Sheet1Problem 7-1On November 14, Thorogood Enterprises announced t.docx

Sheet1Problem 7-1On November 14, Thorogood Enterprises
announced that the public and acrimonious battle with its
current CEO had been resolved. Under the terms of the deal, the
CEO would step down from his position immediately. In
exchange, he was given a generous severance package. Given
the information below, calculate the cumulative abnormal return
(CAR) around this announcement. Assume the company has an
expected return equal to the market return. (Negative values
should be indicated by a minus sign. Leave no cells blank - be
certain to enter "0" wherever required. Do not round
intermediate calculations. Round your answers to 1 decimal
place.)DateMarket Return (%)Company Return (%)7-Nov1.5
1.1 8-Nov1.3 1.1 9-Nov−1.2 −.2 10-
Nov−.6 −.4 11-Nov2.3 1.0 14-Nov−1.1
2.8 15-Nov.1 .1 16-Nov.9 1.7 17-
Nov1.2 .6 18-Nov−1.2 .0 19-Nov1.3 .2
DailyCumulativeDays
fromAbnormalAbnormalAnnouncementReturnReturn−5
−4 −3 −2 −1 0 1 2
3 4 5
Sheet2Problem 7-5Ross Co., Westerfield, Inc., and Jordan
Company announced a new agreement to market their respective
products in China on July 18 (7/18), February 12 (2/12), and
October 7 (10/7), respectively. Given the information below,
calculate the cumulative abnormal return (CAR) for these stocks
as a group. Assume all companies have an expected return equal
to the market return. (Negative values should be indicated by a
minus sign. Leave no cells blank - be certain to enter "0"
wherever required. Do not round intermediate calculations.
Round your answers to 1 decimal place.)Ross Co.Westerfield,
Inc.Jordan
CompanyDateMarketCompanyDateMarketCompanyDateMarket
CompanyReturnReturnReturnReturnReturnReturn12-Jul-0.1 -
0.4 8-Feb-0.1 -0.4 1-Oct1.3 0.5 13-

Jul1.1 0.3 9-Feb-0.2 -0.4 2-Oct1.2 0.5 16-
Jul0.5 0.4 10-Feb0.5 0.6 3-Oct0.8 1.3 17-
Jul-0.6 -0.2 11-Feb0.7 2 6-Oct-0.1 -
0.8 18-Jul-0.9 1.3 12-Feb-0.1 0.1 7-Oct-
2.3 -0.8 19-Jul-1.8 -0.2 15-Feb1.3 1.8 8-
Oct1.3 0.5 20-Jul-0.9 -0.2 16-
Feb0.7 0.6 9-Oct-0.5 -0.5 23-
Jul0.6 0.4 17-Feb-0.1 0 10-Oct0.1 -
0.1 24-Jul1.1 0 18-Feb1.5 0.4 13-Oct-
0.2 -0.6 Abnormal returns (Ri – R-M)Days from
announcementRossW’fieldJordanSumAverage abnormal
returnCumulative average residual-4 -3 -2 -
1 0 1 2 3 4
Sheet3Problem 8-1Use the data below to construct the
advance/decline line for the stock market. Volume figures are in
thousands of shares and are from November 2-6, 2009. (Input
all amounts as positive values. Do not round intermediate
calculations. Round your answers to the nearest whole
number.)StocksAdvancingStocksDecliningAdvancingVolumeDe
cliningVolume Monday1,641 846,553 1,450 695,242
Tuesday2,448 428,360 1,836 452,321 Wednesday1,647
625,869 1,458 721,652 Thursday2,459 1,121,452 557
175,063 Friday1,772 513,670 1,479 496,085 Adv. /
Dec. Cumulative
Monday Tuesday Wednesday Thursday Friday
Sheet4Problem 8-2Construct the Arms ratio on each of the five
trading days. (Do not round intermediate calculations. Round
your answers to 3 decimal places.)StocksAdvancingStocks
DecliningAdvancingVolumeDecliningVolume Monday1,631
787,1331,512 646,144 Tuesday2,083 578,3601,668
451,537 Wednesday1,637 625,1191,520 721,034
Thursday2,481 1,115,416551 174,445 Friday1,700
512,2061,473 496,835 Arms
ratio Monday Tuesday Wednesday Thursday Friday
Sheet5Problem 8-3The table below shows the closing monthly
stock prices for Amazon.com and Google during 2011.

