Essay RES 866 Module 4 Problem Set And Discussions

RES 866 Module 4 Problem Set And Discussions
RES 866 Module 4 Problem Set
Details:
Some commonly employed statistical tests are the independent-samples t-test, paired-samples t-test, and One-Way ANOVA. In this assignment, you will practice conducting independent-samples t-tests, paired-samples t-tests, and One-Way ANOVAs from an SPSS data set.General Requirements: Use the following information to ensure successful completion of the assignment:
- Review “SPSS Access Instructions” for information on how to access SPSS for this assignment.
- Access the document, “Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide” to complete the assignment.
- Download the file “Census.sav” and open it with SPSS. Use the data to complete the assignment.
- Download the file “SPSS_CUST.sav” and open it with SPSS. Use the data to complete the assignment.
Directions:
- Locate the data set “Census.sav” and open it with SPSS. Follow the steps in section 7.14 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output.Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.
- Locate the data set “SPSS_CUST.sav” and open it with SPSS. Follow the steps in section 8.10 Learning Activity as written. Answer all of the questions in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.
- Locate the data set “Census.sav” and open it with SPSS. Follow the steps in section 9.20 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.
RES 866 Module 4 Discussions
RES 866 Module 4 DQ 1
Suppose that you have collected data throughout a semester from a large elementary school regarding the number of days per week each math teacher spends in a collaborative teaching community. The average ranges from 0 to 7 days per week. You have also obtained the pre-test and post-test scores in math administered in those same classrooms in the beginning and end of the semester, and you have calculated a score that shows learning during the semester by subtracting the pre-test score from the post-test score for each student.
You are interested in examining any potential differences in student learning (i.e., post-test minus pre-test) that may be due to the number of days of teacher participation in a collaborative community. What are the independent and dependent variables? How can you best handle the data so that you can perform group comparisons to examine the potential effect of the IV on the DV? Why is this technique the best for handling the data?
RES 866 Module 4 DQ 2
Suppose that you have collected data throughout a semester from a large elementary school regarding the number of days per week each math teacher spends in a collaborative teaching community. The average ranges from 0 to 7 days per week. You have also obtained the pre-test and post-test scores in math administered in those same classrooms in the beginning and end of the semester, and you have calculated a score that shows learning during the semester by subtracting the pre-test score from the post-test score for each student.
You are interested in examining any potential differences in student learning (i.e., post-test minus pre-test) that may be due to the number of days of teacher participation in a collaborative community. Is group comparison the best approach to analyze the available data? Why or why not?
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