Interaction in the online learning environment has been regarded as one of the most critical elements that affect learning outcomes. This study examined what factors in learner-instructor interaction can predict the learner's outcomes in the online learning environment. Learners in K Online University participated by answering the survey, and data…

Objective: To evaluate relations among dietary habits, bone mineral density (BMD), visceral fat area (VFA), and arterial stiffness and recommend better dietary habits. Methods: One hundred and six men and 381 women (aged 18-84) received a health checkup and answered questionnaires, with subsequent measurements of BMD (speed of sound), VFA…

The main controversy as a result of the commercialisation of international education markets is that international students especially those from China are unable to perform as well as UK students in UK universities. So far, research has yet to identify the influence of placements on the academic performance of Chinese students from entry to…

Using logistic regression, this study sought to understand the relationship between district characteristics, district finances, levy characteristics, and campaign expenditures with new operating levy outcomes. We found that employee benefits as a percentage of the district's budget were negatively associated with levy outcomes, while salaries…

This paper explores the relationship between a peer-assessed reputation rating for each of the 247 doctoral universities and cross-institutional performance indicators for universities and their libraries. Using multiple regression, the variable of library expenditures, was the only consistently significant one using combinations of variables.…

Curriculum-based measurement of oral reading (CBM-R) is frequently used to set student goals and monitor student progress. This study examined the quality of growth estimates derived from CBM-R progress monitoring data. The authors used a linear mixed effects regression (LMER) model to simulate progress monitoring data for multiple levels of…

In this paper we present time series data collected from a cafe run by business students at a Midwestern public university. The data were collected over a ten-week period during the spring semester of 2010. These data can be used in introductory courses to illustrate basic concepts of time series and forecasting, including trend, seasonality, and…

This paper aims to analyze the effects of certain characteristics of the educational systems on the social composition of schools. After accounting for significant effects of schools' social composition on student outcomes (this is confirmed on the basis of a multilevel analysis), we explore the impacts of distinct components of what we name…

This article examines the sociocognitive processes contributing to intention to use contraception and willingness to engage in unsafe sex, using extended versions of the theory of planned behavior (TPB) and the Prototype/Willingness model (Gibbons & Gerrard, 1995, 1997). Data were obtained from a questionnaire delivered to all the pupils in…

Several advantages to the use of different kinds of factor scores as independent variables in a multiple regression equation are reported. A computer program is presented which will calculate a regression equation using a variety of factor scores. (Author/JKS)

The 2000 US presidential election between Al Gore and George W. Bush has been the most intriguing and controversial in American history. Using the Florida ballot data, Wu showed that the 2000 election result could have been reversed had the "butterfly ballot effect" been eliminated. Through a combinatorial approach, Harger concluded that…

Points out reasons for using graphical methods to teach simple and multiple regression analysis. Argues that a graphically oriented approach has considerable pedagogic advantages in the exposition of simple and multiple regression. Shows that graphical methods may play a central role in the process of building regression models. (Author/LS)

The problem of fitting a surge function to a set of data such as that for a drug response curve is considered. A variety of different techniques are applied, including using some fundamental ideas from calculus, the use of a CAS package, and the use of Excel's regression features for fitting a multivariate linear function to a set of transformed…

The utility of several longitudinal data analysis models for use with educational attainment are discussed and illustrated on a large data set. Assumptions of the models, choice of scale units, and data transformations, as well as real-life implications are emphasized. (Author/JKS)

Analyzed the relative contributions of academic ability, music experience, and musical aptitude to predicting grades in college freshman music theory courses. Found that the best predictor of grades was the mathematics component of the Scholastic Aptitude Test (SAT). Data analysis revealed five factors that accounted for 78.6 percent of the…