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Research Design

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Research Design Week 4 Lecture 1 Agenda Triangulation What is research design Two broad categories of research methodology The data source Measurement instruments ... – PowerPoint PPT presentation

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Title: Research Design


1
Research Design
  • Week 4 Lecture 1

2
Agenda
  • Triangulation
  • What is research design
  • Two broad categories of research methodology
  • The data source
  • Measurement instruments
  • Ethical issues

3
Questions about assignment 1
  • Where to find the research problem?
  • What do I expect to review?
  • How do I write the review?
  • Word limit?

4
Triangulation
  • Triangulation of measures
  • Triangulation of observers
  • Triangulation of theory
  • Triangulation of method

5
Examples of triangulation
  • Topic The amount of violence in popular
    Hollywood films
  • Measures
  • Observers
  • Theory
  • Method

6
What is research design
  • A detailed blueprint specifying how the research
    will be carried out
  • Basic format of all research process
  • General criteria for a research project
  • Universality
  • Could be carried out by any competent person
  • Replication
  • Control
  • Measurement
  • Data can be measured

7
Quantitative and qualitative orientation
  • Different research problems
  • gtDifferent research design and method
  • Collection of different types of data
  • Different interpretation of data
  • Two broad categories
  • Quantitative research
  • Used to answer questions about relationships
    among measured variables with the purpose of
    explaining, predicting and controlling phenomena
  • Qualitative research
  • Used to answer questions about the complex nature
    of phenomena, often with the purpose of
    describing and understanding the phenomena from
    the participants point of view

8
Research Process
  • Quantitative
  • Concepts are in the form of distinct variables
  • Relationships are expressed in hypotheses
  • Measures are systematically created before data
    collection and are standardized
  • Data are in the form of numbers from precise
    measurement
  • Procedures are standard, and replication is
    assumed
  • Qualitative
  • Concepts are in the form of themes, motifs,
    generalizations, and taxonomies
  • Measures are created in an ad hoc manner and are
    often specific to the individual setting or
    researcher
  • Data are in the form of words and images from
    documents, observations and transcripts
  • Procedures are particular and replication is very
    rare

9
Types of Analysis
  • Quantitative
  • Findings are typically expressed in terms of
    relationships that are presented in tables and
    graphs
  • Qualitative
  • Findings are typically expressed by quoting
    interviews or relating experiences the researcher
    has had in the field
  • Which approach should I use?
  • Guidelines from practical application on page
    112 of textbook

10
Validity of the methodology
  • Internal validity
  • The extent to which its design and the data that
    it yields allow the researcher to draw accurate
    conclusions about cause and effect and other
    relationships within the data
  • Concerns
  • Lack of control
  • Reactivity Hawthorne effect
  • Experimenter expectancy
  • 3 cases from textbook page 104

11
Validity of the methodology (cont)
  • External validity
  • The extent to which the conclusions drawn can be
    generalized to other context
  • Real-life setting
  • A representative sample
  • Replication In a different context
  • Validity in qualitative research
  • triangulation

12
Planning for data collection
  • Four fundamental questions about the data
  • What data are needed?
  • Where are the data located?
  • How will the data be secured?
  • How will the data be interpreted?

13
Data source
  • Secondary data
  • Information collected by others for a purpose
    other than the project at hand, but may be useful
    for the project
  • Primary data
  • Original data collected for the purpose of the
    research problem
  • Observation, questionnaire, interview and tape
    recording, experiment results

14
Use of secondary data
  • Answering research questions or solving some or
    all of the research problems
  • Helping in problem formulation
  • Providing benchmarking measures and other
    findings that can be compared later on with the
    results of the study at hand
  • Building and testing analytical (mathematical,
    econometric) models

15
An example of data source
  • From this weeks paper
  • last-minute bidding and the rules for ending
    second-price auctions evidence from eBay and
    Amazon auction by Roth A. and Ockenfels A.
  • What types of data were collected in the study?
  • How did the authors use those data for?

16
Where to find secondary data
  • Sources may be internal or external
  • Internet sites
  • Central and local government studies and report
  • Australian Bureau of Statistics
  • Australian Stock Exchange
  • Commercial research companies selling data
  • Studies and reports of institutions and
    departments such as universities,
    telecommunication departments, marketing and
    other research institutes

17
Measurement instruments
  • Use existing measurement instruments
  • A clock to measure execution time
  • A published personality test to measure a
    persons tendency to be either shy or outgoing
  • Develop our own measurement instruments
  • A survey to assess peoples opinion about welfare
    reform
  • A final exam to test students understanding of a
    certain subjects
  • Determine clearly and definitively the nature of
    the measurement instruments
  • Provide evidence that the the instruments have a
    reasonable degree of validity and reliability for
    the research purpose

18
Validity of measurement instrument
  • Face validity
  • A personal judgment that a measure seems to be
    reasonable.
  • Content validity
  • The extent to which a measure reflects the
    dimension(s) implied by the concept
  • Always in connection with achievement testing

19
Validity of measurement instrument
  • Criterion validity
  • The extent to which the results of a measurement
    instrument correlate with another, presumably
    related measure (criterion)
  • Construct validity
  • The extent to which the measure reflects the
    theoretical concept it is supposed to measure

20
Reliability of measurement instrument
  • Test-retest reliability (stability over time)
  • The extent to which the same instrument yields
    the same result on two different occasions
  • Inter-rater reliability (representative across
    subgroups)
  • The extent to which two or more individuals
    evaluating the same product or performance give
    identical judgments
  • Internal consistency reliability (equivalence
    across indicators)
  • The extent to which all the items with in a
    single instrument yield similar results.

21
Ethical Issues
  • Researchers ethical responsibility to
    respondents
  • Voluntary participation
  • People not be coerced into participating in
    research
  • Informed consent
  • Prospective research participants must be fully
    informed about the procedures and risks involved
    in research and must give their consent to
    participate.
  • Do not place pressure on respondents

22
Ethical Issues (cont)
  • Confidentiality and Anonymity
  • Identifying information will not be made
    available to anyone who is not directly involved
    in the study.
  • Debrief subjects
  • Where experiments or field studies involve
    deception, subjects should have the study
    explained to them after the session

23
Ethical Issue(cont)
  • Researchers responsibility to his or her
    discipline and society
  • Represent research literature fairly
  • Acknowledge all your sources
  • Be aware of potential sources of bias
  • Avoid of falsifying data

24
Summary
  • Triangulation
  • General criteria for a research project
  • Two major types of research design
  • quantitative and qualitative design
  • Two different data sources
  • Find and evaluate measurement instruments
  • Ethical issues
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