Statistical methods for the social sciences:
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Upper Saddle River, NJ
Pearson Prentice Hall
2009
|
Ausgabe: | 4. ed., internat. ed. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XIII, 609 S. graph. Darst. |
ISBN: | 9780137131501 013713150X |
Internformat
MARC
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100 | 1 | |a Agresti, Alan |d 1947- |e Verfasser |0 (DE-588)141458062 |4 aut | |
245 | 1 | 0 | |a Statistical methods for the social sciences |c Alan Agresti ; Barbara Finlay |
250 | |a 4. ed., internat. ed. | ||
264 | 1 | |a Upper Saddle River, NJ |b Pearson Prentice Hall |c 2009 | |
300 | |a XIII, 609 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
650 | 7 | |a Sociale wetenschappen |2 gtt | |
650 | 7 | |a Statistiek |2 gtt | |
650 | 7 | |a Wetenschappelijke technieken |2 gtt | |
650 | 4 | |a Sozialwissenschaften | |
650 | 4 | |a Statistik | |
650 | 4 | |a Wissenschaftliches Arbeiten | |
650 | 4 | |a Social sciences |x Statistical methods | |
650 | 4 | |a Statistics | |
650 | 0 | 7 | |a Sozialwissenschaften |0 (DE-588)4055916-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
_version_ | 1804137472211288064 |
---|---|
adam_text | Contents
Preface
ix
Acknowledgments
xiii
1
Introduction
1
1.1
Introduction to Statistical Methodology
.................. 1
1.2
Descriptive Statistics and Inferential Statistics
.............. 4
1.3
The Role of Computers in Statistics
.................... 6
1.4
Chapter Summary
.............................. 7
2
Sampling and Measurement
11
2.1
Variables and Their Measurement
..................... 11
2.2
Randomization
............................... 15
2.3
Sampling Variability and Potential Bias
.................. 18
2.4
Other Probability Sampling Methods*
.................. 21
2.5
Chapter Summary
.............................. 24
3
Descriptive Statistics
31
3.1
Describing Data with Tables and Graphs
................. 31
3.2
Describing the Center of the Data
..................... 38
3.3
Describing Variability of the Data
..................... 46
3.4
Measures of Position
............................ 51
3.5
Bivariate Descriptive Statistics
....................... 55
3.6
Sample Statistics and Population Parameters
............... 58
3.7
Chapter Summary
.............................. 59
4
Probability Distributions
73
4.1
Introduction to Probability
......................... 73
4.2
Probability Distributions for Discrete and Continuous Variables
... 75
4.3
The Normal Probability Distribution
................... 78
4.4
Sampling Distributions Describe How Statistics Vary
.......... 85
4.5
Sampling Distributions of Sample Means
................. 89
4.6
Review: Population, Sample Data, and Sampling Distributions
.... 95
4.7
Chapter Summary
.............................. 99
5
Statistical Inference: Estimation
107
5.1
Point and Interval Estimation
....................... 107
5.2
Confidence Interval for a Proportion
................... 110
5.3
Confidence Interval for a Mean
...................... 116
5.4
Choice of Sample Size
............................ 124
5.5
Confidence Intervals for Median and Other Parameters*
........ 129
5.6
Chapter Summary
.............................. 132
6
Statistical Inference: Significance Tests
143
6.1
The Five Parts of a Significance Test
................... 144
6.2
Significance Test for a Mean
........................ 147
6.3
Significance Test for a* Proportion
..................... 156
*Sections or subsections marked with an asterisk have less importance for a first introduction to statistics and are optional. V
vi
Contents
6.4
Decisions and Types of Errors in Tests
.................. 159
6.5
Limitations of Significance Tests
...................... 163
6.6
Calculating
Ρ
(Type II Error)*
....................... 166
6.7
Small-Sample Test for a Proportion
—
the Binomial Distribution*
