MKTG420-1301B-01 Market Segments | |
Assignment Name: | Unit 3 Individual Project |
Deliverable Length: | 8–10 pages |
Details: |
Building the Research The survey results that you used in the Unit 2 Individual Project came from Zeithaml, Parasuraman, and Berry’s SERVQUAL instrument. You will need to learn more about the survey and how it was constructed, and develop a research study using the survey. Part 1: Research the Survey Provide background on each of the 4 scales (assurance, empathy, reliability, and responsiveness) and explain how they are measurements that aid marketers.Discuss how the questions in the survey are transformed into “scales” (also called “factors”).In other studies using SERVQUAL, how many and what types of respondents were included? Part 1 of the individual project should be 1 page. Be sure to cite your resources. Part 2: Connecting Service Quality and Segmentation Collect information from at least 3 articles. Do not write an overview or critique of the articles.Synthesize the information to develop a solid understanding of how service quality and segmentation are related. Part 2 of the Individual Project should be 2 pages and should mostly be from at least 3 articles in AIU’s full-text databases. Be sure to cite your resources. Part 3: Analyzing the Data Use the small set of data that has been collected from the brand-loyal customers of stores 1 and 2 that you provided in the Unit 3 IP Template ZIP file. Complete the following: Write out a null hypothesis and an alternate hypothesis for each of the 4 aspects of service quality that are included in the analysis (assurance, empathy, reliability, and responsiveness) to see if there is a difference between stores.Run 4 ANOVAs to test the null hypotheses.State the decision for each of the tests.Compare the results from the last unit’s t-tests.You now have 2 types of hypothesis tests. Analyze how your findings support or do not support what you found in the research. It is fine if your results are different than what you expected. Part 3 of the Individual Project will vary in length based on the size of the Excel output. Be sure to cite your resources. Your assignment should contain a cover page, an abstract page, and a reference page in addition to the body. The body of the paper should be 5 pages, starting with a brief 1-paragraph introduction and ending with a short conclusion. The entire submission will be 8–10 pages in length. Click on Student Expectations to view the expectations for this assignment. Please submit your assignment as a Word document in APA format using the attached TEMPLATE. Notice that the grading criteria components match up with the headings provided in the template. Do NOT change the font, page breaks, or margins. Using the template without deleting the headings ensures that you cover each segment of the assignment. For assistance with your assignment, please use your text, Web resources, and all course materials. Unit Materials |
U3 IP.sav
MKTG420_U3IP
Unit 3 Individual Project 1
MACROBUTTON DoFieldClick Type your Name Here
American Intercontinental University
MACROBUTTON DoFieldClick Type your Paper Title
Project Type: MKTG420 Unit 3 Individual Project
MACROBUTTON DoFieldClick Date of Submission
Abstract
This is a single paragraph, no indentation is required. The next page will be an abstract; “a brief, comprehensive summary of the contents of the article; it allows the readers to survey the contents of an article quickly” (Publication Manual, 2010). The length of this abstract should be 35-50 words (2-3 sentences). NOTE: the abstract must be on page 2 and the body of the paper will begin on page 3.
MACROBUTTON DoFieldClick Type your Paper Title
Introduction
Remember to always indent the first line of a paragraph (use the tab key). The introduction should be short (2-3 sentences). The margins, font size, spacing, and font type (italics or plain) are set in APA format. While you may change the names of the headings and subheadings, do not change the font.
Part 1: Research background on the scales
Introduce the concept and be sure to indent the first line of the paragraph. Provide background on each of the 4 scales (assurance, empathy, reliability and responsiveness), not limited to a simple definition but as a measurement that aids marketers. Discuss how the questions in the survey are transformed into “scales” (also called “factors”). In other studies using SERVQUAL, how many and what types of respondents were included?
Part 1 of the Individual Project should be 1 page in length. Be sure to cite your resources.
Part 1: Concept of Scales/Factors
Introduce the concept and be sure to indent the first line of the paragraph.
Part 1: SERVQUAL Samples
Introduce the concept and be sure to indent the first line of the paragraph.
Part 2: (Full-Text Research) Service Quality and Segmentation
Introduce the concept and be sure to indent the first line of the paragraph. Connect information from at least 3 articles. Do not write and overview or critique of the articles. Synthesize and connect the information contained to develop a solid understanding of how service quality and segmentation are related.
Part 2 of the Individual Project should be 2 pages in length and should be predominately from at least three articles in AIU’s full-text databases. Be sure to cite your resources.
Part 3: Null/Hypo 1, ANOVA, Decision
Attached is a small set of data that has been collected from brand loyal customers of Store 1 and Store 2. Write out a Null hypothesis and an alternate hypothesis for each of the 4 aspects of service quality that are include in the analysis (assurance, empathy, reliability and responsiveness) to see if there is a difference between stores. Run 4 ANOVAs to test the Null hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 2, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis for each of the 4 aspects of service quality that are include in the analysis (assurance, empathy, reliability and responsiveness) to see if there is a difference between stores. Run 4 ANOVAs to test the Null hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 3, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis for each of the 4 aspects of service quality that are include in the analysis (assurance, empathy, reliability and responsiveness) to see if there is a difference between stores. Run 4 ANOVAs to test the Null hypotheses. State the decision for each of the tests.
