Create a 5- to 10-slide Microsoft® PowerPoint® presentation outlining the steps using the scientific method as a process model for answering research questions. Include the following:
- Describe the steps in the process.
- How can this process be used in other areas like (chose two areas listed or any of your own):
- Business
- Marketing
- Human Resources
- Advertising
Include speaker notes.
Format reference citations consistent with APA guidelines.
Also read:
- Question: Q: Chapter Chapter 11 of Mertler and Vannata; answer exercises on pages 306 and 307: This exercise utilizes the SPSS data setprofile-e.sav, which can be downloaded from this Web site: www.Pvrczak.com/data Conduct a Forward: LR logistic regression analysis with the following variables: IV—age, educ, hrsl, sibs, rincom91, life2 (categorical) DV—satjob2 Note: The variable Iife2 is categorical such that dull = 1, routine/exciting = 2, and all other values are system missing. Develop a research question for the following scenario. Conduct a preliminary Linear Regression to identify outliers and evaluate multicollinearity among the five continuous variables . Complete the following: a. Using the Chi-Square table in Appendix B, identify the critical value atp< .001 for identifying outliers. Use Explore to determine if there are outliers. Which cases should be eliminated? b. Is multicollinearity a problem among the five continuous variables? Conduct Binary Logistic Regression using the Forward: LR method. IV—age, educ, hrsl, sibs, rincom91, life2 (categorical; last is the reference category) DV—satjob2 Note: Make sure that any outliers identified in Exercise 2a are removed from data before running the logistic regression. Also, designating life2 as a categorical covariate with the last category as the reference, essentially makes "routine/exciting" = 0 and "dull" = 1, so interpret the results accordingly. a. Which variables were entered into the model? b. To what degree does the model fit the data? Explain. c. Is the generated model significantly different from the constant-only model? d. How accurate is the model in predicting job satisfaction? e. What are the odds ratios for the model variables? Explain. Module 14 – Multi-level linear analyses: When do you use multi-level linear analyzes? Chapter 8 of Cronk (chapter below I wasn’t sure what was being asked) and answer all practice exercises; post your results here:
- Scientific Method and Steps in Scientific Inquiry Paper
- This assignment challenges your ability to identify, capture, sequence, and align process activities in a way that enables clear communication of the process and visibility to all activities, including those that are unseen by the customer. Following the example for an Automotive Service Operation process in Exhibit 7.3 in the text, create a service blueprint that depicts an overnight stay in a nationally-recognized hotel chain. Your blueprint should capture the process, which begins with a client’s call to the reservationist and ends with checkout and departure the following day. In addition to your service blueprint, prepare a brief description of two procedures that prevent or block mistakes in the hospitality service process. These process applications are commonly referred to as ‘poka-yokes’ – roughly translated from Japanese into English as ‘error or mistake-proofing’. Exhibit 7.3 in the text includes at least one ‘poka-yoke’ process for each of the four stages noted in the service blueprint that might serve as examples. Length: Your Service Blueprint should span 1-2 pages and may be built using any program of your choosing. It must be accompanied by a one-page description of your mistake-proofing process enhancements indicated above, including in-text citations. Include a brief introduction that broadly describes the contents of your assignment.
- Outlining a Research Process
- Scientific Thinking and Scientific Skepticism
- Scientific Thinking and Scientific Skepticism
- Scientific Thinking and Scientific Skepticism
- Reform Choose a quantitative method (e.g., the decision tree model). Describe the model you are using. Outline at least 4 proposed solution