Academic literature on the topic 'Categorial variables'

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Journal articles on the topic "Categorial variables"

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Gertheiss, Jan, and Gerhard Tutz. "Sparse modeling of categorial explanatory variables." Annals of Applied Statistics 4, no. 4 (2010): 2150–80. http://dx.doi.org/10.1214/10-aoas355.

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Moreno Martínez, Francisco Javier, Antonio Tallón Barranco, and Ana Frank García. "Enfermedad de Alzheimer, deterioro categorial y variables relevantes en la denominación de objetos." Revista de Neurología 44, no. 03 (2007): 129. http://dx.doi.org/10.33588/rn.4403.2006284.

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Sigurd, Bengt. "Using Referent Grammar (RG) in Computer Analysis, Generation and Translation of Sentences." Nordic Journal of Linguistics 11, no. 1-2 (1988): 129–50. http://dx.doi.org/10.1017/s0332586500001785.

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The paper presents Referent Grammar (RG), a version of generalized phrase structure grammar. RG uses descriptive labels for defective categories (categories tacking a constituent) instead of slash expressions and needs no null (empty, zero) categories. RG uses both functional and categorial representations and the grammar rules, written in the Prolog DCG formalism, relate these two levels. The functional representations of RG include referent variables (numbers) with noun phrases which makes it possible to keep track of the referents within the sentences and in the text. Relative clauses can b
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Pérez Sánchez, Rolando, and David Torres Fernández. "Recepción de series televisivas y formación de esquemas cognoscitivos asociados a sus personajes: un estudio con niños y adolescentes costarricenses." Universitas Psychologica 11, no. 4 (2012): 1302. http://dx.doi.org/10.11144/javeriana.upsy11-4.rstf.

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El estudio indaga la asociación entre el visionado televisivo, específicamente la intensidad de uso de la televisión y la valoración de series de televisión, en la formación de esquemas de personas. Compara la organización categorial ante una serie de televisión en un grupo de niños, niñas y adolescentes. Se estudiaron variables cognoscitivas y psicomediáticas, como variables intervinientes. Los resultados muestran diferencias entre los grupos de edad con respecto a la accesibilidad y variabilidad del contenido de los esquemas y la participación diferencial de las variables cognoscitivas y psi
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Heierli, Joachim, Ross S. Purves, Andreas Felber, and Julia Kowalski. "Verification of nearest-neighbours interpretations in avalanche forecasting." Annals of Glaciology 38 (2004): 84–88. http://dx.doi.org/10.3189/172756404781815095.

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AbstractThis paper examines the positive and negative aspects of a range of interpretations of nearest-neighbours models. Measures-oriented and distribution-oriented verification methods are applied to categorial, probabilistic and descriptive interpretations of nearest neighbours used operationally in avalanche forecasting in Scotland and Switzerland. The dependence of skill and accuracy measures on base rate is illustrated. The purpose of the forecast and the definition of events are important variables in determining the quality of the forecast. A discussion of the application of different
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Armaghany, T., G. Mills, R. Shi, S. Runhua, and H. Ataei. "Effect of insurance status and distance from treatment center on the overall survival of patients with non-small cell lung caner treated in an academic center." Journal of Clinical Oncology 27, no. 15_suppl (2009): e17557-e17557. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.e17557.

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e17557 Background: A large proportion of patients withcancer treated in academic centers do not have insurance and they travel from far distances to get medical care. We have retrospectively analyzed the outcome of 230 patients with non small cell lung caner in our cancer center and evaluated the effect of insurance status and their distances from our center on overall survival. These patients have traveled from many different regional cities to our center since mid-1996 to November 2008. Methods: We have performed a multivariate analysis on 230 patients with all stages of non small cell lung
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Došen, Kosta, and Zoran Petrić. "Generality of proofs and its Brauerian representation." Journal of Symbolic Logic 68, no. 3 (2003): 740–50. http://dx.doi.org/10.2178/jsl/1058448435.

