Basic Principles in Experimental Design

Course Description

This course will review basic principles in experimental design and statistics that are useful during graduate studies and beyond. Sessions are geared toward real-life experiences that students are likely to encounter while performing scientific research. The course will also increase professionalism and communication skills

Learning Objectives

Upon completion of the course the student should be able to:

· Avoid common pitfalls in research

· Recognize the important of control groups and data replication for the correct interpretation of results

· Design an experiment with all the appropriate control groups

· Design a set of experiments to test a given hypothesis

· Appraise research studies for their ability to test a hypothesis.

· Recognize the importance of statistics in research

· Discuss basic statistical concepts

· Use the appropriate statistics to analyze data

· Report statistical results appropriately

· Present results in an effective way

· Appraise research studies for their ability to use the appropriate statistics, report statistical results and present results

Syllabus

• Day 1 (Thursday, February 27 from 1:00 - 3:00 in IPEC 1.811 with Drs. Rheault, Henderson, Miller)

  • Power Point

  • Statistical Analysis Chart

  • Data in SPSS format

  • Syntax in SPSS format

  • Output in SPSS format

  • Data, Syntax, and Output in a Word document

• Day 2 (Monday, March 3, from 1:00 - 4:00 in IPEC 1.811 with Dr. Peterson)

  • Experimental Design

• Day 3 (Tuesday, March 4, from 1:00 - 4:00 in IPEC 1.811 with Dr. Henderson)

  • Descriptive Statitics, Z-scores, One Sample t-tests, Independent Samples t-tests, Dependent Samples t-tests

  • Part 1

  • Part 2

  • Part 3

  • Part 4

• Day 4 (Wednesday, March 5, from 1:00 - 4:00 in IPEC 1.811 with Dr. Miller)

  • Power analysis and ANOVA (ppt) (pdf)

  • SPSS Data

  • SPSS Syntax

  • SPSS Ouptut

  • Data, Syntax, and Output in a Word document

  • Cohen's "A Power Primer"

• Day 5 (Thursday, March 6, from 1:00 - 4:00 in IPEC 1.811 with Dr. Miller)

  • Factorial and repeated measures ANOVA

    • SPSS Data

    • SPSS Syntax

    • SPSS Output

    • Data, Syntax, and Output in a Word document

    • ANOVA Tree

    • Link about multiple comparison procedures

• Day 6 (Wednesday, March 12, from 1:00 - 3:30 in IPEC 1.811 with Dr. Rheault)

  • Nonparametric Statistics

  • Test #1

• Day 7 (Wednesday, March 26, from 1:00 - 3:00 in IPEC 1.811 with Dr. Miller)

  • Correlation

  • Simple Regression

  • Multiple Regression

• Day 8 (Thursday, March 27, from 1:00 - 3:00 in BSB 1.360 with Dr. Miller)

  • Multivariate Analyses

    • MANOVA

    • Logistic Regression

    • Survival Analyses

• Day 9 (Wednesday, April 9, from 1:30 - 3:30 in BSB 1.360)

  • Test #2

  • Student Presentations

• Day 10 (Wednesday, April 16, from 9:00 - 10:00 in IPEC 1.811)

  • CANCELLED

• Day 11 (Friday, April 18, from 9:00 - 10:00 in IPEC 1.811)

  • Student Presentations

Please note: If possible, all of Dr. Miller's classes will be in the library computer lab. We are currently trying to see if that class is available.