Single-case effect size calculation: Comparing regression and non-parametric approaches across previously published reading intervention data sets

Growing from demands for accountability and research-based practice in the field of education, there is recent focus on developing standards for the implementation and analysis of single-case designs. Effect size methods for single-case designs provide a useful way to discuss treatment magnitude in the context of individual intervention. Although a standard effect size methodology does not yet exist within single-case research, panel experts recently recommended pairing regression and non-parametric approaches when analyzing effect size data. This study compared two single-case effect size methods: the regression-based, Allison-MT method and the newer, non-parametric, Tau-U method. Using previously published research that measured the Words read Correct per Minute (WCPM) variable, these two methods were examined by comparing differences in overall effect size scores and rankings of intervention effect. Results indicated that the regression method produced significantly larger effect sizes than the non-parametric method, but the rankings of the effect size scores had a strong, positive relation. Implications of these findings for research and practice are discussed.     

Using generalized additive (mixed) models to analyze single case designs

This article shows how to apply generalized additive models and generalized additive mixed models to single-case design data. These models excel at detecting the functional form between two variables (often called trend), that is, whether trend exists, and if it does, what its shape is (e.g., linear and nonlinear). In many respects, however, these models are also an ideal vehicle for analyzing single-case designs because they can consider level, trend, variability, overlap, immediacy of effect, and phase consistency that single-case design researchers examine when interpreting a functional relation. We show how these models can be implemented in a wide variety of ways to test whether treatment is effective, whether cases differ from each other, whether treatment effects vary over cases, and whether trend varies over cases. We illustrate diagnostic statistics and graphs, and we discuss overdispersion of data in detail, with examples of quasibinomial models for overdispersed data, including how to compute dispersion and quasi-AIC fit indices in generalized additive models. We show how generalized additive mixed models can be used to estimate autoregressive models and random effects and discuss the limitations of the mixed models compared to generalized additive models. We provide extensive annotated syntax for doing all these analyses in the free computer program R.     

Effects of perception on public bike-and-ride: A survey under complex,multifactor mode-choice scenarios

Bicycles are an environmentally-friendly, energy-saving mode of transportation. Public bike-and-ride is a term used to describe the use of public bicycles combined with transit as a means of transportation. A new stated preference (SP) design scheme based on the factors respondents felt were most important was proposed to augment the traditional SP design under complex multi-factor and multi-level situations. iPads were used to automatically administer the survey under each design scheme and collect the choice behavior data for public bike-and-ride. The concept of perceived psychological distance was further proposed and used to estimate Logit models. Comparative analysis of these models shows for the traditional SP design scheme, some factors, including perceived psychological distance, have reduced statistically significant effects on public bike-and-ride choice relative to the new SP design scheme. This indicates that in scenarios with complex decisions, the decision-makers would reduce their consideration of some factors and simplify their decision process making the new SP survey design scheme more suitable to analyze their choice behavior in those cases. Model analysis showed that perceived psychological distance for each traveler is the most critical factor during the decision process for travel behavior analysis. Finally, sensitivity analysis was conducted to determine which factors in the new survey design were important to increase the share of public bike-and-ride users. Practical findings for promoting public bike-and-ride use are presented in addition to theoretical references for improving the traditional survey methods.     

3～6岁儿童人格发展的群组序列追踪研究

目的:运用自编幼儿人格发展教师评定问卷对幼儿人格进行追踪测量,探讨其年龄及性别发展特点。方法:用整群抽样法选取3~3.5岁、3.5~4岁、4~4.5岁3个年龄群组幼儿为被试,采用群组序列的追踪设计,进行为期1年半的追踪测量,结合潜变量增长曲线模型和多层线性模型处理数据,探讨幼儿在3~6岁间人格的发展特点。结果:(1)幼儿的智能特征、认真自控、外倾性、亲社会性、情绪稳定性5个人格维度在3~4岁发展最快,4~5岁持续增长但发展速度放缓,到5~6岁时趋于平稳;(2)女孩的认真自控和亲社会性在3岁时显著高于男孩,但在3~6岁间的增长率不存在差异,即女孩的认真自控和亲社会性在幼儿阶段发展水平始终高于男孩。结论:从家庭进入幼儿园的环境变迁促使了幼儿人格的进一步发展,5岁左右幼儿人格开始初步形成;女孩的认真自控和亲社会性水平在幼儿阶段始终高于男孩。     

Change-oriented behavior: A meta-analysis of individual and job design predictors

We propose and meta-analytically test a theoretical model of individual and job-based predictors of change-oriented behaviors. Meta-analytic tests (106 effect sizes, N = 28,402) demonstrate that employee's proactive personality is a stronger predictor of change-oriented behavior than the five-factor model (FFM) personality traits of openness and extraversion. Also, enriched job characteristics (autonomy, complexity, and task significance) are more important in predicting change-oriented behavior, than un-enriched job characteristics (routinization and formalization). Finally, we establish work engagement as a mediator that provides an explanation for how and why proactive personality and enriched job characteristics predict change-oriented behavior. We provide both theoretical and empirical integration of the literature with practical implications for managing change-oriented behaviors, which are increasingly recognized as important to both organizational effectiveness and employee career management.     

A Comparison of Taped-Problem Interventions to Increase Math Fact Fluency: Does the Length of Time Delay Affect Student Learning Rates?

An alternating treatments design with a control condition was used to evaluate and compare the effects of two taped-problem interventions on addition fact fluency. Both taped-problem interventions were identical with the exception of the time delay between the auditory cue of the problem and the answer. One condition used a 2-s delay and the other condition used no delay. Results showed that both taped-problem conditions showed growth in student digits correct per minute scores and that the no-delay condition was slightly more efficient as the taped-problem no-delay procedure took approximately 33% less time. Discussion focuses on using comparative intervention designs to detect nuances in procedures to improve our understanding of math fact interventions that result in the highest learning rates.     

Aesthetics and Affect: Engaging Energy Communities

ABSTRACT

Engaging publics in participatory events has become a central means to introducing lay people's voices into processes of technoscientific innovation and governance. However, little attention has been paid to the role of aesthetics, especially in terms of opening up potential ways of critically and creatively engaging with technoscientific matters of concern. The terms semblamatic and matters of potentially are proposed as addressing this dimension of aesthetics. Drawing on practice-based design research, a probe workshop with members of energy communities was implemented. Three probe exercises served to open up potential re-articulations of such core themes as energy, communities and futures. Our goals were to examine the whether such probes enabled semblamatic responses and the emergence of matters of potentiality. Findings were mixed. The continued retention of standard meanings of these core themes suggested that such events can be anaesthetic, blunting access to the semblamatic aspects of engagement. Conversely, there was some opening up in which the core themes were creatively re-articulated. The present perspective, with its three novel terms - semblamatic, matters of potentiality, and anaesthetic - might prove useful in alerting scholars to the complex role of aesthetics in the methodological and analytic practices entailed in engagement with publics.