Understanding Reliability and Validity - Due by midnight - please help! Data Set

Question

Understanding Reliability and Validity - Due by midnight - please help!

Data Set 1: The purpose of Data set 1 is to determine if the two tests (run in the spring and the fall) were reliable indicators of vocational preferences of students (what they may want to do for a living).

Pearson Correlation

Sig. (2-tailed)

N

1

-

28

.138

.483

28

Pearson Correlation

Sig. (2-tailed)

N

.138

.483

28

1

-

28

Data Set 2:

Pearson Correlation

Sig. (2-tailed)

N

1

-

100

-.125

.217

100

-.028

.783

100

Pearson Correlation

Sig. (2-tailed)

N

-.125

.217

100

1

-

100

-.090

.372

100

Pearson Correlation

Sig. (2-tailed)

N

-.028

.783

100

-.090

.372

100

1

-

100

Questions to answer about data sets:

1. What was the Pearson r for these two tests?

2. Would you consider these 2 tests reliable indicators of vocational preference? (Support your answer)

3. Data Set 2 is a measure of two forms of the same test. The purpose: A state agency needs at least two forms of the same test to be administered on the same day. The data in Data set 2 are the results of these two forms. Using SPSS and running the Correlation function, determine if these two tests are reliable (consistent) in their assessments. Provide the Pearson r from the SPSS findings and explain whether these two tests are reliable assessments.

Fall_Results Spring_Results Fall_Results

Pearson Correlation

Sig. (2-tailed)

N

1

-

28

.138

.483

28

Spring_Results

Pearson Correlation

Sig. (2-tailed)

N

.138

.483

28

1

-

28

Explanation / Answer

Pearson r for spring and the fall) =r=0.138

there exists a week positive relationship between spring and fall.

pearson r for form1 and form 2 is r=-0.090

there exists a week negative relationship between form1 and form2

Solution2:

No these 2 tests reliable indicators of vocational preference.

since p=0.483

p>0.05

Fail to reject null hypothesis

accept null hypothesis.

there exist no relatiosnhip between spring and fall

For form1 and form2

p=0.372

p>0.05

Fail to rejct null hypothesis

there exist no relatiosnhip between form1 and form2.

From these two tests we can conclude that these are not reliable indicators of vocational preferences of student.

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