Validity and Reliability of Proximity Detection with Bluetooth-Enabled Accelerometers among Adults

ABSTRACT

Introduction: This study examined the concurrent validity and inter-pair reliability of the proximity detection function on Bluetooth-enabled accelerometers across manufacturer-specified ranges. If valid, this method could be used for objectively measuring shared physical activity participation. Method: Thirty-six dyads aged 21.6 (2.1) years wore two sets of Bluetooth-enabled accelerometers initialized as beacons and receivers to compare accelerometer-measured proximity detection to direct observation under 11 different controlled and free-living conditions. Results: The proportion of minutes in which proximity was detected differed across conditions (p < .001), with the highest proportions in the controlled conditions (.77–1.0). Among the free-living conditions, the different room (.73 ± .20) condition had the highest proximity detection proportions. There were no differences in the proximity detection across accelerometer pairs (p = .265). Conclusion: Proximity detection with Bluetooth-enabled accelerometers was reliable and had the highest detection rates under the controlled treadmill walking conditions. Despite limitations, using Bluetooth-enabled accelerometers is a promising approach for measuring shared physical activity.     

An Engagement-Based Student Typology and Its Relationship to College Outcomes

Using data from the 2006 cohort of the Wabash National Study of Liberal Arts Education, we developed a student typology based on student responses to survey items on the National Survey of Student Engagement. We then examined the utility of this typology in understanding direct-assessment learning outcomes, self-reported gains, grade-point average, and persistence from the first to second year of college. Results from linear and logistic regression models indicated there were relationships between student types and the various outcomes, and that an engagement-based student typology could help deepen our understanding of the college student experience and college outcomes.     

Examining the Relationship between Student Learning and Persistence

Using data from the 2006 cohort of the Wabash National Study of Liberal Arts Education, we examined the relationships between three approaches to measuring student learning outcomes (direct-assessment learning gains, self-reported gains, and college grades) and student persistence from the first to second year. Results from a series of logistic regressions indicated that students’ grade-point averages had the largest explanatory power in student persistence, followed by self-reported gains. Direct-assessment learning gains had the least power in explaining persistence. The findings have implications for the national conversation on student success in college.     

Which features make illustrations in multimedia learning interesting?

How can illustrations motivate learners in multimedia learning? Which features make illustrations interesting? Beside the theoretical relevance of addressing these questions, these issues are practically relevant when instructional designers are to decide which features of illustrations can trigger situational interest irrespective of individual differences. We analysed ratings of illustrations with respect to four potentially interest-triggering features (concreteness, personal relevance, ease of comprehension and unexpected information) and to situational interest. A methodological contribution was to show how multilevel modelling can be applied to take individual differences into account in several respects. Situational interest was predicted by 957 ratings of the four features on an intra-individual level (level 1). Inter-individual differences were controlled by modelling individuals on level 2 (N?=?82 high-school students). Concreteness, personal relevance and ease of comprehension of illustrations are what mainly triggered situational interest. Nearly, 55% of the situational interest variance was explained by inter-individual preferences, thus, highlighting the usefulness of multilevel modelling to control for individual differences.     

Quantum Yang-Baxter equation and constant R-matrix over Grassmann algebra

INTRODUCTION The Yang-Baxter equation(Yang,1967;Baxter,1972)is one of the most valuable concepts in modern theoretical physics(Baxter,1982).The importance of detailed study of Yang-Baxter equation solutions is due to its key role in constant solution models of sta-tistics mechanics(Baxter,1972;1982)and field the-ory in lower dimensions(Yang,1967),conformal field theory(Di Francesco et al.,1997)and in quan-tum integrable systems(Faddeev et al.,1990).From the group-theoretical viewpoint…     

On the Impact of Learning Cycle Teaching on Austrian High School Students’ Emotions,Academic Self-Concept,Engagement, and Achievement

Research in Science Education - Over the past several decades, empirical support for inquiry-based forms of science teaching has accumulated. Critical voices, however, also exist, claiming that...     

Word-to-text integration in English as a second language reading comprehension

Reading and Writing - We assessed the relationship between word-to-text-integration (WTI) and reading comprehension in 7th grade students (n?=?441) learning English as a second language...     

History of Spanish Mathematics Education Focusing on PhD Theses

This article offers an overview of mathematics education in Spain, analyzing the production of PhD theses over the last 30 years. This period has been divided into four cycles that describe the evolution of Spanish research in the field of mathematics education, together with changes in university and social politics. This paper also includes a forecast of the number of theses that will be produced over the next 7 years, thus predicting the future progress and development of this area of research.     

Phonological awareness training and remediation of analytic decoding deficits in a group of severe dyslexics

The goal of the present study was to evaluate the effectiveness of the Auditory Discrimination in Depth Program (ADD) in remediating the analytic decoding deficits of a group of severe dyslexics. A group of ten severely dyslexic students ranging in age from 93 to 154 months were treated in a clinic setting for 38 to 124 hours (average of 65 hours). Pre- and post-treatment testing was done with the Woodcock Reading Mastery Test and the Lindamood Auditory Conceptualization to assess changes in phonological awareness and analytic decoding skills. Results revealed statistically significant gains in phonological awareness and analytic decoding skills.     

Goodness of Fit in Item Factor Analysis: Effect of the Number of Response Alternatives

The power of the chi-square test statistic used in structural equation modeling decreases as the absolute value of excess kurtosis of the observed data increases. Excess kurtosis is more likely the smaller the number of item response categories. As a result, fit is likely to improve as the number of item response categories decreases, regardless of the true underlying factor structure or χ²-based fit index used to examine model fit. Equivalently, given a target value of approximate fit (e.g., root mean square error of approximation ≤ .05) a model with more factors is needed to reach it as the number of categories increases. This is true regardless of whether the data are treated as continuous (common factor analysis) or as discrete (ordinal factor analysis). We recommend using a large number of response alternatives (≥ 5) to increase the power to detect incorrect substantive models.