reproducer (version 0.4.0)

KitchenhamEtAl.CorrelationsAmongParticipants.Reggio15SSM: KitchenhamEtAl.CorrelationsAmongParticipants.Reggio15SSM data illustrate correlations between results from individual participants in a family of two cross-over experiments conducted by Reggio et al: [1] G. Reggio, F. Ricca, G. Scanniello, F. D. Cerbo, and G. Dodero,"On the comprehension of workflows modeled with a precise style: results from a family of controlled experiments". Software and Systems Modeling, vol. 14, pp. 1481<U+2013>1504, 2015. The experiments assess whether the level of formality/precision in workflow model influences comprehension. If you use this data set please cite: [1] G. Reggio, F. Ricca, G. Scanniello, F. D. Cerbo, and G. Dodero, "On the comprehension of workflows modeled with a precise style: results from a family of controlled experiments". Software and Systems Modeling, vol. 14, pp. 1481<U+2013>1504, 2015. [2] Barbara Kitchenham, Lech Madeyski, Giuseppe Scanniello and Carmine Gravino, "The Importance of the Correlation between Results from Individual Participants in Crossover Experiments" (to be submitted as of 2020).

Description

KitchenhamEtAl.CorrelationsAmongParticipants.Reggio15SSM data illustrate correlations between results from individual participants in a family of two cross-over experiments conducted by Reggio et al: [1] G. Reggio, F. Ricca, G. Scanniello, F. D. Cerbo, and G. Dodero,"On the comprehension of workflows modeled with a precise style: results from a family of controlled experiments". Software and Systems Modeling, vol. 14, pp. 1481<U+2013>1504, 2015. The experiments assess whether the level of formality/precision in workflow model influences comprehension. If you use this data set please cite: [1] G. Reggio, F. Ricca, G. Scanniello, F. D. Cerbo, and G. Dodero, "On the comprehension of workflows modeled with a precise style: results from a family of controlled experiments". Software and Systems Modeling, vol. 14, pp. 1481<U+2013>1504, 2015. [2] Barbara Kitchenham, Lech Madeyski, Giuseppe Scanniello and Carmine Gravino, "The Importance of the Correlation between Results from Individual Participants in Crossover Experiments" (to be submitted as of 2020).

Usage

KitchenhamEtAl.CorrelationsAmongParticipants.Reggio15SSM

Format

A data frame with 78 rows and 9 variables:

ExperimentID

<fct>|ExperimentID: A unique identifier for each of the three experiments in the data set.

ParticipantID

<fct>|Participant ID: An identifier for each participant, unique for a specific experiment.

SequenceGroup

<fct>|Experimental Sequence Group: A , B , C, D

System

<fct>|Software systems used in the experiment: PO, a system to process orders for an online shop. DM, a system to manage an online document review process.

Period

<fct>|Time period of the cross-over experiment: 1 or 2

Treatment

<fct>|Experimental Treatment:

Comprehension

<dbl>|Dependent variable: The comprehension level obtained by each participant.

Time

<dbl>|Dependent variable: The time [min] taken by each participant to complete the comprehension task.

CrossOverID

<fct>|CrossOver category: For 4 group crossover designs, the crossover category specifies the matching pairs of sequence groups, CO1 and CO2. For a 2 group crossover, the category is set to CO1 only

Examples

# NOT RUN {
KitchenhamEtAl.CorrelationsAmongParticipants.Reggio15SSM

# }