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A hypertext-based tutorial with links to the Web for teaching statistics and research methods.

C Koch1, J Gobell

  • 1Department of Psychology, George Fox University, Newberg, OR 97132-2697, USA. ckoch@georgefox.edu

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc
|September 25, 1999
PubMed
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This online tutorial improves students' accuracy and confidence in research design and statistics. It enhances problem-solving skills for data analysis and presentation.

Area of Science:

  • Educational Technology
  • Statistics Education
  • Research Methodology

Background:

  • Students often struggle to connect research design principles with appropriate statistical analyses.
  • Effective data visualization is crucial for communicating study findings but can be challenging for learners.
  • Traditional teaching methods may not adequately integrate these interconnected concepts.

Purpose of the Study:

  • To introduce an online tutorial designed to teach research design and statistics.
  • To demonstrate the relationship between scales of measure, research design, statistical analysis, and data graphing.
  • To aid students in selecting appropriate statistical methods and presenting results effectively.

Main Methods:

  • Development and implementation of an interactive online tutorial.

Related Experiment Videos

  • Assessment of student decision-making accuracy regarding research design and statistics.
  • Evaluation of student confidence and ease of decision-making using the tutorial.
  • Analysis of the tutorial's impact on subsequent problem-solving abilities.

    • Main Results:

    • Students using the tutorial showed increased accuracy in choosing appropriate research designs and statistical analyses.
    • Tutorial users reported higher confidence and perceived greater ease in making design and statistics decisions.
    • Repeated practice with the tutorial correlated with improved problem-solving skills in new scenarios.
    • Initial findings suggest a positive impact on learning research design and statistical concepts.

    Conclusions:

    • The online tutorial is an effective tool for enhancing student understanding and application of research design and statistics.
    • Integrating design, analysis, and graphing within a single learning module improves learning outcomes.
    • The tutorial offers a promising approach for improving statistics and research design education.