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Posted: June 17th, 2022

Informaion Technology essay

BUS 711 Weekend SyllabusWU_Logo_Color_College of Business.jpg
WU_Logo_Color_College of Business.jpg

DOCTORATE PROGRAM

BUS 711

Research Methods 2

Weekend

Syllabus

Table of Contents

Course Description 3

Course Learning Outcomes (CLOs) Linked to Program Outcomes 4

CLA Linking Table 5

Detailed Course Outline 6

Course Description
COURSE NAME

Research Methods 1

CODE

RES 711

UNITS

4.5

LENGTH OF CLASS

16 weeks

LECTURE & DISCUSSION

(Days/Times)

First on-campus class

Friday Saturday

7:00 p.m. – 9:30 p.m.

9:00 a.m. – 5:00 p.m.

Second on-campus class

Friday Saturday

7:00 p.m. – 9:30 p.m.

9:00 a.m. – 5:00 p.m.

Third on-campus class

Friday Saturday

7:00 p.m. – 9:30 p.m.

9:00 a.m. – 5:00 p.m.

Fourth on-campus class

Friday Saturday

7:00 p.m. – 9:30 p.m.

9:00 a.m. – 5:00 p.m.

COURSE DESCRIPTION

This course investigates methods of quantitative and qualitative research, including data collection and analysis, and provides a framework based on which researchers can design their research methodology. Different qualitative orientations including, phenomenological, ethnographic, grounded theory, and case study are covered. Data collection methods including interviews, focus groups, participant observation, historical research, survey interviews and instruments are also discussed. In addition, the course covers qualitative data coding and analysis. In quantitative methods, topics include fundamentals of statistical research as they relate to developing doctoral dissertations, including concepts of probability, probability distributions, evaluative statistical research on a population and comparative research incorporating two populations. Additional topics include analysis of variance (ANOVA) and simple linear regression. The course will also provide an introduction to the SPSS software and NVivo software.
REQUIRED TEXT

Zikmund, W. G., Babin, B. J., Carr, J. C., Griffin, M. (2013). Business research methods (9th ed.). Cengage Learning

ISBN-13: 978-1-111-82694-9

Jackson, K., & Bazeley, P. (2019). Qualitative data analysis with NVivo (3rd ed.). Sage Publishing

ISBN 978-1-5264-4993-1

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th. ed.). Sage Publishing.

ISBN 9781526440273

Blair, E. (2015). A reflexive exploration of two qualitative data coding techniques. Journal of Methods and Measurement in the Social Sciences, 6(1), 14-29.

METHOD OF INSTRUCTION

The course is conducted in a hybrid modality. Students interact with each other and with the faculty in a classroom setting and in an online learning system. Learning will be facilitated through lecture-discussions, presentations, cooperative learning, and case studies.

SCOPE

Student outcomes are measured through professional individual assignments, discussion postings, comprehensive learning assessments, and class participation.

Course Learning Outcomes (CLOs) Linked to Program Outcomes
Learning outcomes are statements that describe significant and essential learning that learners have achieved, and can reliably demonstrate at the end of the course. Learning outcomes identify what the learner will know and be able to do by the end of a course – the essential and enduring knowledge, abilities (skills) and attitudes (values, dispositions) that constitute the integrated learning needed by a graduate of this course. The learning outcomes for this course summarize what you can expect to learn, and how this course is tied directly to the educational outcomes of your doctoral degree.

Course Learning Objectives (CLOs)

RES Program Objectives

(K) Knowledge

(S) Skill

(A) Attitude

1. Distinguish between basic research and applied research, understand hypothesis and how theories are developed, compare research methodology and differentiate among the types of reasoning in research design

1, 4, 5, 7, 8

K, S, A

2. Explain significance of research questions and their relationship to other components of design. Compare and contrast the basic attributes of qualitative and quantitative methods, Explain the difference between descriptive and inferential statistics.

1, 4, 5, 7, 8

K, S, A

3. Perform a basic assessment of reliability and validity. Compare conceptual and practical differences between the quantitative and qualitative aspects of reliability and validity. Compare and contrast different types of instruments and the different methods of data collection and measurement, including observational methods.

4, 5, 7, 8

K, S, A

4. Evaluate differences between independent, dependent, mediator, moderator, and confounding variables and assess the limitations of experimental and non-experimental research designs, the components of causality, deﬁning attributes of single-subject, longitudinal, pre-experimental, quasi-experimental, and true experimental designs, perform descriptive statistics analysis including measures of central tendency, variation, and symmetry.

1, 4, 5, 7, 8

K, S

5. Develop an understanding of basic probability concepts and their applications in solving business problems, define the concept of random variables, both in discrete and continuous domains, understand the common representations of random variables and the common indicators of their characteristics

1, 2, 5, 6, 8, 10

K, S

6. Verify the Central Limit Theorem and its application for confidence interval estimation, describe the fundamental terminology in formulating a hypothesis and the underlying tenets in testing a hypothesis, understand the common methodologies in testing hypothesis on the parameter of a population, and in testing hypothesis on the variation of a parameter across two populations

1, 2, 6, 8

K, S

7. Explain the analysis of variance methodology in testing hypotheses on variations of the mean across several populations, understand the post-hoc methodology in ranking populations according to the values of the mean

1, 2, 6, 8, 9,10

K, S

8. Perform correlation and simple linear regression analysis, determine the test of hypotheses procedure for simple regression, define the dependent and independent variables in a simple regression, interpret the R-square, understand the linear regression methodology in examining causality

1, 2, 6, 8, 9, 10

K, S

CLA Linking Table
Comprehensive Learning Assessments (CLAs), Professional Assessments (PAs) and Assignment help – Discussion Questions (DQs) directly measure Course Learning Outcomes and indirectly measure Doctoral Program Outcomes. The following table shows how all those are linked together.

