Authored by Dr. Laura Little of the University of Washington, this tutorial shows students how to conduct multiple comparisons in SPSS. This html-based tutorial provides extensive screen shots and an example data set. Topics covered in the tutorial include: one way ANOVA, preplanned contrasts, Bonferroni, Post Hoc Tukey's HSD, and Scheffe's multiple contrasts.
Type of Material:
Tutorial
Recommended Uses:
This tutorial would be useful as a review of material and also as a practice opportunity. It could be assigned for homework or as in-class group work.
Technical Requirements:
The site can be surfed effectively in all browsers.
Identify Major Learning Goals:
• Students will learn how to use SPSS to conduct multiple comparisons.
Target Student Population:
The tutorial is for anyone trying to understand and practice multiple comparisons. Students in their first or advanced statistics courses as well as students in research methods courses will find this tutorial beneficial.
Prerequisite Knowledge or Skills:
A basic understanding of elementary statistics is needed, and comprehension of comparisons would be helpful. Access to SPSS is needed to run the comparisons.
Content Quality
Rating:
Strengths:
• The site clearly explains, with examples, multiple comparisons in SPSS, including different post hoc tests.
• The tutorial contains step by step instructions on how to use SPSS to run ANOVA and related tests. The site contains screenshots for each of these steps and clear and accurate explanations of the tests that are described. The example that is given is relevant to the intended psychology course, and the analysis that is given is appropriate.
Concerns:
None.
Potential Effectiveness as a Teaching Tool
Rating:
Strengths:
• The lesson flows well starting with the basics of ANOVA and progressing through the more technical aspects of the statistical test. Although this is clearly part of the author’s specific course notes, this site can easily be used as a supplement for any lesson that asks students to use SPSS to conduct an ANOVA test.
• After reviewing the basics of multiple comparisons in a class, students are provided with a tutorial to which they can return and run SPSS comparisons with given data. It should reinforce conceptual understanding as well as the use of SPSS.
Concerns:
• It would be helpful to add an introduction that describes the student learning outcomes, including which statistical tests will be covered.(Instructors will want to develop this information for their students.)
Ease of Use for Both Students and Faculty
Rating:
Strengths:
• Any student can easily access this site and will have no problems reading through the presentation. The site is easy to follow and includes helpful descriptions and screen shots from SPSS. The different procedures are well labeled.
• The author also has made the data available with an easy download.
Concerns:
• The formatting appear to work best when using a smaller screen. With a middle to large-sized screen, some descriptions are out of place (e.g., the labels inside the boxes leak outside of the boxes, making them difficult to read).
Other Issues and Comments:
An excellent tutorial on multiple comparisons.
Creative Commons:
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