We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…

Manipulation checks are an essential component of quality experimental design in motor learning. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, this methodological systematic review examined the utilization of manipulation checks in focus of attention research. Seventy-eight protocols from four…

This special issue's editors invited discussion of three broad questions. Slightly rephrased, they are: How well do self-report data represent theoretical constructs? How should analyses of data be conditioned by properties of self report data? In what ways do interpretations of self-report data shape interpretations of a study's findings? To…

The purpose of this paper is to analyze various dimensions for measurement of human behavior. Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be…

Noncredit enrollment at community colleges has grown significantly over the past two decades. However, unlike credit bearing programs, noncredit programs are seldomly empirically examined and evaluated, particularly those that are not grant funded. The lack of data results in a gap in knowledge about program effectiveness, as well as the students…

More and more domains such as industry, sport, medicine, Human Computer Interaction (HCI) and education analyze user motions to observe human behavior, follow and predict its action, intention and emotion, to interact with computer systems and enhance user experience in Virtual (VR) and Augmented Reality (AR). In the context of human learning of…

School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…

School climate has received considerable attention in the literature and educational policy as a potential target for school improvement and school safety efforts. This paper provides a critical review and synthesis of the literature on school climate, with a particular focus on topics related to measurement, data collection, analysis, as well as…

The Local Child Outcomes Measurement System (L-COMS) is a framework that identifies seven key components of a high-quality child outcomes measurement system at the local level. The L-COMS framework was designed to apply to all local programs regardless of their specific child outcomes measurement approach. Development of the L-COMS originated with…

Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…

Teachers are not always aware of how the classroom design influences teaching, particularly in many family and consumer sciences (FCS) classes that require studio space, such as apparel and interior design classes. The purpose of this paper is to introduce strategies to assess studio spaces that are designed for enhancement of student learning.…

This toolkit is designed to assist states as they plan for and carry out their efforts to collect, report, analyze, and use high-quality parent and family involvement data. It defines key concepts; offers guidance on ways to improve the quality of the collection, analysis, and use of parent and family involvement data; and provides resources and…

The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…

This report explores the definition and selection of science and technology-related (STEM) jobs in-depth. Examples from the United States, United Kingdom, and Australia are described, with similarities and differences highlighted. [This document was produced by the author(s) based on their research for "What Is STEM? The Need for Unpacking…

This article examines two methodological issues regarding ways of obtaining and analyzing outcome data for people with intellectual disabilities: (a) self-report and proxy-report data and (b) analysis of population-based data sets. Some people with intellectual disabilities have difficulties with self-reporting due to problems of understanding and…