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Psychiatry and Behavioral Sciences, 2017 Analysis of Covariance (ANCOVA) is a statistical method which is an extension of ANOVA that provides a way of statistically controlling the linear effect of variables one does not want to examine in a study.
Selim Kılıc
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Statistical notes for clinical researchers: analysis of covariance (ANCOVA) [PDF]
Restorative Dentistry & Endodontics, 2018 Hae-Young Kim
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Winter Wheat Cultivar Recommendation Based on Expected Environment Productivity
Agriculture, 2021 We used 5 years of data from multi-environmental trials conducted in Poland to assess average winter wheat yield based on selected environmental factors to recommend cultivars depending on their performance in environments of different productivity ...
Marzena Iwańska +3 more
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Applied Sciences, 2022 Background: Cognitive behavioral therapy (CBT) can be a useful treatment option for various mental health disorders. Modern advances in information technology and mobile communication enable delivery of state-of-the-art CBT programs via smartphones ...
Oleksandr Sverdlov, Yevgen Ryeznik
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Indian Journal of Dental Research, 2023 Background: In randomised controlled trials (RCTs), the application of a test of significance to compare the baseline differences between the intervention groups is a common practice, though it has been condemned by many researchers.
Mahesh R. Khairnar +5 more
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The impact of different approaches to the teaching of Grade 5 fraction by three experienced teachers
South African Journal of Childhood Education, 2021 Background: Many teachers for different reasons recognise the teaching of fraction as a challenge. This research explored the teaching of fraction in Grade 5 by three experienced teachers (Ben, Greg and Will) in KwaZulu-Natal province, South Africa. Aim:
Ifunanya J.A. Ubah
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A Comparison of Analysis of Covariate-Adjusted Residuals and Analysis of Covariance [PDF]
Communications in Statistics - Simulation and Computation, 2009 Various methods to control the influence of a covariate on a response variable are compared. In particular, ANOVA with or without homogeneity of variances (HOV) of errors and Kruskal-Wallis (K-W) tests on covariate-adjusted residuals and analysis of covariance (ANCOVA) are compared.
Elvan Ceyhan, Carla L. Goad
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Nonparametric analysis of covariance [PDF]
The Annals of Statistics, 2001 In the problem of testing the equality of k regression curves from independent samples we discuss three methods using nonparametric estimation techniques of the regression function. The first test is based on a linear combination of estimators for the integrated variance function in the individual samples and in the combined sample. The second approach
Dette, Holger, Neumeyer, Natalie
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Sensors, 2022 Programming is a skill that requires high levels of logical thinking and problem-solving abilities. According to the Curriculum Guidelines for the 12-Year Basic Education currently implemented in Taiwan, programming has been included in the mandatory ...
Chi-Yi Tsai, Yu-Cheng Lai
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Brain Sciences, 2021 It is widely acknowledged that obesity is a growing public clinical issue involving both physical and psychological well-being. Nevertheless, the relationship between psychological features and weight gain is still unclear. Although emotional eating (EE)
Ines Villano +11 more
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