. . . 169
6.8
Chapter Summary
.............................. 173
7
Comparison of Two Groups
183
7.1
Preliminaries for Comparing Groups
................... 183
7.2
Categorical Data: Comparing Two Proportions
............. 187
7.3
Quantitative Data: Comparing Two Means
................ 191
7.4
Comparing Means with Dependent Samples
............... 193
7.5
Other Methods for Comparing Means*
.................. 197
7.6
Other Methods for Comparing Proportions*
............... 201
7.7
Nonparametric Statistics for Comparing Groups*
............ 205
7.8
Chapter Summary
.............................. 208
8
Analyzing Association between Categorical Variables
221
8.1
Contingency Tables
............................. 221
8.2
Chi-Squared Test of Independence
.................... 224
8.3
Residuals: Detecting the Pattern of Association
............. 229
8.4
Measuring Association in Contingency Tables
.............. 233
8.5
Association between Ordinal Variables*
................. 239
8.6
Inference for Ordinal Associations*
.................... 243
8.7
Chapter Summary
.............................. 246
9
Linear Regression and Correlation
255
9.1
Linear Relationships
............................ 256
9.2
Least Squares Prediction Equation
.................... 259
9.3
The Linear Regression Model
....................... 265
9.4
Measuring Linear Association: The Correlation
............. 269
9.5
Inferences for the Slope and Correlation
................. 276
9.6
Model Assumptions and Violations
.................... 283
9.7
Chapter Summary
.............................. 288
10
Introduction to Multivariate Relationships
301
10.1
Association and Causality
......................... 301
10.2
Controlling for Other Variables
...................... 304
10.3
Types of Multivariate Relationships
.................... 307
10.4
Inferential Issues in Statistical Control
.................. 313
10.5
Chapter Summary
.............................. 314
11
Multiple Regression and Correlation
321
11.1
The Multiple Regression Model
...................... 321
11.2
Example with Multiple Regression Computer Output
.......... 326
11.3
Multiple Correlation and R1
........................ 331
11.4
Inference for Multiple Regression Coefficients
.............. 335
11.5
Interaction between Predictors in Their Effects
............. 340
11.6
Comparing Regression Models
....................... 345
11.7
Partial Correlation*
............................. 347
11.8
Standardized Regression Coefficients*
.................. 351
11.9
Chapter Summary
.............................. 354
Contents
vii
12
Comparing Groups: Analysis of Variance
(ANOVA)
Methods
369
12.1
Comparing Several Means: The Analysis of Variance
F
Test
...... 369
12.2
Multiple Comparisons of Means
...................... 376
12.3
Performing ANOVA by Regression Modeling
.............. 378
12.4
Two-Way Analysis of Variance
...................... 382
12.5
Two-Way ANOVA and Regression
.................... 386
12.6
Repeated Measures Analysis of Variance*
................ 391
12.7
Two-Way ANOVA with Repeated Measures on a Factor*
....... 395
12.8
Effects of Violations of ANOVA Assumptions
............. 400
12.9
Chapter Summary
.............................. 402
13
Combining Regression and ANOVA: Quantitative and
Categorical Predictors
413
13.1
Comparing Means and Comparing Regression Lines
.......... 414
13.2
Regression with Quantitative and Categorical Predictors
........ 416
13.3
Permitting Interaction between Quantitative and Categorical
Predictors
................................... 419
13.4
Inference for Regression with Quantitative and Categorical
Predictors
................................... 422
13.5
Adjusted Means*
.............................. 426
13.6
Chapter Summary
.............................. 433
14
Model Building with Multiple Regression
441
14.1
Model Selection Procedures
