Asked by pankaj
Dated: 18th May'17 09:02 PM
Bounty offered: $32.00

SPSS Week 4

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 4Worksheet 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 ina 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:

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

Question 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.

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.

Question 2:

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 samplesrepeated-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-samplesrepeated-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:

Using self-esteem as the measured variable:

Question A:

Determine if the two main assumptions underlying repeated-measures t-tests are met. Support your response with SPSS output

as needed:

Question B:

Provide the null and alternative hypotheses.

Question C):

What are the mean and standard deviation for beginning self-esteem (Score One) and end self-esteem (Score Two)?

Question D:

What is the value of Cohen’s d? Is it small, medium, or large?

Question E:

Interpret the mean, standard deviation, standard error, and confidence interval in the paired-samples t-test output box.

Question F:

What is the percentage of variance explained? Interpret this value. Report the results in APA format.

two-sample t(df) =t-value, p =p-value Is this the formula.what does it mean???

Question G:

What might be concluded from these results? In these conclusions, discuss possible limitations of the study and provide recommendations for future research

Question 2:

Based on your personal experiences and interests, briefly discuss a potential variable to be compared using a dependent samples repeated-measures t-test..

Answered by pankaj
Expert Rating: 363 Ratings
Dated: 18th May'17 09:02 PM
5 words and 1 attachment(s).
Tutorial Rating: Not Rated
Sold 1 times.
(preview of the tutorial; some sections have been intentionally blurred)


EDR8201-4.docx (100.49 KB)
Preview of EDR8201-4.docx
the     10%   in the     participants       study,   the other     lead       I   showing a     in       the   leading to     the       it   true Visual     GraphsBox       graphs   in SPSS     self-esteem       gender   Box Plot,     seems       data   not quite     There       outliers,   with the     and       to   skewed away     in       male   is skewed     left       distribution   skewed to     The       genders   to be     from       of   male sample     the       with   score of     and       is   the left     approximately       mark   difference in     the       to   score (Females     than       is   difference in     between       A:   Plot Score     and       in   B display     skewedness,       be   apparent in     scores       a   in the     between       68   the two     the       look   a mirror     each       to   a normal     the       the   and the     the       Histogram   One: Males     Q-Q       plot   to visually     the       distributed   shown on     the       follow   45 diagonal     a       C:   Q-Q Plot     -Esteem       Normal   Plot of     FemalesTesting       AssumptionsThere   three main     must       insure   findings in     are       of   are not     type       need   be used     the       do   would likely     false       which   really was     data       (Stone,   Independence of     study       unrelated   groups In     the       female,   share the     and       that   participants did     their       other   filling out     Therefore,       independence   metHomogeneity of     Levine’s       of   as shown     B,       variance   the two     equal       With   significant value     at       significance   of the     (p       greater   the significance     Therefore,       variance   met and     between       is   (The Levene’s     equality       shown   table B     used       the   of the     are       test   for this     F=0       critical   of 0     the       less   the significant     there       to   that the     significant       Hence,   assumption of     is       Levene’s   for Equality     Equal       varianceis   assumedLevene's Test     of       for   of Meanst-2     258Sig       Difference-3   662Std Error     78695%       the   251-7 287Upper-     of       of   the dependent     be