Empirical Strategies Sources Wohlin et al' 2000 - PowerPoint PPT Presentation

1 / 14
About This Presentation
Title:

Empirical Strategies Sources Wohlin et al' 2000

Description:

... results from a quantitative investigation are as they are ... objective is to manipulate one or more variables and control ... between a new method and ... – PowerPoint PPT presentation

Number of Views:32
Avg rating:3.0/5.0
Slides: 15
Provided by: sas571
Category:

less

Transcript and Presenter's Notes

Title: Empirical Strategies Sources Wohlin et al' 2000


1
Empirical StrategiesSources Wohlin et al.
2000
  • Orest Pilskalns
  • CS 521
  • Washington State University Vancouver

2
Two types of Research Paradigms
  • note subject is person taking part in the
    experiment to evaluate an object
  • Quantitative quantifying a relationship or to
    compare two or more groups
  • Testing the effects of a treatment (controlled
    experiment)
  • Looking for cause-effect relationship
  • Promotes comparison and statistical analysis
  • Qualitative concerned with studying objects in
    their natural setting.
  • Find out why the results from a quantitative
    investigation are as they are
  • Discovering causes noticed by subjects in the
    study

3
Example
  • Possible for qualitative and quantitative
    research to investigate same topic but address
    different questions
  • Quantitative investigate how much a new
    inspection method decreases the number of faults
    found in test
  • Qualitative find the source of variations
    between different inspection groups

4
Empirical Strategies Survey
  • Survey investigation performed in retrospect
  • Gather qualitative or quantitative data by
    interview or questionnaires
  • Taking a sample which is representative of a
    population to be studied

5
Empirical Strategies Case Study
  • Case Study use for monitoring projects,
    activities, or assignments
  • Data is collected for specific purpose (tracking
    a specific attribute) use multivariate
    statistical analysis (linear regression and
    principal component analysis)
  • Level of Control lower in Case Study than an
    Experiment
  • Case Study observational study
  • Experiment controlled study

6
Empirical Strategies Experiment
  • Experiments objective is to manipulate one or
    more variables and control all the other
    variables at fixed levels, the effect of the
    manipulation is measured (can apply statistical
    analysis)
  • High Level of control
  • Quasi-Experiment Impossible to perform random
    assignment of the subject to the different
    treatments

7
Example
  • Compare two different methods of inspection
  • Statistical inference are applied with the
    purpose of showing with statistical significance
    that once method is better than the other.

8
Qualitative vs. Quantitative
9
Survey
  • Used when technique or tool already has taken
    place or before it is introduced
  • Aimed at developing generalized suggestions
  • Select variables ahead of time to study
  • Types
  • Descriptive enable assertion about some
    population
  • Explanatory make explanatory claims about a
    population
  • Explorative pre-study to a more thorough
    investigation to assure that important issues are
    not foreseen
  • Data Collection
  • Questionnaires and interviews (paper, email, www)

10
Case Study
  • Conducted to investigate a single entity with in
    a specific time space
  • More suitable of industrial evaluation
  • Samples over variables being sampled, but cannot
    control
  • Harder to interpret
  • Strategies
  • Comparison between a new method and Baseline
  • Sister projects (both should have same
    characteristics)
  • When studying one project or component, randomly
    pick another to study

11
Confounding Factors
  • Makes it impossible to distinguish the effect
    from two factors from each other

12
Experiments
  • Control over environment and want to manipulate
    behavior directly.
  • Involves more than one treatment to compare the
    outcomes
  • Characteristics
  • Confirm theories
  • Confirm conventional wisdom
  • Explore relationships
  • Evaluate the accuracy of a model
  • Validate Measures

13
Experiment process
  • Definition
  • Planning
  • Operation
  • Analysis
  • Presentation

14
Research Strategy Factors
Write a Comment
User Comments (0)
About PowerShow.com