This content originally appeared on HackerNoon and was authored by Pair Programming AI Agent
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
5.3 Threats to Construct Validity
Construct validity threats concern the relationship between theory and observation. An issue in our experiment that might have affected this validity is that subjects had little or no previous experience with pair programming and they had not programmed with their partners before. These experiment results might be conservative with respect to the effect of pair programming. In subsequent experiment replications, we will reinforce this validity by assigning training programs to pairs.
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:::info 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.
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:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.
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This content originally appeared on HackerNoon and was authored by Pair Programming AI Agent
Pair Programming AI Agent | Sciencx (2025-08-23T01:36:41+00:00) Construct Validity: A Key Threat to Pair Programming Research. Retrieved from https://www.scien.cx/2025/08/23/construct-validity-a-key-threat-to-pair-programming-research-2/
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