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Please identify three data collection tools (ex: mail/phone
surveys, intercept/arranged interviews, focus groups, Internet
cookies) that you could use to survey possible stakeholders.
After choosing your data collection methods, please answer the
following questions:
1. Statistically speaking, does your data collection method have
a high or low participation rate?
2. What information would you like to uncover during this
process?
3. Does your survey instruments violate HIPAA or any other
healthcare laws?
4. How can it benefit your organization?
5. Please list two questions that you will include on your survey
or questionnaire.
Due dates for your initial and response posts can be found by
checking the Course Syllabus and Course Calendar.
Need Help? Click here for complete discussion forum
instructions.
Writing Assignment: Intervention Selection and Design
The text states intervention selection is primarily a process
activity. On pages 249-250 are a list of intervention types. Go
to Grantham's Online Library Ebscohost and find the article:
Making Business-to-Business International Internet Marketing
Effective: A Study of Critical Factors Using a Case-Study
Approach. Which intervention type is needed to make
International marketing effective in your opinion from reading
the case study? Make an argument of what intervention
selection and design you would use and why?
Write a 3 page response using APA forma
Your paper should reflect scholarly writing and current APA
standards. Please include citations to support your ideas.
USING THE ROI PROCESS MODEL
The next challenge for many project leaders is to collect a
variety of data along a chain of impact that shows the project’s
value. Figure 13.3 displays a detailed view of the sequential
steps that lead to data categorized by the five levels of results.
This figure shows the ROI methodology, a step-by-step process
beginning with the objectives and concluding with reporting of
data. The model assumes that proper analysis is conducted to
define need before the steps are taken.
Evaluation Planning
An important first step in planning is to establish or refine the
objectives. Ideally, objectives are developed from the initial
analysis, described earlier.
Figure 13.3 ROI Process Model.
©2009 ROI Institute, Inc.
On occasion, the evaluation may stop with Level 3 objectives,
excluding the impact objectives that are needed to direct higher
levels of evaluation. If application and impact objectives are not
available, they must be developed using input from job
incumbents, analysts, project developers, subject-matter
experts, facilitators, and on-the-job team leaders.
Three simple planning documents are developed next: the data
collection plan, the ROI analysis plan, and the project plan.
These documents should be completed during evaluation
planning and before the evaluation project is implemented—
ideally, before the program is designed or developed. Figure
13.4 shows a completed data collection plan for a project
undertaken to reduce bus drivers’ absenteeism in a major city.
This document provides a place for the major elements and
issues regarding data collection, described in the next section.
This planning document also captures information on key items
that are necessary to develop the actual ROI calculation—all
described in the data analysis section. The final plan developed
for the evaluation planning phase is a project plan. A project
plan consists of a description of the project and brief details,
such as duration, target audience, and number of participants. It
also shows the timeline of the project, from the planning of the
study through the final communication of the results. This plan
becomes an operational tool to keep the project on track.
Most of the decisions regarding the process are made as these
planning tools are developed. The remainder of the project
becomes a methodical, systematic process of implementing the
plan.
Collecting Data
Data collection is central to the ROI methodology. Both hard
data (representing output, quality, cost, and time) and soft data
(including job satisfaction and customer satisfaction) are
collected. Data are collected using a variety of methods, listed
in Figure 13.5. These are commonly used methods. This figure
also shows the methods which are appropriate for the different
levels of data.
The important challenge in data collection is to use a method or
methods appropriate for the setting and the specific program,
within the time and budget constraints of the organization.
Figure 13.4 shows the methods, timing, and sources for data
collection in the absenteeism reduction project. Additional
details on data collection can be found in other references
(Phillips & Stawarski, (2008).
Figure 13.4 Data Collection Plan.
*Three questions address how the policy works (employee must
answer two correctly); two address employees’ role (employee
must answer one correctly). 2009 ROI Institute, Inc.
Figure 13.5 Data Collection Methods.
