The document discusses the process of problem definition and research proposal development, including identifying a broad problem area, gathering preliminary information, conducting a literature review, defining the problem clearly through a problem statement, and developing a research proposal that outlines the purpose, methodology, and expected outcomes of the study. Key aspects of problem definition covered are determining objectives, understanding the background, isolating the problem, and stating research questions.
Research process notes PPT; By Muthama, Japheth MutindaJapheth Muthama
To get a copy of the slides for free Email me at: japhethmuthama@gmail.com
You can also support my PhD studies by donating a 1 dollar to my PayPal.
PayPal ID is japhethmuthama@gmail.com
Research process notes PPT; By Muthama, Japheth MutindaJapheth Muthama
To get a copy of the slides for free Email me at: japhethmuthama@gmail.com
You can also support my PhD studies by donating a 1 dollar to my PayPal.
PayPal ID is japhethmuthama@gmail.com
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A presentation given at the 2015 EUNIS Congress, held at Abertay University in Dundee, June 2015.
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Link to video used in exercise : http://www.youtube.com/watch?v=AytfuE-wqbA
Link to document with resource list:
http://www.slideshare.net/northavorange/enhancing-at-through-id-techniques-handouts
Rehabilitation professionals classify
needs and identify workable solutions
for people with disabilities on a daily
basis. Unfortunately, many of those
solutions never get beyond the one
person for whom they are made. The
ability to develop solutions that have a
more universal appeal and application
would be a useful tool in the AT
provider’s “tool belt.” Industrial
Designers face such challenges as
a matter of practice. This workshop
will educate participants with regard
to tools and techniques used by
Industrial Designers that can help the
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more universally marketable solution.
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Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
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In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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11. Problem Discovery Problem Selection of
and Definition discovery exploratory research
technique
Sampling
Selection of
exploratory research
technique Probability Nonprobability
Secondary
Experience Pilot Case Collection of
(historical) Data
survey study study data
data Gathering
(fieldwork)
Data
Editing and
Problem definition Processing
and
coding
(statement of data
research objectives) Analysis
Data
Selection of processing
Research Design basic research
method Conclusions
Interpretation
and Report
of
findings
Experiment Survey
Secondary
Laboratory Field Interview Questionnaire Observation
Data Study Report
12. Uncertainty Influences the Type of
Research
CAUSAL OR COMPLETELY ABSOLUTE EXPLORATORY
DESCRIPTIVE CERTAIN AMBIGUITY
13. Problem Discovery and Definition
First step
Problem, opportunity, or monitor operations
Discovery before definition
Problem means management problem
14. “The formulation of the problem is
often more essential than its
solution.”
Albert Einstein
15. Problem Definition
The indication of a specific business decision area that
will be clarified by answering some research questions.
16. Defining Problem Results in
Clear Cut Research Objectives
Symptom Detection
Analysis of
the Situation
Exploratory
Research
(Optional)
Problem Definition
Statement of
Research Objectives
17. The Process of
Problem Definition
Ascertain the Determine unit of
decision maker’s analysis
objectives
Understand Determine
background of relevant variables
the problem
Isolate/identify State research
the problem, not questions and
the symptoms objectives
18. Ascertain i.e. (Establish, Determine)
the Decision Maker’s Objectives
Decision makers’ objectives
Managerial goals expressed in measurable terms.
18
19. The Iceberg Principle
The principle indicating that the dangerous part of many
business problems is neither visible to nor understood
by managers.
22. Understand the Background of the
Problem
Exercising judgment
Situation analysis - The informal gathering of
background information to familiarize researchers or
managers with the decision area.
22
23. Isolate and Identify the Problems,
Not the Symptoms
Symptoms can be confusing
23
24. Examples: Symptoms Can Be Confusing
Twenty-year-old neighborhood swimming association:
Membership has been declining for years.
New water park -residents prefer the expensive water
park????
Demographic changes: Children have grown up
25. Example: Symptoms Can Be Confusing
(cont.)
Problem Definition
Organization Symptoms Based on Symptom True Problem
Twenty-year-old Membership has been Neighborhood Demographic changes:
neighborhood declining for years. residents prefer the Children in this 20-
swimming New water park with expensive water year-old neighborhood
association in a wave pool and water park and have have grown up. Older
major city. slides moved into negative image of residents no longer
town a few years ago. swimming pool. swim anywhere.
26. What Language Is Written on This
Stone Found by Archaeologists?
TOTI
EMUL
ESTO
28. Determine the Unit of Analysis
Individuals, households, organizations, etc.
In many studies, the family rather than the individual is
the appropriate unit of analysis.
28
29. Determine the Relevant Variable
Anything that may assume different numerical values
29
31. Examples of Continuous & Categorical
Variables
Continuous variables -- A continuous variable has numeric values such as 1,
2, 3.14, -5, etc. The relative magnitude of the values is significant (e.g., a value
of 2 indicates twice the magnitude of 1). Examples of continuous variables are
blood pressure, height, weight, income, age, and probability of illness. Some
programs call continuous variables “ordered” or “monotonic” variables.
