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EDR-8201 Develop a Statistical Analysis Plan

This is the final assignment for the class. I have upload all the requirements to complete the assignment. I need help with the entire assignmment.

Instructions
To complete this Signature Assignment, you will use the
statistical knowledge and scientific writing skills acquired in this
course. You will be initially asked to develop two types of
research questions, or research questions involving relationships
between variables and research questions involving the
difference between variables.
A research question is a clear inquiry asking just one question
and eliciting more than a simple yes or no response. Begin your
research question with how, why, or what rather than does, do,
or can. Once your research questions have been developed, you
will need to create corresponding null and alternative
hypotheses for each research question. Remember, the null
hypothesis indicates a non-significant relationship or difference
will exist while an alternative hypothesis indicates a significant
relationship or difference will exist.
Research questions and hypotheses are divided into two
categories: relationship questions and descriptive questions.
Relationship research questions include comparison (difference
questions) and strength of association (associational):

Difference research questions are used when comparing scores
(on the dependent variable) on two or more groups. These
questions attempt to demonstrate that groups are not the same
on the dependent variable.

Association research questions are used when the researcher
wants to examine the association or relationship between
variables. The approach is commonly used to see how two or
more variables covary (vary together). For example, do higher
values on one variable correspond to higher values on the other?
These questions are also used to how one or more variables can
be used to predict another variable.
Descriptive research questions do not use inferential statistics.
Descriptive questions are used to summarize or describe the
current data. No generalization to a larger population of
individuals.
Please review the schematic diagram below:
Figure 11. Schematic Diagram
For example:
Research Question 1:
Q: What is the relationship between family socioeconomic level
and student state-mandated test performance?
Ho: A non-significant relationship will exist between family
socioeconomic level and student state-mandated test
performance.
Ha: A significant relationship will exist between family
socioeconomic level and student state-mandated test
performance.
Research Question 2:
Q: What is the relationship between family socioeconomic level,
gender, and student state-mandated test performance?
Ho: A non-significant relationship will exist between family
socioeconomic level, gender, and student state-mandated test
performance.
Ha: A significant relationship will exist between family
socioeconomic level, gender, and student state-mandated test
performance.
Research Question 3:
Q: What is the effect of an intensive language immersion
program on spoken English acquisition skills among high school
ESL students?
Ho: An intensive language immersion program will result in a
non-significant effect on spoken English acquisition skills
among high school ESL students.
Ha: An intensive language immersion program will result in a
significant effect on spoken English acquisition skills among
high school ESL students.
Research Question 4:
Q: What is the effect of an intensive language immersion
program on spoken English acquisition skills among high school
ESL students by gender?
Ho: An intensive language immersion program will result in a
non-significant effect on spoken English acquisition skills
among high school ESL students by gender.
Ha: An intensive language immersion program will result in a
significant effect on spoken English acquisition skills among
high school ESL students by gender.
You will then need to explain the type of statistical analysis to
be employed to analyze the relationships and effects between
variables. Keep in mind, a statistical relationship analysis
involving two variables often involves a Pearson r correlation or
a simple regression while a statistical relationship analysis
involving three or more variables often involves multiple
correlations—or what is more widely known as multiple
regression. A statistical analysis testing for effect involving two
variables often involves some form of a t-test; on the other
hand, a statistical analysis of effect involving three or more
variables often involves some form of an ANOVA.
Carefully review the scenario and research questions provided
below for you to develop the statistical analyses plans.
Scenario:
You are the new director of institutional research at a small state
university, and you have been assigned the task of analyzing
information for the dean of the School of Education regarding
the performance of their undergraduate students on the oftencontroversial Graduate Record Exam (GRE). Many educators
believe the GRE is a poor evaluator of undergraduate
performance as well as a poor predictor of graduate school
performance. The dean is considering eliminating the GRE from
graduate school admissions requirements.
The dean has already collected data on four variables: 1) gender,
2) grade point average (GPA), 3) GRE score, and 4) graduate
degree completion frequency. Your job is to develop a proposed
analysis to assist the dean to make an informed decision
regarding the future use of the GRE.
You should also discuss the assumptions of each test. No data
are required to be presented. This is similar to a question that
you will encounter in your Doctoral Comprehensive Exams. You
should provide information that shows your understanding of
the different types of analyses, as well as possible outcomes of
the analyses. In addition, you have to include in your discussion
the possible conclusions based on the possible results: rejecting
the null and not rejecting the null.
Using this information, develop the following foundational
components for a proposed analysis. In your proposal, you will
compose four research questions and an analysis of your results
and recommendations. For each research question, you need to
address:

Corresponding null and alternative hypotheses.

Type of statistical analysis to be employed to determine the
significance.

Assumptions of each test.

Explanations of potential outcomes identifying both nonsignificant and significant relationships as related to both null
and alternative hypotheses—you want to actually calculate
results.

Recommendations based on non-significant and significant
findings.
The four types of research questions are:
1. A relationship research question involving GPA and GRE scores.
2. A relationship research question involving gender, GPA, and GRE
scores.
3. An effect research question involving gender and GRE scores.
4. An effect research question involving gender, GRE score, and
degree completion frequency.
Finally, complete your analysis plan with a written of your
potential results and recommendations for the dean based on
your findings. Remember, there are additional resources
available in the Supplemental Resources under Course Resources
from the course home page.
Length: 4–5 pages, not including references and title page.
References: 5 scholarly sources
Your responses should demonstrate thoughtful consideration of
the ideas and concepts presented in the course and provide new
thoughts and insights relating directly to this topic. Your
response should reflect scholarly writing and current APA
standards. Be sure to adhere to Northcentral University’s
Academic Integrity Policy.

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