NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 13 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kruse, Adam J. – International Journal of Music Education, 2016
Music education scholarship in the areas of popular, vernacular, and participatory musicianship has grown in the past decades; however, music education research concerned specifically with hip-hop has been relatively scarce. Because hip-hop music can differ tremendously from the traditional western genres with which many music educators are most…
Descriptors: Music Education, Popular Culture, Teaching Methods, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Ahmadi, Matthew N.; Pfeiffer, Karin A.; Trost, Stewart G. – Measurement in Physical Education and Exercise Science, 2020
This study developed and evaluated machine learning algorithms to predict children's physical activity category from raw accelerometer data collected at the hip. Fifty participants (mean age = 13.9 ± 3.0 y) completed 12 activity trials that were categorized into 5 categories: sedentary (SED), light household activities and games (LHHAG),…
Descriptors: Measurement Equipment, Artificial Intelligence, Classification, Physical Activities
Peer reviewed Peer reviewed
Direct linkDirect link
Montoye, Alexander H. K.; Pivarnik, James M.; Mudd, Lanay M.; Biswas, Subir; Pfeiffer, Karin A. – Measurement in Physical Education and Exercise Science, 2016
The purpose of this article is to compare accuracy of activity type prediction models for accelerometers worn on the hip, wrists, and thigh. Forty-four adults performed sedentary, ambulatory, lifestyle, and exercise activities (14 total, 10 categories) for 3-10 minutes each in a 90-minute semi-structured laboratory protocol. Artificial neural…
Descriptors: Young Adults, Comparative Analysis, Physical Activities, Measurement Equipment
Peer reviewed Peer reviewed
Direct linkDirect link
Pfeiffer, Karin A.; Lisee, Caroline; Westgate, Bradford S.; Kalfsbeek, Cheyenne; Kuenze, Christopher; Bell, David; Cadmus-Bertram, Lisa; Montoye, Alexander H.K. – Measurement in Physical Education and Exercise Science, 2023
A universal approach to characterizing sport-related physical activity (PA) types in sport settings does not yet exist. Young adults (n = 30), 19-33 years, engaged in a 15-min activity session, performing warm-ups, 3-on-3 soccer, and 3-on-3 basketball. Videos were recorded and manually coded as criterion PA types (walking, running, jumping, rapid…
Descriptors: Athletics, Physical Activity Level, Barriers, Measurement Equipment
Peer reviewed Peer reviewed
Direct linkDirect link
Gerrard-Longworth, Simon; Preece, Stephen J.; Clarke-Cornwell, Alexandra M.; Goulermas, Yannis – Measurement in Physical Education and Exercise Science, 2020
Previous activity classification studies have typically been performed on normal weight individuals. Therefore, it is unclear whether a generic classification algorithm could be developed that would perform consistently across individuals who fall within different BMI categories. Acceleration data were collected from the hip and ankle joints of 50…
Descriptors: Classification, Body Weight, Body Height, Body Composition
Peer reviewed Peer reviewed
Direct linkDirect link
McDowell, Brona C.; Salazar-Torres, Jose J.; Kerr, Claire; Cosgrove, Aidan P. – Physical & Occupational Therapy in Pediatrics, 2012
-While passive range of motion (PROM) is commonly used to inform decisions on therapeutic management, knowledge of PROM of children with spastic cerebral palsy (CP) is limited. A population-based sample of 178 children with spastic CP (110 male; unilateral, n = 94; bilateral, n = 84; age range 4-17 years) and 68 typically developing children (24…
Descriptors: Cerebral Palsy, Motion, Classification, Assistive Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Ferland, Chantale; Lepage, Celine; Moffet, Helene; Maltais, Desiree B. – Physical & Occupational Therapy in Pediatrics, 2012
This study aimed to quantify relationships between lower limb muscle strength and locomotor capacity for children and adolescents with cerebral palsy (CP) to identify key muscle groups for strength training. Fifty 6- to 16-year-olds with CP (Gross Motor Function Classification System level I or II) participated. Isometric muscle strength of hip…
Descriptors: Muscular Strength, Physical Fitness, Cerebral Palsy, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Akinci, Buket; Yeldan, Ipek; Celik, Selda; Satman, Ilhan – Research Quarterly for Exercise and Sport, 2019
Purpose: This study aimed (1) to compare physical activity (PA) indicators, metabolic biomarkers, and comorbidity, (2) to investigate the relationship between PA indicators and metabolic biomarkers, comorbidity and (3) to identify barriers to PA in patients with type 2 diabetes (T2DM) who are using oral hypoglycaemic agent (OHA) or combined OHA…
Descriptors: Diabetes, Biochemistry, Correlation, Physical Activity Level
Peer reviewed Peer reviewed
Direct linkDirect link
Niewiara, Aleksandra – Language Sciences, 2010
The paper investigates Polish punk and hip hop (rap) song lyrics broken down into frequency lists. In an analysis inspired by MacLaury's view of categorization, the construals of punk and hip hop worldviews are shown to vary in the distance of the observer from the world, the width of the viewing frame, as well as the granularity and density of…
Descriptors: Singing, Form Classes (Languages), Polish, Popular Culture
Peer reviewed Peer reviewed
Direct linkDirect link
Johnson, Kerri L.; Lurye, Leah E.; Tassinary, Louis G. – Child Development, 2010
Two studies examined how children between ages 4 and 6 use body shape (i.e., the waist-to-hip-ratio [WHR]) for sex categorization. In Study 1 (N = 73), 5- and 6-year-olds, but not 4-year-olds, selected bodies with increasingly discrepant WHRs to be "most like a man" and "most like a woman." Similarly, sex category judgments made by 5- and…
Descriptors: Cues, Eye Movements, Preschool Children, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
dos Santos, Adriana Neves; Pavao, Silvia Leticia; Santiago, Paulo Roberto Pereira; Salvini, Tania de Fatima; Rocha, Nelci Adriana Cicuto Ferreira – Research in Developmental Disabilities: A Multidisciplinary Journal, 2013
This study aimed to investigate the relationship between sit-to-stand (STS) movement, knee extensor torque and social participation in children with cerebral palsy (CP). Seven spastic hemiplegic CP patients (8.0 plus or minus 2.2 years), classified by the Gross Motor Function Classification System as I and II, and 18 typical children (8.4 plus or…
Descriptors: Classification, Motor Development, Cerebral Palsy, Psychomotor Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Zhu, Zheng; Chen, Peijie; Zhuang, Jie – Research Quarterly for Exercise and Sport, 2013
Purpose: Many ActiGraph accelerometer cutoff points and equations have been developed to classify children and youth's physical activity (PA) into different intensity levels. Using a sample from the Chinese City Children and Youth Physical Activity Study, this study was to develop new ActiGraph cutoff points for moderate-to-vigorous physical…
Descriptors: Foreign Countries, Measurement Equipment, Physical Activities, Physical Activity Level
Peer reviewed Peer reviewed
Direct linkDirect link
Galli, Manuela; Cimolin, Veronica; Rigoldi, Chiara; Tenore, Nunzio; Albertini, Giorgio – Research in Developmental Disabilities: A Multidisciplinary Journal, 2010
The aims of this study are to compare quantitatively the gait strategy of the right and left hemiplegic children with Cerebral Palsy (CP) using gait analysis. The gait strategy of 28 right hemiparetic CP (RHG) and 23 left hemiparetic CP (LHG) was compared using gait analysis (spatio-temporal and kinematic parameters) and considering the hemiplegic…
Descriptors: Cerebral Palsy, Motion, Patients, Assistive Technology