Comprehensive Learning Assessments (CLAs)

Course Learning Outcomes (CLOs)

Doctoral Program Outcomes

CLA1 (Week 9)

1, 2, 3, 4, 5

1, 2, 4, 5, 6, 7, 8, 10

CLA 2 (Week 16)

5, 6, 7, 8

1, 2, 3, 5, 6, 8, 9, 10

PA Linking Table
Professional Assessments (PAs)

Course Learning Outcomes (CLOs)

Doctoral Program Outcomes

PA1 (Week 5)

1, 4, 5, 7, 8

PA 2 (Week 13)

3, 4, 5, 6, 7

1, 2, 4, 5, 6, 7, 8, 10

DQ Linking Table
Assignment help – Discussion Questions (DQs)

Course Learning Outcomes (CLOs)

Doctoral Program Outcomes

DQ1 (Week 1)

1, 4, 5, 7, 8

DQ2 (Week 3)

1, 2, 4

1, 4, 5, 7, 8

DQ3 (Week 5)

1, 3, 4, 5, 6

1, 2, 4, 5, 6, 7, 8, 10

DQ4 (Week 7)

5, 6, 7

1, 2, 5, 6, 8, 9, 10

DQ6 (Week 11)

5, 6

1, 2, 5, 6, 8, 10

DQ7 (Week 13)

5, 6, 7

1, 2, 5, 6, 8, 9, 10

Weekly Activities Linking Table
Weekly Activities (WAs)

Course Learning Outcomes (CLOs)

Doctoral Program Outcomes

WA1 (Week 2)

1, 2

1, 4, 5, 7, 8

DQ2 (Week 4)

1, 2

1, 4, 5, 7, 8

DQ3 (Week 6)

1, 2, 3, 4

1, 2, 4, 5, 7, 8

DQ4 (Week 8)

1, 3, 4, 5, 6

1, 2, 5, 6, 8, 9, 10

DQ5 (Week 10)

4, 5, 6

1, 2, 4, 5, 6, 7, 8, 10

DQ6 (Week 12)

5, 6

1, 2, 5, 6, 8, 10

DQ7 (Week 14)

5, 6, 7

1, 2, 5, 6, 8, 9, 10

DQ8 (Week 16)

1, 3, 5, 6

1, 2, 4,5, 6, 7, 8, 10

Detailed Course Outline
The following outline provides important assignment details for this course, week-by-week. You are responsible for all of the assignments given. Please refer to the Detailed Description of Each Grading Criteriain the University Policies for specific information about each assignment.

1. Week 1
Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.).

· Chapter 3: Theory Building

· Chapter 4: The Business Research Process

· Chapter 5: The Human Side of Business Research: Organizational and Ethical Issues

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

Each week, students must post one (1) answer and one (1) peer response for every discussion question. Please see Grading Criteria for Assignment help – Discussion Board Participation in the University Policies for Assignment help – Discussion Question and Response expectations.

Assignment help – Discussion Question 1 – CLO 1

On January 30, 2018, three major US corporations, Amazon, Berkshire Hathaway, and JPMorgan Chase announced their partnership to create solutions to address the healthcare needs of their US employees. Based on decision making situations outlined in chapter four of Zikmund et al. textbook where potential situations are categorized based on the degree of certainty or ambiguity and perception of problem vs opportunity, how would you categorize this decision? Based on your analysis, discuss how you would evaluate the classification that is presented in your textbook? Limit your response to 120 words.

Assignment help – Discussion Question 2 – CLO 1

Suppose you are trying to collect data for a research project by conducting an online survey. Based on the discussions presented in chapter five of Zikmund et al. textbook, what information will you provide to your targeted audience in order to address some of the ethical issues in data collection. Limit your response to 120 words.

Assignment help – Discussion Question 3 – Applied Concepts (AC) – Week/Course Learning Outcomes

Using your textbook, LIRN-based research, and the Internet, apply the learning outcomes for the week/course and lecture concepts to one of the following scenarios:

As applied to your current professional career

As applied to enhancing, improving, or advancing your current professional career

As applied to a management, leadership, or any decision-making position

As applied to a current or future entrepreneurial endeavor

Using your textbook, LIRN-based research, and the Internet, apply the learning outcomes for the week/course and lecture concepts to a business organization that exhibits and demonstrates these concepts. You should develop a summary of the organization’s strategy and how they use these concepts to compete.

This is a learning and application exercise designed to give you an opportunity to apply concepts learned in a pragmatic and meaningful way that will enable you to gain valuable and relevant knowledge in an effort to augment your skill set and enhance your professional careers.

2. Week 2
Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.).

· Chapter 3: Theory Building

· Chapter 4: The Business Research Process

· Chapter 5: The Human Side of Business Research: Organizational and Ethical Issues

· Activity 1: Article Review due by Sunday at 11:59 p.m.

Activity 1: Article Review – CLO 1, CLO 2

Review the article titled, “From Risk-Seeking to Risk-Averse: The Development of Economic Risk Preference from Childhood to Adulthood” by (Paulsen et.al., 2012). Based on what was discussed in chapter three of Zikmund et al. textbook and the theories discussed in the article, what would be your proposition if you were given an opportunity to present your case in favor of conducting research on this matter. Based on your proposition, create a hypothesis that could be used in your research. Finally, how would you restructure the employee benefits package if your hypothesis was confirmed.

3. Week 3
Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 6: Problem Definition: The Foundation of Business Research

· Chapter 7: Qualitative Research Tools

· Reading: Jackson & Bazeley (3rd ed.)

· Chapter 1: Where to begin

· Chapter 2: Designing an NVivo Project

· Chapter 3: Coding Foundations

· Video Files

· Please to watch the video click here: UQL NVivo 12 Introduction

· Please to watch the video click here: NVivo 12 and Thematic / Content Analysis

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

Assignment help – Discussion Question 1 – CLO 2

Use the problem-definition process outlined in chapter six of Zikmund et al. textbook and begin the relevant research questions for a specific research problem Remember, problem statements can be a long process and you will probably need to refine and/or redefine it several times. For now, you will need to focus on steps one and two:

1. Understand the situation, identify symptoms, and

2. Identify key problem(s) from symptoms. Explain the business situation and define the symptoms.

What problems can you identify based on the symptoms? Limit your response to 150 words.

4. Week 4
Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 6: Problem Definition: The Foundation of Business Research

· Chapter 7: Qualitative Research Tools

· Reading: Jackson & Bazeley (3rd ed.)

