26 Jul WHAT IS THE INDEPENDENT VARIABLE?
What is the Independent variable?
b. What is the dependent variable
c. How many tests were run?
d. What was the significance value for instructional planning and was it significant? What does
that mean?
e. What is the effect size (n squared) for instructional strategies? What type of effect was this?
f. Would you accept or reject the null hypothesis? Why?
8. If a researcher wanted to see if there was a difference between initial certification and number of years in their current setting, would they run a t-test or a chi-square? Why?
9. What is the difference between a linear regression and a multiple regression? What is the same?
10. The research problem is “How accurately do the variables gender, ethnicity, and overage status predict the student’s number of days absent?” The results are: The test revealed the following data: correlation between ethnicity and the number of days absent, r(1999) = -.082, p < .05 (computed p =.000); correlation between overage status and the number of days absent, r(1999) = .161, p < .05 (computed p =.000) Regression results indicate an overall model of R = .175, R2 = .031, F (2, 1996) = 31.520, p< .05 ( p = .000).
a. What is the criterion (dependent variable)?
b. If you do not see gender in the results, what does that mean?
c. Which variable is negatively associated with the number of days absent and which is
positively associated with the number of days absent?
d. What does the 1999 stand for?
e. State the overall significance of the prediction model.
f. How good of a predictor is the prediction model? Explain
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