Identify whether each example is either a quasi-experiment or a true experiment.

Research on learning applies various designs which refer to plans that outline how information is to be gathered for testing a hypothesis or theoretical assumption. Research designs are the heart of quantitative research. They include systematic observations, measures, treatments, their random assignment to groups, and time. Accordingly, research designs include identifying the data gathering method(s), the instruments to be used or created for assessment, how the instruments will be administered, and how the information will be organized and analyzed in accordance with the subject to be investigated. Among the various designs to consider in the area of research on learning are

  • Experimental designs

  • Quasi-experimental designs

  • Nonexperimental designs

Each design offers its particular advantages and disadvantages concerning validity, reliability, and feasibility. Although all experiments share common features, their applications vary in accordance with...

This is a preview of subscription content, access via your institution.

Buying options

Chapter

EUR   29.95

Price includes VAT (Singapore)
  • DOI: 10.1007/978-1-4419-1428-6_716
  • Chapter length: 7 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Buy Chapter

eBookEUR   2,675.00Price includes VAT (Singapore)

  • ISBN: 978-1-4419-1428-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Buy eBook

Hardcover BookEUR   2,499.99Price excludes VAT (Singapore)

  • ISBN: 978-1-4419-1427-9
  • Dispatched in 3 to 5 business days
  • Exclusive offer for individuals only
  • Free shipping worldwide
    Shipping restrictions may apply, check to see if you are impacted.
  • Tax calculation will be finalised during checkout
Buy Hardcover Book

Learn about institutional subscriptions

References

  • Bracht, G. H., & Glass, G. V. (1968). The external validity of experiments. American Educational Research Journal, 5(4), 437–474.

    Google Scholar 

  • Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research on teaching. In N. L. Gage (Ed.), Handbook of research on teaching (pp. 171–246). Chicago: Rand McNally.

    Google Scholar 

  • Church, R. (2003). Animal learning. In I. B. Weiner, D. K. Freedheim, J. A. Schinka, & W. F. Velicer (Eds.), Handbook of psychology (Research methods in psychology, Vol. 2, pp. 271–288). Huboken, NJ: Wiley.

    Google Scholar 

  • Cook, T. D., & Campbell, D. T. (1979). Quasi-experimentation: Design and analysis issues for field settings. Chicago: Rand MacNally.

    Google Scholar 

  • Cox, D. R. (1990). Role of models in statistical analysis. Statistical Science, 5, 169–174.

    CrossRef  Google Scholar 

  • Creswell, J. W. (2005). Educational research. Planning, conducting, and evaluating quantitative and qualitative research (2nd ed.). Upper Saddle River, NJ: Pearson.

    Google Scholar 

  • Fisher, R. A. (1925). Statistical methods for research workers. Edinburgh: Oliver & Boyd.

    Google Scholar 

  • Kirk, R. E. (2003). Experimental design. In I. B. Weiner, D. K. Freedheim, J. A. Schinka, & W. F. Velicer (Eds.), Handbook of psychology (Research methods in psychology, Vol. 2, pp. 3–32). Huboken, NJ: Wiley.

    Google Scholar 

  • Lieberson, S. (1985). Making it count. Berkeley, CA: University of California Press.

    Google Scholar 

  • Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalised causal inference. New York: Houghton Mifflin Company.

    Google Scholar 

  • Wilcox, R. D. (2003). Power: Basics, practical problems, and possible solution. In I. B. Weiner, D. K. Freedheim, J. A. Schinka, & W. F. Velicer (Eds.), Handbook of psychology (Research methods in psychology, Vol. 2, pp. 65–86). Huboken, NJ: Wiley.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Economics and Behavioral Sciences, Department of Education, University of Freiburg, Rempartstr. 11, 3. OG, Freiburg, 79098, Germany

    Prof. Norbert M. Seel

Authors

  1. Prof. Norbert M. Seel

    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Norbert M. Seel .

Editor information

Editors and Affiliations

  1. Faculty of Economics and Behavioral Sciences, Department of Education, University of Freiburg, 79085, Freiburg, Germany

    Prof. Dr. Norbert M. Seel

Rights and permissions

Reprints and Permissions

© 2012 Springer Science+Business Media, LLC

About this entry

Cite this entry

Seel, N.M. (2012). Experimental and Quasi-Experimental Designs for Research on Learning. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_716

What is an example of a quasi

Examples of quasi-experimental studies follow. As one example of a quasi-experimental study, a hospital introduces a new order-entry system and wishes to study the impact of this intervention on the number of medication-related adverse events before and after the intervention.

What is the difference between a quasi

Like a true experiment, a quasi-experimental design aims to establish a cause-and-effect relationship between an independent and dependent variable. However, unlike a true experiment, a quasi-experiment does not rely on random assignment. Instead, subjects are assigned to groups based on non-random criteria.

What is an example of quasi independent?

Physical height may be a quasi-independent variable where people are separated into groups of being very tall, or not. Eye color, hair color, native language, and other initial differences that participants arrive with and cannot be changed but are the focus of the research can be quasi-independent variables.

What are the five types of quasi

These are the posttest only design with nonequivalent groups, the pretest-posttest design with nonequivalent groups, the interrupted time-series design with nonequivalent groups, the pretest-posttest design with switching replication, and the switching replication with treatment removal design.