· Chapter 1: Where to begin

· Chapter 2: Designing an NVivo Project

· Chapter 3: Coding Foundations

· Video Files

· Please to watch the video click here: UQL NVivo 12 Introduction

· Please to watch the video click here: NVivo 12 and Thematic / Content Analysis

· Activity 2: NVivo Practice due by Sunday at 11:59 p.m.

Activity 2: NVivo Practice-CLO1, CLO 2

After reviewing Chapter 1-3 of your NVivo text and watching the NVivo video files posted above, explain the following capabilities of NVivo software:

· Assignment help – Discuss the meaning of the term “Node” used in the NVivo software.

· How is a Node used in the coding process?

· What are the parallels to coding in grounded theory?

· Assignment help – Discuss the meaning of the term “Case Node” used in the NVivo software.

· How is a Case Node used in a qualitative analysis?

· What is the grounded theory equivalent of Case Node?

· Assignment help – Discuss the function of the casebook used in the NVivo software.

· How is the casebook useful in a qualitative study?

5. Week 5
Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 7: Qualitative Research Tools

· Chapter 9: Survey Research: An Overview

· Chapter 12: Experimental Research

· Chapter 13: Measurement and Scaling Concepts

· Reading: Jackson & Bazeley (3rd ed.)

· Chapter 4: Advanced Coding

· Chapter 6: Surveys and Mixed Methods

· Video Files

· Please to watch the video click here: UQL NVivo 12 Introduction

· Please to watch the video click here: NVivo 12 and Thematic / Content Analysis

· Reading: Blair, E. (2015). A reflexive exploration of two qualitative data coding techniques. Journal of Methods and Measurement in the Social Sciences, 6(1), pp. 14-29

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

· Professional Assignment1 due by Sunday at 11:59 p.m.

DQ (P) – Assignment help – Discussion Question 1 – (PDQ directed at upcoming PA) Graduate Level

Prior to reading this DQ, please read the PA1 assignment and understand what the assignment is asking you to complete. Once you have an understanding of the PA1 assignment, please continue to the paragraph below to complete DQ1.

Using the Library Information Resource Network (LIRN), JSTOR, or any other electronic journal database, research eight (8) peer-reviewed articles that can be used to answer your upcoming PA1 assignment. Your discussion should summarize the articles in such a way that it can justify any arguments you may present in your PA1 assignment and should be different from the abstract. In addition to your researched peer-reviewed article, you must include an example of the article researched as it is applied by industry (company, business entity, and so forth).

Please note: This article summary should not be the only article researched for your PA1 assignment. You may (and should) have several other articles researched to fully answer your PA1 assignment. The concept of this DQ is to allow students to be proactive in the research necessary to complete this assignment. You may use your article summary, partially or in its entirety in your PA1 assignment.

Important: Please ensure that your reference for the article is in correct Help write my thesis – APA format, as your reference in your discussion post. Depending on which electronic database you use, you should see a “Cite” selection for your article. In addition, there should be a variety of articles summarized and as such, students should have different articles summarized. Your summary MUST include ALL of the following in your DQ post (include every item in the bullet list below, or you will not receive full credit):

Do these in order:

· In correct Help write my thesis – APA format, write the Reference of the article.

· Clearly state what the article is about and its purpose.

· Describe how you will use it in your upcoming assignment.

· Repeat for a total of eight (8) peer-reviewed sources.

Assignment help – Discussion Question 2 – CLO 1, CLO 2, CLO 3, CLO 4

You need to team up with another student to complete the Week 3 DQ1 and CLA1 assignments. Assume that you are hired as a researcher to provide consultation to the University in helping the institution to better support the students.

Based on interviews with school administrators, you have concluded that the University is interested in improving student retention and graduation rates. You have also formed the operational theory that student retention is influenced by general and academic adjustment, including financial and living conditions of the students.

Your team is tasked with conducting a qualitative study, either through one-on-one interviews (at least three students) or a focus group (at least five students).

In preparation for your study, each member will answer only three of the following questions in their initial posts:

· Is your research Confirmatory or Exploratory in nature? Provide explanation.

· What is the orientation of your research and why?

· Why did you choose a focus group/ direct interview for this study?

· How did you address some of the main disadvantages of your approach?

· What are some of the questions that you are planning to ask during the meeting (focus group or interview)?

· How will you collect and analyze data?

· Will you consider projective research techniques? Provide justification.

Professional Assignment 1 – CLO 2

Following the passage of the Tax Cuts Act by the US Congress in late 2017, several large corporations announced the offering of employee bonuses and other incentives to their employees as a good faith gesture of passing on parts of the tax gains to employees. In early 2018, United Airlines offered a lottery system of employee rewards and incentives instead of the more traditional employee bonus package.

However, United’s plan quickly backfired and resulted in public humiliation for its top executives. Based on the information discussed in chapter one of Zikmund et al. textbook:

· How would you categorize the business orientation of United Airlines?

· If you were the top executive at United Airline, would you have authorized a study to identify the proper employee incentive structure prior to making an announcement.

· If you were tasked with conducting research to recommend United Airlines on its bonus policy, how would you define the problem?

· After reviewing Chapter six, list a few (at least two) questions that your research will attempt to answer.

Please make sure to include in-text citations and peer reviewed references in Help write my thesis – APA format

*Please refer to the Grading Criteria for Professional Assignments in the University Policies for specific guidelines and expectations.

6. Week 6
Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 7: Qualitative Research Tools

· Chapter 9: Survey Research: An Overview

· Chapter 12: Experimental Research

· Chapter 13: Measurement and Scaling Concepts

· Reading: Jackson & Bazeley (3rd ed.)

· Chapter 4: Advanced Coding

· Chapter 6: Surveys and Mixed Methods

· Video Files

· Please to watch the video click here: UQL NVivo 12 Introduction

· Please to watch the video click here: NVivo 12 and Thematic / Content Analysis

· Reading: Blair, E. (2015). A reflexive exploration of two qualitative data coding techniques. Journal of Methods and Measurement in the Social Sciences, 6(1), pp. 14-29

· Activity 3: NVivo Practice due by Sunday at 11:59 p.m.

