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Marek Arendarczyk; Tomasz J. Kozubowski; Anna K. Panorska – Journal of Statistics and Data Science Education, 2023
We provide tools for identification and exploration of data with very large variability having power law tails. Such data describe extreme features of processes such as fire losses, flood, drought, financial gain/loss, hurricanes, population of cities, among others. Prediction and quantification of extreme events are at the forefront of the…
Descriptors: Natural Disasters, Probability, Regression (Statistics), Statistical Analysis
Harris, Kenya – ProQuest LLC, 2017
As the socio-linguistic make-up of the United States shifts from an English monolingual country to a multilingual society, it becomes imperative that a pool of linguistically, knowledgeable, competent nurses are in the pipeline to the nursing workforce to meet the needs of a diverse lingual patient population. The continued lack of…
Descriptors: Causal Models, Comparative Analysis, Community Colleges, Teacher Attitudes
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Tagay, Özlem – Eurasian Journal of Educational Research, 2015
Problem Statement: A literature analysis revealed that contact disturbances, self-esteem and life satisfaction have been examined in different studies separately. In particular, the researchers observed that the studies conducted on Gestalt contact disturbances are limited in number. In this study, the variables of contact disturbances,…
Descriptors: Foreign Countries, College Students, Interpersonal Competence, Withdrawal (Psychology)
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Fernbach, Philip M.; Erb, Christopher D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
The authors propose and test a causal model theory of reasoning about conditional arguments with causal content. According to the theory, the acceptability of modus ponens (MP) and affirming the consequent (AC) reflect the conditional likelihood of causes and effects based on a probabilistic causal model of the scenario being judged. Acceptability…
Descriptors: Causal Models, Logical Thinking, Statistical Analysis, Validity
Porter, Stephen R. – Online Submission, 2012
Selection bias is problematic when evaluating the effects of postsecondary interventions on college students, and can lead to biased estimates of program effects. While instrumental variables can be used to account for endogeneity due to self-selection, current practice requires that all five assumptions of instrumental variables be met in order…
Descriptors: Statistical Bias, College Students, Educational Research, Statistical Analysis
Schenck, Andrew – Online Submission, 2012
Educators continue to have difficulty reforming English curricula in ways that better serve the needs of second language learners. This difficulty is perpetuated, in part, by the inability to predict how such changes will affect morphosyntactic development. To date, ESL research has failed to effectively ascertain how multiple causes influence the…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Morphology (Languages)
Fry, Donald W. – ProQuest LLC, 2010
While withdrawal from higher education may be the result of many reasons both within and beyond the control of the student or the institution, the intent of not returning to higher education indicates the acceptance of a permanent disassociation with the pursuit of the higher education endeavor. It is of paramount importance in understanding the…
Descriptors: Higher Education, College Students, Causal Models, Academic Persistence
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Harms, Kristyn; King, James; Francis, Charles – Journal of Natural Resources and Life Sciences Education, 2009
This study evaluated and described student perceptions of a course in agroecology to determine if participants experienced changed perceptions and behaviors resulting from the Agroecosystems Analysis course. A triangulation validating quantitative data mixed methods approach included a written survey comprised of both quantitative and open-ended…
Descriptors: Grounded Theory, Control Groups, Student Attitudes, Self Efficacy