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Gongjun Xu; Tony Sit; Lan Wang; Chiung-Yu Huang – Grantee Submission, 2017
Biased sampling occurs frequently in economics, epidemiology, and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to incorrect inference. We propose a unified estimation procedure and a computationally fast resampling method to make statistical inference for…
Descriptors: Sampling, Statistical Inference, Computation, Generalization
Dolor, Jason; Noll, Jennifer – Statistics Education Research Journal, 2015
Statistics education reform efforts emphasize the importance of informal inference in the learning of statistics. Research suggests statistics teachers experience similar difficulties understanding statistical inference concepts as students and how teacher knowledge can impact student learning. This study investigates how teachers reinvented an…
Descriptors: Statistics, Mathematics Teachers, Teacher Characteristics, Hypothesis Testing
Namey, Emily; Guest, Greg; McKenna, Kevin; Chen, Mario – American Journal of Evaluation, 2016
Evaluators often use qualitative research methods, yet there is little evidence on the comparative cost-effectiveness of the two most commonly employed qualitative methods--in-depth interviews (IDIs) and focus groups (FGs). We performed an inductive thematic analysis of data from 40 IDIs and 40 FGs on the health-seeking behaviors of African…
Descriptors: Cost Effectiveness, Comparative Analysis, Interviews, Focus Groups
Cooper, Barry; Glaesser, Judith – International Journal of Social Research Methodology, 2016
Ragin's Qualitative Comparative Analysis (QCA) is often used with small to medium samples where the researcher has good case knowledge. Employing it to analyse large survey datasets, without in-depth case knowledge, raises new challenges. We present ways of addressing these challenges. We first report a single QCA result from a configurational…
Descriptors: Social Science Research, Robustness (Statistics), Educational Sociology, Comparative Analysis
Mazza, Angelo; Punzo, Antonio – Sociological Methods & Research, 2015
The dissimilarity index of Duncan and Duncan is widely used in a broad range of contexts to assess the overall extent of segregation in the allocation of two groups in two or more units. Its sensitivity to random allocation implies an upward bias with respect to the unknown amount of systematic segregation. In this article, following a multinomial…
Descriptors: Statistical Bias, Error of Measurement, Error Correction, Mathematical Logic
Kang, Yoonjeong; Harring, Jeffrey R.; Li, Ming – Journal of Experimental Education, 2015
The authors performed a Monte Carlo simulation to empirically investigate the robustness and power of 4 methods in testing mean differences for 2 independent groups under conditions in which 2 populations may not demonstrate the same pattern of nonnormality. The approaches considered were the t test, Wilcoxon rank-sum test, Welch-James test with…
Descriptors: Comparative Analysis, Monte Carlo Methods, Statistical Analysis, Robustness (Statistics)
Ibrahim, Mikail; Baharun, Hazleena; Harun, Haliza; Othman, Normah – Malaysian Journal of Learning and Instruction, 2017
Purpose: This study examined the interrelationships between a set of antecedent academic intrinsic motivations and metacognitive strategy such as goal orientation, perceived value and religiosity in Fundamental Knowledge for Matriculation courses (FKM). It also investigated the relationship between intrinsic motivation and metacognitive strategy…
Descriptors: Motivation, Metacognition, Academic Achievement, College Students
Maeda, Hotaka; Zhang, Bo – International Journal of Testing, 2017
The omega (?) statistic is reputed to be one of the best indices for detecting answer copying on multiple choice tests, but its performance relies on the accurate estimation of copier ability, which is challenging because responses from the copiers may have been contaminated. We propose an algorithm that aims to identify and delete the suspected…
Descriptors: Cheating, Test Items, Mathematics, Statistics
García, Víctor N.; Sánchez, Ernesto – North American Chapter of the International Group for the Psychology of Mathematics Education, 2017
In the present study we analyze how students reason about or make inferences given a particular hypothesis testing problem (without having studied formal methods of statistical inference) when using Fathom. They use Fathom to create an empirical sampling distribution through computer simulation. It is found that most student´s reasoning rely on…
Descriptors: High School Students, Logical Thinking, Hypothesis Testing, Computer Simulation
Meng, Qian; Zhu, Chang; Cao, Chun – Higher Education: The International Journal of Higher Education Research, 2018
This study examined global competence of Chinese international students sojourning in a non-Anglophone European country as a mediator between foreign language proficiency (i.e., English and local language) and social and academic adaptation, and social connectedness in international community. A sample of 206 Chinese students in Belgium responded…
Descriptors: Foreign Students, Interpersonal Relationship, Social Adjustment, Student Adjustment
Leth-Steensen, Craig; Gallitto, Elena – Educational and Psychological Measurement, 2016
A large number of approaches have been proposed for estimating and testing the significance of indirect effects in mediation models. In this study, four sets of Monte Carlo simulations involving full latent variable structural equation models were run in order to contrast the effectiveness of the currently popular bias-corrected bootstrapping…
Descriptors: Mediation Theory, Structural Equation Models, Monte Carlo Methods, Simulation
Mad Ithnin, Salleh; Habidin, Nurul Fadly; Masnan, Abdul Halim; Mamat, Nordin – International Journal of Early Childhood Education and Care, 2016
This study is focused on conceptual paper and the purpose of this study is to conduct an empirical investigation into the Malaysian Preschool institutions, focusing on measuring their technical efficiency and productivity changes. This study is to examine the nature of productivity changes by means of bootstrapped Malmquist TFP indices. The study…
Descriptors: Foreign Countries, Preschool Education, Sampling, Statistical Inference
Key-DeLyria, Sarah E. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Sentence processing can be affected following a traumatic brain injury (TBI) due to linguistic or cognitive deficits. Language-related event-related potentials (ERPs), particularly the P600, have not been described in individuals with TBI history. Method: Four young adults with a history of closed head injury participated. Two had severe…
Descriptors: Sentences, Language Processing, Head Injuries, Neurological Impairments
Barratt, Monica J.; Ferris, Jason A.; Lenton, Simon – Field Methods, 2015
Online purposive samples have unknown biases and may not strictly be used to make inferences about wider populations, yet such inferences continue to occur. We compared the demographic and drug use characteristics of Australian ecstasy users from a probability (National Drug Strategy Household Survey, n = 726) and purposive sample (online survey…
Descriptors: Sampling, Validity, Drug Abuse, Probability
Pfannkuch, Maxine; Arnold, Pip; Wild, Chris J. – Educational Studies in Mathematics, 2015
Currently, instruction pays little attention to the development of students' sampling variability reasoning in relation to statistical inference. In this paper, we briefly discuss the especially designed sampling variability learning experiences students aged about 15 engaged in as part of a research project. We examine assessment and…
Descriptors: Statistical Inference, Statistical Analysis, Sampling, Interviews

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