Skip to main content

Research Designs

  • Reference work entry
  • First Online:
International Encyclopedia of Statistical Science
  • 228 Accesses

Introduction

Research design is a term broadly referring to any plan for gathering data systematically in such a way as to be able to arrive at conclusions. On the subject selection dimension, designs may be experimental, quasi-experimental, or non-experimental. On the measurement dimension, designs may be between-subjects or within-subjects.

Experimental studies are characterized by randomizationof subjects into treatment and control groups. Control groups may receive no treatment or some standard treatment, where “treatment” is exposure to some stimulus. Randomization serves to control for variables which are not included explicitly in the study. In quasi-experimental designs, treatment and comparison groups are not composed of randomized subjects, even if data are gathered through random sampling. In the absence of randomization, control for confounding variables must be accomplished explicitly through statistical techniques. Finally, a design is non-experimental if there is...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,100.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References and Further Reading

  • Bordens K, Abbott BB (2008) Research design and methods: a process approach, 7th edn. McGraw-Hill, New York

    Google Scholar 

  • Cook TD, Campbell DT (1979) Quasi-experimentation: design and analysis issues for field settings. Houghton-Mifflin, Boston

    Google Scholar 

  • Creswell JW (2008) Research design: qualitative, quantitative, and mixed methods approaches, 3rd edn. Sage Publications, Thousand Oaks, CA

    Google Scholar 

  • Leedy P, Ormrod JE (2009) Practical research: planning and design, 9th edn. Prentice-Hall, Upper Saddle River, NJ

    Google Scholar 

  • Levin IP (1999) Relating statistics and experimental design. Sage Publications, Thousand Oaks, CA. Quantitative Applications in the Social Sciences series #125

    Google Scholar 

  • Pedhazur EJ, Schmelkin LP (1991) Measurement, design, and analysis: an integrated approach. Lawrence Erlbaum Assoc, Mahwah, NJ

    Google Scholar 

  • Shadish WR, Cook TD, Campbell DT (2002) Experimental and quasi-experimental designs for generalized causal inference. Houghton-Mifflin, Boston

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this entry

Cite this entry

Toma, R., Garson, G.D. (2011). Research Designs. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_59

Download citation

Publish with us

Policies and ethics