· Activity 4: NVivo Practice due by Sunday at 11:59 p.m.

Activity 3: NVivo Practice – CLO1, CLO 2, CLO 3, CLO 4

Please import the article “From Risk-Seeking to Risk-Averse: The Development of Economic Risk Preference from Childhood to Adulthood” by (Paulsen, et.al, 2012), into NVivo 12 and save it as your project. Now conduct the following activities in NVivo:

· Conduct a Frequency Query

· Create a Mind Map with five (5) of the most frequent words

· Create nodes for each of the words you selected before

· For each of your selected words conduct a Text Search

· Review the results of your text search and write a minimum of 500 words about the themes that you identified in the article.

Activity 4: NVivo Practice – CLO1, CLO 2, CLO 3, CLO 4

This is a team assignment as outlined in Week 3 DQ1. For this assignment you are tasked with reporting the results of your study in the form of a written paper. Before presenting the results and your conclusion, use your answers to Week 3 DQ1 to explain the purpose, methodology, and the design of your qualitative study, explain your data coding procedures and extraction of results.

· Show coding of the data in transcription of the interviews in an Appendix.

· Extract issues regarding students based on the coding of the data

In the paper, you must also explain your approach in addressing some of the ethical issues in data collection through interviews.

7. Week 7
Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 16: Sampling Design and Field Work

· Chapter 17: Determination of Sample Size: A Review of Statistical Theory

· Chapter 20: Basic Data Analysis: Descriptive Statistics

· Reading: Field (5th ed.)

· Chapter 4: The IBM SPSS Statistics

· Chapter 5: Exploring Data with Graphs

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

Assignment help – Discussion Question 1 – CLO 5

Using your textbook, LIRN-based research, and the Internet, apply the learning outcomes for the week/course and lecture concepts to the following question.

Define each of the following terms and provide an example for each, population, sample, measures of central tendency, measures of dispersion, sampling distribution, central limit theorem, confidence interval estimate, and major issues in determining sample size.

Please be sure to include in-text citations and peer reviewed references in Help write my thesis – APA format in your discussion post.

Assignment help – Discussion Question 2 – CLO 5, CLO 6

Using your textbook, LIRN-based research, and the Internet, apply the learning outcomes for the week/course and lecture concepts to the following question.

· Please define each of the following terms: sampled population, random sampling, convenient sampling, judgmental sampling, stratified random sampling, consistency in sampling, relative efficiency. Explain why a sample is of probabilistic nature.

· What is a point estimate and an unbiased point estimate? Explain how the sample mean can be an unbiased estimate of the population mean. How do you justify that the sample variance is an unbiased estimate of the population variance? What is the sampling requirement in the latter case? Provide a numerical example of estimating the mean, the variance, and the standard deviation.

· Please define each of the following terms, discuss applicability and significance of each: sample statistic, standard error, sampling distribution, and central limit theorem. Include hypothetical examples for better clarity.

· What is the z statistic and what qualifies a statistic to be z statistic based on the central limit theorem and the basic properties of normal distributions? What are the limitations of the central limit theorem, and how some of these limitations are bypassed? For example, the z statistic as the sampling distribution in estimating a proportion.

· What is the sampling distribution in estimating the variance of a population? What are the properties of this distribution?

· What is the alternative of the z statistic for normally distributed populations which eliminates some limitations of the central limit theorem? How is this sampling distribution constructed as a combination of a z distribution and a chi squared distribution? What are the properties of this distribution?

(To provide numerical examples to answer questions mentioned above, for example, in the third item above, you can use the Excel function RAND to generate a sample of a uniform random variable, and the combination of RAND and NORM.INV to generate a sample of a normal random variable).

Please make sure to include in-text citations and peer reviewed references in Help write my thesis – APA format in your discussion post.

Assignment help – Discussion Question 3 – CLO 5, CLO 6

Using your textbook, LIRN-based research, and the Internet, apply the learning outcomes for the week/course and lecture concepts to the following question:

· What are the major issues in determining the sample size?

· What are five descriptive statistics used to describe the basic properties of variables?

· What is a histogram? What is the advantage of overlaying a normal distribution over a histogram?

· Interpret the frequency distribution from a survey results posted on page 501 of Zikmund et al. textbook (Chapter 20)

Please be sure to include in-text citations and peer reviewed references in Help write my thesis – APA format in your

8. Week 8
Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 16: Sampling Design and Field Work

· Chapter 17: Determination of Sample Size: A Review of Statistical Theory

· Chapter 20: Basic Data Analysis: Descriptive Statistics

· Reading: Field (5th ed.)

· Chapter 4: The IBM SPSS Statistics

· Chapter 5: Exploring Data with Graphs

· Activity 5: Problems from the Text due by Sunday at 11:59 p.m.

· Activity 6: Problems from the Text due by Sunday at 11:59 p.m.

Activity 5: Problems from the Text: CLO 4, CLO 5, CLO 6

Provide complete solutions to exercises 10, 12, 13, 17, and 18 on page 439 of Zikmund et al. text (Chapter 17).

Activity 6: SPSS Practice – CLO 1, CLO 3, CLO 4

Upload the Excel data file Career in SPSS and save it in SPSS data format for future use. The data is located in GAP in the DataFile folder under the Supplementary Course Material section. Complete the following tasks and copy your results in a word document and submit your report.

Complete the following tasks and copy your results in a word document and submit your report.

1) Create frequency table for the variable Age

2) Use the Recode into Same Variables command to assign ascending numerical values to Age.

3) Create value labels corresponding to numerical values, change the Type of the variable to Numeric and change the Measure to Ordinal. Rerun the frequencies command

4) Create standardized values for the variable Family Income. Report key descriptive statistics for this variable. Make sure your report table includes measures of Kurtosis and Skewness.

5) Create a histogram for the variable Family Income. Based on your visual inspection and measures of Kurtosis and Skewness, what is your conclusion regarding the shape of the distribution?