........................ 441
14.2
Regression Diagnostics
........................... 448
14.3
Effects of Multicollinearity
......................... 456
14.4
Generalized Linear Models
......................... 458
14.5
Nonlinear Relationships: Polynomial Regression
............ 462
14.6
Exponential Regression and Log Transforms*
.............. 469
14.7
Chapter Summary
.............................. 473
15
Logistic Regression: Modeling Categorical Responses
483
15.1
Logistic Regression
............................. 483
15.2
Multiple Logistic Regression
........................ 488
15.3
Inference for Logistic Regression Models
................. 493
15.4
Logistic Regression Models for Ordinal Variables*
........... 496
15.5
Logistic Models for Nominal Responses*
................. 501
15.6 Loglinear
Models for Categorical Variables*
............... 503
15.7
Model Goodness-of-Fit Tests for Contingency Tables*
......... 507
15.8
Chapter Summary
.............................. 511
16
An Introduction to Advanced Methodology
519
16.1
Longitudinal Data Analysis*
........................ 519
16.2
Multilevel (Hierarchical) Models*
..................... 523
16.3
Event History Models*
........................... 524
16.4
Path Analysis*
................................ 527
16.5
Factor Analysis*
............................... 532
16.6
Structural Equation Models*
........................ 537
16.7
Markov Chains*
............................... 541
viii Contents
Appendix
A: SPSS and SAStor Statistical Analyses
545
Appendix B: Answers to Selected Odd-Numbered Exercises
567
Tables
591
Bibliography
599
Index
601
|
adam_txt |
Contents
Preface
ix
Acknowledgments
xiii
1
Introduction
1
1.1
Introduction to Statistical Methodology
. 1
1.2
Descriptive Statistics and Inferential Statistics
. 4
1.3
The Role of Computers in Statistics
. 6
1.4
Chapter Summary
. 7
2
Sampling and Measurement
11
2.1
Variables and Their Measurement
. 11
2.2
Randomization
. 15
2.3
Sampling Variability and Potential Bias
. 18
2.4
Other Probability Sampling Methods*
. 21
2.5
Chapter Summary
. 24
3
Descriptive Statistics
31
3.1
Describing Data with Tables and Graphs
. 31
3.2
Describing the Center of the Data
. 38
3.3
Describing Variability of the Data
. 46
3.4
Measures of Position
. 51
3.5
Bivariate Descriptive Statistics
. 55
3.6
Sample Statistics and Population Parameters
. 58
3.7
Chapter Summary
. 59
4
Probability Distributions
73
4.1
Introduction to Probability
. 73
4.2
Probability Distributions for Discrete and Continuous Variables
. 75
4.3
The Normal Probability Distribution
. 78
4.4
Sampling Distributions Describe How Statistics Vary
. 85
4.5
Sampling Distributions of Sample Means
. 89
4.6
Review: Population, Sample Data, and Sampling Distributions
. 95
4.7
Chapter Summary
. 99
5
Statistical Inference: Estimation
107
5.1
Point and Interval Estimation
. 107
5.2
Confidence Interval for a Proportion
. 110
5.3
Confidence Interval for a Mean
. 116
5.4
Choice of Sample Size
. 124
5.5
Confidence Intervals for Median and Other Parameters*
. 129
5.6
Chapter Summary
. 132
6
Statistical Inference: Significance Tests
143
6.1
The Five Parts of a Significance Test
. 144
6.2
Significance Test for a Mean
. 147
6.3
Significance Test for a* Proportion
. 156
*Sections or subsections marked with an asterisk have less importance for a first introduction to statistics and are optional. V
vi
Contents
6.4
Decisions and Types of Errors in Tests
. 159
6.5
Limitations of Significance Tests
. 163
6.6
Calculating
Ρ
(Type II Error)*
. 166
6.7
Small-Sample Test for a Proportion
—
the Binomial Distribution*
. . . 169
6.8
Chapter Summary
. 173
7
Comparison of Two Groups
183
7.1
Preliminaries for Comparing Groups
. 183
7.2
Categorical Data: Comparing Two Proportions
. 187
7.3
Quantitative Data: Comparing Two Means
. 191
7.4
Comparing Means with Dependent Samples
. 193
7.5