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AbstractThe generality of a derivation is an equivalence relation on the set of occurrences of variables in its premises and conclusion such that two occurrences of the same variable are in this relation if and only if they must remain occurrences of the same variable in every generalization of the derivation. The variables in question are propositional or of another type. A generalization of the derivation consists in diversifying variables without changing the rules of inference.This paper examines in the setting of categorial proof theory the conjecture that two derivations with the same pr
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Winford, Donald. "Variability in the use of perfect have in Trinidadian English: A problem of categorial and semantic mismatch." Language Variation and Change 5, no. 2 (1993): 141–87. http://dx.doi.org/10.1017/s0954394500001459.

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ABSTRACTSociolinguistic situations that involve interplay between standard and nonstandard varieties have posed certain difficulties for the analysis of variation at the morphosyntactic level (Harris, 1984; Milroy, 1987). In particular, there is the problem of defining the scope and relevant contexts of morphosyntactic variables—a problem closely linked to that of identifying the semantic equivalence in terms of which the variable is defined (Cheshire, 1982; Romaine, 1984). This article addresses such issues by examining variation in the use of perfect have and its alternatives in the Trinidad
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Hernández Moreno, José, Ulises Castro Núñez, and Rómulo Díaz Díaz. "El juego en la obra cien años de soledad." Conexões 18 (September 22, 2020): e020024. http://dx.doi.org/10.20396/conex.v18i0.8659430.

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El objetivo de este trabajo consistió en desvelar algunos de los rasgos etnomotores de los juegos que se mencionan en la obra Cien años de soledad de García Márquez. Se aplicaron los fundamentos de la Praxiología motriz y se realizó un estudio de los rasgos caracterizadores de los juegos mencionados en dicha obra. El estudio siguió una metodología observacional mediante análisis de contenido, con un sistema categorial “ad hoc”. Se analizan cuatro variables etnomotrices: tipo de juego, tipo de interacción motriz, objetivo motor y género. En el conjunto de las cuatro variables, consideramos un t
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Prediger, Susanne. "Theorizing in Design Research." Avances de Investigación en Educación Matemática, no. 15 (May 4, 2019): 5–27. http://dx.doi.org/10.35763/aiem.v0i15.265.

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Topic-specific Didactical Design Research is a research methodology with two aims, 1) designing and improving teaching-learning arrangements and 2) generating theoretical contributions for understanding the initiated teaching-learning processes for a certain topic. The article provides methodological reflections and examples for elaborating the meaning of theorizing within this methodology. Starting from a distinction of categorial, descriptive, explanatory, normative and predictive theory elements with their functions and logical structures, the examples show that theorizing in Design Researc
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Dissertations / Theses on the topic "Categorial variables"

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Hrabec, Pavel. "Zavedení a aplikace obecného regresního modelu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232177.

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This thesis sumarizes in detail general linear regression model, including testing statistics for coefficients, submodels, predictions and mostly tests of outliers and large leverage points. It describes how to include categorial variables into regression model. This model was applied to describe saturation of photographs of bread, where input variables were, type of flour, type of addition and concntration of flour. After identification of outliers it was possible to create mathematical model with high coefficient of determination, which will be usefull for experts in food industry for prelim
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Cerda, Reyes Patricio. "Apprentissage statistique à partir de variables catégorielles non-uniformisées Similarity encoding for learning with dirty categorical variables Encoding high-cardinality string categorical variables." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS470.

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Les données de type tabulaire contiennent souvent des variables catégorielles, considérées comme des entrées non numériques avec un nombre fixe et limité d'éléments uniques, appelés catégories. De nombreux algorithmes d’apprentissage statistique nécessitent une représentation numérique des variables catégorielles. Une étape d'encodage est donc nécessaire pour transformer ces entrées en vecteurs. Pour cela, plusieurs stratégies existent, dont la plus courante est celle de l'encodage one-hot, qui fonctionne bien dans le cadre de l'analyse statistique classique (en termes de puissance de prédicti
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Ouyang, Desheng. "Nonparametric estimation of econometric models with categorical variables." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4298.

