BUSI 330 Quiz_1.practice materials 2021.pdf

Criteria Points Possible

Points

Earned

Forum 0 to 100 points

All questions are divided amongst the group members

and answered fully.



At least 2 unique questions were responded to for Part



At least 2 substantive replies for Part 2 were submitted;

each reply includes at least 1 strength and 1 weakness of

the group member’s thread.



Each thread is 500–750 words, and each reply (at least

2) is 450–600 words.



All posts were submitted by the stated submission

deadlines.



Each thread and response references at least 2 peer-

reviewed sources and 1 biblical integration.

All sources are cited in current APA format.

Proper spelling and grammar are used.

Sentences are complete, clear, and concise.

The ideas

you have

included

are solid;

but there

are

numerous

sources

needed

and you

also had

APA

errors in

each

reference

section

(see note)

Total 82/100

Thread: Final 13.15

Post: Final 13.15

Author: Tina Walker

Posted Date:

October 19, 2017 2:29 PM

Status: Published

Group Week 7

Tina Walker

13.15. Government economic data revels that young adults, not middle-aged or older

adults, are having the most difficult time in today’s economy. Although the nation’s

labor market shows a decline in the unemployment rate, the percentage of young

adults, ages 18 to 24, currently employed (54%) is at the lowest level since

government data collection began in 1948. If you were working for a national survey

organization doing a general public survey of young adults and older adults, which

topics and questions would you design into your survey to elaborate on this finding?

The number of fully employed adults working in the United States is one of the

most important economic indicators. The rate of employment affects the federal

government, as well as local and state government. Beyond the economic

implications, the work one does is one of the primary ways people view and

define their identity.

Business Research Methods, 12th edition, states that survey questions contain

three categories of questions: administrative questions, classification questions,

and target questions (Cooper & Schindler, 2014, p. 302). The right questions will

assist the survey organization create a clearer picture of the survey topic. To

assist a national survey organization in understanding unemployment rates, the

first step is to define the nature of the unemployment. In Gatzia’s exploration,

“The Problem of Unemployment”, the author explains that there are three types of

unemployment in a capitalist system, cyclical, structural, and frictional.

Cyclical unemployment corresponds to business cycles – it typically results from

recessions. Structural unemployment occurs when the jobs that are available do

not match with the skill sets of the unemployed workers – it typically results from

international competition or technological changes. Frictional unemployment

corresponds to the turnover of labor – it typically results either from job loss or

increases in the number of people entering the workforce

Based upon this expanded understanding of unemployment, among the topics to

address in the survey should include:



oGeographic location

oPrevious employment

oRace / Ethnic identity

oPrevious salary / average pay

Additionally, the survey should investigate the circumstances that surround the

severing of unemployment. For younger workers, it is more likely that the end of

employment is mutual; the work may be seasonal or school-related. The job may

be entry-level, unskilled work that is not central to the worker’s life, or is not

highly valued. According to Popescu, “youth unemployment is heavily

concentrated among the least educated” (Popescu, 2014, p. 36). To fully

understand unemployment, any survey of the subject must include in-depth

questions about the respondent’s educational background and skill level. The

survey should ask:

Does the respondent have a high school diploma? Bachelor’s

degree? Graduate degree?

What is the level of computer skill?

Is the respondent confident in the use of social media tools?

Does the respondent have any valuable or specialized skills?

Finally, the survey should ask the respondents to evaluate the nature of their

unemployment. Do the individuals believe that their work severance is due to a

lower skill level? Do they believe that it is related to their level of education? Do

they believe it is based solely on an economic downturn or failing economy? Do

they feel optimistic about their likelihood to find new employment? According

the Nordic Economic Review, “young people are optimistic about the future and

particularly happy” (Bell & Blanchflower, 2011, p. 14). Does this optimism

extend to their job search?

The highest level of understanding of unemployment will be produced by a

survey that explores the type and contributing factors of unemployment. To

understand why unemployment among young people, the survey organization

must discover whom these young people are and compare this group with other

age groups and other time periods.

Matthew 14:13 Now when Jesus heard this, he withdrew from there in a boat to a

desolate place by himself. But when the crowds heard it, they followed him on

foot from the towns. Jesus understood the crowds’ needs and helps provide food

for the entire population. In a way Jesus took a survey of the population needs

and could provide food for them even when there were only five loaves and two

fish. This is also a good reminder that we should help others who are in need.

