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1. OMIS 694Advanced ISD Topics Fall 2002
2. What is research? “the process of systematically obtaining accurate answers to significant and pertinent questions by the use of the scientific method of gathering and interpreting information”
Balsley & Clover, in Research for Business Decisions
3. The Scientific Method Become aware that a problem exists
Define the problem
Set forth hypotheses as to cause and/or solutions
Determine what information will be required
Decide which methods will be used in collecting information
Collect information or evidence
Compile findings in systematic form
Analyze findings to determine whether they substantiate or eliminate hypotheses
Write the final research report
4. Alternative: What is research? “activities undertaken to increase knowledge in an area of study”
anonymous
5. Why do we do research? To get information
To gain understanding
To answer a question
To assist in evaluating options
To predict outcomes
6. How do we do research? Select & define a problem
research question
purpose of the research
Execute the research procedures
methodology
data collection
subjects
Analyze the data
Draw & state conclusions
7. Research Methodologies Case Study
Field Study
Field Experiment
Laboratory Experiment
Conceptual/Normative Research
Others
Basic & Applied Research
Surveys
Action Research
8. Case Study Intensive evaluation of small sample of entitles such as groups, organizations, or systems
Purpose: explanation, description, hypothesis generation
Multiple means of data collection
No controls of experimental phenomena
9. Field Study An ex post facto method of evaluating organizational systems
Purpose: Description, hypothesis generation or hypothesis testing
Data Collection: questionnaires, interviews
No experimental variables are manipulated
10. Field Experiment Experimental manipulation of one or more independent variables while confounding variables are controlled
Purpose: To observe the effect of the independent variable(s) in a natural setting, typically evaluated by hypothesis testing
Many types of data collection possible
11. Lab Experiment Research takes place in a researcher-created setting with researcher manipulation of independent variable(s) and a high degree of control
Purpose: Hypothesis testing
Many types of data collection possible
12. Conceptual/Normative Non-empirical (no data) research
Based on experience, opinion, or synthesis of existing literature
Examples
Frameworks
Description of an organization’s experience with a particular system
13. Goals of Research Design Right issues
Correct approach
methodology
experimental design
subject/site/task/measures
Reliability & validity of results
Valid conclusions
14. Steps in Designing Research Study Research question
Hypotheses
Variables
Methodology
Data Collection Methods
who?
how?
Data Analysis Methods
15. Writing a Research Question Is it meaningful?
Is it understandable?
Is it researchable?
Does the question become moot if you get opposite results?
16. Developing Research Hypotheses An hypothesis is a tentative explanation for certain behaviors, phenomena, or events that have occurred or will occur
The researcher does not set out to “prove” the hypothesis but rather collects data that support the hypothesis
Hypotheses should be based on theory, previous research, or observation of actual events
17. Developing Research Hypotheses Hypotheses should state as clearly and concisely as possible the expected relationship (or difference) between two variables in operational, measurable terms
Hypotheses must be testable
18. Developing Research Hypotheses A general model for stating hypotheses is:
S’s who get X do better on Y than S’s who don’t get X (or get some other X)
Research hypotheses are stated in declarative form (directional or non-directional)
Statistical hypotheses are stated in null form (no difference)
19. Research Constructs vs. Variables Constructs are the basic concepts that we are examining
user satisfaction
decision making
software quality
Variables are the measurable values that represent the constructs
20. Types of Variables Dependent variables
Independent variables
experimental: manipulated by researcher
quantitative
qualitative
Extraneous variables
any factors other than those under study that could have an affect on the dependent variable
21. Types of Variables Intervening VariableInd. Var. --> Inter. Var. --> Dep. Var.
Moderating VariableInd. Var. ------------------> Dep. Var. Mod. Var.
22. Measurement Instruments Using existing vs. developing new
Methods of measurement
Closed vs. open ended questions
Ranking & comparing
Scales
23. Scales nominal
ordinal
interval
ratio
Likert
semantic-differential
24. Selection of Sample/Subjects Steps
Define population
Determine sample size
Select sample
Importance of sample selection
Error vs. bias
25. Sampling Techniques Random sampling
Stratified random sampling
Cluster sampling
Systematic sampling
Convenience sampling
Judgmental sampling
Quota sampling
26. Validity Internal Validity
External Validity
Statistical conclusion Validity
Construct Validity
Face Validity
27. Internal Validity Threats
history
maturation
sensitization
instrumentation
statistical regression
selection
mortality
28. External Validity Threats
selection of sample
selection of setting
selection of tasks
interaction of treatments
29. Statistical Conclusion Validity Threats
small sample size
measures with low reliability
30. Construct Validity Threats
too few measures
wrong or poorly defined measures
31. Face Validity Threats
results contrary to theory or norms
low credibility of methods
32. Statistical Power Statistical Power = the probability that a statistical test will correctly reject a null hypothesisHo No differenceHa Difference
34. Statistical Power Determinants of Power
alpha
sample size
effect size
Increasing Statistical Power
increasing sample size
using more powerful statistical tests
random sampling
MAXMINCON
No significance does not equal no effect
35. MAX MIN CON MAXIMIZE differences between the treatments (effect size)
MINIMIZE error (quality control)
CONTROL extraneous variation