Other Methods for Comparing Means*
. 197
7.6
Other Methods for Comparing Proportions*
. 201
7.7
Nonparametric Statistics for Comparing Groups*
. 205
7.8
Chapter Summary
. 208
8
Analyzing Association between Categorical Variables
221
8.1
Contingency Tables
. 221
8.2
Chi-Squared Test of Independence
. 224
8.3
Residuals: Detecting the Pattern of Association
. 229
8.4
Measuring Association in Contingency Tables
. 233
8.5
Association between Ordinal Variables*
. 239
8.6
Inference for Ordinal Associations*
. 243
8.7
Chapter Summary
. 246
9
Linear Regression and Correlation
255
9.1
Linear Relationships
. 256
9.2
Least Squares Prediction Equation
. 259
9.3
The Linear Regression Model
. 265
9.4
Measuring Linear Association: The Correlation
. 269
9.5
Inferences for the Slope and Correlation
. 276
9.6
Model Assumptions and Violations
. 283
9.7
Chapter Summary
. 288
10
Introduction to Multivariate Relationships
301
10.1
Association and Causality
. 301
10.2
Controlling for Other Variables
. 304
10.3
Types of Multivariate Relationships
. 307
10.4
Inferential Issues in Statistical Control
. 313
10.5
Chapter Summary
. 314
11
Multiple Regression and Correlation
321
11.1
The Multiple Regression Model
. 321
11.2
Example with Multiple Regression Computer Output
. 326
11.3
Multiple Correlation and R1
. 331
11.4
Inference for Multiple Regression Coefficients
. 335
11.5
Interaction between Predictors in Their Effects
. 340
11.6
Comparing Regression Models
. 345
11.7
Partial Correlation*
. 347
11.8
Standardized Regression Coefficients*
. 351
11.9
Chapter Summary
. 354
Contents
vii
12
Comparing Groups: Analysis of Variance
(ANOVA)
Methods
369
12.1
Comparing Several Means: The Analysis of Variance
F
Test
. 369
12.2
Multiple Comparisons of Means
. 376
12.3
Performing ANOVA by Regression Modeling
. 378
12.4
Two-Way Analysis of Variance
. 382
12.5
Two-Way ANOVA and Regression
. 386
12.6
Repeated Measures Analysis of Variance*
. 391
12.7
Two-Way ANOVA with Repeated Measures on a Factor*
. 395
12.8
Effects of Violations of ANOVA Assumptions
. 400
12.9
Chapter Summary
. 402
13
Combining Regression and ANOVA: Quantitative and
Categorical Predictors
413
13.1
Comparing Means and Comparing Regression Lines
. 414
13.2
Regression with Quantitative and Categorical Predictors
. 416
13.3
Permitting Interaction between Quantitative and Categorical
Predictors
. 419
13.4
Inference for Regression with Quantitative and Categorical
Predictors
. 422
13.5
Adjusted Means*
. 426
13.6
Chapter Summary
. 433
14
Model Building with Multiple Regression
441
14.1
Model Selection Procedures
. 441
14.2
Regression Diagnostics
. 448
14.3
Effects of Multicollinearity
. 456
14.4
Generalized Linear Models
. 458
14.5
Nonlinear Relationships: Polynomial Regression
. 462
14.6
Exponential Regression and Log Transforms*
. 469
14.7
Chapter Summary
. 473
15
Logistic Regression: Modeling Categorical Responses
483
15.1
Logistic Regression
. 483
15.2
Multiple Logistic Regression
. 488
15.3
Inference for Logistic Regression Models
. 493
15.4
Logistic Regression Models for Ordinal Variables*
. 496
15.5
Logistic Models for Nominal Responses*
. 501
15.6 Loglinear
Models for Categorical Variables*
. 503
15.7
Model Goodness-of-Fit Tests for Contingency Tables*
. 507
15.8
Chapter Summary
. 511
16
An Introduction to Advanced Methodology
519
16.1
Longitudinal Data Analysis*
. 519
16.2
Multilevel (Hierarchical) Models*
. 523
16.3
Event History Models*
. 524
16.4
Path Analysis*
. 527
16.5
Factor Analysis*
. 532
16.6
Structural Equation Models*
. 537
16.7
Markov Chains*
. 541
viii Contents
Appendix
A: SPSS and SAStor Statistical Analyses
545
Appendix B: Answers to Selected Odd-Numbered Exercises
567
Tables
591
Bibliography
599
Index
601 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Agresti, Alan 1947- Finlay, Barbara |
author_GND | (DE-588)141458062 |
author_facet | Agresti, Alan 1947- Finlay, Barbara |