Bell, D. N., & Blanchflower, D. G. (2011). Youth unemployment in Europe and the

United States. Nordic Economic Policy Review, 4(1). Retrieved October 11, 2017, from

Academic OneFile.

Popescu, G. H. (2014). Unemployment dynamics in the U.S. Journal of Self-Governance

and Management Economics, 32. Retrieved October 11, 2017, from Academic OneFile.

Gatzia, Dimitria Electra (2013), “The Problem of Unemployment,” Journal of Self-

Governance and Management Economics 1(4): 7–25.

Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods (12thed.). New

York, NY: McGraw-Hills Companies.

https://www.biblegateway.com/passage/?search=Matthew

%2B14%3A13&version=ESVBibleGateway. (n.d.). Retrieved October 11, 2017, from

Attachment: Group Week 7 answer 2.docx (16.453 KB)

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Thread: Final 13.5

Post: Final 13.5

Author: Tina Walker

Posted Date:

October 19, 2017 2:27 PM

Status: Published

Group Week 7

Tina Walker

13.5. One of the major reasons why survey research may not be effective is that the

survey instruments are less useful than they should be. What would you say are the

four possible major faults of survey instrument design?

While opinions will vary on these, four important faults of the survey instrument

design are:



Failure to understand the full dimensions of the subject,

hence the topic is covered inadequately, and the

information is not secured in its most useful form,

Failure in selecting the most appropriate communication

process or combination of processes,

Failure in drafting specific measurement questions: hence

inadequate attention is given to each question's content,

wording, and the sequence of the questions, and

Failure to test the instrument properly.

Your large firm is about to change to a customer-centered organization structure,

in which employees who have rarely had customer contact will now likely

significantly influence customer satisfaction and retention. As part of the

transition, your superior wants an accurate evaluation of the morale of the firm’s

substantial number of computer technicians. What type of sample would you draw

if it was to be an unrestricted sample?

I would go in for a random sampling method. Here the method used is objective

where the reactions of the organizations considerable number of computer

technicians are required. A random sample of one in a four population of

computer technicians will fit the need of the data collection and the sampling

method. This random sampling would not be based on any predetermined

standards but would only look at 1 out of 4 computer technicians irrespective of

any demarcation. This will help the organization to understand the feel of the

change and will give a good representative idea of what the shift would mean and

how it would affect the organizational morale. Since this is not influenced by the

judgment of the selector it would give good statical input for the change.

Your task is to interview a representative sample of attendees for the large concert

venue where you work. The new season schedule includes 200 live concerts

featuring all types of musicians and musical groups. Since neither the number of

attendees nor their descriptive characteristics are known in advance, you decide

on nonprobability sampling. Based on past seating configurations, you can

calculate the number of tickets that will be available for each of the 200 concerts.

Thus, collectively, you will know the number of possible attendees for each type

of music. From attendance research conducted at concerts held during the

previous two years, you can obtain gender data on attendees by type of music.

How would you conduct a reasonably reliable nonprobability sample? (Cooper &

Schindler, 2014).

The first step is before determining the types of research is establishing a

hypothesis: Guest complaints related to housekeeping and employee attitude are

increasing because of rigidity amongst the workers. The first viable option would

be to conduct personal interviews with guests as they check out. This would be

effective because of the easiness of access to the guests, minimal costs associated

with the participant size and the interviewer would be able to get good qualitative

records about the attitudes of the staff.

The next option would be to conduct a direct, unknown behavioral observation of

staff interactions with guests. An ideal method would be an observer participation

scenario with a mystery shopper acting as a guest. This would give management a

good look at the issues quests are facing.

The last method would be to treat the scenario as an experiment with the guest

complaints as the dependent variable and staff tension as the independent

variable.

Illustrations of nonprobability sampling include:



oConvenience and Accidental Sampling

oSnowball Sampling

oJudgmental Sampling

oDeviant Case

oCase study

oAd-hoc Quotas

Proverbs 18:2 ESV “A fool takes no pleasure in understanding, but only in

expressing his opinion.” In natural understanding, and in the improvement of his

mind in it; he delights not in books, nor in the conversation of men of learning

and sense: or in spiritual understanding, in the understanding of spiritual things;

these are foolishness to a natural man; nor does he delight in reading the

Scriptures, nor in hearing the word, and attendance on it in the house of God, but

is weary of such exercises; but that his heart may discover itself; and the folly that

is in it: such men only desire to have some knowledge and understanding, to make

a show of it, that they may be thought to be wise, and to be capable of talking of

things as if they understood them, when it is only to the exposing of themselves

and their ignorance; some persons attain to no more learning and knowledge than

just to be capable to show that they are fools. Or, "but in the discovery of his

heart"; he delights in discovering that; not the wisdom, but the folly that is in it.

Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods (12thed.). New

York, NY: McGraw-Hills Companies.

Dibb, S., Rushmer, A., & Stern, P. (2001). New survey medium: Collecting marketing

data with e-mail and the World Wide Web. Journal of Targeting, Measurement & Analysis

for Marketing, 10(1), 17.

BibleGateway. (n.d.). Retrieved October 11, 2017, from

https://www.biblegateway.com/passage/?search=Proverbs%2B18%3A2&version=ESV

Attachment: Group Week 7 answer 1.docx (16.904 KB)

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Thread:

Question 18.5

Post:

RE: Question 18.5

Author:

Tina Walker

Posted Date:

October 17, 2017 4:30 PM

Status:

Published

Thanks for an informative post. I came up with some similar information. Here is mine....

To figure out the appropriate measure of association to use during this exercise, one must understand the

different types of measures that are used in research. A measure of association is commonly defined as the

factors used to quantify a relationship between two or more subjects (Haug & Rogers, 2016). In this

exercise, the common subject is the type of drink that individuals drink and also the age brackets of those

individuals. There are three different types of measurements that are discussed within the chapter; they

include interval and ratio, ordinal and nominal. Interval determines the equality between different intervals

or the difference between them. An example would be the temperature in degrees (Cooper & Schindler,

2014). Ratio measurements typically determine the equality of ratios within research conducted by an

organization. This data represents the measurements of physical dimensions for example age in years or

distance between something. Additionally, ordinal measurements determine the greater or lesser value of an

object. This type of measurement characteristically deals with how an individual feels about a certain

subject. For example, how one will rank the varieties of potato chips. Lastly, nominal measurements consist

of collecting information on a variable that by design or naturally can be grouped into two or more

categories (Cooper & Schindler, 2014). This type of measurement is widely used and an example would be

using the attendance of a baseball game. A researcher can ask the patrons if this is their first game or they

have been to one before.

When looking at the information that has been provided from the results, there is one measurement method

that sticks out for this assignment and that would be nominal. Due to the fact that there are two different

categories for each subject and they can naturally be grouped into two categories. Nominal measurements

are broken down by using correlation coefficients, which are the methods used to seek the change in one

value that will predict a change in the other and reveals the degree and direction of the relationship (Haug

& Rogers, 2016). For this question the best coefficient to use the Phi or Chi-squared to represent the data.

This is due to the table being a 2 x 2. The following is how it should be presented.

Contingency Table and Correlations

Soda Drinkers

Count

Cola Noncola

Age 1 2 Row Total

Teenagers 1 50 80 130

50.0

Adults 2 90 40 130

50.0

Column 143 120 200

Total 53.8 46.2 100.0

Chi-Squared Value DF Significance

Pearson 24 75190 1 0.00000

Continuity

Correction 23 53929 1 0.00000

Min Expected Freq - 60.0

Approximate

Statistic Value Significance

Phi 30861 0.00000

Cramer's V 30661 0.00000

Contingency

Coefficient 20488 0.00000

The information that is provided seems to state that there is not any indication of the direction in

relationship between the two subjects. The advertising agency can use the information provided to deliver

advertisements that did not focus on age specifically. Due to the fact that they do not have a correlation

between each, the advertisers can focus on other factors that make individuals want to drink cola over non-

cola drinks.

Biblical Integration

Proverbs 18:13 states, “If one gives an answer before he hears, it is his folly and shame” (English

Standard Version). It is in the best interest of the advertisers to complete their research before making a

decision on who and how to market their product. If they do not listen to the research, they will have

problems with successfully producing a product for the correct market.

Cooper, D. R., & Schindler, P. S. (2014). Business research methods (12th ed.). New

York, NY: McGraw-Hill.

