Soc 63993, Advanced Social Statistics II
Homework No. 9
Logistic Regression
I.
As we saw in the class handout on the PSI teaching example, 8 of the 14 students who
were in PSI got As compared to only 3 of the 18 students who were in a conventional classro
Ordered Logit Models - Overview
This is adapted heavily from Menards Applied Logistic Regression analysis; also, Borooahs
Logit and Probit: Ordered and Multinomial Models; Also, Hamiltons Statistics with Stata,
Updated for Version 7.
We have talked about
Logistic Regression, Part III:
Hypothesis Testing, Comparisons to OLS
[This handout steals heavily from the SPSS Advanced Statistics User Guide. Also, Linear
probability, logit, and probit models, by John Aldrich and Forrest Nelson, paper # 45 in the Sage
Logistic Regression, Part II:
The Logistic Regression Model (LRM) Interpreting Parameters
[This handout steals heavily from Linear probability, logit, and probit models, by John Aldrich
and Forrest Nelson, paper # 45 in the Sage series on Quantitative App
Logistic Regression, Part I:
Problems with the Linear Probability Model (LPM)
[This handout steals heavily from Linear probability, logit, and probit models, by John Aldrich
and Forrest Nelson, paper # 45 in the Sage series on Quantitative Applications in
Computing R2/Evils of R2
COMPUTING R2. Here are some of the many formulas for R2: Our knowledge of path analysis now
makes it possible to prove many of these formulas. See the optional appendix if you are
interested. NOTE: I use the notation bk for the st
Structural Coefficients in Recursive Models/ Evils of Standardization
RECURSIVE DEFINED. A model is said to be recursive if all the causal linkages run one way,
that is, no two variables are reciprocally related in such a way that each affects and depends
Intro to Path Analysis - Highlights
Sample Model
u
X2
X1
X4
w
X3
v
Structural Equations for the Above Model
X 2 21 X 1 u
X 3 31 X 1 32 X 2 v
X 4 41 X 1 42 X 2 43 X 3 w
Correlations implied by the model (if all variables are in standardized form)
21 21
31
Intro to path analysis
Sources. This discussion draws heavily from Otis Dudley Duncans Introduction to Structural
Equation Models.
Overview. Our theories often lead us to be interested in how a series of variables are interrelated.
It is therefore often d
Interaction effects between continuous variables
This is a very brief overview of this somewhat difficult topic. The course readings provide much
more detail, and you should go over these carefully if you feel these kinds of interaction terms
will be usef
Discussion questions for group comparisons and interaction effects
If time permits we will go over these in class or lab; otherwise just think about them on your own.
1.
The notes present several models for interaction effects.
a.
Suppose your dependent v
Interpreting Interaction Effects; Interaction Effects and Centering
Models with interaction effects can be a little confusing to understand. The handout provides
further discussion of how interaction terms should be interpreted and how centering continuou
Models for Group Comparisons Summary
Since we are estimating and comparing several models, it will be helpful to list several of them
all in one place. This handout summarizes how to do group comparisons both by running
separate models for each group and
Interaction effects and group comparisons
Alternative strategy for testing whether parameters differ across groups: Dummy
variables and interaction terms. We have previously shown how to do a global test of whether
any coefficients differ across groups. T
Group Comparisons:
Using What If Scenarios to Decompose Differences Across Groups
We saw that the effects of education and job experience were smaller for blacks than for whites.
However, we also saw that blacks had lower levels of education and less job
Nonrecursive models
[NOTE: This lecture borrows heavily from Duncans Introduction to Structural Equation Models
and from William D. Berrys Nonrecursive Causal Models.
Advantages and Disadvantages of Recursive Models. We have previously considered
recursiv
Multinomial Logit Models - Overview
This is adapted heavily from Menards Applied Logistic Regression analysis; also, Borooahs
Logit and Probit: Ordered and Multinomial Models; Also, Hamiltons Statistics with Stata,
Updated for Version 7.
When categories a
Brief Overview of Manova
In this and other handouts, well briefly go over some advanced techniques that can be useful
when estimating complicated models. We wont discuss these in detail, but at least youll know
what to look up should you encounter such pr
Summary Report for:
29-1069.10 - Radiologists
Examine and diagnose disorders and diseases using x-rays and radioactive materials.
May treat patients.
Tasks
Obtain patients' histories from electronic records, patient interviews, dictated
reports, or by com
Title of the Lab
Experimenter: (Your Full Name)
Lab Partner(s): (Their Full Name(s)
TA: (Your TAs Full Name)
Course / Section: Your lab section (e.g. PHYS 1210 AA)
Date: The date the experiment was performed
Cover sheet with rubric 1 point
Data and Analys
Physics 224 - Exam #3
April 5, 2010
Name_
Total Problem 1:_/25
Total Problem 2:_/25
Total Problem 3:_/25
Total Problem 4:_/25
Total Problem 5:_/25
Total Problem 6:_/25
Total Points:_/ 125
Percentage Score:_
%
*You will answer ONLY 5 of the 6 problems for
(Note: This study guide is broken up by exam. Vocab terms
are bolded.)
POL_SC
1100 Final
Exam 1
I.
Ch. 1
A. Why do we need government?
1. Without government there would be chaos.
2. In Leviathan, Hobbes makes three arguments:
a. People are self-interested
Q1) The atomic number of an atom is always less than its nucleon
number.
1) True
2) False
Q2) Iron has atomic number 26. Naturally mined iron contains
isotopes of mass numbers 54, 56, 57, and 58. Which of the
following statements is FALSE?
1) Every atom o
Q1) Two speakers, A and B, are separated by a distance of
2.0 m. The speakers emit sound waves of wavelength
0.25 m that are exactly out of phase. What type of
interference will there be at a point 0.5 m to the right of
speaker A?
1) constructive interfer
CHEMISTRY 122
HW CH#12 CARBOHYDRATES
6, 10, 14, 18, 22, 24, 26, 28, 30, 36, 40, 4246, 48, 64, 72.
12-06
A carbohydrate is a polyhydroxyaldehyde or polyhydroxyketone, or a substance
that gives these compounds on hydrolysis.
12-10
D-glucose,
the most abunda
PHOTOELECTRIC EFFECT LAB
Student name
Student Number
Objectives:
The main objective of this lab is to observe the photoelectric effect experiment qualitatively. From
the observations, you will summarize the important relationship between the properties of
Summary Report for:
29-1069.02 - Dermatologists
Tasks
Diagnose and treat pigmented lesions such as common acquired nevi, congenital
nevi, dysplastic nevi, Spitz nevi, blue nevi, and melanoma.
Conduct complete skin examinations.
Counsel patients on topics
Q1) Which of the following quantities are "quantized?"
(1) The potential energy at each rung of a ladder.
(2) The potential energy along the length of a slide.
(3) Wavelength of a standing wave on a string.
(4) The settings on an analog radio dial.
(5) Th
Course Syllabus for Sociology 63993
Graduate Statistics II
Spring 2011
Instructor
Richard Williams
741 Flanner (Office: 574-631-6668, Cell: 574-360-1017)
Office Hours: MW 10:45-11:30 and by appointment
Immediately before & after class is also good.
If you