Results for 'analysis of variance (ANOVA)'

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  1.  64
    R. A. Fisher, Lancelot Hogben, and the Origin(s) of Genotype-Environment Interaction.James Tabery - 2008 - Journal of the History of Biology 41 (4):717-761.
    This essay examines the origin of genotype-environment interaction, or G×E. "Origin" and not "the origin" because the thesis is that there were actually two distinct concepts of G×E at this beginning: a biometric concept, or \[G \times E_B\], and a developmental concept, or \[G \times E_D \]. R. A. Fisher, one of the founders of population genetics and the creator of the statistical analysis of variance, introduced the biometric concept as he attempted to resolve one of the main (...)
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  2.  15
    Determinants of Agricultural Intensity Index “Scores” in a Frontier Region: An Analysis of Data From Northern Guatemala. [REVIEW]Avrum J. Shriar - 2005 - Agriculture and Human Values 22 (4):395-410.
    Data on farming systems in Petén, Guatemala, were used to develop an agricultural intensity index. The index can be used to assign an intensity “score” to a given farming system based on the array of practices used by the farmer, each practice’s contribution to production intensity, and the scale at which these practices are used. The scores assigned to 118 farmers in three study areas in Petén were analyzed through analysis of variance (ANOVA) to identify the factors that (...)
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  3.  86
    A Cross-Cultural Examination of the Endorsement of Ethical Leadership.Christian J. Resick, Paul J. Hanges, Marcus W. Dickson & Jacqueline K. Mitchelson - 2006 - Journal of Business Ethics 63 (4):345-359.
    The western-based leadership and ethics literatures were reviewed to identify the key characteristics that conceptually define what it means to be an ethical leader. Data from the Global Leadership and Organizational Effectiveness (GLOBE) project were then used to analyze the degree to which four aspects of ethical leadership – Character/Integrity, Altruism, Collective Motivation, and Encouragement – were endorsed as important for effective leadership across cultures. First, using multi-group confirmatory factor analyses measurement equivalence of the ethical leadership scales was found, which (...)
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  4.  4
    Detecting Zinc Absorption in Contaminated Soils with Tree Species.Seyed Armin Hashemi & Alireza Hosseinzadeh - 2015 - Transactions of the Royal Society of South Africa 70 (2):145-148.
    Phytoremediation is the technology of using plants for decontamination of heavy metals and their accumulation in the different tissues and organs of plants. The contamination resulting from heavy metals is of great significance due to its sustainability in the environment. The absorption of zinc in contaminated soils was studied using one-year Arizona cypress seedlings, which were placed in vases. After the passage of each 55-day time period from the growth of the seedlings, the shoots (leaves and stem), roots and soil (...)
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  5. Can ANOVA Measure Causal Strength?Robert Northcott - 2008 - Quarterly Review of Biology 83 (1):47-55.
    The statistical technique of analysis of variance is often used by biologists as a measure of causal factors’ relative strength or importance. I argue that it is a tool ill suited to this purpose, on several grounds. I suggest a superior alternative, and outline some implications. I finish with a diagnosis of the source of error – an unwitting inheritance of bad philosophy that now requires the remedy of better philosophy.
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  6.  22
    Representatividad Estadística en las Ciencias Sociales (Statistical Representativeness in Social Sciences).M. H. Badii, A. Guillen & J. L. Abreu - 2010 - Daena 5 (2):170-218.
    Palabras claves. Métodos estadísticos, pruebas de hipótesisResumen. Se presentan de forma simple, breve y por medios de los ejemplos prácticos, los métodos estadísticos que sirven para demostrar la representatividad de una, dos o varias muestras basada en los parámetros poblacionales . Se indican la manera de reducir el tamaño del error experimental para aclarar el efecto significativo de los grupos o muestras bajo el interés . Además, se demuestran la forma de eliminar el efecto de las variables auxiliares o colaterales (...)
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