Using the SPSS software, open the High School Longitudinal Study dataset found i

Question

Using the SPSS software, open the High School Longitudinal Study dataset found in this week’s Learning Resources and construct a research question that involves a comparison of a means test.

Use SPSS to answer the research question you constructed and post your response to the following:

What is your research question?

What is the null hypothesis for your question?

What research design would align with this question?

What comparison of means test was used to answer the question (be sure to defend the use of the test using the article you found in your search)?

What dependent variable was used and how is it measured?

What independent variable is used and how is it measured?

If you found significance, what is the strength of the effect?

Identify your research question and explain your results for a lay audience, what is the answer to your research question?

Explanation / Answer

In the question data is selected from High School Longitudinal Study Dataset 2009. The variables selected from this data set is an independent variable and a dependent variable. For involves a comparison of a means test, we apply t or z test for analysis this. The dependent variable selected is N1SCIYRS912 with the label of Years science teacher has taught high school science. The independent variable selected is N1BELIEVE with the label of Science teachers in this school believe all students can do well.

1. Research question is that would the experienced high school science teacher have hope or not that all the students could do well?

2. The null hypothesis is that more experienced high school science teachers would not have hope that all the students could do well.

3. Does high school science teachers taught well.

4. T-test are used for comparison of means to answer the question becuase the standard deviation is unknown.

5, 6 are answered in previous.

Related Questions

Navigate

• Browse (All)
• Browse U
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.