Table of Links
3. Experiment Design and Conduct
3.2 Subjects, Tasks and Objects
4.2 Analysis of Variance (ANOVA)
4.4 Effect Size and Power Analysis
5. Experiment Limitations and 5.1 Threats to the Conclusion Validity
5.2 Threats to Internal Validity
5.3 Threats to Construct Validity
5.4 Threats to External Validity
6. Discussion and 6.1 Duration
7. Conclusions and Further Work, and References
5.2 Threats to Internal Validity
These threats concern whether the observed outcomes were due to other factors and not due to the treatment. To avoid these threats, subjects were randomly assigned to the treatments. Latin square design eliminated possible problems with learning effects, boredom or fatigue as the subjects tried different program and tool support. Subjects (pairs and solos) were in the same classroom with equal working conditions, and sitting apart with no interaction.
A possible threat that might have exposed this validity is that subjects knew the experiment, so a competition between pairs and solos could have happened.
Authors:
(1) Omar S. Gómez, full time professor of Software Engineering at Mathematics Faculty of the Autonomous University of Yucatan (UADY);
(2) José L. Batún, full time professor of Statistics at Mathematics Faculty of the Autonomous University of Yucatan (UADY);
(3) Raúl A. Aguilar, Faculty of Mathematics, Autonomous University of Yucatan Merida, Yucatan 97119, Mexico.
This paper is