©2009 ROI Institute, Inc.
Data Analysis
Data analysis involves all steps from data collection to
reporting. Five distinct steps are always addressed: isolating the
effects of the project, converting data to monetary values,
tabulating project costs, calculating ROI, and identifying
intangible benefits. Each is briefly discussed next.
Isolating the Effects of the Project. An often overlooked issue
in evaluation is the process of isolating the effects of the
project. In this step, specific strategies are explored that
determine the amount of output performance directly related to
the project. This step is essential because many factors will
influence performance data. The specific strategies of this step
pinpoint the amount of improvement directly related to the
project, resulting in increased accuracy and credibility of ROI
calculations. The following techniques have been used by
organizations to tackle this important issue:
· Control groups
· Trend line analysis
· Forecasting models
· Participant estimates
· Managers’ estimates
· Senior management estimates
· Experts’ input
· Customer input
Collectively, these techniques provide a comprehensive set of
tools to handle the important and critical issue of isolating the
effects of projects. Additional information on methods of
isolation are available in other references (Phillips & Aaron,
2008).
Converting Data to Monetary Values. To calculate the return on
investment, Level 4 impact data are converted to monetary
values and compared with project costs. This requires that a
value be placed on each unit of data connected with the project.
Many techniques are available to convert data to monetary
values. The specific technique selected depends on the type of
data and the situation. The techniques include:
· Use of output data, as standard values
· Cost of quality, usually as a standard value
· Time savings converted to participants’ wage and employee
benefits
· An analysis of historical costs
· Use of internal and external experts
· Search of external databases
· Use of participant estimates
· Use of manager estimates
· Soft measures mathematically linked to other measures
This step in the ROI model is important and absolutely
necessary in determining the monetary benefits of a project. The
process is challenging, particularly with soft data, but can be
methodically accomplished using one or more of these
strategies. Additional information on data conversion
techniques are available in other works (Phillips & Burkett,
2008).
Tabulating Project Costs. An important part of the ROI equation
is the calculation of project costs. Tabulating the costs involves
monitoring or developing all the related costs of the project
targeted for the ROI calculation. Among the cost components to
be included are
· Initial analysis costs
· Cost to design and develop the project
· Cost of all project materials
· Costs for the project team
· Cost of the facilities for the project
· Travel, lodging, and meal costs for the participants and team
members
· Participants’ salaries (including employee benefits)
· Administrative and overhead costs, allocated in some
convenient way
· Evaluation costs
The conservative approach is to include all these costs so that
the total is fully loaded.
Calculating the Return on Investment. The return on investment
is calculated using the program benefits and costs. The
benefits/costs ratio (BCR) is calculated as the project benefits
divided by the project costs. In formula the BCR is;
The return on investment is based on the net benefits divided by
project costs. The net benefits are calculated as the project
benefits minus the project costs. In formula form, the ROI is
This is the same basic formula used in evaluating other
investments, in which the ROI is traditionally reported as
earnings divided by investment. Additional information on costs
and ROI are contained in other works (Phillips & Zuniga, 2008).
Identifying Intangible Benefits
In addition to tangible, monetary benefits, intangible benefits
(those not converted to money) are identified for most projects.
Intangible benefits include items such as:
· Increased employee engagement
· Increased organizational commitment
· Improved teamwork
· Improved customer service
· Fewer complaints
· Reduced conflict
During data analysis, every attempt is made to convert all data
to monetary values. All hard data—such as output, quality, and
time—are converted to monetary values. The conversion of soft
data is attempted for each data item. However, if the process
used for conversion is too subjective or inaccurate and the
resulting values lose credibility in the process, then the data are
listed as an intangible benefit with the appropriate explanation.
For some projects, intangible, nonmonetary benefits are
extremely valuable and often carry as much influence as the
hard data items.