Categorical variables -- A categorical variable has values that function as
labels rather than as numbers. Some programs call categorical variables
“nominal” variables. For example, a categorical variable for gender might use
the value 1 for male and 2 for female. The actual magnitude of the value is not
significant; coding male as 7 and female as 3 would work just as well. As
another example, marital status might be coded as 1 for single, 2 for married,
3 for divorced and 4 for widowed.
Source: http://www.dtreg.com/vartype.htm
32. Simplified example
(Dependent & Independent Variable)
The independent variable is typically the variable representing the value being manipulated or changed and the
dependent variable is the observed result of the independent variable being manipulated.
– For example:
concerning nutrition, the independent variable of daily vitamin C intake (how
much vitamin C one consumes) can influence the dependent variable of life
expectancy (the average age one attains).
Over some period of time, scientists will control the vitamin C intake in a substantial group of people. One part
of the group will be given a daily high dose of vitamin C, and the remainder will be given a placebo pill (so that
they are unaware of not belonging to the first group) without vitamin C. The scientists will investigate if there is
any statistically significant difference in the life span of the people who took the high dose and those who took
the placebo (no dose). The goal is to see if the independent variable of high vitamin C dosage has a correlation
with the dependent variable of people's life span. The designation independent/dependent is clear in this case,
because if a correlation is found, it cannot be that life span has influenced vitamin C intake, but an influence in
the other direction is possible.
Source:
http://en.wikipedia.org/wiki/Dependent_and_independent_variables#Simplified_example
33. If you do not know where you are going,
any road will take you there.
34. Hypothesis
An unproven proposition, A possible solution to a
problem, Guess.
A hypothesis can be defined as a logically conjectured
relationship between two or more
variables expressed in the form of a testable
statement.
35. Example: XYZ Corporation is a company that is focused on a stable workforce that
has very little turnover. XYZ has been in business for 50 years and has more than
10,000 employees. The company has always promoted the idea that its employees
stay with them for a very long time, and it has used the following line in its recruitment
brochures: "The average tenure of our employees is 20 years." Since XYZ isn't quite
sure if that statement is still true, a random sample of 100 employees is taken and the
average age turns out to be 19 years with a standard deviation of 2 years. Can XYZ
continue to make its claim, or does it need to make a change?
State the hypotheses.
H 0 = 20 years
H 1 ≠ 20 years
Source: http://www.referenceforbusiness.com/management/Gr-Int/Hypothesis-Testing.html
Read more: Hypothesis Testing - levels, examples, definition, type, company, business, Hypothesis testing process http://www.referenceforbusiness.com/management/Gr-
Int/Hypothesis-Testing.html#ixzz12KQAI0sR
37. Broad research Statement of Exploratory
objectives business problem research
(optional)
Specific Specific Specific
Objective 1 Objective 2 Objective 3
Research Design
Results
38. The Process of
Problem Definition
Ascertain the Determine unit of
decision maker’s analysis
objectives
Understand Determine
background of relevant variables
the problem
Isolate/identify State research
the problem, not questions and
the symptoms objectives
39. Research Proposal
A written statement of the research design that includes
a statement explaining the purpose of the study
Detailed outline of procedures associated with a
particular methodology
40. Basic Questions -
Problem Definition
What is the purpose of the study?
How much is already known?
Is additional background information necessary?
What is to be measured? How?
Can the data be made available?
Should research be conducted?
Can a hypothesis be formulated?
41. Basic Questions -
Basic Research Design
What types of questions need to be answered?
Are descriptive or causal findings required?
What is the source of the data?
42. Basic Questions -
Basic Research Design
Can objective answers be obtained by asking people?
How quickly is the information needed?
How should survey questions be worded?
How should experimental manipulations be made?
43. Basic Questions -
Selection of Sample
Who or what is the source of the data?
Can the target population be identified?
Is a sample necessary?
How accurate must the sample be?
Is a probability sample necessary?
Is a national sample necessary?
How large a sample is necessary?
How will the sample be selected?
44. Basic Questions -
Data Gathering
Who will gather the data?
How long will data gathering take?
How much supervision is needed?
What operational procedures need to be followed?
45. Basic Questions -
Data Analysis
Will standardized editing and coding procedures be
used?
How will the data be categorized?
What statistical software will be used?
What is the nature of the data?
What questions need to be answered?
How many variables are to be investigated
simultaneously?
Performance criteria for evaluation?
46. Basic Questions -
Type of Report
Who will read the report?
Are managerial recommendations requested?
How many presentations are required?
What will be the format of the written report?
47. Basic Questions -
Overall Evaluation
How much will the study cost?
Is the time frame acceptable?
Is outside help needed?
Will this research design attain the stated research
objectives?
When should the research be scheduled to begin?
48. Anticipating Outcomes
Dummy tables
Representations of the actual tables that will be in the
findings section of the final report; used to gain a better
understanding of what the actual outcomes of the
research will be.