Description Usage Format Source Examples

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 (to be submitted).

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A data frame with 17 rows and 26 variables:

- Study
Name of empirical study

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

- Teams
The number of teams including both, PBR and Control teams

- DesignDesc
Experimental design description: Before-after, Between-groups, Cross-over

- ExpDesign
Experimental design: between-groups (BG), within-subjects cross-over (WSCO), within-subjects before-after (WSBA)

- M_PBR
The average proportion of defects found by teams using PBR

- M_C
The average proportion of defects found by teams using Control treatment: Check-Based Reading (CBR) or Ad-Hoc Reading (AR)

- Diff
The difference between M_PBR and M_C, i.e. Diff = M_PBR - M_C

- Inc
The percentage increase in defect rate detection, i.e. Inc=100*[(M_PBR-M_C)/M_C]

- SD_C_ByAuthors
The standard deviation of the control group values reproted by the original Authors, i.e., obtained from the papers/raw data

- SD_C
The standard deviation of the control group values equals SD_C_ByAuthors for studies for which the data was available OR the weighted average of SD_C_ByAuthors (i.e., 0.169) for studies where SD_C_ByAuthors is missing.

- V_C
The variance of the Control group observations, i.e., the variance obtained from the teams using the Control method V_C=SD_C^2

- V_D
The variance of the unstandardized mean difference D (between the mean value for the treatment group and the mean value for the Control group)

- SD_C_Alt
This is the equivalent of SD_C (the standard deviation of the control group) based on a different variance for the student studies or the practitioner studies depending on the subject type of the study with the missing value.

- V_Alt
The variance of the mean difference in the meta-analysis based on SD_C_Alt

- SS_C
The sum of squares of the Control group values. For within subjects studies SS=V_C*(n-1). For between subjects studies SS=V_C*(n_C-1)

- n_PBR
The number of PBR teams

- n_C
The number of Control (CBR or AR) teams

- ControlType
Type of Control treatment: CRB or AR

- ParticipantsType
Type of participants: Engineers or Students

- TeamType
Type of team: Nominal or Real

- TwoPersonTeamVsLargerTeam
Reflects size of the teams: 2-PersonTeam or LargerTeam

- ArtefactType
The type of artefact: Requirements or Other

- AssociatedWithBasili
Whether study is associated with Basili (the forerunner): Yes or No

- ControlType_Basili
Combined ControlType and AssociatedWithBasili: AH_AssociatedWithBasili, CBR_AssociatedWithBasili, CBR_NotAssociatedWithBasili

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

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reproducer documentation built on July 25, 2017, 1:02 a.m.

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