Part 3: Null/Hypo 4, ANOVA, Decision
Write out a Null hypothesis and an alternate hypothesis for each of the 4 aspects of service quality that are include in the analysis (assurance, empathy, reliability and responsiveness) to see if there is a difference between stores. Run 4 ANOVAs to test the Null hypotheses. State the decision for each of the tests.
Part 3: Compare ANOVA & t-test results
Compare the results from last unit’s t-tests.
Part 3: Findings
You now have two types of hypothesis tests. Analyze how your findings support or do not support what you found in the research. It is OK if your results are different than what you expected.
Part 3 of the Individual Project will vary in length based on the size of the SPSS output. Be sure to cite your resources
Conclusion
Add some concluding remarks-can be a sentence or two.
References
NOTE: The reference list starts on a new page after your conclusion.
U3 IP SPSS Help
Rules for Forming Hypotheses
A (alternative) hypothesis is a statement of what you believe based on deductive
reasoning. The null hypothesis, which is the opposite of the hypothesis, is tested in hopes
that it can be REJECTED, thereby implying the other hypothesis can be supported (NOTICE
we do not say true, false or proven).
In journal articles, if only one hypothesis is shown, it is usually the HYPOTHESIS. We are
really interested in the hypothesis, but the rules of statistics dictate that we test the null
hypothesis.
You only test concepts that are measured by your Surveys (the FACTORS**)
A survey is made up of questions. The questions will either measure a demographic (a label
describing a person, thing). Examples would be gender, education, age, tenure, etc.
OR
They are questions that when put together (either averaged or summed) measure an
abstract concept…we call this a scale or factor score (The individual portion of the U4 Group
Assignment).
When writing hypotheses, you do not compare on a single question, but rather a concept or
factor/scale. If you measure a single question in a hypothesis for the project, you will get
the whole question wrong. Each hypothesis must contain a comparison of one of the factors
in your scale. You can compare two different factors or a factor plus a demographic (for
example).
Wording for ANOVAs & T-Tests:
NULL: Males are the same as females with regard to ____________________.
HYPO: Males are not the same as females with regard to ____________________.
Three Possible Statements of Hypotheses
HYPOTHESIS NULL HYPOTHESIS
LOWER TAIL Less than < Greater than or equal to >/=
UPPER TAIL Greater than > Less than or equal to = TWO TAIL Not equal to =/ Equal to = NOTE: although in advanced statistical testing, an equality symbol may be found in either the hypothesis or the null, it is often easier to have the equality sign in the NULL HYPOTHESIS. You may set it up either way, but the preferred manner (at this stage) is stated in the table above. WORDING FOR DECISION RULE…. These are not tests, but words to describe the Reject/Do Not Reject Status p-VALUE approach Given that the sig. (xx) is greater than the alpha (.xx), the NULL cannot be rejected therefore there is no support for the HYPO that (paste HYPO here) OR Given that the sig. (xx) is less than the alpha (.xx), the NULL is rejected therefore there is support for the HYPO that (paste HYPO here) Let us NOW look for the wording of the decision rule A TOTALLY DIFFERENT SURVEY IS BEING USED…. Given that the sig. xx is less than the alpha of .05, the NULL hypothesis is rejected and therefore there is support for the HYPO that (insert HYPO) Given that the sig. xx is greater than the alpha of .05, the NULL hypothesis is not rejected and therefore there is no support for the HYPO that (insert HYPO) Don’t get fancy and start using words like the HYPO is accepted or is true…just stay with these simple phrases…and remember-there are no absolutes in this HYPO testing game…that is why we use the concept of SUPPORT for a hypothesis. NULL: Males have the same level of Overall Job Satisfaction compared to Females. (M = F) Males have a different level of Overall Job Satisfaction compared to Females. (M =/ F) Looking at the mean Job Satisfaction scores for both genders shows that they are nearly equal, though the standard deviation for females is much larger, showing that the scores are less consistent for females. Given that the sig. .688 is greater than the alpha of .05, the NULL hypothesis is not rejected and therefore there is no support for the HYPO that Males have a different level of Overall Job Satisfaction compared to Females. (M =/ F). Group Statistics 24 2.7361 .18768 .03831 83 2.7925 .67559 .07416 Gender Male Female Overall Job Satisfaction N Mean Std. Deviat ion Std. Error Mean Independent Samples Test 37.249 .000 -.403 105 .688 -.0564 .13986 -.33371 .22092 -.676 105.0 .501 -.0564 .08347 -.22189 .10911 Equal variances assumed Equal variances not assumed Overall Job Satisfaction F Sig. Levene's Test for Equal ity of Variances t df Sig. (2-tail ed) Mean Differen ce Std. Error Differ ence Lower Upper 95% Confidence Interval of the Difference t-test for Equality of Means We can also run an ANOVA to test this: Given that the sig. .688 is greater than the alpha of .05, the NULL hypothesis is not rejected and therefore there is no support for the HYPO that Males have a different level of Overall Job Satisfaction compared to Females. (M =/ F). ANOVA Overall Job Satisfaction .059 1 .059 .163 .688 38.237 105 .364 38.296 106 Between Groups Within Groups Total Sum of Squares df Mean Square F Sig.