Determine the level of measurement for each of the variables:
Nominal, Ordinal, Interval - Ratio
a)
Number of people in family
b)
Percentage of university students who attend public school
c)
The rating of the overall quality of a textbook from excellent to
poor
d)
Your annual income
e)
The presidential candidate you voted for
f)
Your age
Determine the level of measurement (nominal, ordinal,
interval, ratio) for each of
the variables listed, and briefly state how you were able to
identify the level of measurement being
used. Each level of measurement may be used more than once, or
not at all.
1. Age (in years) of archaeological dig sites
2. Customer’s total order amounts, in U.S. dollars
3. The calendar years of birth for patients visiting a walk-in
clinic
4. Student ID numbers (every student has a...
Propose a life event or situation and two categorical variables
for it. Complete a chi-square analysis of this event or situation
and these variables, and share your results.
Do you agree with your findings? Why or why not?
What other factors, if any, should be considered?
think of a research scenario in which the data would be analyzed
using Chi-Square (two variables measured at a nominal level).
Provide a brief research scenario, much like those found in
assignment problems.
Identify the independent (antecedent) and dependent (criterion)
variables.
Discuss how you would operationally define those variables.
Identify who your participants would be and the steps you would
need to take to ensure that your research adheres to ethical
standards.
Discuss how aspects of your research design and...
Chi-square analysis compares the counts of two categorical
variables to tell you if a relationship exists between the
variables or not. You can apply chi-square analysis to answer
important questions about factors in everyday life, and even about
events like elections... or Halloween. If you are a character in a
slasher film, is there a connection between your gender and your
dying in some horrible manner?
1. Propose a life event or situation and two categorical
variables for it. Complete...
When and how do you use a chi-square distribution to test if two
variables are independent? What is an example of how to use the
contingency table to find expected frequencies?
Chi-square determines if there is support for a relationship
between variables by comparing:
a. a sample mean with a population mean.
b. the mean of two research samples.
c. observed frequencies and expected frequencies.
d. observed frequencies and degrees of freedom.
You have been using the chi-square test of independence to test
for association between two variables.
1) Give an example of a pair of variables for which you would
expect to find no association.
2) Give an example of a pair of variables for which you would
expect to find association, but not a causal relationship.
3) Finally, give an example of a pair of variables for which you
would expect to find a causal relationship.
If the chi-square test is used to test categorical variables,
what are those numbers in the contingency table? What do they
represent? How are they calculated?
Information about an association between two interval-ratio
variables is presented below. The association is between “the hours
of screen time per day” (Y) and “years of schooling” (X). A measure
of the overall association is given as well as the specific
components of the OLS model. The OLS model estimates the effect of
education (X) on the hours of screen time per day (Y).
Association Between x and y Estimate
r -0.229
Rsqrd
OLS Model components Estimate
Constant (a)...