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In this dissertation I investigate several topics in the field of nonparametric econometrics. In chapter II, we consider the problem of estimating a nonparametric regression model with only categorical regressors. We investigate the theoretical properties of least squares cross-validated smoothing parameter selection, establish the rate of convergence (to zero) of the smoothing parameters for relevant regressors, and show that there is a high probability that the smoothing parameters for irrelevant regressors converge to their upper bound values thereby smoothing out the irrelevant regressors.
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Crayen, Claudia [Verfasser]. "Modeling latent change in categorical variables / Claudia Crayen." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1117089266/34.

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Miranda, Samantha. "Investigation of Multiple Imputation Methods for Categorical Variables." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/etd/3722.

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We compare different multiple imputation methods for categorical variables using the MICE package in R. We take a complete data set and remove different levels of missingness and evaluate the imputation methods for each level of missingness. Logistic regression imputation and linear discriminant analysis (LDA) are used for binary variables. Multinomial logit imputation and LDA are used for nominal variables while ordered logit imputation and LDA are used for ordinal variables. After imputation, the regression coefficients, percent deviation index (PDI) values, and relative frequency tables wer
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Gutiérrez, Espinoza Rodrigo Jesús. "Diseño de simulación de categorías con direcciones variables." Tesis, Universidad de Chile, 2013. http://repositorio.uchile.cl/handle/2250/113806.

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Memoria para optar al título de Ingeniero Civil de Minas<br>Una correcta evaluación de las unidades geológicas de un yacimiento es una etapa de gran importancia, pues a partir de esta evaluación se llevará a cabo la estimación de las especies de interés económico, lo cual será un aspecto fundamental a la hora de analizar factibilidad de un proyecto minero. Para el caso de yacimientos que presentan localmente cambios de continuidad de variables regionalizadas, la estimación de éstas será un problema importante pues las técnicas geoestadísticas convencionales consideran solo una dirección de con
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Židanavičiūtė, Jurgita. "Dependence Structure Analysis of Categorical Variables With Applications in Genetics." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100303_113305-80061.

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The dissertation considers some problems in the statistical analysis of categorical variables – the dependence structure between categorical variables and the problems of selecting and assessing the models for this structure. The aim of this dissertation is to propose the method to estimate dependence structure between multivariate categorical variables in case of sparse frequency tables and to apply the proposed method in the statistical analysis of genetic sequences. The thesis layout consists of introduction chapter, three main chapters, conclusions, list of authors’s publications and bibli
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Cho, Seung Bin. "Decomposing individual and group differences of categorical variables with genetic factor model." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4926.

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Thesis (M.A.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on January 3, 2008) Includes bibliographical references.
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Hilliam, Rachel M. "Statistical discrimination with disease categories subject to misclassification." Thesis, De Montfort University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391859.

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Zahid, Faisal Maqbool [Verfasser]. "Regularization and Variable Selection in Categorical Regression Analyses / Faisal Maqbool Zahid." München : Verlag Dr. Hut, 2011. http://d-nb.info/1014848423/34.

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Books on the topic "Categorial variables"

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Regression models for categorical and limited dependent variables. Sage Publications, 1997.

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Long, J. Scott. Regression models for categorical dependent variables using Stata. Stata Press, 2003.

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Jeremy, Freese, ed. Regression models for categorical dependent variables using Stata. Stata Corporation, 2003.

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Jeremy, Freese, ed. Regression models for categorical dependent variables using Stata. Stata Press, 2001.

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Jeremy, Freese, ed. Regression models for categorical dependent variables using Stata. 2nd ed. StataCorp LP, 2006.

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Hoffmann, John P. Regression Models For Categorical, Count, And Related Variables: An Applied Approach. University of California Press, 2016.

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Reid, Abigail-Kate, and Nick Allum. Learn About Multiple Regression With Interactions Between Categorical Variables in Survey Data in SPSS With Data From the European Social Survey (2016). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526480699.

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Reid, Abigail-Kate, and Nick Allum. Learn About Multiple Regression With Interactions Between Categorical Variables in Survey Data in Stata With Data From the European Social Survey (2016). SAGE Publications Ltd., 2019. http://dx.doi.org/10.4135/9781526480712.

