Applied Statistics for the Social and Health Sciences by Gordon Rachel A
Author:Gordon, Rachel A.
Language: eng
Format: epub
Publisher: Taylor & Francis Ltd
10.4.2: Literature Excerpt 10.3
Our second literature excerpt, published in the journal Public Health Reports, provides an example of presenting confidence intervals for regression coefficients, a practice that is standard in public health but less common in social science journals. The authors, Leo Morales, Peter Guitierrez, and Jose Escarce were interested in extending the established finding that Hispanic children have higher blood lead levels than non-Hispanic children by exploring variation in blood lead levels among Hispanic children.
Literature Excerpt 10.3 shows Table 3 from the article which presents point estimates and confidence intervals from two multiple regression models predicting children's blood lead levels. Let's first examine the similarities and differences between this table's layout and contents and those of Literature Excerpt 10.2 and Literature Excerpt 9.1. Most salient is that the authors present the point estimate and confidence interval, but not the standard error nor t-ratio, within the table. The notes tell us that all significance levels are indicated with superscript letters (a for p < .01 and b for p < .05). Scanning the results, we can see that the only cases which do not have a superscript letter are confidence intervals that include zero, as expected (i.e., second-generational status; Spanish and English home language; educational attainment of 7 to 12 in Model 2; and well drinking water).
Literature Excerpt 10.3
Table 3. Continuous measure of lead among Mexican-American youth 1 to 17 years of age
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Biomathematics | Differential Equations |
Game Theory | Graph Theory |
Linear Programming | Probability & Statistics |
Statistics | Stochastic Modeling |
Vector Analysis |
Weapons of Math Destruction by Cathy O'Neil(5015)
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think by Hans Rosling(3996)
Factfulness_Ten Reasons We're Wrong About the World_and Why Things Are Better Than You Think by Hans Rosling(2745)
Descartes' Error by Antonio Damasio(2718)
A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra) by Barbara Oakley(2674)
TCP IP by Todd Lammle(2615)
Applied Predictive Modeling by Max Kuhn & Kjell Johnson(2460)
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets by Nassim Nicholas Taleb(2398)
The Book of Numbers by Peter Bentley(2392)
The Tyranny of Metrics by Jerry Z. Muller(2383)
The Great Unknown by Marcus du Sautoy(2170)
Once Upon an Algorithm by Martin Erwig(2135)
Easy Algebra Step-by-Step by Sandra Luna McCune(2104)
Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2) by Alboukadel Kassambara(2081)
Lady Luck by Kristen Ashley(2058)
Police Exams Prep 2018-2019 by Kaplan Test Prep(2018)
Linear Time-Invariant Systems, Behaviors and Modules by Ulrich Oberst & Martin Scheicher & Ingrid Scheicher(1977)
All Things Reconsidered by Bill Thompson III(1950)
Secrets of Creation, Volume 1: The Mystery of the Prime Numbers by Watkins Matthew(1852)