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Participants, Biases, Statistical Rationale and Use of
Quantitative
Methods
D
VIV
Survey Design
Experimental
Design
IV
I
V
Moderator
D
V
DV
Mediator
Self-concept
Self-efficacy
Self-
confidence
Self-conscious
Self-esteem
Measurement of
perceived self-
schemas
1 5
2
Survey and Experimental Designs
Quantitative Methods
[S]
Survey Design
•Generalized results from a sample to the general population
•Economic procedure: Efficient yet effective technique
•Survey can be either cross-sectional or longitudinal to
control for temporal effects
•Survey distribution via mail, internet, phone
•Sampling can be random, convenient or stratified
Experimental Design
•A causal variable, the independent variable (IV), is
manipulated
•Control group present to compare effects
•Takes place in a lab
•Variables are controlled systematically to reduce errors
•Higher internal validity
[E]
3Validity in Survey Design
Report on validity of instruments established in past literature
ContentValidity
ConcurrentValidity
ConstructValidity
ConvergentValidity
DiscriminantValidity
Instrument items
represent the
completeness of
a construct
Ñ
Results concur or
correspond with
respondent’s existing
characteristic to
predict a criterion
Instrument measures
exclusively a
construct it intends to
measure
Measures of various
instruments correlate to
represent a construct
Measures of an instrument
negatively correlate or do
not relate with each other
to represent a construct
F M 18-25 26-30
When using already developed
surveys, obtain permission from
the developers first.
4
Statistical Values
Power, statistical significance level and effect size
Descriptive Analysis
Indicate the means, standard deviations,
and range of scores
Set the
values
before
the study
Power 80%
Significance Level 95%
Effect Size 50%
Scale
Categorical
F M 18-25 26-30
Continuous
Very strong Very weak
Alpha (α) level, Effect size,
power
Determining
Sample Size
5
6
Non-respondent bias
Non-respondents would have answered differently
• Compare respondents and non-respondents traits
• Contact non-respondents to see how they answer
i
q a 1
Infomedia Social Media Be Creative Be Selfi
7
Response Biases
and the strategies to counteract them
Acquiescence bias
Tendency to
agree or select
‘yes’/conforming
answers
Demand characteristics
Responses or
behaviors adjusted
to the purpose of the
research
Extreme responding
Tendency to
choose
continuously either
extreme or neutral
answers
Social desirability bias
Tendency to adopt
a socially desirable
behavior
8
Experimental Methods
Participants, materials, procedures and measures
Participants
Indicate how participants were recruited
a
Random
Non-random
True Experiment
Quasi-experiment
• Match participants
Materials
Procedures Measures
Random
True Experiment
Performance
Intervention
Effectiveness
Information
Processing
Organizational
Success
Learning
effects
9
Variables in Experimental Design
Need to be specified before the experiment
r s q E a c
Control
Variable
Variable held
constant
Mediator
Variable
Explains the
intervening
process between
IV and DV
Manipulated or
Controlled Variable
Independent
Variable (IV)
Measured
Variable
Dependent
Variable (DV)
Confounding
Variable
Moderator
Variable
Moderates the
strength and
direction of a
relationship
Interacting
variable that is
not measured
IV DV
10
Experimental Design: Notation System
Quasi and True Experimental Design Notations
Group A
Non-random  Quasi-experimental
Group B
R
Group B
Group A
Observation
Post-test
Observation
Pre-test
Observation
Pre-test
Observation
Post-test
R
Random  True experimental
Observation
Pre-test
Observation
Pre-test
Observation
Post-test
Observation
Post-test
11
Discussion
Question
Experimenter’s Dilemma:
Discuss the trade-off between internal
and external (ecological) validity.
Which is more important? Explain.
Internal validity= highly controlled setting, artificial
but strong results
but
Specificity of the study lowers
external/ecological validity or generalizability
12
References
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur elementum posuere pretium. Quisque nibh dolor, dignissim
ac dignissim ut, luctus ac urna. Aliquam aliquet non massa quis tincidunt. Mauris ullamcorper justo tristique dui posuere
tincidunt. In nec lacus laoreet orci varius imperdiet sit amet in augue.