Calculate the simple three-month moving average for each
month for both companies. (Input all amounts as positive
values. Do not round intermediate calculations. Round your
answers to 2 decimal places. Omit the "$" sign in your
response.)AMZNGOOG January$172.64$607.61
February175.29618.80 March186.43579.71
April202.46546.10 May194.29518.62 June206.79500.38
July229.17605.19 August209.08538.71
September218.63513.74 October214.11597.69
November194.54595.04 December174.5651.40
AMZN GOOG March$ $ April May June July
August September October November December
Sheet6Problem 8-4The table below shows the closing monthly
stock prices for Amazon.com and Google during 2011.
Calculate the exponential three-month moving average for both
stocks where two-thirds of the average weight is placed on the
most recent price. (Do not round intermediate calculations.
Round your answers to 2 decimal places. Omit the "$" sign in
your response.)AMZNGOOG January $176.24$616.31
February177.69625.28 March193.99571.25
April210.44548.50 May191.41506.14 June209.55493.18
July237.15606.99 August201.7536.01
September221.51512.18 October214.83603.75
November197.24589.82 December176.18658.00 AMZN
GOOG
March$ $ April May June July August September
October November December
Sheet7Problem 8-6A group of investors was polled each week
for the last five weeks about whether they were bullish or
bearish concerning the market. Construct the market sentiment
index for each week based on these polls.(Do not round
intermediate calculations. Round your answers to 4 decimal
places.)WeekBullsBears1666325596361884649552844MSI1234
5
Sheet8Problem 8-7You are given the following information
concerning the trades made on a particular stock. Calculate the

money flow for the stock based on these trades. (Leave no cells
blank - be certain to enter "0" wherever required. Negative
amounts should be indicated by a minus sign. Do not round
intermediate calculations. Round your answers to the nearest
whole dollar. Omit the "$" sign in your response.)PriceVolume
$70.0470.072,70070.052,20070.042,60069.052,75070.313,50
070.223,800PriceUp/Down Plus Price timesPositive
MoneyNegative Money Net
MoneyVolumeFlowFlowFlow$70.0470.0770.0570.0469.0570.31
70.22Money flow at the end of the day$
Sheet9Problem 8-10Use the data below to construct the
advance/decline line and Arms ratio for the market. Volume is
in thousands of shares. (Input all amounts as positive values. Do
not round intermediate calculations. Round your "Arms ratio" to
3 decimal places.)Stocks AdvancingAdvancing VolumeStocks
DecliningDeclining Volume Monday1,640 944,111 440
66,203 Tuesday2,713 884,531 659 209,567
Wednesday1,619 517,257 1,395 498,300
Thursday2,200 927,436 825 313,301 Friday1,853
592,823 1,190 383,828 Adv./Dec. Cumulative Arms
ratio Monday Tuesday Wednesday Thursday Friday
Sheet10A stock had the following trades during a particular
period. What was the money flow for the stock? (Leave no cells
blank - be certain to enter "0" wherever required. Input all
amounts as positive values. Do not round intermediate
calculations. Round your answers to the nearest whole dollar.
Omit the "$" sign in your response.)PriceVolume
$82.4582.412,400 82.422,800 82.452,700 82.442,850
82.471,100 82.481,800 82.52600 82.511,400 82.533,000
PriceUp/DownPrice timesPositive MoneyNegative Money Net
Money
FlowVolumeFlowFlow$82.4582.41$ $ $ 82.4282.4582.4482.
4782.4882.5282.5182.53Money flow at the end of the day$
Sheet11Below you will find the closing stock prices for eBay
over a three-week period. Calculate the simple three-day and
five-day moving averages for the stock. (Round your answers to

2 decimal places. Omit the "$" sign in your
response.)DateClose4/23/12$37.18 4/24/1237.00 4/25/1236.60
4/26/1236.86 4/27/1236.12 4/30/1236.29 5/1/1236.36
5/2/1236.40 5/3/1237.09 5/4/1237.19 5/7/1237.12
5/8/1237.28 5/9/1237.61 5/10/1237.76 5/11/1237.59 3-day
5-day
4/23/124/24/124/25/12$ 4/26/124/27/12 $ 4/30/125/1/125/2
/125/3/125/4/125/7/125/8/125/9/125/10/125/11/12
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Running head: IMPLEMENTATION PLAN PROPOSAL 1

