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Jarratt, Lindsay; Bowman, Nicholas A.; Polgreen, Linnea A.; Kruckeberg, Thomas; Segre, Alberto M. – Change: The Magazine of Higher Learning, 2019
Since social connectedness is critical to student retention, colleges and universities have vested interest in identifying and providing assistance as early as possible. When students are struggling to fit in, a great deal of campus energy is invested in welcoming each new cohort of students and planning events to facilitate a sense of belonging.…
Descriptors: Dining Facilities, Academic Persistence, School Holding Power, College Students
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Langston, Randall; Wyant, Robert; Scheid, Jamie – Strategic Enrollment Management Quarterly, 2016
Both an art and a science, enrollment projections have become a major component to effective college and university fiscal planning. With stagnant or declining state budget support for public higher education along with an increasing emphasis on revenue generation, never before has predicting the size of an entering class become more imperative.…
Descriptors: Enrollment Management, Strategic Planning, Statistical Data, Predictor Variables
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Seixas, T. M.; da Silva, M. A. Salgueiro – Physics Teacher, 2015
When conducting experiments involving the measurement of physically related quantities, choosing an appropriate spacing for the experimental independent variable is a crucial procedure whose consequences may go beyond data graphical visualization. This is particularly true if the measured quantities are nonlinearly related and experimental errors…
Descriptors: Measurement, Data, Error of Measurement, Intervals
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Leckie, George; Pillinger, Rebecca; Jones, Kelvyn; Goldstein, Harvey – Journal of Educational and Behavioral Statistics, 2012
The traditional approach to measuring segregation is based upon descriptive, non-model-based indices. A recently proposed alternative is multilevel modeling. The authors further develop the argument for a multilevel modeling approach by first describing and expanding upon its notable advantages, which include an ability to model segregation at a…
Descriptors: Statistical Analysis, Models, Simulation, Measurement Techniques
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Motl, Robert W.; Learmonth, Yvonne C.; Pilutti, Lara A.; Gappmaier, Eduard; Coote, Susan – Research Quarterly for Exercise and Sport, 2015
An estimated 2.5 million people worldwide are living with multiple sclerosis (MS), and this disease may be increasing in prevalence. MS is a disease of the central nervous system that is associated with heterogeneous symptoms and functional consequences, and the current first-line disease-modifying therapies often become ineffective later in the…
Descriptors: Physical Activities, Physical Activity Level, Medical Research, Research Needs
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Braverman, Marc T. – American Journal of Evaluation, 2013
Sound evaluation planning requires numerous decisions about how constructs in a program theory will be translated into measures and instruments that produce evaluation data. This article, the first in a dialogue exchange, examines how decisions about measurement are (and should be) made, especially in the context of small-scale local program…
Descriptors: Evaluation Methods, Methods Research, Research Methodology, Research Design
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Century, Jeanne; Rudnick, Mollie; Freeman, Cassie – American Journal of Evaluation, 2010
There is a growing recognition of the value of measuring fidelity of implementation (FOI) as a necessary part of evaluating interventions. However, evaluators do not have a shared conceptual understanding of what FOI is and how to measure it. Thus, the creation of FOI measures is typically a secondary focus and based on specific contexts and…
Descriptors: Intervention, Program Implementation, Measurement Techniques, Evaluators
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Nimon, Kim; Reio, Thomas G., Jr. – Human Resource Development Review, 2011
This article describes why measurement invariance is a critical issue to quantitative theory building within the field of human resource development. Readers will learn what measurement invariance is and how to test for its presence using techniques that are accessible to applied researchers. Using data from a LibQUAL+[TM] study of user…
Descriptors: Human Resources, Labor Force Development, Social Theories, Reliability
Murphy, Marilyn, Ed.; Redding, Sam, Ed.; Twyman, Janet S., Ed. – Center on Innovations in Learning, Temple University, 2016
The "Handbook on Innovations in Learning", published in 2014, responded to a call by the U.S. Department of Education (ED) to "leverage the innovation and ingenuity this nation is known for to create programs and projects that every school can implement to succeed." In December 2015, passage of the "Every Student Succeeds…
Descriptors: Guides, Individualized Instruction, Minimum Competencies, Individual Characteristics
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Hur, Eun Hye; Glassman, Michael; Kim, Yunhwan – Educational Assessment, Evaluation and Accountability, 2013
This paper developed a Democratic Classroom Survey to measure students' perceived democratic environment of the classroom. Perceived democratic environment is one of the most important variables for understanding classroom activity and indeed any type of group activity, but actually measuring perceptions in an objective manner has been…
Descriptors: Classroom Environment, Test Construction, Program Validation, Democratic Values
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Fredricks, Jennifer; McColskey, Wendy; Meli, Jane; Mordica, Joy; Montrosse, Bianca; Mooney, Kathleen – Regional Educational Laboratory Southeast, 2011
Researchers, educators, and policymakers are focusing more on student engagement as the key to addressing low achievement, student boredom and alienation, and high dropout rates (Fredricks, Blumenfeld, and Paris 2004). As schools and districts seek to increase engagement, it is important for them to understand how it has been defined and to assess…
Descriptors: Learner Engagement, Psychometrics, Identification, Measures (Individuals)
Aspen Institute, 2012
What is meant by text complexity is a measurement of how challenging a particular text is to read. There are a myriad of different ways of explaining what makes text challenging to read, from the sophistication of the vocabulary employed to the length of its sentences to even measurements of how the text as a whole coheres. Research shows that no…
Descriptors: State Standards, Predictor Variables, Reading Ability, College Readiness
Sommers, Dixie – Occupational Outlook Quarterly, 2012
In an uncertain economy, reliable information about tomorrow's labor market can be a valuable tool in career planning. Understanding the future workforce helps an individual prepare for his/her place in it. When choosing among careers--or assisting others who are making such choices--it helps to know a few basics: the types and number of jobs…
Descriptors: Career Planning, Employment Patterns, Labor Market, Occupational Information
Van Beek, Michael; Bowen, Daniel; Mills, Jonathan – Mackinac Center for Public Policy, 2012
Assessing a high school's effectiveness is not straightforward. Comparing a school's standardized test scores to those of other schools is one approach to measuring effectiveness, but a major objection to this method is that students' test scores tend to be related to students' "socioeconomic" status--family household income, for…
Descriptors: Academic Achievement, Standardized Tests, Lunch Programs, Income
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Skouteris, Helen; McCabe, Marita; Ricciardelli, Lina A.; Milgrom, Jeannette; Baur, Louise A.; Aksan, Nazan; Dell'Aquila, Daniela – Early Child Development and Care, 2012
Child obesity research has generally not examined multiple layers of parent-child relationships during weight-related activities such as feeding, eating and play. A literature review was conducted to locate empirical studies that measured parent-child interactions and child eating and child weight variables; five papers met the inclusion criteria…
Descriptors: Obesity, Intervention, Prevention, Parent Child Relationship
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