Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR: Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR data

In reproducer: Reproduce Statistical Analyses and Meta-Analyses

Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR data

Description

Data form a set of primary studies on reading methods for software inspections. They were reported and analysed by M. Ciolkowski ('What do we know about perspective-based reading? an approach for quantitative aggregation in software engineering', in Proceedings of the 3rd International Symposium on Empirical Software Engineering and Measurement, ESEM'09, pp. 133-144, IEEE Computer Society, 2009), corrected and re-analysed by Madeyski and Kitchenham ('How variations in experimental designs impact the construction of comparable effect sizes for meta-analysis' (to be submitted)).

Usage

Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR

Format

A data frame with 21 rows and 7 variables:

Study

Name of empirical study

Ref.

Reference to the paper reporting primary study or experimental run where data were originally reported

Control

Control treatment: Check-Based Reading (CBR) or Ad-hoc Reading (AR)

Within-subjects

Yes - if the primary study used the within-subjects experimental design, No - if the primary study did not use the within-subjects experimental design

Cross-over

Yes - if the primary study used the cross-over experimental design, No - if the primary study did not use the cross-over experimental design

d_ByCiolkowski

d effect size calculated by Ciolkowski

d_ByOriginalAuthors

d effect size as reported by the original authors

Details

If you use this data set please cite: Lech Madeyski and Barbara Kitchenham, 'How variations in experimental designs impact the construction of comparable effect sizes for meta-analysis', 2015.

Source

https://madeyski.e-informatyka.pl/reproducible-research/

Examples

Ciolkowski09ESEM.MetaAnalysis.PBRvsCBRorAR

reproducer documentation built on Oct. 18, 2023, 5:10 p.m.