Haug, M.G. & Rogers, K. (2016). Measure of Association. Retrieved from

https://www.britannica.com/topic/measure-of-association

BibleGateway. (n.d.). Retrieved October 17, 2017, from https://www.biblegateway.com/passage/?

search=Proverbs%2B18%3A13&version=ESV

Attachment: Group Week 8 response 2.docx (21.258 KB)

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Thread:

Question 14.7

Post:

RE: Question 14.7

Author:

Tina Walker

Posted Date:

October 17, 2017 4:11 PM

Status:

Published

Thanks for the great post! Here are my thoughts:

I would go in for a random sampling method. Here the method used is objective where

the reactions of the organizations substantial number of computer technicians are

required. A random sample of one in a four population of computer technicians will fit

the need of the data collection and the sampling method. This random sampling would

not be based on any predetermined standards but would only look at 1 out of 4 computer

technicians irrespective of any demarcation. This will help the organization to understand

the feel of the change and will give a good representative idea of what the shift would

mean and how it would affect the organizational morale. Since this is not influenced by

the judgment of the selector it would give good statically input for the change.

Your task is to interview a representative sample of attendees for the large concert venue

where you work. The new season schedule includes 200 live concerts featuring all types

of musicians and musical groups. Since neither the number of attendees nor their

descriptive characteristics are known in advance, you decide on nonprobability sampling.

Based on past seating configurations, you can calculate the number of tickets that will be

available for each of the 200 concerts. Thus, collectively, you will know the number of

possible attendees for each type of music. From attendance research conducted at

concerts held during the previous two years, you can obtain gender data on attendees by

type of music. How would you conduct a reasonably reliable nonprobability sample?

(Cooper & Schindler, 2014).

The first step is before determining the types of research is establishing a hypothesis:

Guest complaints related to housekeeping and employee attitude are increasing because

of rigidity amongst the workers. The first viable option would be to conduct personal

interviews with guests as they check out. This would be effective because of the easiness

of access to the guests, minimal costs associated with the participant size and the

interviewer would be able to get good qualitative records about the attitudes of the staff.

The next option would be to conduct a direct, unknown behavioral observation of staff

interactions with guests. An ideal method would be an observer participation scenario

with a mystery shopper acting as a guest. This would give management a good look at the

issues quests are facing.

The last method would be to treat the scenario as an experiment with the guest

complaints as the dependent variable and staff tension as the independent variable.

Examples of nonprobability sampling include:

Convenience and Accidental Sampling - Members of the population are chosen based on

their relative ease of access. To sample friends, co-workers or shoppers at a single mall

are all examples of convenience sampling.

Snowball Sampling - The first respondent refers a friend. The friend also refers a friend

etc.

Judgmental Sampling - The researcher chooses the sample based on who they think

would be appropriate for the study. This is used primarily with limited number of people

that have expertise in the area being researched.

Deviant Case - Get cases that substantially differ from the dominant pattern.

Case study - The research is limited to one group, often with a similar characteristic or of

small size.

Ad-hoc Quotas - A quota is established (say 75% women) and researchers are free to

choose any respondent they wish as long as the quota is met.

Colossians 3:23-24 ESV “Whatever you do, work heartily, as for the Lord and not for

men, knowing that from the Lord you will receive the inheritance as your reward. You are

serving the Lord Christ.” We are called to work heartily for the Lord. So, if that doesn’t

mean we should work heartily to meet God’s needs, what does it mean? I found the

answer in the next verse. Read verses 23 and 24 together: “Whatever you do, work

heartily, as for the Lord and not for men, knowing that from the Lord you will receive the

inheritance as your reward.”

To do something for the Lord means we do it knowing something — that from the Lord

we will receive the reward of the inheritance. So, doing something for the Lord does not

mean doing something to meet the Lord’s needs. It means doing something to receive the

Lord’s reward.

And the reward the Lord gives is the inheritance, the all-satisfying joy of knowing him

forever. So, to work heartily for the Lord means to work heartily for the reward of joy in

the Lord.

It’s like what a football coach means when he pulls the team together and says, “Let’s do

this for the win!” What he means is, let’s do this for the reward of winning.

Cooper, D. R., & Schindler, P. S. (2014). Business Research Methods (12thed.). New

York, NY: McGraw-Hills Companies.

Bowles, D., & Cooper, C. P. (2009). Employee Morale: Driving Performance in

Challenging Times. Basingstoke, GB: Palgrave Macmillan. Retrieved from

http://www.ebrary.com

BibleGateway. (n.d.). Retrieved October 17, 2017, from

https://www.biblegateway.com/passage/?search=Colossians%2B3%3A23-

24&version=ESV

Attachment: Group Week 8 response 1.docx (14.997 KB)

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Thread: Question 13.15

Post: Question 13.15

Author: Tina Walker

Posted Date:

October 11, 2017 3:35 PM