IMPLEMENTATION PLAN PROPOSAL 6
Implementation Plan Proposal
Steve Palos
Grand Canyon University: PSY-843
July 14, 2015
Implementation Plan Proposal
The implementation plan defines how the Member Co-op Match
program will be put into practice. The plan contains a
description of both the qualitative and quantitative methods of
collecting data for the research; the rationale for the selection
of procedures for collecting the data; a justification of the
validity and reliability of the quantitative data collected; and
the challenges expected during collection of data for the
implementation of the program.
The Member Co-op Match Program designed by Land O'Lakes
is aimed at providing funds and grants to eligible local projects
so as to improve the quality of life in the communities (Land
O'Lakes Inc., n.d.). Therefore, a successful implementation of
the program will incorporate the maximum contribution and
effort from all the relevant stakeholders. They include the non-
profit organizations, the Land O'Lakes Inc. employees, and

management as well as the public. These individuals will
provide the necessary information and support required for the
full implementation of the program. And so, both the
qualitative and quantitative methods of data collection will be
utilized to gather the information.
Research Methodology
Data collection methods
Quantitative data collection methods depend on structured data
collection tools and random sampling that fit varied experiences
into preset response categories. They offer results that can
easily be summarized, compared and generalized (Neuman,
2005). For the Member Co-op Match program, the quantitative
data will provide a guideline in the understanding the scale and
magnitude of the eligibility and impact of the local projects by
providing its numerical illustration. As such, survey
questionnaires will be employed to gather quantitative data.
According to Neuman (2005), surveys are important when
collecting data from large groups since standardization is key to
yielding valid results. The questions constructed will both be
close and open-ended with responses taking the form of rating
on a given scale (i.e. from a scale of 1 to 4 ranging from agree
to disagree). Other responses will include categories where
respondents can choose from. The rating scales will help to
quantify the respondents' behaviors and attitudes (Noor, 2008).
The study will employ the paper and pencil questionnaire that
will be sent to different individuals in the communities and a
few distributed within the Land O'Lakes staff as well as in some
non-profit organizations.
Besides questionnaires, in-depth interviews will be carried out
to collect qualitative data. Both the in-person and telephone
interviews will be used in the study. According to Neuman
(2005), qualitative data collection methods play a significant
role in impact evaluation by offering useful information to
comprehend the processes behind the expected outcomes and
examine changes in the perceptions of people's well-being.
Specifically, the in-depth interviews will be used to enhance the

quality of the survey questionnaires by assisting in generating
an evaluation hypothesis, clarifying the findings from the
quantitative evaluation as well as reinforcing the design of the
survey-based questionnaires (Boyce & Neale, 2006).
Rationale for data collection methods
The use of survey questionnaires is the most appropriate method
of collecting quantitative data since a large number of
individuals are required for the study, and the responses needed
require clearly defined and a preset set of questions (Noor,
2008). Moreover, questionnaires are expedient for both the
summative and formative purposes. Based on previous
research, some of the benefits of using survey questionnaires
include:
· Questionnaires are appropriate for collecting descriptive data
· They can cover a broad range of topics
· They are a cheap method of collecting data.
· They can easily be analyzed using different types of software.
Though surveys are beneficial, they also have some weaknesses
as data collection methods. They include:
· Self-reporting may lead to biased reporting.
· The data collected may be generalized but lack depth.
· The questionnaire may not offer the adequate information
required.
Given the above, the in-depth interviews will be used to counter
the weaknesses of the survey questionnaires as well as provide
the in-depth information needed. Accordingly, this
methodology has the following benefits:
· It provides detailed and comprehensive data.
· It allows in-person contact with the respondents
· It captures both the affective and cognitive responses.
· It permits the clarification of questions thereby enhancing the
probability of useful responses.
The use of in-depth interviews is, however, expensive and time-
consuming. Moreover, a respondent may alter the information
as a result of selective perceptions, recall error or the desire to
gratify the interviewer (Boyce & Neale, 2006). All the same,

