Summary
Summary MVDA SPSS Cheatsheet
- Course
- Institution
Weekly SPSS assignments and answers. Steps to take for the MVDA SPSS Exam.
[Show more]
Seller
Followbeyzaacar
Content preview
SPSS CHEATSHEET, WEEK 1 – MRA
EXERCISE 1.1
Reminder: Y (dependent variable) is regressed on X (predictor/independent variable)!
Perform a Linear Regression of Y on X
Always check for outlier before by sorting “Descending” COO_1 should be <1
COO_1 Cook’s D
Use the file MVDA_MRA_1.sav. In a study with middle-class children (11-13
years old), educational psychologists investigated whether academic
performance (GPA) (Y/dependent variable) can be predicted IQ(X1),
age(X2), gender(X3) and/or self-concept(X4).
Calculate the Pearson correlations between the five variables. Analyze
Correlate Bivariate Put all variables into “Variables”. Look at
“Correlations” table.
a) What is the sample size N? Look at “Correlations” table “N”
b) Does it make sense to perform a linear regression of GPA on IQ, age,
gender and/or self-concept? Look at “Correlations” table “Pearson
Correlation”
c) Which variable is likely to be a good predictor of GPA? Look at
“Correlations” table “Sig (2-tailed)” should be < .001
Next, perform a linear regression of GPA (Y/dependent) on IQ(X1),
age(X2), gender(X3) and self-concept(X4). In Statistics, ask for part and
partial correlations, and collinearity diagnostics. In Save ask for Cook’s
distances and Leverage values. Analyze Regression Linear Put Y
variable to “Dependent” and X variables to “Independent”.
d) Can the null hypothesis of no relationship between GPA and IQ, age,
gender and/or self-concept be rejected? Look at the “ANOVA” table
write F (df1, df2) and p value < .001.
e) How much variance of GPA is explained by IQ, age, gender and SC
together? “Model Summary” R2 = variance of predictors combined
f) What predictor explains the most unique variance? Look at
“Coefficients” table “Correlations” “Part” CORRELATION (R)!
THEREFORE, SQUARE IT ( R2 ¿ ! THEN IT BECOMES THE VARIANCE. WRITE
THE NAME, AND ALSO THE PART CORRELATION
FOR EX: CONFID1, part: .418
g) Is there evidence of multicollinearity (dependency between the
predictors) in the predictors? Look at “Coefficients” Collinearity
Statistics VIF < 10 and Tolerance > 0.1
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller beyzaacar. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $9.65. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
67474 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy study notes for 14 years now