author_role | aut aut |
author_sort | Agresti, Alan 1947- |
author_variant | a a aa b f bf |
building | Verbundindex |
bvnumber | BV023197373 |
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callnumber-label | QA276 |
callnumber-raw | QA276.12 |
callnumber-search | QA276.12 |
callnumber-sort | QA 3276.12 |
callnumber-subject | QA - Mathematics |
classification_rvk | CM 4000 MR 2100 QH 250 SK 990 |
ctrlnum | (OCoLC)173243875 (DE-599)BVBBV023197373 |
dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Soziologie Psychologie Mathematik Wirtschaftswissenschaften |
discipline_str_mv | Soziologie Psychologie Mathematik Wirtschaftswissenschaften |
edition | 4. ed., internat. ed. |
format | Book |
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id | DE-604.BV023197373 |
illustrated | Illustrated |
index_date | 2024-07-02T20:06:52Z |
indexdate | 2024-07-09T21:12:50Z |
institution | BVB |
isbn | 9780137131501 013713150X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016383674 |
oclc_num | 173243875 |
open_access_boolean | |
owner | DE-473 DE-BY-UBG DE-703 DE-945 DE-11 DE-188 |
owner_facet | DE-473 DE-BY-UBG DE-703 DE-945 DE-11 DE-188 |
physical | XIII, 609 S. graph. Darst. |
publishDate | 2009 |
publishDateSearch | 2009 |
publishDateSort | 2009 |
publisher | Pearson Prentice Hall |
record_format | marc |
spelling | Agresti, Alan 1947- Verfasser (DE-588)141458062 aut Statistical methods for the social sciences Alan Agresti ; Barbara Finlay 4. ed., internat. ed. Upper Saddle River, NJ Pearson Prentice Hall 2009 XIII, 609 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Sociale wetenschappen gtt Statistiek gtt Wetenschappelijke technieken gtt Sozialwissenschaften Statistik Wissenschaftliches Arbeiten Social sciences Statistical methods Statistics Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Statistik (DE-588)4056995-0 s Sozialwissenschaften (DE-588)4055916-6 s DE-604 Empirische Sozialforschung (DE-588)4014606-6 s 1\p DE-604 Finlay, Barbara Verfasser aut Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016383674&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 | Agresti, Alan 1947- Finlay, Barbara Statistical methods for the social sciences Sociale wetenschappen gtt Statistiek gtt Wetenschappelijke technieken gtt Sozialwissenschaften Statistik Wissenschaftliches Arbeiten Social sciences Statistical methods Statistics Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd |
subject_GND | (DE-588)4055916-6 (DE-588)4056995-0 (DE-588)4014606-6 |
title | Statistical methods for the social sciences |
title_auth | Statistical methods for the social sciences |
title_exact_search | Statistical methods for the social sciences |
title_exact_search_txtP | Statistical methods for the social sciences |
title_full | Statistical methods for the social sciences Alan Agresti ; Barbara Finlay |
title_fullStr | Statistical methods for the social sciences Alan Agresti ; Barbara Finlay |
title_full_unstemmed | Statistical methods for the social sciences Alan Agresti ; Barbara Finlay |
title_short | Statistical methods for the social sciences |
title_sort | statistical methods for the social sciences |
topic | Sociale wetenschappen gtt Statistiek gtt Wetenschappelijke technieken gtt Sozialwissenschaften Statistik Wissenschaftliches Arbeiten Social sciences Statistical methods Statistics Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd |
topic_facet | Sociale wetenschappen Statistiek Wetenschappelijke technieken Sozialwissenschaften Statistik Wissenschaftliches Arbeiten Social sciences Statistical methods Statistics Empirische Sozialforschung |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016383674&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT agrestialan statisticalmethodsforthesocialsciences AT finlaybarbara statisticalmethodsforthesocialsciences |