TO: Students in CJ 161 - Section 3 - SP03
FROM: R. B. TAYLOR
DATE: 4/23/03
RE: LAST PAPER ASSIGNMENT
NOTE: THIS PAPER IS DUE AT THE BEGINNING OF CLASS NEXT WEEK, 5/1/03. In
class we are going to be having a QUIZ on the t-test, and be doing some lab
work that can get you extra credit so you WANT to be at class on
time!!!!!!!!!!!!!
PURPOSE: The purpose of this lab, and the associated paper, is for you to
engage in hypothesis testing using the chi squared statistical test. I CANNOT
use the data from THIS class but there are too few cases. So, instead, we are
going to use the data from another CJ stat class from SPRING 01 semester.
They look a lot like this class in many respects, although of course I
recognize this group is different too in important ways. But we really
need cases for this exercise to work, to I have used this earlier data file.
CLICK HERE >> cj161_sp01_ee.sav to get data file
THE DEPENDENT VARIABLE (Q 47 on your questionnaire, Q41 on the 2001 questionnaire):
Q.
41
Would you favor or oppose a law which required
private citizens to register handguns they own?
0 . . . NOT in favor
1 . . . IN favor
9 . . . I have NO opinion on this matter
[These are coded as MISSING data - there are 4 such cases.
These should be
left OUT of your crosstab.]
You are going to look at ONE of several PREDICTORS to see if one of these does or does not influence this outcome. Here are the predictors:
Q.
58FAMGN
Does any member of your immediate family
currently own one or more guns of any type (handgun, shotgun, or long
rifle)? THIS IS Q59 ON YOUR SURVEY
0 . . . No
1 . . . Yes
Q1 What is your gender?
0 ... Male
1 ... Female
AFRAM African-American?
0 . . . No
1 . . . Yes
You will carry out a chi squared test, and describe specific steps in your hypothesis testing, and interpret your results given the following scenario (see below) .
THE LAB
Download the 2001 class data file
THE SCENARIO
You are involved in an on-campus group that is
recruiting volunteers to help with a local campaign urging Congress
to mandate registration of all handguns. You are interested in
getting some of your fellow cj majors in 161 to help with the
campaign. You are going to assume that the results obtained in your
class apply generally to CJ majors on main campus. But you do not
want to just approach your fellow majors randomly. You want to
approach those who are more likely to support handgun registration.
You are interested in one of two possible predictors: the gender of
your classmate (Q1GENDER) or whether your classmate reports a family
member having a gun (Q58FAMGN).
[NOTE: IF YOU WISH, you can imagine a REVERSE scenario - you are working for a group trying to DISCOURAGE Congress from passing a law mandating the registration of handguns, and so you are most interested in identifying those who are most strongly OPPOSED to mandatory handgun registration.]
THE PAPER
PARAMETERS
No more than two pages, typed, double spaced, although
references may appear on a third, extra page. SSN only on the top of
each page. No names anywhere.
PAGE 1
1. State the level of measurement
for both variables
2. State the null hypothesis; presume
for the purposes of this paper that these respondents are a
representative random sample of CURRENT CJ majors on main campus. . Remember - your hypothesis always refers back to
the population.
3. State your significance level,
and the corresponding chi square critical statistic. FOR THIS
EXERCISE set your alpha level at p < .20, and use as your chi
squared critical the value: 1.642
4. IF YOU USE Q1GENDER: describe the
portion (or percent) of men supporting mandatory handgun
registration; state the portion (or percent) of women supporting
mandatory handgun registration. IF YOU USE Q58FAMGN: state the
portion (or percent) of those who DO report a gun currently owned by
a family member who support mandatory handgun registration; state the
portion (or percent) of those who do NOT report a gun currently owned
by a family member who support mandatory handgun registration.
CAUTION: you need to be sure your contingency table is set up
properly, and that you have requested column percentages.
5. State the chi squared observed
6. Based on the difference between
the chi squared observed, and the chi square critical, state whether
you reject or fail to reject the null hypothesis.
PAGE 2
This will be in the form of a one page (or less) memo.
Imagine you are writing a memo to the head of the local chapter of
the organization. Describe for him/her the practical implications of
your contingency table analysis for the organization's recruiting
efforts? Whom should they target and why? In backing up your planned
strategy, be sure to link your recommendations to specific results
you have seen and the results of your hypothesis testing. Stated
differently, if you were able to reject your null hypothesis, you are
going to be able to make one kind of recommendation. If you were NOT
able to reject your null hypothesis, you are going to have to make a
different kind of recommendation.
THE GRADING
|
10% |
Correctly state level of measurement for both variables |
|
10% |
Correct statement of null hypothesis |
|
5% |
Correctly state alpha level and chi squared critical (this is a no-brainer - it is in the assignment) |
|
10% |
Correctly describe both of the requested column percentages (from printout) (5% each) |
|
5%% |
Use the correct chi squared observed (from printout) |
|
10% |
Correctly accept or reject the null hypothesis |
|
40% |
Page 2. A = i) come to correct conclusion based on your results; ii) correctly describe if the null hypothesis is accepted or rejected; iii) state in nontechnical terms what the implications of that are and simultaneously correctly translate the conclusion to the appropriate action strategy; A/B = miss one of the above B/C= miss two of the above |
|
10% |
Attach YOUR printout from the lab WITH YOUR SSN WRITTEN ON EACH PAGE OF THE PRINTOUT. By putting your SSN on the lab output you are attesting that you yourself generated the lab output, and that it is not anyone else's; any type of misrepresentation here could raise questions of potential academic misconduct. Be sure to save your disk with your output file on it so you have that for verification in case we need it. |
HOW TO PREPARE. Read K&F Chapter 17 (pp. 100-105); B&P: 292-310