مجلة العلوم الاجتماعية والإنسانية
Volume 15, Numéro 3, Pages 296-312
2022-12-31
Authors : Mizab Manel .
Novice researchers sometimes select ready-made scales or rubrics and implement them to their studies. However, these tools are designed in certain contexts and to certain populations, which determine the variables that best fit the status quo. Yet, randomly selecting variables is not adequate in research, for they should be grouped according to their commonalities to avoid repetition, redundancy and inconsistency. A statistical technique that facilitates such grouping is Factor Analysis (FA). This paper, however, addresses exploratory FA, particularly Principal Components Analysis (PCA), which is widely used to dissect all variances between suggested variables and to reduce their huge number into factors. Thus, the present paper illustrates how to conduct PCA from (a) safety checks, to (b) constructing factors from variables, to finally (c) naming the factors.
Factor analysis ; PCA ; research ; variables
بوطورة حنان
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منصوري سميرة
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ص 377-399.
El Bachari Khalida
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pages 231-250.
Tamboli Kruti
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Amin J. A.
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pages 120-129.
Derouag Mounira
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Sahli Fatiha
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pages 715-728.