Chi-Square
To conduct a Chi-Square test, there MUST be a minimum of _________ in each category.
5 cases for the expected frequency
You are interested in examining if the relationship between exercise and depression can be strengthen by sleep pattern. You gather data from 36 patients and analyze if depressive symptoms score can be predicted by those two behaviors as well as by the interaction of those two behaviors.
What is your outcome variable?
Depressive Symptoms score
Please name the four common data transformations.
Sorting/Filtering Cases
Dummy Coding
Reversing Scoring
Computing a new variable
Standard multiple regression allows you to find ___________________________ for the predicted outcome.
Name the TYPE of Chi-Square Test that compares observed cases (N) to expected cases (N)
One Variable Chi-Square Test
What does the italicized portion of the hierarchical regression equation below represent:
Y^ = a (constant) + bX1 +bX2 + bX1X2 + e
Regression coefficient for the interaction term
This function allows you to exclude cases from your analysis without deleting them from the active dataset. What type of data transformation is this?
Filtering/Sorting Cases
Please list the assumptions of a standard multiple regression.
•Linear relationships
•Homoscedasticity
•Independence of Error Terms
•Normality of error terms
The (1)_________________ statistic tells you whether it is a significant difference, while the (2)__________________ table allows you to see the proportions for each level of X at various levels of Y.
(1) Pearson Chi-Square
(2) Crosstabs
You are interested in examining if the relationship between exercise and depression can be strengthen by sleep pattern. You gather data from 36 patients and analyze if depressive symptoms score can be predicted by those two behaviors as well as by the interaction of those two behaviors.
What are your predictor variables? Which one would be considered the moderator?
Predictors: Sleep Pattern & Exercise
Moderator: Sleep Pattern
This function allows you convert categorical and scale variables into a simpler numeric form for regression.
What type of data transformation is this?
Please provide a scheme for the data transformation on the following variable: "Annual Income" ranges from $20k - $100k
Dummy Coding
Example Scheme (can be any split):
0 = $20k - $49k
1 = $50k - $100k
Please describe a scenario in which a researcher interested in predicting anxiety would run a standard multiple regression. Identify the number of predictors you should have AND the name the most appropriate predictors you can think of for anxiety.
Needs to list at least two concepts/variables like:
Stress Level & Diet
Please use your group's white board to write out the symbolic notation for results using the following values:
Your two variables are X and Y.
X2 = 12.47
df = 3
N = 1003
p= 0.03
HINT: X2(...
χ2 (3, N = 1003) = 12.47, p=.03.
In a hierarchical regression equation, what is the name of the value that represents the predicted outcome value when all other variables are "0"?
CONSTANT
You are presented with two statements relating to the current state of a dataset and the expected. Please name the data transformation you would conduct to meet the expected.
Sorting/Filtering Cases
Please write the regression equation for a standard multiple regression that includes a set of three (3) predictors.
Y^= A + β1 X1 + β2 X2 + β3 X3
Name ANY five (5) variables that would be appropriate in conducting a Chi-Square test.
Any categorical variable, such as:
Gender, Ethnicity, SES, Marital Status, Education level, Left-handed vs. right-handed, Neurotypical vs. ADHD...
You are being shown a Model Summary and Coefficients Table from SPSS.
Using the table, please fill in the appropriate values and terms below:
The first predictor: _______________ was NOT significantly associated with How Far you think you will go in school as the outcome (b= ___, t=___, p= __).
The second predictor: _____________ was NOT significantly associated with How Far you think you will go in school as the outcome (b= __, t= __, p=___).
The results showed that the interaction term (b=__, t= ___ p= __) was also NOT significant in predicting How Far you think you will go in school as the outcome.
The first predictor: Enjoy caring for children was NOT significantly associated with How Far you think you will go in school as the outcome (b= -.146, t= -1.645, p= .100).
The second predictor: Mother fulfilling was NOT significantly associated with How Far you think you will go in school as the outcome (b= -.062, t= -.498, p= .619).
The results showed that the interaction term (b= .039, t= 1.253 p=.210) was also NOT significant in predicting How Far you think you will go in school as the outcome.
You are presented with two statements relating to the current state of a dataset and the expected. Please name the data transformation you would conduct to meet the expected.
Computing a new variable
You are being shown a Model Summary and Coefficients Table from SPSS.
Using the table, please fill in the appropriate values and terms below:
A multiple regression was run to predict [insert dependent variable] from [insert predictor IV1], [insert predictor IV2], and [insert predictor IV3].
All variables significantly/did not significantly predict [insert dependent variable], F(#, #) = ##.##, p = #.##, R2 = .##.
A multiple regression was run to predict [Self Esteem] from [Household Income], [Close to Mom], and [Close to Dad].
All variables significantly predict [Self Esteem], F(3, 613) = 10.804, p < .001, R2 = .050.