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Kubiatko, Milan – EURASIA Journal of Mathematics, Science & Technology Education, 2015
Chemistry is an important subject due to understanding the composition and structure of the things around us. The main aim of the study was to find out the perception of chemistry by lower secondary school pupils. The partial aims were to find out the influence of gender, year of study and favorite subject on the perception of chemistry. The…
Descriptors: Foreign Countries, Chemistry, Secondary School Science, Secondary School Students
Galloway, Kelli R.; Bretz, Stacey Lowery – Journal of Chemical Education, 2015
Research on learning in the undergraduate chemistry laboratory necessitates an understanding of students' perspectives of learning. Novak's Theory of Meaningful Learning states that the cognitive (thinking), affective (feeling), and psychomotor (doing) domains must be integrated for meaningful learning to occur. The psychomotor domain is the…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, College Science
Saleh, Salmiza – European Journal of Science and Mathematics Education, 2014
The purpose of this survey study was to examine the level of Malaysian students' motivation with regards to the learning of Physics at the secondary school level, and its influencing factors. The study was carried out on 337 Form Four students who took Physics as a subject, from six schools in a northern state of Malaysia--three from urban areas,…
Descriptors: Foreign Countries, Science Instruction, Secondary School Students, Secondary School Science
Kaplan, David; Chen, Cassie J. S. – Society for Research on Educational Effectiveness, 2011
Propensity score analysis (PSA) has been used in a variety of settings, such as education, epidemiology, and sociology. Most typically, propensity score analysis has been implemented within the conventional frequentist perspective of statistics. This perspective, as is well known, does not account for uncertainty in either the parameters of the…
Descriptors: Bayesian Statistics, Probability, Statistical Analysis, Statistical Inference
Bakker, Arthur; Derry, Jan – Mathematical Thinking and Learning: An International Journal, 2011
This theoretical paper relates recent interest in informal statistical inference (ISI) to the semantic theory termed inferentialism, a significant development in contemporary philosophy, which places inference at the heart of human knowing. This theory assists epistemological reflection on challenges in statistics education encountered when…
Descriptors: Statistical Inference, Inferences, Theories, Statistics
Pek, Jolynn; Losardo, Diane; Bauer, Daniel J. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Compared to parametric models, nonparametric and semiparametric approaches to modeling nonlinearity between latent variables have the advantage of recovering global relationships of unknown functional form. Bauer (2005) proposed an indirect application of finite mixtures of structural equation models where latent components are estimated in the…
Descriptors: Structural Equation Models, Sampling, Statistical Inference, Computation
Wagler, Amy E.; Lesser, Lawrence M.; González, Ariel I.; Leal, Luis – Journal of Technical Writing and Communication, 2015
A corpus of current editions of statistics textbooks was assessed to compare aspects and levels of readability for the topics of "measures of center," "line of fit," "regression analysis," and "regression inference." Analysis with lexical software of these text selections revealed that the large corpus can…
Descriptors: Lexicology, Grammar, Higher Education, Statistics
Wester, Kelly L.; Trepal, Heather C. – Journal of College Student Development, 2015
This study examined race and ethnic identity in relation to nonsuicidal self-injury (NSSI). Participants included freshmen at 2 universities, who were predominantly female. Final inferential statistics examined differences across Caucasian, African American, Hispanic, Asian American, and Multiracial students, finding African Americans and Asian…
Descriptors: Self Destructive Behavior, Injuries, College Freshmen, Females
Padilla, Miguel A.; Veprinsky, Anna – Educational and Psychological Measurement, 2012
Issues with correlation attenuation due to measurement error are well documented. More than a century ago, Spearman proposed a correction for attenuation. However, this correction has seen very little use since it can potentially inflate the true correlation beyond one. In addition, very little confidence interval (CI) research has been done for…
Descriptors: Correlation, Error of Measurement, Sampling, Statistical Inference
Zhang, Dongbo; Koda, Keiko – Reading and Writing: An Interdisciplinary Journal, 2012
Within the Structural Equation Modeling framework, this study tested the direct and indirect effects of morphological awareness and lexical inferencing ability on L2 vocabulary knowledge and reading comprehension among advanced Chinese EFL readers in a university in China. Using both regular z-test and the bootstrapping (data-based resampling)…
Descriptors: Reading Comprehension, Structural Equation Models, Foreign Countries, Vocabulary Development
Chuderski, Adam; Taraday, Maciej; Necka, Edward; Smolen, Tomasz – Intelligence, 2012
We examined whether fluid intelligence (Gf) is better predicted by the storage capacity of active memory or by the effectiveness of executive control. In two psychometric studies, we measured storage capacity with three kinds of task which required the maintenance of a visual array, the monitoring of simple relations among perceptually available…
Descriptors: Intelligence, Structural Equation Models, Attention Control, Inhibition
Beaujean, A. Alexander; Cooper-Twamley, Susan – Teaching Statistics: An International Journal for Teachers, 2010
While bootstrapping is a computationally intensive procedure, teaching about the concept does not necessarily require any more technology than a simple calculator. This article describes an interactive teaching approach for introducing bootstrapping without using a statistics program or a computer.
Descriptors: Statistical Inference, Calculators, Mathematics Instruction, Teaching Methods
Griffiths, Thomas L.; Tenenbaum, Joshua B. – Journal of Experimental Psychology: General, 2011
Predicting the future is a basic problem that people have to solve every day and a component of planning, decision making, memory, and causal reasoning. In this article, we present 5 experiments testing a Bayesian model of predicting the duration or extent of phenomena from their current state. This Bayesian model indicates how people should…
Descriptors: Bayesian Statistics, Statistical Inference, Models, Prior Learning
Kaplan, David; McCarty, Alyn Turner – Large-scale Assessments in Education, 2013
Background: In the context of international large scale assessments, it is often not feasible to implement a complete survey of all relevant populations. For example, the OECD Program for International Student Assessment surveys both students and schools, but does not obtain information from teachers. In contrast the OECD Teaching and Learning…
Descriptors: Measurement, International Assessment, Student Surveys, Teacher Surveys
Day, Lorraine – Australian Mathematics Teacher, 2013
The area of statistics is one in which teachers may be encouraged to make important links to other curriculum areas and social issues. Statistical literacy is a key component of being numerate and living as an informed citizen. The teaching of statistics provides an opportunity to inform and educate students about social issues and moral…
Descriptors: Social Problems, Statistics, Foreign Countries, Mathematics