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Quantitative Research Design Ken N. Meadows, Ph.D. Educational Researcher Teaching and Learning Services

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Page 1: Meadows quant res dese

Quantitative Research Design

Ken N. Meadows, Ph.D.

Educational Researcher

Teaching and Learning Services

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Outline Defining quantitative research design

Non-Experimental designs Descriptive Correlational

Experimental designs Experiments Quasi-experiments

Conclusions…

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Definitions

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Research design: the framework used to conduct the research

Research method: data collection techniques (e.g., document analysis, interview, survey)

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Definitions

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Quantitative research2,6:

Assumptions:

Reality - objective & singular

Researcher - independent from research

Research - value-free, unbiased

Research process – deductive (generate hypotheses from theory), emphasize cause/effect, isolation of variables, context-free, prediction, generalizability

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Definitions

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Quantitative research2,6:

Methods: larger scale (e.g., survey)

Data: quantitative (numbers)

Analysis: statistical

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Definitions

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Qualitative research2,6: Assumptions:

Reality – subjective & multiple (from participants’ perspective)

Researcher – interacts with research

Research – value-laden, biased

Research process – inductive (generate theory from data), emergent variables (identified during research), patterns identified

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Definitions

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Qualitative research2,6:

Methods: smaller scale (e.g., interviews)

Data: qualitative (words)

Analysis: thematic

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Definitions

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Two broad categories of quantitative designs:

Non-experimental Experimental

A major difference - validity of the designs7

Internal validity: extent design can identify causal relationships & rule out alternate explanations of relationships between variables

External validity: extent design allows conclusions to generalize beyond the confines of study

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Definitions

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Non-experimental designs tend to be low in internal validity but higher in external validity

Experimental designs tend to be high in internal validity but lower in external validity

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Non-experimental

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Non-experimental designs:

Descriptive Correlational

Descriptive designs5,7 - identify the characteristics of a phenomenon

Describe the variable under investigation –not examine relationships among variables

For example: LARSN needs assessment (Hoffman, Meadows, & Martin-Gardiner, 2009)

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Non-experimental

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Correlational designs examine relationships among variables under investigation1,5,7

Tend to examine relationships as they exist

Do not isolate & manipulate variables to establish causal relationships as in experimental research

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Non-experimental

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For example, Eron, Huesmann, Lefkowitz, & Walder (1972) examined relationship between preferences for violent television & aggressive behaviour

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Non-experimental

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Cannot make causal statements with correlational research1,5,7

Directionality problem (if X <-> Y, does X ->Y or

Y ->X)

Third variable problem (if X <-> Y, possible

X<-Z->Y)

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Non-experimental

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More complex correlational designs can suggest direction of causality

E.g., Cross-lagged panel correlation design

Eron and colleagues (1972) – collected data at grade 3 &13 and correlated variables between years – found moderate correlation between grade 3 preference for violent tv & grade 13 aggressive behaviour

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Non-experimental

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In groups of 3, please discuss:

Research question you would be interested in researching

Design of your research (i.e., descriptive or correlational)

Data sources for that project

Research methods you would use

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Experimental

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Experimental designs:

Experimental Quasi-experimental

Experiment1,3,5,7 - variable is systematically manipulated (independent variable; IV) to observe effect of manipulation on another variable (dependent variable; DV)

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Experimental

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Experimental control1,3,5,7 – hold extraneous variables constant in experiment to isolate effect of IV on DV

For example, Hopkins & Wilson (2009)

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Experimental

Common experimental design: pre-test/post-test control group design1,3,5,7

Measure Before

Exposure Measure After

Treatment Group

01 X 02

Control Group 03 04

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Experimental

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If change from pre- to post-test for treatment group & not control group (or not as much), change can be attributed to the treatment (assuming proper experimental controls)

Controlling for extraneous variables1,3,5,7:

Participant differences: random assignment of participants to treatment and control groups or matching

Situational differences: hold situations constant

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Experimental Pre-test/Post-test Control Group7 – possible pre-

test influences treatment (threat to external validity)

Post-test only control design7:

Exposure Measure After

Treatment Group

X 01

Control Group 02

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Experimental

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Post-test only control group – groups should be same on DV before treatment because of random assignment

Other threats to external validity for experiments8:

Interaction effect of selection bias and treatment Reactive effects of the experiment

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Experimental

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Quasi-experimental designs5,8: not true experiments because the groups tend to be naturally occurring not groups created by researcher

Try to match participants and control for situational variables as much as possible

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Experimental

Common quasi-experimental design: pre-test/post-test non-equivalent group design8

Measure Before

Exposure Measure After

Treatment Group

01 X 02

Control Group 03 04

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Experimental

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Example: Haffie, Meadows, Dunn, & Graves (2009)

quasi-experimental research higher in external validity than experiments (reflect real life more) but weaker in internal validity than experiments (do not control for all extraneous variables) 8

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Experimental

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In groups of 3, please discuss:

New research question you would be interested in researching

Design of your research (i.e., experimental or quasi-experimental)

Data sources for that project

Research methods you would use

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Questions, comments…

[email protected]

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References

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1. Bordens, K. S. & Abbott, B. B. (2008). Research design and methods: A process approach (7th ed.). Boston: McGraw-Hill.

2. Creswell, J. W. (1994). Research design: Qualitative and quantitative approaches. Thousand Oaks, CA: Sage Publications.

3. Elmes, D. G., Kantowitz, B. H., Roediger III, H. L. (1999). Research methods in psychology (6th ed.). Pacific Grove, CA: Brooks/Cole Publishing Company.

4. Eron, L. D., Huesmann, L. R., Lefkowitz, M. M. & Walder, L. O. (1972). Does television violence cause aggression? American Psychologist, 27, 253-263.

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References

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5. Leedy, P. D., & Ormrod, J. E. (2001). Practical research: Planning and design (7th ed.). Upper Saddle River, N.J.: Merrill Prentice Hall.

6. O'Leary, Z. (2004). The essential guide to doing research. London: Sage.

7. Powell, R. R., & Connaway, L. S. (2004). Basic research methods for librarians (4th ed.). Westport, Conn.: Libraries Unlimited.