MadeyskiKitchenham.MetaAnalysis.PBRvsCBRorAR data form a set of primary studies on reading methods for software inspections. They were analysed by L. Madeyski and B. Kitchenham ("How variations in experimental designs impact the construction of comparable effect sizes for meta-analysis", 2015 (to be submitted)).

Description

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).

Usage

1

Format

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

Source

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

Examples

1

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