Statistics homework help
Research Question:
As the Director of Academic Assessment at City University (CU) you are asked to determine if the SAT test is a significant predictor of persistence of first year of college students. The sample consisted of the 100 freshmen students that enrolled in CU as first-time full-time students in the Fall 2019 semester.
Because the SAT scores for incoming class of students as significantly and severely skewed – thus violating the assumption of normality – you dichotomized the students into two SAT groups coded zero and one. Students that scores below the median score of 1000 on the SAT were given a code of 0, and classified as the Low SAT students. Students that scored 1000, or above, on the SAT were given a code of 1, and classified as the High SAT students.
The outcome measure (DV) was year to year persistence. Specifically, whether or not the student re-enrolled as a Full-time student in the Fall 0220 semester. Those students that dropped out of college and didn’t enroll in class during the Fall 2020 semester were assigned a code of 0 on the persistence measure. Students that enrolled full-time in the Fall of 2020, the “persisters”, were assigned a code of 1 on the persistence measure.
Analyze the data to determine if SAT classification (High or Low) is significantly related to persistence
Using the attached SPSS dataset construct a 2×2 contingency table using crosstabs, and then conduct a simple binary logistical regression analysis in which the variable Persist of the Dependent variable, and the variable SAT is the Covariate (predictor) variable
Be sure to present and discuss the significance of the overall analysis (model). Be sure to present and discuss:
As the Director of Academic Assessment at City University (CU) you are asked to determine if the SAT test is a significant predictor of persistence of first year of college students. The sample consisted of the 100 freshmen students that enrolled in CU as first-time full-time students in the Fall 2019 semester.
Because the SAT scores for incoming class of students as significantly and severely skewed – thus violating the assumption of normality – you dichotomized the students into two SAT groups coded zero and one. Students that scores below the median score of 1000 on the SAT were given a code of 0, and classified as the Low SAT students. Students that scored 1000, or above, on the SAT were given a code of 1, and classified as the High SAT students.
The outcome measure (DV) was year to year persistence. Specifically, whether or not the student re-enrolled as a Full-time student in the Fall 0220 semester. Those students that dropped out of college and didn’t enroll in class during the Fall 2020 semester were assigned a code of 0 on the persistence measure. Students that enrolled full-time in the Fall of 2020, the “persisters”, were assigned a code of 1 on the persistence measure.
Analyze the data to determine if SAT classification (High or Low) is significantly related to persistence
Using the attached SPSS dataset construct a 2×2 contingency table using crosstabs, and then conduct a simple binary logistical regression analysis in which the variable Persist of the Dependent variable, and the variable SAT is the Covariate (predictor) variable
Be sure to present and discuss the significance of the overall analysis (model). Be sure to present and discuss:
- Conditional probabilities
- Conditional odds
- Logits
- Odds ratios
- Relative risk
- Slope
- Intercept
- the results for the overall model (Chi-square test and R-square measures)
- The results for Wald’s test.
Also be sure to include the null and alternative hypotheses for the analoysis.
You summary should be 2 to 3 pages. Please use my sample summary as a model-for your summary.
-
Week4SATMandPersistence.sav
-
APASumaryforCancerTreatmentStudyforORs_1_1.docx
Talk to us support@bestqualitywriters.com