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001 ocn881458578;

003 OCoLC;

005 20141212070330.0;

006 m o d ;

007 cr bn|||||||||;

008 140617s2014 ncua ob 000 0 eng d;

035 a| (Sirsi) o881458578;

035 a| (OCoLC)881458578;

049 a| EREE;

090 a| GV183.6;

100 1 a| Schillo, David Richard,e| author.?| UNAUTHORIZED;

245 14 a| The effect of active video gaming on physical activity levels of students with developmental disabilities /c| by David Richard Schillo.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2014.;

300 a| 69 pages :b| color illustrations;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 1.37Mb2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2014.;

500 a| Presented to the faculty of the Department of Kinesiology.;

500 a| Advisor: James T. Decker.;

500 a| Title from PDF t.p. (viewed July 8, 2014).;

520 3 a| The purpose was to examine differences in physical activity levels of children (N = 24) with developmental disabilities in traditional adapted physical education activities compared with Nintendo Wii Fit active video gaming activities. Students' physical activity levels were monitored for one adapted physical education practicum session. Physical activity was measured via ActiGraph GT3X+ accelerometer. An dependent groups t-test was used to compare mean accelerometer activity counts per minute between the traditional adapted physical education activities condition and the Nintendo Wii Fit active video gaming condition. Cohen's delta (d) was calculated to provide an estimate of the size of the difference between groups. The difference between physical activity levels of children in traditional adapted physical education activities (8,958 ± 3,580 activity counts per minute) and active video gaming activities (8,834 ± 3,609 activity counts per minute) was not statistically significant (p > 0.05), and the size of the difference was small (d = 0.03).;

504 a| Includes bibliographical references.;

650 0 a| Children with disabilitiesx| Recreation.=| ^A4019;

650 0 a| Developmentally disabled children.=| ^A8563;

650 0 a| Exercise for children.=| ^A51868;

650 0 a| Video games and children.=| ^A538291;

653 a| Physical education;

653 a| Special education;

700 1 a| Decker, James T.,e| degree supervisor.?| UNAUTHORIZED;

710 2 a| East Carolina University.b| Department of Kinesiology.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/4420;

949 o| jgml;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 3485941;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3485941-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 6/17/2014x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3485941-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 6/17/2014x| ETDz| HERESOURCE;

The effect of active video gaming on physical activity levels of students with developmental disabilities / by David Richard Schillo.

Author/creator	Schillo, David Richard author.
Other author	Decker, James T., degree supervisor.
Other author	East Carolina University. Department of Kinesiology.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2014.
Description	69 pages : color illustrations
Supplemental Content	Access via ScholarShip
Subjects	Children with disabilities--Recreation. Developmentally disabled children. Exercise for children. Video games and children.

Summary	The purpose was to examine differences in physical activity levels of children (N = 24) with developmental disabilities in traditional adapted physical education activities compared with Nintendo Wii Fit active video gaming activities. Students' physical activity levels were monitored for one adapted physical education practicum session. Physical activity was measured via ActiGraph GT3X+ accelerometer. An dependent groups t-test was used to compare mean accelerometer activity counts per minute between the traditional adapted physical education activities condition and the Nintendo Wii Fit active video gaming condition. Cohen's delta (d) was calculated to provide an estimate of the size of the difference between groups. The difference between physical activity levels of children in traditional adapted physical education activities (8,958 ± 3,580 activity counts per minute) and active video gaming activities (8,834 ± 3,609 activity counts per minute) was not statistically significant (p > 0.05), and the size of the difference was small (d = 0.03).
General note	Presented to the faculty of the Department of Kinesiology.
General note	Advisor: James T. Decker.
General note	Title from PDF t.p. (viewed July 8, 2014).
Dissertation note	M.S. East Carolina University 2014.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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The effect of active video gaming on physical activity levels of students with developmental disabilities / by David Richard Schillo.

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