Data Analysis within a Scientific Research Methodology

Fatima Ezzahra Chadli, Driss Gretete, Aniss Moumen

2021

Abstract

After identifying a problem, formulating a hypothesis, and developing a conceptual model, a crucial step emerges in the researcher's approach towards collecting and analyzing data, which allows the use of statistical techniques and the interpretation of data and results. This article sketch out the main steps of data analysis within a scientific research methodology from a sampling strategy, to exploratory and confirmatory analysis

Paper Citation

in Harvard Style

Chadli F., Gretete D. and Moumen A. (2021). Data Analysis within a Scientific Research Methodology. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 148-153. DOI: 10.5220/0010730000003101

in Bibtex Style

@conference{bml21,
author={Fatima Ezzahra Chadli and Driss Gretete and Aniss Moumen},
title={Data Analysis within a Scientific Research Methodology},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={148-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010730000003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Data Analysis within a Scientific Research Methodology
SN - 978-989-758-559-3
AU - Chadli F.
AU - Gretete D.
AU - Moumen A.
PY - 2021
SP - 148
EP - 153
DO - 10.5220/0010730000003101