Creswell, J. W. (2014). Research Design:
Qualitative, Quantitative and Mixed
Methods Approaches (4th
ed.). Thousand Oaks, CA:
Sage Publications, Inc.
Leary, M. (2012). Introduction to Behavioral
Research Methods (6th
ed.). Boston, MA: Pearson
Education, Inc.
Thanks
for Coming

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Quantitative Research Presentation (1)

  • 1. Participants, Biases, Statistical Rationale and Use of Quantitative Methods D VIV Survey Design Experimental Design IV I V Moderator D V DV Mediator Self-concept Self-efficacy Self- confidence Self-conscious Self-esteem Measurement of perceived self- schemas 1 5
  • 2. 2 Survey and Experimental Designs Quantitative Methods [S] Survey Design •Generalized results from a sample to the general population •Economic procedure: Efficient yet effective technique •Survey can be either cross-sectional or longitudinal to control for temporal effects •Survey distribution via mail, internet, phone •Sampling can be random, convenient or stratified Experimental Design •A causal variable, the independent variable (IV), is manipulated •Control group present to compare effects •Takes place in a lab •Variables are controlled systematically to reduce errors •Higher internal validity [E]
  • 3. 3Validity in Survey Design Report on validity of instruments established in past literature ContentValidity ConcurrentValidity ConstructValidity ConvergentValidity DiscriminantValidity Instrument items represent the completeness of a construct Ñ Results concur or correspond with respondent’s existing characteristic to predict a criterion Instrument measures exclusively a construct it intends to measure Measures of various instruments correlate to represent a construct Measures of an instrument negatively correlate or do not relate with each other to represent a construct F M 18-25 26-30 When using already developed surveys, obtain permission from the developers first.
  • 4. 4 Statistical Values Power, statistical significance level and effect size Descriptive Analysis Indicate the means, standard deviations, and range of scores Set the values before the study Power 80% Significance Level 95% Effect Size 50% Scale Categorical F M 18-25 26-30 Continuous Very strong Very weak Alpha (α) level, Effect size, power
  • 6. 6 Non-respondent bias Non-respondents would have answered differently • Compare respondents and non-respondents traits • Contact non-respondents to see how they answer i q a 1 Infomedia Social Media Be Creative Be Selfi
  • 7. 7 Response Biases and the strategies to counteract them Acquiescence bias Tendency to agree or select ‘yes’/conforming answers Demand characteristics Responses or behaviors adjusted to the purpose of the research Extreme responding Tendency to choose continuously either extreme or neutral answers Social desirability bias Tendency to adopt a socially desirable behavior
  • 8. 8 Experimental Methods Participants, materials, procedures and measures Participants Indicate how participants were recruited a Random Non-random True Experiment Quasi-experiment • Match participants Materials Procedures Measures Random True Experiment Performance Intervention Effectiveness Information Processing Organizational Success Learning effects
  • 9. 9 Variables in Experimental Design Need to be specified before the experiment r s q E a c Control Variable Variable held constant Mediator Variable Explains the intervening process between IV and DV Manipulated or Controlled Variable Independent Variable (IV) Measured Variable Dependent Variable (DV) Confounding Variable Moderator Variable Moderates the strength and direction of a relationship Interacting variable that is not measured IV DV
  • 10. 10 Experimental Design: Notation System Quasi and True Experimental Design Notations Group A Non-random  Quasi-experimental Group B R Group B Group A Observation Post-test Observation Pre-test Observation Pre-test Observation Post-test R Random  True experimental Observation Pre-test Observation Pre-test Observation Post-test Observation Post-test
  • 11. 11 Discussion Question Experimenter’s Dilemma: Discuss the trade-off between internal and external (ecological) validity. Which is more important? Explain. Internal validity= highly controlled setting, artificial but strong results but Specificity of the study lowers external/ecological validity or generalizability
  • 12. 12 References Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur elementum posuere pretium. Quisque nibh dolor, dignissim ac dignissim ut, luctus ac urna. Aliquam aliquet non massa quis tincidunt. Mauris ullamcorper justo tristique dui posuere tincidunt. In nec lacus laoreet orci varius imperdiet sit amet in augue. Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage Publications, Inc. Leary, M. (2012). Introduction to Behavioral Research Methods (6th ed.). Boston, MA: Pearson Education, Inc.