction to bivariate correlation and regression
.......... 179
x
Contents
8.2
Scattergrams
............................... 180
8.3
Plotting the regression line
........................ 185
8.4
Correlation
................................ 186
8.5
Regression
................................. 192
8.6
Spearman s rho: Rank-order correlation for ordinal data
....... 197
8.7
Summary
................................. 198
8.8
Exercises
.................................. 198
9
Analysis of variance
201
9.1
The logic of one-way analysis of variance
................ 201
9.2
ANOVA example
............................. 202
9.3
ANOVA example using survey data
................... 209
9.4
A nonparametric alternative to ANOVA
................ 212
9.5
Analysis of covariance
.......................... 215
9.6
Two-way ANOVA
............................. 226
9.7
Repeated-measures design
........................ 231
9.8
Intraclass correlation
—
measuring agreement
.............. 237
9.9
Summary
................................. 239
9.10
Exercises
.................................. 240
10
Multiple regression
243
10.1
Introduction to multiple regression
................... 243
10.2
What is multiple regression?
....................... 244
10.3
The basic multiple regression command
................ 245
10.4
Increment in R-squared: Semipartial correlations
........... 249
10.5
Is the dependent variable normally distributed?
............ 251
10.6
Are the residuals normally distributed?
................. 254
10.7
Regression diagnostic statistics
..................... 258
10.7.1
Outliers and influential cases
.................. 258
10.7.2
Influential observations: DFbeta
................ 261
10.7.3
Combinations of variables may cause problems
........ 262
10.8
Weighted data
.................................. 264
Contents xi
10.9
Categorical predictors and hierarchical regression
........... 266
10.10
A shortcut for working with a categorical variable
........... 274
10.11
Fundamentals of interaction
....................... 276
10.12
Power analysis in multiple regression
.................. 282
10.13
Summary
................................. 285
10.14
Exercises
.................................. 286
11
Logistic regression
289
11.1
Introduction to logistic regression
.................... 289
11.2
An example
................................ 290
11.3
What is an odds ratio and a logit?
................... 294
11.3.1
The odds ratio
......................... 296
11.3.2
The logit transformation
.................... 296
11.4
Data used in the rest of the chapter
.................. 297
11.5
Logistic regression
............................ 298
11.6
Hypothesis testing
............................ 305
11.6.1
Testing individual coefficients
................. 306
11.6.2
Testing sets of coefficients
................... 307
11.7
Nested logistic regressions
........................ 309
11.8
Power analysis when doing logistic regression
............. 311
11.9
Summary
................................. 314
11.10
Exercises
.................................. 315
12
Measurement, reliability, and validity
317
12.1
Overview of reliability and validity
................... 317
12.2
Constructing a scale
........................... 318
12.2.1
Generating a mean score for each person
........... 319
12.3
Reliability
................................. 320
12.3.1
Stability and test
-retest
reliability
.............. 323
12.3.2
Equivalence
........................... 324
12.3.3
Split-half and alpha reliability
—
internal consistency
.... 324
12.3.4
Kuder-Richardson reliability for dichotomous items
..... 327
xii
ŕ
. of
ι
(«. fl
t.s
12.3.5
Rater
agreement
kappa
(к)
.................. 328
12.4
Validity
.................................. 331
12.4.1
Expert
judgment
........................ 331
12.4.2
Criterion-related validity
.................... 332
12.4.3
Construct validity
........................ 333
12.5
Factor analysis
.............................. 334
12.6
PCF
analysis
............................... 339
12.6.1
Orthogonal rotation: Varimax
................. 342
12.6.2
Oblique rotation: Promax
................... 344
12.7
But we wanted one scale, not four scales
................ 345
12.7.1
Scoring our variable
....................... 346
12.8
Summary
................................. 347
12.9
Exercises
.................................. 348
13
Working with missing values
—
multiple imputation
349
13.1
The nature of the problem
........................ 349
13.2
Multiple imputation and its assumptions about the mechanism for
missingness
................................ 351
13.3
What variables do we include when doing imputations?
....... 353
13.4
Multiple imputation
........................... 354
13.5
A detailed example
............................ 355
13.5.1
Preliminary analysis
...................... 355
13.5.2
Setup and multiple-imputation stage
............. 360
13.5.3
The analysis stage
....................... 362
13.5.4
For those who want an R2 and standardized
ββ
....... 363
13.5.5
When impossible values are imputed
............. 366
13.6
Summary
................................. 367
13.7
Exercises
.................................. 369
A What s next?
371
A.I Introduction to the appendix
...................... 371
A.
2
Resources
................................. 371
Contents
xiii
Α.
2.1
Web resources
.......................... 372
Α.
2.2
Books about
Stata
....................... 373
A.2.3 Short courses
.......................... 375
A.
2.4
Acquiring data
......................... 376
A.3 Summary
................................. 377
References
379
Author index
383
Subject index
385
|
| any_adam_object | 1 |
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| dewey-full | 519.50285536922 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.502855369 22 |
| dewey-search | 519.502855369 22 |
| dewey-sort | 3519.502855369 222 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik Wirtschaftswissenschaften |
| edition | 3. ed. |
| format | Book |
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| language | English |
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| physical | XXIV, 393 S. graph. Darst. |
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| spelling | Acock, Alan C. 1944- Verfasser (DE-588)1037993705 aut A gentle introduction to Stata Alan C. Acock 3. ed. College Station, Texas Stata Press 2010 XXIV, 393 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier 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 Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020642283&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020642283&sequence=000004&line_number=0002&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 (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_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 (DE-588)4617285-3 gnd |
| topic_facet | Stata Einführung |
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