several studies suggest that in-depth interviews are useful,
reliable and valid in collecting qualitative data as well as
improving the quality of information collected from quantitative
methods (Noor, 2008).
Justification of the data collection method.
The use of survey questionnaires together with in-depth
interviews will ensure reliability and validity of the information
collected. Reliability is the degree of consistency of data
collected while validity is the accuracy and precision of the
information produced (Roberts, 2006). External validity of the
quantitative data collected will be established through accurate
sampling, performing data triangulation, participation feedback,
regression analysis and experiment review. To ensure validity,
the method of data collection will be transparent and
systematic. Also, an audit trial and documentation of the flow
and dispensation of data will be maintained. Content validity
will be guaranteed through randomly selecting items that are
representative of all the information (Noor, 2008).
On the other hand, reliability will be established by performing
a test-retest reliability whereby the same questionnaire is
provided to the same individuals after a given period (Roberts,
2006). This will help in examining the consistency of the
responses from the different questionnaires. The data collected
will be verified by conducting consisted checks for accuracy
and completeness as well as providing reports that compare the
data collected with those from other sources.
Challenges in data collection
There are certain challenges that will be encountered while
gathering the necessary data and information for the
implementation of the program. Critical information may be
missed out if the questions were not clearly documented from
the start (Neuman, 2005). Thus, it can be difficult to accurately
capture this information at the later stages of data collection.
Another challenge that is common to many studies is the time
limitation (Noor, 2008). The respondents may find it difficult

to comprehend the purpose of the study thereby providing
inaccurate or incomplete information due to the amount of time
that is prescribed for the questionnaire or interviews.
Additionally, lack of resources such funds can be a major
downturn during data collection. Shortage of funds may result
in limited opportunity to capture all the information required
since the audience to be reached will have to be trimmed. This
will likely affect the validity and reliability of the data
collected since the sample selected will not be representative
but rather limited to a particular area (Roberts, 2006). And so,
extensive prior research will be conducted so as to be aware of
the potential challenges during collecting of data, and
formulating ways to deal with or eliminate such problems.
Particularly, for the Land O'Lakes Co-op Match program, the
data to collect requires representative information from the
communities and so conducting a research to understand the
community needs and ensure accurate sampling is necessary.
Also, given the large target audience, proper planning in terms
of time and finances will be crucial to ensuring success in
collecting both the qualitative and quantitative data.
Conclusion
Proposing and defending the methodology for implementing a
program evaluation plan is a tedious yet necessary task. Both
quantitative and qualitative methods must be examined to
determine if using only one method or combining both
methodologies will best represent the true nature of the
phenomenon being investigated. The quantitative data analysis
technique will establish guidelines for what evaluators are to do
with the new data gathered from resources such as; closed-
ended questionnaires/questions, checklist and scale forms of
data, absolute number of years and/or service contracts. The
qualitative data analysis methodology will permit program
evaluators to analyze the accrued data from sources such as;
open-ended questionnaires/questions, individual notes obtained
from training programs/group programs, descriptive-form
records, case examples, and any other types of non-quantitative

information. Researchers must establish the most efficient
form/s of analysis when conducting research because it is vital
if one wants to ensure that the research is both valid and
reliable. Without validity and reliability research should not be
attempted.
References
Boyce, C., & Neale, P. (2006). Conducting in-depth interviews:
A guide for designing and conducting in-depth interviews for
evaluation input (pp. 3-7). Watertown, MA: Pathfinder
International.
Land O'Lakes Inc. (n.d.). Retrieved from Land O'Lakes Web
site:
https://www.landolakesinc.com/company/corporateresponsibilit
y/foundation/membermatch/programdescription/default.aspx
Neuman, W. L. (2005). Social research methods: Quantitative
and qualitative approaches (Vol. 13). Boston: Allyn and Bacon.
Noor, K. B. (2008). Case study: A strategic research
methodology. American journal of applied sciences, 5(11),
1602-1604.
Roberts, P. P. (2006). Reliability and validity in research.
Nursing standard, 20(44), 41.

Sheet1Problem 7-1On November 14, Thorogood Enterprises announced t.docx

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