This paper presents the research design and methods used, employing data analysis to assess how office workers responded to the feedback provided, and to examine their impact on the energy consumption of their desktop computers.
Two major data analysis methods namely GIS Analysis and Descriptive Analysis were the major employed data analysis.
These employ standard multivariate data analysis methods on the design matrix.
Rich interviews and focus group transcripts were imported and analysed using the computer software program, NVivo (Version10) with grounded theory data analysis methods employed, including initial, intermediate and advanced coding (8).
Diverse data sources are considered within the 'search space' of pharmacovigilance scientists, and respective data analysis methods are employed, all with their qualities and shortcomings, towards more timely and accurate signal detection.
Using this information, data analysis methods can be employed to predict performance when attendance begins to fall, around 70%%.
response, and associated data analysis methods.
Since some of the data analysis methods (e.g., Principal Component Analysis or Support Vector Machines described below) require no missing data, we imputed missing genotypes in the SNP dataset and used it whenever these methods were employed.
The data analysis method employed is structural equation modeling (SEM), a second-generation statistical tool efficient in modeling latent variables (those that cannot be directly measured) and testing the complex relationships among the variables [ 12, 14].
A manual qualitative data analysis method was employed by the lead researcher (L.S).
The cloud system is employed to preprocess the raw data and then output the refined data (e.g., data with uniform format) to make it easier for the data analysis method or system to preform the further analysis work.
