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Causal Research Design and Techniques

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Title: Causal Research Design and Techniques


1
Causal Research Design and Techniques
  • Week 11

2
Study Materials for Module 9
  • Module 9 of study book
  • Cavana et al. - Ch 12
  • Jennings - Ch 1 pp. 18-19
  • Ch 8 pp. 259
  • Handout Cavana et al. Ch 12
  • Coakes and Steed Ch 6, 7, 19
  • Ch 6 t-tests one-sample t-test repeated
    measures t-test (parametric)
  • Ch 19 Wilcoxon signed rank test p.202
    (non-parametric)
  • Ch 19 Kruskal-Wallis test p.204
    (non-parametric)
  • Ch 7 One-way between groups ANOVA
    (parametric)

3
Lecture overview
  • Causal research design
  • Experiments what are they?
  • Experimental design
  • Quasi-experimental designs
  • True or Good experimental designs
  • Validity internal and external
  • Types of Experiments
  • Ethical issues in experimental research
  • Summary
  • Tutorial

4
Research ProcessCausal Research Design
Exploratory
Descriptive
Causal
5
Causal research design
  • What is it
  • Research in which the major objective is to
    obtain evidence regarding cause-and-effect
    relationships
  • How one variable (independent) effects, or is
    responsible for changes in another variable
    (dependent).
  • If x, then y if then statements
  • Example hypothesis
  • If Yellow Page ads are in colour, then consumers
    attitudes towards the product will be higher than
    if the ad is in black and white

6
Experiments
  • Causal relationship are determined by using the
    technique experiments
  • Experiment - manipulation of an independent
    variable to see how it affects a dependent
    variable, while controlling the effects of
    additional extraneous variables
  • Independent variable researcher has control
    manipulate the variable e.g. level of advertising
    expenditure, display location, price, type of
    product
  • Dependent variable - we have little or no direct
    control over yet we have a strong interest in
    manipulating e.g. market share, sales, level of
    customer satisfaction

7
Experiments
  • Extraneous variables are those that may have
    some effect on a dependent variable but yet are
    not independent variables
  • e.g. brand of fuel effects fuel consumption per
    Km in cars what are the extraneous variables?
  • e.g. type of display in a supermarket effects
    sales of apples - what are the extraneous
    variables?

8
Experimental Designs
  • is a procedure for devising an experimental
    setting such that a change in a dependent
    variable may be attributed solely to the change
    in an independent variable
  • Symbols
  • O - measure of a dependent variable
  • X manipulation, or change, of an independent
    variable
  • R random assignment of subjects (consumers,
    stores, etc) to experimental control
    groups
  • E experimental effect change of the dependent
    variable due to the independent variable

9
Experimental Designs cont
  • Experimental group group of subjects exposed to
    the experimental treatment
  • Control group group of subjects that are not
    exposed to the experimental treatment
  • Treatment factor experimental factor to which
    the subjects are exposed i.e. advertising copy,
    graphic design, price
  • Treatment level groupings within the
    independent variable i.e price 1.29 1.69
    1.99
  • (basic experimental design has only one level of
    the treatment)

10
Experimental Designs cont
  • Pretest measure the dependent variable prior to
    changing the independent variable
  • Posttest measurement of the dependent variable
    is taken after changing the independent variable
  • true or good experimental design isolates
    the effects of the independent variable on the
    dependent variable while controlling for effects
    of any extraneous variables
  • Quasi experimental design
  • Research design that lacks adequate control of
    extraneous variables - some design elements not
    included i.e. pretest, control groups

11
Quasi-experimental designs
  • After-only design changing the independent
    variable (ID) and, after some period of time ,
    measuring the dependent variable (D)
  • One group, before-after design (pre-test and
    post-test design) measure dependent variable
    pre and post treatment
  • After-only with control (post-test only with
    experimental control group) two groups
    experimental control. Treatment applied to E
    and after sometime posttest measure taken of D
    for both groups
  • Pretest Treatment Posttest
  • EG X O1
  • EG O1 X O2
  • EG (R) X O1
  • C (R) O2
  • X - treatment
  • EG - experimental group
  • C control group
  • R random assignment of subjects

12
True or Good experimental designs
  • Before and after with control (pre-test
    post-test experimental control group designs)
  • Solomon four group design (more rigorous
    design)
  • Many more advanced experimental designs
  • Pretest Treatment Posttest
  • EG (R) O1 X O2
  • C (R) O3 O4
  • E (O2 - O1) (O4 O3)
  • (O2 - O1) effect of treatment extraneous
    variables
  • (O4 O3) change in influence of extraneous
    variable
  • EG - experimental group
  • C control group
  • X - treatment
  • R random assignment of subjects
  • E - experimental effect (treatment effect)

13
Validity internal and external
  • An experiment is valid if
  • The observed changes in the dependent variable
    is, in fact, due to the independent variable,
    refers to - Interval validity
  • Threats
  • Selection bias experimental control group to
    be equivalent i.e. age, other relevant
    characteristics (otherwise introduce extraneous
    factors)
  • Instrument - pre post to be the same same
    conditions
  • History effects changes in the environment
    after pretest
  • Maturation effect due to time between pre
    post test changes occur to the subject ie
    bored, tired etc
  • Mortality when one or more subject (units) drop
    out after pretest
  • Others - refer to study notes
  • and

14
Validity internal and external cont
  • If the results of the experiment apply to the
    real world outside the experimental setting.
    refers to - External validity
  • Threats
  • Realism was experiments context conduct
    artificial
  • Selection of subject representative sample of
    the population
  • Generalisability other factors that could cast
    doubt on the experiments results being relevant
    to the real world

15
Types of Experiments
  • Laboratory contrived, artificial setting for
    the purpose of controlling the many possible
    extraneous variables that may affect the
    dependent variable.
  • Achieves high level of internal validity
  • Allows for control of extraneous variables
  • Conducted quickly less expensively than field
    exp.
  • Disadvantage conducted in an artificial setting
  • Field measurements of the dependent variable
    are made on subjects (test units) in their
    natural setting
  • Conducted in natural settings
  • Disadvantages expensive timing consuming
  • Much of the experimentation in marketing,
    conducted as field experiments, is known as test
    marketing

16
Decision points for embarking on an experimental
design (fig 12.6, p. 307
17
Ethical issues in experimental research
  • Cant pressure people to participate
  • Keep subjects safe - free from physical mental
    stress
  • Must explain the procedures
  • Must not deceive subjects as to the true purpose
    of the research
  • Allow subjects to withdraw
  • Confidentiality and privacy
  • Debrief subject fully and accurately after the
    experiment

18
Summary
  • Causal research cause effect relationship
  • Experiment - manipulation of an independent
    variable to see how it affects a dependent
    variable, while controlling the effects of
    additional extraneous variables
  • Experimental Design
  • Quasi experimental design lacks adequate
    control of extraneous variables some design
    elements not included - pretest, control groups
  • True or Good experimental designs - as per
    definition above
  • Validity internal external main threats
  • Types of Experiments lab field
  • Ethical issues specific to experimental research

19
Next Topic
  • Sampling process

20
Tutorial
  • Presentation
  • Class exercises (bring text/Ch 12 Cavana
    et.al to tut)
  • SPSS prac session
  • Coakes and Steed Ch 6, 7, 19
  • Ch 6 t-tests one-sample t-test repeated
    measures t-test (parametric)
  • Ch 19 Wilcoxon signed rank test p.202
    (non-parametric)
  • Ch 19 Kruskal-Wallis test p.204
    (non-parametric)
  • Ch 7 One-way between groups ANOVA
    (parametric)
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