Create a cross tabulation of Education vs Income. Interpret the result

9. Week 9

Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 17: Determination of Sample Size: A Review of Statistical Theory

· Chapter 20: Basic Data Analysis: Descriptive Statistics

· Reading: Field (5th ed.)

· Chapter 4: The IBM SPSS Statistics

· Chapter 5: Exploring Data with Graphs

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

· CLA 1 due by Sunday at 11:59 p.m.

DQ (C) – Assignment help – Discussion Question 1 – (PDC directed at upcoming CLA) Graduate Level

Prior to reading this DQ, please read the CLA1 assignment and understand what the assignment is asking you to complete. Once you have an understanding of the CLA1 assignment, please continue to the paragraph below to complete DQ1.

Using the Library Information Resource Network (LIRN), JSTOR, or any other electronic journal database, research eight (8) peer-reviewed articles that can be used to answer your upcoming CLA1 assignment. Your discussion should summarize the articles in such a way that it can justify any arguments you may present in your CLA1 assignment and should be different from the abstract. In addition to your researched peer-reviewed article, you must include an example of the article researched as it is applied by industry (company, business entity, and so forth).

Please note: This article summary should not be the only article researched for your CLA1 assignment. You may (and should) have several other articles researched to fully answer your CLA1 assignment. The concept of this DQ is to allow students to be proactive in the research necessary to complete this assignment. You may use your article summary, partially or in its entirety in your CLA1 assignment.

Do these in order:

· In correct Help write my thesis – APA format, write the Reference of the article.

· Clearly state what the article is about and its purpose.

· Describe how you will use it in your upcoming assignment.

· Repeat for a total of eight (8) peer-reviewed sources.

CLA 1 Comprehensive learning Assessment I – CLO 1, CLO 2, CLO 3, CLO 4, CLO 5

Please be sure to include in-text citations and peer reviewed references in Help write my thesis – APA format in your discussion post.

1. Please provide an explanation of the confidence interval and confidence level.

2. Determine in what situations you can use the z statistic to construct a confidence interval for the mean of a population.

3. Verify what test statistic is used for constructing a confidence interval on the population’s proportion.

4. Describe why and when t statistic is used in constructing a confidence interval for the mean of a population.

5. Read the case study “Pointsec Mobile Technology” on page 439 of Zikmund et al. textbook (Chapter 17) and provide detailed answers to the questions asked.

Please make sure to provide numerical examples for questions 1-4 and include in-text citations and peer reviewed references in Help write my thesis – APA format.

*Please refer to the Grading Criteria for Comprehensive Learning Assessments (CLAs) on page 18 of the University Policies for specific guidelines and expectations.

10. Week 10

Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 17: Determination of Sample Size: A Review of Statistical Theory

· Chapter 20: Basic Data Analysis: Descriptive Statistics

· Reading: Field (5th ed.).)

· Chapter 4: The IBM SPSS Statistics

· Chapter 5: Exploring Data with Graphs

· Activity 7: Problems from the Text due by Sunday at 11:59 p.m.

· Activity 8: SPSS Practice due by Sunday at 11:59 p.m.

Activity 7 Problems from the Text – CLO 4

Please provide answers to the following problems from your Zikmund et al. textbook (Chapter 20, pp. 502-503)

· Problems 4, 5, 6, 7, 8, and 9

Activity 8: SPSS – CLO 5, CLO 6

A car manufacturer is introducing a new model and they claim that the average fuel consumption for this model is 35 miles or more per gallon on the open road. The competitors believe this estimate is too high. You are employed by a testing agency to run a statistical test and verify the car manufacturer’s claim. You conduct a highway mileage test on 80 cars and save the results in an Excel file. Upload the Excel file CarEfficiency and save it in SPSS data format for future use. The data is located on GAP in the DataFile folder under the Supplementary Course Material section. Complete the following tasks and copy your results in a word document and submit your report.

a. Examine if the sample data follows a normal distribution using the Explore feature under the Descriptive Statistics in SPSS.

b. Construct a confidence interval for the data at 99% confidence level

c. Conduct a test of hypothesis at 1% significance level to verify if the car manufacturer claim is justified. State the Null and Alternative hypotheses in the proper conventional form

11. Week 11

Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 14: Attitude Measurement

· Chapter 15: Questionnaire Design

· Chapter 21: Univariate Statistical Design

· Chapter 22 (pp.528-542): Bivariate Statistical Analysis: Differences Between Two Variables

· Reading: Field (5th ed.)

· Chapter 5: Exploring Data with Graphs

· Chapter 6: The Beast of Bias

· Chapter 10: Comparing Two Means

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

Assignment help – Discussion Question 1 – CLO 5, CLO 6

Using your textbook, LIRN-based research, and your study notes, answer the following questions that deal with confidence interval construction and explain the content in detail, including calculations. Important: Please be sure to include in-text citations and peer reviewed references in Help write my thesis – APA format in your discussion post.

· Please define each of the following terms and provide hypothetical example for each: hypothesis testing, null and alternative hypothesis, non-directional and directional hypothesis, type I error in testing hypothesis, type II error in testing hypothesis, probability of type I error (ɑ), probability of type II error (ß), power of the test and its significance, the critical value(s) in a test, p value (significance level).

· What is the difference between testing hypothesis on a population and testing hypothesis when comparing two populations? Provide hypothetical examples.

· What are the possible outcomes in testing a hypothesis? What are the determinant factors in deciding the critical value(s) in testing a hypothesis?

· When the z statistic is appropriate to be used in testing a hypothesis? When the t statistic is appropriate to be used in testing a hypothesis? For each case, include the underlying assumptions, and the test statistic, for both testing a hypothesis on the mean of population, and testing hypothesis in comparing the value of the mean in a population with the value of the mean in another population. What is the criterion for rejecting the null hypothesis for both non-directional and directional tests? How do you find the p value in each case? Do not forget to discuss cases that involve proportion(s).

· When the chi squared statistic is used in testing hypotheses? Include underlying assumptions and the test statistic for testing hypotheses on a single population. What is the criterion for rejecting the null hypothesis for both non-directional and directional tests? How do you find the p value in each case?

