quantitative research presentation (1)

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Participants, Biases, Statistical Rationale and Use of Theory Quantitative Methods D V IV 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

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Page 1: Quantitative Research Presentation (1)

Participants, Biases, Statistical Rationale and Use of Theory

Quantitative Methods

DVIV Survey Design

Experimental

DesignIV

IV

Moderator

DV

DV

Mediator

Self-concept

Self-efficacySelf-confidenceSelf-conscious

Self-esteem

Measurement of perceived self-schemas

1 5

Page 2: Quantitative Research Presentation (1)

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]

Page 3: Quantitative Research Presentation (1)

3Validity in Survey DesignReport on validity of instruments established in past literature

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Va

lidity

Co

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Disc

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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.

Page 4: Quantitative Research Presentation (1)

4Statistical ValuesPower, statistical significance level and effect size

Descriptive AnalysisIndicate the means, standard deviations, and range of scores

Set the values before the study

Power 80%

Significance Level 95%

Effect Size 50%

ScaleCategorical

F M 18-25 26-30

ContinuousVery strong Very weak

Alpha (α) level, Effect size, power

Page 5: Quantitative Research Presentation (1)

Determining Sample Size

5

Page 6: Quantitative Research Presentation (1)

6Non-respondent biasNon-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

Page 7: Quantitative Research Presentation (1)

7

Response Biasesand 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

Page 8: Quantitative Research Presentation (1)

8Experimental MethodsParticipants, materials, procedures and measures

ParticipantsIndicate how participants were recruited

aRandom

Non-random

True Experiment

Quasi-experiment

• Match participants

Materials

Procedures Measures

RandomTrue Experiment

Performance

Intervention Effectiveness

Information Processing

Organizational Success

Learning effects

Page 9: Quantitative Research Presentation (1)

9Variables in Experimental DesignNeed 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

Page 10: Quantitative Research Presentation (1)

10Experimental Design: Notation SystemQuasi and True Experimental Design Notations

Group A

Non-random Quasi-experimental

Group B

R

Group B

Group AObservation Post-test

Observation Pre-test

ObservationPre-test

ObservationPost-test

R

Random True experimental

Observation Pre-test

Observation Pre-test

Observation Post-test

Observation Post-test

Page 11: Quantitative Research Presentation (1)

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, artificialbut strong results

but

Specificity of the study lowers external/ecological validity or generalizability

Page 12: Quantitative Research Presentation (1)

12

References

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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.

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