Reporting
The final step in the ROI process model is reporting—a critical
step that is often deficient in the degree of attention and
planning required to ensure its success. The reporting step
involves developing appropriate information in impact studies
and other brief reports. Careful planning to match the
communication method with the audience is essential to ensure
that the message is understood and that appropriate actions
follow.

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Please identify three data collection tools (ex mailphone survey.docx

  • 1. Please identify three data collection tools (ex: mail/phone surveys, intercept/arranged interviews, focus groups, Internet cookies) that you could use to survey possible stakeholders. After choosing your data collection methods, please answer the following questions: 1. Statistically speaking, does your data collection method have a high or low participation rate? 2. What information would you like to uncover during this process? 3. Does your survey instruments violate HIPAA or any other healthcare laws? 4. How can it benefit your organization? 5. Please list two questions that you will include on your survey or questionnaire. Due dates for your initial and response posts can be found by checking the Course Syllabus and Course Calendar. Need Help? Click here for complete discussion forum instructions. Writing Assignment: Intervention Selection and Design The text states intervention selection is primarily a process activity. On pages 249-250 are a list of intervention types. Go to Grantham's Online Library Ebscohost and find the article: Making Business-to-Business International Internet Marketing Effective: A Study of Critical Factors Using a Case-Study Approach. Which intervention type is needed to make International marketing effective in your opinion from reading the case study? Make an argument of what intervention selection and design you would use and why? Write a 3 page response using APA forma Your paper should reflect scholarly writing and current APA
  • 2. standards. Please include citations to support your ideas. USING THE ROI PROCESS MODEL The next challenge for many project leaders is to collect a variety of data along a chain of impact that shows the project’s value. Figure 13.3 displays a detailed view of the sequential steps that lead to data categorized by the five levels of results. This figure shows the ROI methodology, a step-by-step process beginning with the objectives and concluding with reporting of data. The model assumes that proper analysis is conducted to define need before the steps are taken. Evaluation Planning An important first step in planning is to establish or refine the objectives. Ideally, objectives are developed from the initial analysis, described earlier. Figure 13.3 ROI Process Model. ©2009 ROI Institute, Inc. On occasion, the evaluation may stop with Level 3 objectives, excluding the impact objectives that are needed to direct higher levels of evaluation. If application and impact objectives are not available, they must be developed using input from job incumbents, analysts, project developers, subject-matter experts, facilitators, and on-the-job team leaders. Three simple planning documents are developed next: the data collection plan, the ROI analysis plan, and the project plan. These documents should be completed during evaluation planning and before the evaluation project is implemented— ideally, before the program is designed or developed. Figure 13.4 shows a completed data collection plan for a project undertaken to reduce bus drivers’ absenteeism in a major city. This document provides a place for the major elements and
  • 3. issues regarding data collection, described in the next section. This planning document also captures information on key items that are necessary to develop the actual ROI calculation—all described in the data analysis section. The final plan developed for the evaluation planning phase is a project plan. A project plan consists of a description of the project and brief details, such as duration, target audience, and number of participants. It also shows the timeline of the project, from the planning of the study through the final communication of the results. This plan becomes an operational tool to keep the project on track. Most of the decisions regarding the process are made as these planning tools are developed. The remainder of the project becomes a methodical, systematic process of implementing the plan. Collecting Data Data collection is central to the ROI methodology. Both hard data (representing output, quality, cost, and time) and soft data (including job satisfaction and customer satisfaction) are collected. Data are collected using a variety of methods, listed in Figure 13.5. These are commonly used methods. This figure also shows the methods which are appropriate for the different levels of data. The important challenge in data collection is to use a method or methods appropriate for the setting and the specific program, within the time and budget constraints of the organization. Figure 13.4 shows the methods, timing, and sources for data collection in the absenteeism reduction project. Additional details on data collection can be found in other references (Phillips & Stawarski, (2008). Figure 13.4 Data Collection Plan. *Three questions address how the policy works (employee must
