# Analyze Independent and Dependent Samples t-Tests

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## For this assignment you will do the following:

This week, you will complete two exercises related to both independent and dependent t-tests.

For Part One, you are supposed to be looking at self esteem and productivity - not gender (male/female). You need to run the tests on Score One and Prod One.

For Part Two, you are looking at the scores at the beginning of the year vs. the end of the year (Score one and Score Two)

Attached is the Week 4 Worksheet

Part 1: Independent Samples t-Test:

Imagine a researcher is interested in the relationships among teachers’ self-esteem and productivity. A randomly selected sample of 40 teachers completed a questionnaire including a number of demographic questions as well as measures to assess their self-esteem and productivity. In the EDR-8201 Week 4 Worksheet you will find a table. This table provides the demographic data and participants’ responses for the self-esteem measure (100-point scale) and the productivity measure (50-point scale). Use these data to answer the questions below (these data have already been entered in a SPSS file; see the note below the data table).

Download the SPSS data set: “teachersurvey.sav.” Not all of the variables in that SPSS file will be used for this assignment.

In this SPSS assignment, use the tools learned in this course thus far to complete the following:

1. There are three main assumptions needing to be satisfied before using the independent-samples t-test for testing differences between the genders. Use SPSS to generate the output needed to test the assumptions. Please discuss each one and explain whether each has been met using SPSS output as needed to include the Shapiro-Wilk test for normality (used when the sample size is less than 50), histograms, and the Levene’s test. Keep in mind if the population value is unknown, it is permissible to infer from sample values. Regardless of sample size, test whether these assumptions are met.
2. Please produce an SPSS output for an independent-samples t-test comparing male and female scores on self-esteem.
1. What are the null and alternative hypotheses?
2. Report the results in APA format.
3. What might be concluded from this hypothetical study (males vs. female self-esteem test)? In the conclusions, please consider possible limitations of the study as well as recommendations for future research.

Part 2: Dependent Samples t-Test:

For Part 2, you will now increase your understanding of inferential statistics involving a dependent samples repeated-measures t-test. Imagine a researcher is interested in whether teachers’ self-esteem differs at the beginning and at the end of the school year. Use the data file “teachersurvey.sav” to conduct a dependent-samples repeated-measures t-test (referred to as a paired-samples t-test in SPSS). In this data set, self-esteem was measured at the beginning of the school year (Score One) and at the end of the school year (Score Two) (i.e., repeated-measures with the same group). These are the variables to be used in this analysis.

Complete the following:

1. Using self-esteem as the measured variable:
1. Determine if the two main assumptions underlying repeated-measures t-tests are met. Support your response with SPSS output as needed.
2. Provide the null and alternative hypotheses.
3. What are the mean and standard deviation for beginning self-esteem (ScoreOne) and end self-esteem (ScoreTwo) using APA style?
4. What is the value of Cohen’s d? Is it small, medium, or large?
5. Interpret the mean, standard deviation, standard error, and confidence interval in the paired-samples t-test output box.
6. What is the percentage of variance explained? Interpret this value. Report the results in APA format.
7. What might be concluded from these results? In these conclusions, discuss possible limitations of the study and provide recommendations for future research.
1. Based on your personal experiences and interests, briefly discuss a potential variable to be compared using a dependent samples repeated-measures t-test.

pallveechem123
School: University of Virginia

kindly see the solutions of part 1 and part 2 and discuss with me if any doubt.

Part 1: Independent Samples t-Test:
The three main assumptions are, as follows:
(a) Assumption of independence: Each observation for the samples must be
independent from other, that is, scores of one participant are no way systematically
related to scores of the other participant.

(b) Assumption of normality: The dependent variable (male or female) must follow a
normal distribution in the population.

(c) Assumption of homogeneity of variance: The variances must be equal for the
populations from which the samples were chosen. In regard to the case in point,
dependent variable (male or female) has a normal distribution, with the same variance,
σ2, in each group.

TESTING THE ASSUMPTION OF INDEPENDENCE: Primary requirement for using
the independent-samples t...

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Anonymous
Thanks, good work

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