| Description |
vi, 93 pages : illustrations ; 22 cm |
| Series |
Quantitative applications in the social sciences ; v. 140 |
|
Quantitative applications in the social sciences ; no. 140
|
| Contents |
1. Introduction and Overview -- 2. Confidence Statements and Interval Estimates -- 3. Central Confidence Intervals -- 4. Noncentral Confidence Intervals for Standardized Effect Sizes -- 5. Applications in ANOVA and Regression -- 6. Applications in Categorical Data Analysis -- 7. Significance Tests and Power Analysis -- 8. Concluding Remarks |
| Summary |
"Smithson first introduces the basis of the confidence interval framework and then provides the criteria for "best" confidence intervals, along with the tradeoffs between confidence and precision. Next, using a reader-friendly style with lots of worked out examples from various disciplines, he covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power."--Pub. desc |
| Bibliography |
Includes bibliographical references (pages 90-92) |
| Subject |
Confidence intervals.
|
|
Social sciences -- Statistical methods.
|
|
Social sciences -- Mathematics.
|
|
Confidence Intervals.
|
|
Sociometric Techniques.
|
| LC no. |
2002009707 |
| ISBN |
076192499X (paperback: alk. paper) |
|