Assignment help – Discussion Question 2 – CLA2 Preparation & Course Learning Outcomes

Welcome to Week 11 of your course. This discussion question will help you prepare for your CLA2 paper and final CLA2 PowerPoint. Read the CLA2 assignment listed in Week 16 of the course. Then, please provide an outline that itemizes the concepts that you will include in your CLA2 paper and final PowerPoint. Please be sure to include concepts learned in the course and any information from your CLA1 paper if applicable. Provide some brief details for each item that is outlined.

12. Week 12

Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 14: Attitude Measurement

· Chapter 15: Questionnaire Design

· Chapter 21: Univariate Statistical Design

· Chapter 22 (pp.528-542): Bivariate Statistical Analysis: Differences Between Two Variables

· Reading: Field (5th ed.)

· Chapter 5: Exploring Data with Graphs

· Chapter 6: The Beast of Bias

· Chapter 10: Comparing Two Means

· Activity 9: Problems from the Text by Sunday at 11:59 p.m.

Activity 9: Problems from the Text: CLO 5, CLO 6

Please provide complete solutions to the following questions from the Zikmund et al. textbook. Please note you must show each step of your work towards final answers

· Chapter 21 (p. 536): Problems 7, 8, 13, 14, and 15

· Chapter 22 (pp. 548-549): Problems 2, 3, 6, 8, and 9

13. Week 13

Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 22 (pp. 542-548): Bivariate Statistical Analysis: Differences Between Two Variables

· Chapter 23: Bivariate Statistical Analysis: Measures of Association

· Reading: Field (5th ed.)

· Chapter 8: Correlation

· Chapter 9: The linear Model (Regression)

· Chapter 12: Comparing Several Independent Means

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

· Professional Assignment 2 due by Sunday at 11:59 p.m.

Each week, students must post one (1) answer and one (1) peer response for every discussion question.. Please see Grading Criteria for Assignment help – Discussion Board Participation in the University Policies for Assignment help – Discussion Question and Response expectations.

DQ (P) – Assignment help – Discussion Question 1 – (PDQ directed at upcoming PA) Graduate Level

Prior to reading this DQ, please read the PA2 assignment and understand what the assignment is asking you to complete. Once you have an understanding of the PA2 assignment, please continue to the paragraph below to complete DQ1.

Using the Library Information Resource Network (LIRN), JSTOR, or any other electronic journal database, research eight (8) peer-reviewed articles that can be used to answer your upcoming PA 2 assignment. Your discussion should summarize the articles in such a way that it can justify any arguments you may present in your PA2 assignment and should be different from the abstract. In addition to your researched peer-reviewed article, you must include an example of the article researched as it is applied by industry (company, business entity, and so forth).

Please note: This article summary should not be the only article researched for your PA2 assignment. You may (and should) have several other articles researched to fully answer your PA2 assignment. The concept of this DQ is to allow students to be proactive in the research necessary to complete this assignment. You may use your article summary, partially or in its entirety in your PA2 assignment.

Do these in order:

· In correct Help write my thesis – APA format, write the Reference of the article.

· Clearly state what the article is about and its purpose.

· Describe how you will use it in your upcoming assignment.

· Repeat for a total of eight (8) peer-reviewed sources.

Assignment help – Discussion Question 2 – CLO 5, CLO 6, CLO 7

Please provide detailed explanations for the following and support your responses with some numerical examples:

· What is the F probability distribution, in what way does it differ from a t probability distribution?

· In an ANOVA what is between group difference and what is within group difference?

· What is covariance and how does it differ from correlation?

· What is correlation coefficient, what are the range of its possible values, and why?

· How do you determine if a correlation coefficient is statistically significant?

· In a simple regression what is coefficient of determination and how is it interpreted?

Professional Assignment 2: PA 2 – Part I – CLO 3, CLO 4, CLO 5

Please Note this PA has two parts

Build Your Own Questionnaire! In your Week 3 Assignment help – Discussion 1, you explored and identified factors that influence adjustment issues and their impact on academic performance of university students. In this assignment, your task is to create a survey instrument (consisting of no less than 20 items) to assess various dimensions of student adjustment in the US. Before creating your survey questionnaire, Review Chapters 14 and 15 of Zikmund et al. textbook and use the Library and Information Resources Network of Westcliff University (LIRN) to find resources (including dissertations and theses) that address a similar topic. For example, (Stoklosa, 2015, ProQuest Document ID: 1700219836) examines personal and environmental characteristics of student adjustment.

After conducting your research:

· Construct your own survey instrument. Note that you are not allowed to use existing survey instruments (completely or even partially) for this assignment. Existing instruments are mostly copyrighted materials and should not be used without proper permission from the author.

After creating the instrument

· Homework help – Write a paper of minimum three (3) pages, Help write my thesis – APA formatted, and provide a background on the process of creating the instrument, explain different dimensions and subscales of the instrument, discuss reliability and validity issues, and the explain scoring process (including reverse coding if needed). Present the instrument as an attachment to your document.

PA2 – Part II – CLO 4, CLO 5, CLO 6, CLO 7

Use the Excel file titled, General-Electric that is posted on GAP in the DataFile folder under the Supplementary Course Material section and upload it into SPSS. Complete the following tasks and copy your results in a word document and submit your report.

and upload it to SPSS. This file contains GE’s daily stock market data covering the period of 12/13/2010 to 12/11/2018. The file contains a total of 2013 daily transaction records including date, opening price of the GE stock for the day, highest price, lowest price, closing price, closing price adjusted for dividends, and the number of stocks traded (volume)

1. Use the explore command in SPSS and explain whether the trading volume of the stock is normally distributed. Make sure to discuss, Skewness, kurtosis, results from the test of normality as well as the Q-Q plots.

2. Select a random Sample of exactly 125 observations. Then run the descriptive command and calculate the mean and standard deviation of the sample. Repeat this process (i.e., selection of a random sample and descriptive command) exactly 75 times. Hint: Use SPSS syntax to repeat the command. List both values (mean and the standard deviation) in a new excel file with proper column headings.

3. Upload the newly created excel file into SPSS and create a histogram of both the calculated means and standard deviations.