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Reid, Abigail-Kate, and Nick Allum. Learn About Multiple Regression With Interactions Between Categorical Variables in Survey Data in R With Data From the European Social Survey (2016). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526496386.

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Reid, Abigail-Kate, and Nick Allum. Learn About Multiple Regression With Interactions Between Categorical Variables in Survey Data in Stata With Data From the British Crime Survey (2007–2008). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526479884.

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Book chapters on the topic "Categorial variables"

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Došen, K. "Second-order logic without variables." In Categorial Grammar. John Benjamins Publishing Company, 1988. http://dx.doi.org/10.1075/llsee.25.17dos.

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Bartholomew, David J. "Categorical Variables." In Unobserved Variables. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39912-1_8.

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Kent, Raymond. "Summarising Categorical Variables." In Data Construction and Data Analysis for Survey Research. Macmillan Education UK, 2001. http://dx.doi.org/10.1007/978-1-137-08944-1_6.

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Gatignon, Hubert. "Categorical Dependent Variables." In Statistical Analysis of Management Data. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1270-1_8.

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Vieira, Edward T. "Describing Categorical Variables." In Introduction to Real World Statistics. Routledge, 2017. http://dx.doi.org/10.4324/9781315233024-9.

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Gatignon, Hubert. "Categorical Dependent Variables." In Statistical Analysis of Management Data. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-8594-0_8.

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Lindsey, James K. "Metric Variables." In The Analysis of Categorical Data Using GLIM. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4684-7448-0_3.

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Lindsey, James K. "Ordinal Variables." In The Analysis of Categorical Data Using GLIM. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4684-7448-0_4.

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Rees, D. G. "Association of categorical variables." In Essential Statistics. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-7260-6_12.

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Kvålseth, Tarald O. "Variation for Categorical Variables." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_608.

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Conference papers on the topic "Categorial variables"

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De Meulemeester, Hannes, and Bart De Moor. "Unsupervised Embeddings for Categorical Variables." In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9207703.

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Tsunoda, Masateru, Sousuke Amasaki, and Akito Monden. "Handling categorical variables in effort estimation." In the ACM-IEEE international symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2372251.2372267.

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Zhao, Liang, and Jian-hui Liu. "A similarity algorithm for categorical variables." In 2013 9th International Conference on Natural Computation (ICNC). IEEE, 2013. http://dx.doi.org/10.1109/icnc.2013.6818100.

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Zhang, Siyao. "Shrinkage Method for Categorical Explanatory Variables." In ICAIP 2020: 2020 4th International Conference on Advances in Image Processing. ACM, 2020. http://dx.doi.org/10.1145/3441250.3441275.

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Ahad, Nor Aishah, Fathilah Mohd Alipiah, and Farhani Azhari. "Applicability of G-test in analyzing categorical variables." In THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5121108.

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Jodoin, E., C. A. Pena Reyes, and E. Sanchez. "A Method for the Fuzzification of Categorical Variables." In 2006 IEEE International Conference on Fuzzy Systems. IEEE, 2006. http://dx.doi.org/10.1109/fuzzy.2006.1681807.

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Johansson, Sara, Mikael Jern, and Jimmy Johansson. "Interactive Quantification of Categorical Variables in Mixed Data Sets." In 2008 12th International Conference Information Visualisation (IV). IEEE, 2008. http://dx.doi.org/10.1109/iv.2008.33.

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Guilbaud, Jean-Phillippe. "Variables et categories grammaticales dans un modele ariane." In the 11th coference. Association for Computational Linguistics, 1986. http://dx.doi.org/10.3115/991365.991483.

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Liu, Xiang, Huyunting Huang, Ziyang Tang, Tonglin Zhang, and Baijian Yang. "Sparse Block Regression (SBR) for Big Data with Categorical Variables." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006448.

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Hoffman, Beryl. "The formal consequences of using variables in CCG categories." In the 31st annual meeting. Association for Computational Linguistics, 1993. http://dx.doi.org/10.3115/981574.981620.

