Ian Gregory: An analysis of familial data on psychiatric patients: parental age, family size, birth order, and ordinal position. From British Journal of Preventive & Social Medicine, Vol. 12, No. 1; 01 1958. [PDF]
Menninger William C.
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ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
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Polychoric Correlation With Ordinal Data in Nursing Research. [PDF]
Kiwanuka F +4 more
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ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
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Factor Retention Using Machine Learning With Ordinal Data. [PDF]
Goretzko D, Bühner M.
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On Certain Indices for Ordinal Data with Unequally Weighted Classes [PDF]
In this paper, some new indices for ordinal data are introduced. These indices have been developed so as to measure the degree of concentration on the “small” or the “large” values of a variable whose level of measurement is ordinal.
Maravelakis, Petros +4 more
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Doubly Robust-Based Generalized Estimating Equations for the Analysis of\n Longitudinal Ordinal Missing Data [PDF]
José Luiz P. da Silva +2 more
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Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia [PDF]
Yiran Zhang, Kellie J. Archer
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Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
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Kendall transformation brings a robust categorical representation of ordinal data. [PDF]
Kursa MB.
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