4. Run the explore command similar to what you did in step 1 for both variables and make your observations. Does the Central Limit Theorem (CLT) apply to both measurements?

5. Suppose you believe that the true average daily trade volume for General Electric stock is 49,829,719 shares. Based on a recent sample you have also calculated a standard deviation of 21,059,637 shares. Considering a 95% confidence level, what is the minimum required sample size if you like your sampling error to be limited to 10,000,000 shares. What sample size would offer a sampling error of not more than 20,000,000 shares?

6. Given the information in item (5) above conduct a one-population test of hypothesis for the mean and determine if the null hypothesis should be rejected or not rejected.

7. Compare your findings in items (5) and (6) above and argue if you can make a generalization.

8. Is there a statistically significant difference between the average trading volume in 2017 and 2018? Hint: While technically, this can be carried out as a paired sample t-test since volume data are reported for the same stock, we will treat this as independent samples. Complete your calculations by hand assuming M2017=46108055, S2017=34099055, n2017=251, M2018= 87241844, S2018=50977722, n2018=238.

9. Repeat the test, this time by using SPSS. Hint: Create a new grouping variable for 2017 and 2018 and use it to run your test.

Please be sure to include in-text citations and peer reviewed references in 7th edition Help write my thesis – APA format in your discussion post.

*Please refer to the Grading Criteria for Professional Assignments in the University Policies for specific guidelines and expectations.

14. Week 14

Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 22 (pp. 542-548): Bivariate Statistical Analysis: Differences Between Two Variables

· Chapter 23: Bivariate Statistical Analysis: Measures of Association

· Reading: Field (5th ed.)

· Chapter 8: Correlation

· Chapter 9: The linear Model (Regression)

· Chapter 12: Comparing Several Independent Means

· Activity 10: Problems from the Text due by Sunday at 11:59pm

· Activity 11: Problems from the Text due by Sunday at 11:59pm

· CLA 2 Presentation due in last on-campus class

CLA2 Comprehensive Learning Assessment (CLA 2) Presentation

In addition to your CLA2 report, please prepare a professional PowerPoint presentation summarizing your findings for CLA2. The presentation will consist of your major findings, analysis, and recommendations in a concise presentation of 18 slides (minimum). You should use content from your CLA2 report as material for your PowerPoint presentation. In addition, you should include learning outcomes from all your major assignments. This would include PA1, CLA1, PA2, and of course, CLA2 (unless otherwise specified by your Professor). An agenda, executive summary, and references slides should also be included. Please keep in mind that the university is moving towards a more digital footprint for our students. This means that your final CLA2 presentation may be recorded, so that you may include it in your “e-portfolio” (graduating students should have all of their CLA2 presentations on a flash-drive, in addition to student biography, resume, interests, and so forth). Students will present their PowerPoint during the last week of class in either the On-Campus Class Session or the online Virtual Class Session, as determined by the professor. Presentations should not exceed 18 minutes.

*Please refer to the Grading Criteria for CLA2 Presentations on pages 18-19 of the University Policies for specific guidelines and expectations.

Activity 10: SPSS Practice: CLO 5, CLO 6, CLO 7

Submit your response in a MS Word document after inserting the results from SPSS into your document.

Enter the following data into SPSS. The data shows final grades earned by 48 students in statistics classes taught by a professor in 3 different modalities; on-ground, hybrid, and online. Students were randomly assigned. The goal of the study was to find whether there are meaningful differences in student grades across different modalities. After entering the data in SPSS, answer the following questions

Modality

On-ground

Hybrid

Online

1. Identify the independent (factors) and dependent variables.

2. Clearly state your research questions followed by their corresponding null and alternative hypotheses.

3. Test all assumptions for ANOVA and report the results. Do you need to make any data transformations?

4. Perform a one-way ANOVA in SPSS.

5. Report your results and state your conclusion regarding the hypotheses.

6. If applicable, conduct a post-Hoc test to determine which group means (if any) differ significantly from one another.

7. Plot the results using an appropriate graph, putting the modality on the horizontal axis.

8. Restate your findings as you would report in your dissertation (in Help write my thesis – APA format).

Activity 11: CLO 5, CLO 6, CLO 7

Please review the Problems from the Textbook below and provide the solutions by SPSS and manually, demonstrate your work in detail:

· Chapter 22 (pp. 548-549) : Problems 10 and 11

· Chapter 23: (pp. 557-558): Problems 4, 5, 7, and 9

15. Week 15

Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Chapter 22 (pp. 542-548): Bivariate Statistical Analysis: Differences Between Two Variables

· Chapter 23: Bivariate Statistical Analysis: Measures of Association

· Reading: Field (5th ed.)

· Chapter 8: Correlation

· Chapter 9: The linear Model (Regression)

· Chapter 12: Comparing Several Independent Means

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

Assignment help – Discussion Question 1 – Summary & Critical Thinking – Week/Course Learning Outcomes

Welcome to Week 15 of your course. In this discussion question you have the opportunity to be creative and to relate what you have learned to your professional lives. Please explore and critically think about some of the learning objectives and concepts presented in this course. Please effectively communicate how you would lead an organization (or a group of people within the organization) by applying the knowledge you have learned ethically and responsibly. Your discussion should also include innovative thinking, and information-technology aspects (such as the Internet, social-media, computers, and so forth) that may assist you in decision-making. You may frame your discussion around any functional component of business, and in any context; problem-solving, management, leadership, organizational behavior, and so forth.

16. Week 16

Assignments to complete this week:

· Reading: Zikmund et al. (9th ed.)

· Review all chapters covered that will assist in the completion of the CLA 2 assignment

· Reading: Field (5th ed.)

· Review all chapters covered that will assist in the completion of the CLA 2 assignment

· Post DQ Answers by Thursday at 11:59 p.m.

· Post DQ Peer Responses by Sunday at 11:59 p.m.

· CLA 2* Presentation due in class during the last class meeting.

· CLA 2 due by Sunday at 11:59 p.m.

· Activity 12 due by Sunday at 11:59 p.m.

