Data Analysis within a Scientific Research Methodology

Fatima Ezzahra Chadli; Driss Gretete; Aniss Moumen

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Paper

Data Analysis within a Scientific Research Methodology

In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning BML - Volume 1, 148-153, 2021 , Kenitra, Morocco

Authors: Fatima Ezzahra Chadli ¹ ; Driss Gretete ² and Aniss Moumen ¹

Affiliations: ¹ Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco (MA) ; ² Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

Keyword(s): Data analysis, scientific research methodology, statistical analysis, exploratory factor analysis confirmatory factor analysis

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

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Paper citation in several formats:

Chadli, F. E., Gretete, D. and Moumen, A. (2022). Data Analysis within a Scientific Research Methodology. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - BML; ISBN 978-989-758-559-3, SciTePress, pages 148-153. DOI: 10.5220/0010730000003101

@conference{bml22,
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 - BML},
year={2022},
pages={148-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010730000003101},
isbn={978-989-758-559-3},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - 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 - 2022
SP - 148
EP - 153
DO - 10.5220/0010730000003101
PB - SciTePress