  • 4. answer two correctly); two address employees’ role (employee must answer one correctly). 2009 ROI Institute, Inc. Figure 13.5 Data Collection Methods. ©2009 ROI Institute, Inc. Data Analysis Data analysis involves all steps from data collection to reporting. Five distinct steps are always addressed: isolating the effects of the project, converting data to monetary values, tabulating project costs, calculating ROI, and identifying intangible benefits. Each is briefly discussed next. Isolating the Effects of the Project. An often overlooked issue in evaluation is the process of isolating the effects of the project. In this step, specific strategies are explored that determine the amount of output performance directly related to the project. This step is essential because many factors will influence performance data. The specific strategies of this step pinpoint the amount of improvement directly related to the project, resulting in increased accuracy and credibility of ROI calculations. The following techniques have been used by organizations to tackle this important issue: · Control groups · Trend line analysis · Forecasting models · Participant estimates · Managers’ estimates · Senior management estimates · Experts’ input · Customer input Collectively, these techniques provide a comprehensive set of tools to handle the important and critical issue of isolating the effects of projects. Additional information on methods of
  • 5. isolation are available in other references (Phillips & Aaron, 2008). Converting Data to Monetary Values. To calculate the return on investment, Level 4 impact data are converted to monetary values and compared with project costs. This requires that a value be placed on each unit of data connected with the project. Many techniques are available to convert data to monetary values. The specific technique selected depends on the type of data and the situation. The techniques include: · Use of output data, as standard values · Cost of quality, usually as a standard value · Time savings converted to participants’ wage and employee benefits · An analysis of historical costs · Use of internal and external experts · Search of external databases · Use of participant estimates · Use of manager estimates · Soft measures mathematically linked to other measures This step in the ROI model is important and absolutely necessary in determining the monetary benefits of a project. The process is challenging, particularly with soft data, but can be methodically accomplished using one or more of these strategies. Additional information on data conversion techniques are available in other works (Phillips & Burkett, 2008). Tabulating Project Costs. An important part of the ROI equation is the calculation of project costs. Tabulating the costs involves monitoring or developing all the related costs of the project targeted for the ROI calculation. Among the cost components to be included are · Initial analysis costs · Cost to design and develop the project · Cost of all project materials · Costs for the project team · Cost of the facilities for the project
  • 6. · Travel, lodging, and meal costs for the participants and team members · Participants’ salaries (including employee benefits) · Administrative and overhead costs, allocated in some convenient way · Evaluation costs The conservative approach is to include all these costs so that the total is fully loaded. Calculating the Return on Investment. The return on investment is calculated using the program benefits and costs. The benefits/costs ratio (BCR) is calculated as the project benefits divided by the project costs. In formula the BCR is; The return on investment is based on the net benefits divided by project costs. The net benefits are calculated as the project benefits minus the project costs. In formula form, the ROI is This is the same basic formula used in evaluating other investments, in which the ROI is traditionally reported as earnings divided by investment. Additional information on costs and ROI are contained in other works (Phillips & Zuniga, 2008). Identifying Intangible Benefits In addition to tangible, monetary benefits, intangible benefits (those not converted to money) are identified for most projects. Intangible benefits include items such as: · Increased employee engagement · Increased organizational commitment · Improved teamwork · Improved customer service · Fewer complaints · Reduced conflict During data analysis, every attempt is made to convert all data to monetary values. All hard data—such as output, quality, and time—are converted to monetary values. The conversion of soft data is attempted for each data item. However, if the process used for conversion is too subjective or inaccurate and the
  • 7. resulting values lose credibility in the process, then the data are listed as an intangible benefit with the appropriate explanation. For some projects, intangible, nonmonetary benefits are extremely valuable and often carry as much influence as the hard data items. Reporting The final step in the ROI process model is reporting—a critical step that is often deficient in the degree of attention and planning required to ensure its success. The reporting step involves developing appropriate information in impact studies and other brief reports. Careful planning to match the communication method with the audience is essential to ensure that the message is understood and that appropriate actions follow.