* During the last class meeting means: it can be anytime in the weekend of week 13, 14, 15 or 16 depending on the schedule of the class meeting

Assignment help – Discussion Question 1 – Summary & Critical Thinking – Week/Course Learning Outcomes

Welcome to the last week of your course. In this discussion question you have the opportunity to be creative and to relate what you have learned to your professional lives. Please explore and critically think about some of the learning outcomes and concepts presented in this course. Please effectively communicate how you would lead an organization (or a group of people within the organization) by applying the knowledge you have learned ethically and responsibly. Your discussion should also include innovative thinking, and information-technology aspects (such as the Internet, social-media, computers, and so forth) that may assist you in decision-making. You may frame your discussion around any functional component of business, and in any context; problem-solving, management, leadership, organizational behavior, and so forth.

CLA 2 – Comprehensive Learning Assessment 2 – CLO 5, CLO 7, CLO 8

Part I

Capital asset pricing model (CAPM) is a widely accepted, though controversial, theory of asset pricing in the capital market. According to CAPM, the expected return of any asset in the capital market is a linear function of the expected return on the whole market and the expected return of the risk free rate. Mathematically the model is stated as per Equation 1

E(Re) = E(RFR) + β *E(Rm – RFR ) (1)

Where, E(Re) is the expected rate of return on a specific asset, E(RFR) is expected risk free rate, β is sensitivity of the stock return with respect to the overall market return, E(Rm – RFR ) is the expected capital market risk premium.

Empirical verification of CAPM is done through running a regression model of historical returns of stocks against historical returns of the overall market.

In this part of your CAL 2 assignment you will be doing the following:

a. Select the stock of a publicly traded company with at least 20 years of price history and download the stock’s last 20 years price history from yahoo finance or other sources.

b. Select a broad stock market index, such as S&P 500 Index, Russell 3000 Index, etc. and download its last 20 years of price history.

c. Use the adjusted closing prices of the stock and the index and calculate the annual rate of return of each.

d. Consider the stock’s annual return as the dependent variable and the index’s annual return as the independent variable and run the following regression model:

a. Re = α + β*Rm + ε (2)

e. Where, Re is the realized annual rate of return of your stock, Rm is the realized annual rate of return on the overall capital market, and is ε the error term.

f. After estimating the regression coefficients of Equation (2) through the OLS method, conduct a test of hypothesis and determine if the estimates of α and β are statistically significant at 5% level and report their t statistics and p values.

g. Determine if the F value for the correlation coefficient is statistically significant at 5% level

h. What is your interpretation of the R-square value? Explain to what extent your regression estimates can predict future return of your stock against your index’s movements

i. What is the estimate of RFR?

j. Calculate the value of the error term for each year and construct the histogram of the error terms

k. Using the Explore feature in SPSS, conduct a test for normality of the error terms and exhibit the normality plot

l. Does the result of the test for normality of the error terms affect the validity of your regression model? Please explain

m. Present an Help write my thesis – APA formatted write-up of your finding in one paragraph.

Part II

To determine the effectiveness of a sleeping drug, 75 people were randomly selected; 25 were randomly assigned to take the drug, 25 were randomly assigned to take the placebo, and the other 25 did not receive any treatment. The time to fall asleep after going to bed were measured for the three groups and is reported in the table below:

New Drug

Placebo

N0-Treatment

You want to conduct a one-way ANOVA to examine if there is a statistically significant difference at 5% level between the average time to fall asleep of the three groups

1. State the Null and Alternate hypotheses in the proper conventional format. Define any symbol that you use to state your hypothesis.

2. Copy and paste your SPSS output in your Word document.

3. Interpret the F and p values in your SPSS report.

4. From the information in the SPSS output calculate the F statistic manually and compare it with the F value in the SPSS output.

5. If appropriate conduct a post hoc test to determine which two groups average time to fall asleep are statistically different.

6. What is the real-life implication of your step 5 results?

7. Report the Levene statistic for the mean and median and interpret them.

8. What are the assumptions of one-way ANOVA? Do the assumptions hold for the data used in this exercise?

9. Present an Help write my thesis – APA formatted write-up of your complete results, one paragraph for the ANOVA results, one paragraph for the post hoc results, and one paragraph for validity of the assumptions.

Please be sure to include in-text citations and peer reviewed references in your discussion post.

*Please refer to the Grading Criteria for Comprehensive Learning Assessments (CLAs) on pages 18-19 of the University Policies for specific guidelines and expectations.

CLA2 Comprehensive Learning Assessment (CLA 2) Presentation

Activity 12: SPSS Practice: CLO 1, CLO 3, CLO 5, CLO 6

This question utilizes the data sets profile-a.sav and profile-b.sav. The data files are located in GAP in the DataFile folder under the Supplementary Course Material section. You are interested in examining whether the variables shown here in brackets [years of age (age), hours worked per week (hrs1), years of education (educ), years of education for mother (maeduc), and years of education for father (paeduc)] are predictors of individual income (rincmdol). Complete the following steps to conduct this analysis.

a) Using profile-a.sav, conduct preliminary regression to calculate Mahalanobis distance. Identify the critical value for chi-square. Conduct “Explore” to identify outliers. Which cases should be removed from further analysis?

For all subsequent analysis, use profile-b.sav. make sure that only cases where are selected.

b) Create a scatterplot matrix of all variables. Can you assume linearity and normality?

c) Conduct a preliminary regression to create a residual plot. Can you assume normality and homoscedasticity?

d) Conduct multiple regression using the Enter method. Evaluate the tolerance statistics. Is multicollinearity a problem?

e) Repeat the multiple regression using the Hierarchical Regression method. Use hours worked per week (hrs1), years of education (educ) in the first block. Are there any differences in the results?

f) Does the model significantly predict rincmdol? Explain.

g) Which variables significantly predict rincmdol? Which variable is the best predictor of the DV?

h) Which percentage of variance in rincmdol is explained by the model?

i) Homework help – Write the regression equation for the standardized variables.

j) Explain why the variables of mother’s and father’s education are not significant predictors of rincmdol.

*Please refer to the Grading Criteria for Comprehensive Learning Assessments (CLAs) on page 18 of the University Policies for specific guidelines and expectations.

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