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Reports on the topic "Categorial variables"

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Yamamoto, Jorge Kazuo, Antonio Tadashi Kikuda, Katsuaki Koike, and Mao Xiaomin. THE INDICATOR APPROACH FOR MEASURING THE CORRELATION BETWEEN CATEGORICAL VARIABLES. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0057.

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Nelson, Gena. Proportional Reasoning Interventions in Special Education Synthesis Coding Protocol. Boise State University, 2021. http://dx.doi.org/10.18122/sped136.boisestate.

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The purpose of document is to provide readers with the coding protocol that authors used to code nine group and single case design intervention studies focused on proportional reasoning interventions for students (grades 5-9) with learning disabilities (LD) or mathematics difficulty (MD). The studies yielded intervention effects ranging from g = −0.10 to 1.87 and from Tau-U = 0.88 to 1.00. We coded all of the studies for variables in the following categories: study information, intervention features, dependent measures, participant demographics, LD and MD criteria and definitions, instructiona
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Edwards, Susan L., Marcus E. Berzofsky, and Paul P. Biemer. Addressing Nonresponse for Categorical Data Items Using Full Information Maximum Likelihood with Latent GOLD 5.0. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0038.1809.

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Full information maximum likelihood (FIML) is an important approach to compensating for nonresponse in data analysis. Unfortunately, only a few software packages implement FIML and even fewer have the capability to compensate for missing not at random (MNAR) nonresponse. One of these packages is Statistical Innovations’ Latent GOLD; however, the user documentation for Latent GOLD provides no mention of this capability. The purpose of this paper is to provide guidance for fitting MNAR FIML models for categorical data items using the Latent GOLD 5.0 software. By way of comparison, we also provid
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Nelson, Gena. Special Education Math Interventions. Boise State University, 2021. http://dx.doi.org/10.18122/sped_facpubs/133/boisestate.

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The purpose of document is to provide readers with the coding protocol that authors used to code 22 mathematics intervention meta-analyses focused on participants with or at-risk of disabilities. The author drafted this coding protocol based on the meta-analysis quality indicators recommended by Talbott et al. (2018, pp. 248–249); specifically, the author considered the variables presented in Table 1 of Talbott et al. and supplemented the information so that the variables and definitions were specific to the purpose of this systematic review. We coded each meta-analysis for 53 variables across
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Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2011.

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The transportation studies literature recognizes the relationship between accessibility and active travel. However, there is limited research on the specific impact of walking and cycling accessibility to multi-use paths on active travel behavior. Combined with the culture of automobile dependency in the US, this knowledge gap has been making it difficult for policy-makers to encourage walking and cycling mode choices, highlighting the need to promote a walking and cycling culture in cities. In this case, a clustering effect (“you bike, I bike”) can be used as leverage to initiate such a trend
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Nelson, Gena. High Leverage Practices in Special Education Synthesis Coding Protocol. Boise State University, 2021. http://dx.doi.org/10.18122/sped134.boisestate.

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The purpose of document is to provide readers with the coding protocol that authors used to code 76 meta-analyses focused on students with or at-risk of disabilities. All of the included meta-analyses provided a summary statistic related to at least one of the High Leverage Practices (HLPs; McLeskey et al., 2017). ). The purpose of the systematic review of meta-analyses was to provide an initial investigation of the evidence supporting the effectiveness of the HLPs for students with, or at-risk for, a disability. This code book contains variable names, code options, and code definitions relate
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Nelson, Gena. A Systematic Review of the Quality of Reporting in Mathematics Meta-Analyses for Students with or at Risk of Disabilities Coding Protocol. Boise State University, 2021. http://dx.doi.org/10.18122/sped138.boisestate.

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The purpose of this document is to provide readers with the coding protocol that authors used to code 22 meta-analyses focused on mathematics interventions for students with or at-risk of disabilities. The purpose of the systematic review was to evaluate reporting quality in meta-analyses focused on mathematics interventions for students with or at risk of disabilities. To identify meta-analyses for inclusion, we considered peer-reviewed literature published between 2000 and 2020; we searched five education-focused electronic databases, scanned the table of contents of six special education jo
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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Ke
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