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Exploring individual variation in Turkish heritage speakers’ complex linguistic productions: Evidence from discourse markers ...
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LASSO Regression Modeling on Prediction of Medical Terms among Seafarers’ Health Documents Using Tidy Text Mining
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In: Bioengineering; Volume 9; Issue 3; Pages: 124 (2022)
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Linguistic Mathematical Relationships Saved or Lost in Translating Texts: Extension of the Statistical Theory of Translation and Its Application to the New Testament
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In: Information; Volume 13; Issue 1; Pages: 20 (2022)
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Predicting Academic Performance: Analysis of Students’ Mental Health Condition from Social Media Interactions
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In: Behavioral Sciences; Volume 12; Issue 4; Pages: 87 (2022)
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Using Geolocated Text to Quantify Location in Real Estate Appraisal
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Cross-Sectional Analysis of Methods of Computing Partial Correlation Coefficients: A Self-Explained Note With R Syntax
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In: Cross-Cultural Communication; Vol 18, No 1 (2022): Cross-Cultural Communication; 18-31 ; 1923-6700 ; 1712-8358 (2022)
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Abstract:
This paper examines four different methods of computing partial correlation coefficients. These include conventional method, variance-covariance matrix approach, regression residual’s approach, and OLS method. Each of these is fully illustrated with practical examples as well as R syntax. Applicability of each of the methods is discussed in our illustrations. Strength and weakness of each method are extensively detailed. It’s, however, discovered that none of the basic assumptions of partial correlation: linearity, normality, and non-existence of outliers is violated after performing statistical checks on the datasets used. The study, therefore, recommends the best method(s) of computing partial correlation coefficients when at least one variable is held constant, thereby adding more invaluable knowledge to the existing literatures. Finally, the study further recommends the best method in each scenario with illustrative examples as evidences.
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Keyword:
Conventional method; OLS method; Partial correlation; Regression residual’s approach; Variance-covariance matrix method
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URL: http://cscanada.net/index.php/ccc/article/view/12498 https://doi.org/10.3968/12498
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THE EFFECTS OF L2 PRAGMATIC AUTONOMOUS AND CONTROLLED MOTIVATIONS ON ENGAGEMENT WITH PRAGMATIC ASPECT
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In: TEFLIN Journal, Vol 33, Iss 1, Pp 148-172 (2022) (2022)
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Tackling Morphological Analogies Using Deep Learning -- Extended Version
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In: https://hal.inria.fr/hal-03425776 ; 2021 (2021)
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A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
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In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
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Pragmatic Influences on Argument Word Order in Karuk Narrative Texts
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In: Berkeley Papers in Formal Linguistics, vol 3, iss 1 (2021)
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A logistic regression model for predicting child language performance ; Un modèle de régression logistique pour la prédiction du développement langagier chez l'enfant
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In: SIS 2021, 50th Annuale Conference of the Italian Statistical Society" ; https://hal.archives-ouvertes.fr/hal-03318721 ; SIS 2021, 50th Annuale Conference of the Italian Statistical Society", Jun 2021, Pise, Italy (2021)
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Native word order processing is not uniform: An ERP-study of verb-second word order ...
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A multi-method approach to correlate identification in acoustic data: The case of Media Lengua
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 13 ; 1868-6354 (2021)
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The Orange workflow for observing collocation trends ColTrend 1.0
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Which data do elementary school teachers use to determine reading difficulties in their students?
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In: Journal of learning disabilities 54 (2021) 5, S. 349-364 (2021)
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STUDENT ACHIEVEMENT INDICATORS AT DEFENSE LANGUAGE INSTITUTE FOREIGN LANGUAGE CENTER
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Which data do elementary school teachers use to determine reading difficulties in their students? ...
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