e-Articles (Chapter 10)

Here are some full-length research articles that illustrate the use of statistical tests on one or two sample means. To view any article, simply click on its title. (NOTE: No claim is made that these articles are perfect in all respects. By carefully reviewing them, you will hone your skills at being able both to decipher and to critique statistically-based research reports.)

Reach and Effectiveness of a Weight Loss Intervention in Patients With Prediabetes in Colorado

Illustrates the use of a set of matched t-tests to compare 2 samples in terms of mean pretest scores on several demographic and weight variables. Each of these tests was conducted in a 2-tailed manner with alpha = .05. See rows 1, 3, 4, and 5 in the report's only table to see the results of these t-tests.

Interactive Seminars or Small Group Tutorials in Preclinical Medical Education: Results of a Randomized Controlled Trial

In this study, an unpaired t-test was used to compare the test performance of 2 groups of medical students taught differently over a block of material. The main results of this comparison are presented in Table 2.

Does the Mind Map Learning Strategy Facilitate Information Retrieval and Critical Thinking in Medical Students?

In this study, the researchers used an independent-samples t-test to compare the means of 2 groups. In addition, a one-way ANOVA was used to compare the 2 groups. For the t-test results, see the 1st 3 paragraphs of the "Results" section dealing with "Quiz assessment of domain knowledge." For the ANOVA results, see the 2nd, 3rd, and 4th sentences in the 2nd paragraph of the "Sample characteristics" portion of the "Results" section, as well as the final paragraph of "Results."

Web-Based Weapons of Mass Destruction Training for Transit Police

Illustrates the construction of confidence intervals around Cohen's d index of effect size for t-test comparisons of 2 means. See the portions of the "Results" section called "Overall Knowledge Assessment," "WMD Recognition," "WMD Response, and "Follow-up Test."

Minimizing the Source of Nociception and Its Concurrent Effect on Sensory Hypersensitivity: An Exploratory Study in Chronic Whiplash Patients

Before using t-tests as the main statistical tool in this study, the researchers conducted an a priori power analysis to determine how large their samples needed to be. The researchers' discussion of this aspect of their investigation is worth reading, as it contains the terms "effect size," "Type I error," "Type II error," "power," "alpha," "beta," and "clinically meaningful differences." See the "Data Analysis" and "Sample Size" portions of the article's "Methods" section.

If you have seen or authored a research report that you think might help others understand statistical tests on 1 or 2 means, please contact me (shuck@utk.edu) and provide a link to what you have found or written. If I post the link on this page of my website, I promise to give you appropriate credit for first seeing/writing the item you share.

Copyright © 2012

Schuyler W. Huck
All rights reserved.

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