東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

School influences on the level of te...

Philliber, Ashley E.

FindBook

Google Book

Amazon

博客來

School influences on the level of teen volunteerism: A secondary data analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	School influences on the level of teen volunteerism: A secondary data analysis./
作者:	Philliber, Ashley E.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	106 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
Contained By:	Dissertation Abstracts International78-10A(E).
標題:	Social research. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10260672
ISBN:	9781369788761

School influences on the level of teen volunteerism: A secondary data analysis.
Philliber, Ashley E.

School influences on the level of teen volunteerism: A secondary data analysis. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 106 p.

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.

Thesis (Ph.D.)--Capella University, 2017.

The current field of research has suggested positive outcomes for participants in volunteer community service programs, but it also suggests that measuring and predicting participation is difficult. This study reduces the current gap in the field regarding how to offer these programs in the best way possible to maximize participation and thus promote positive outcomes for teens. The purpose of this study was to discover, for high school students in a volunteer community service program, what school administration factors including school type, program type, class type, class size, and area type, were correlated with a greater number of hours of community service work completed. This information can be used to identify the best strategies public service leaders can use to predict higher rates of participation in future programs. The study was a secondary data analysis used a non-experimental quantitative correlational design; the finds were analyzed using a combination of T-tests, analysis of variance tests, and multiple regression equations. All data provided was secondary data from a previous study of the Teen Outreach ProgramRTM in the Pacific Northwest. The sample consisted of 3,450 students from 69 high risk schools who were randomly assigned to participate in this program between 2011 and 2014. Data was brought into STATA and analysis was run specific to each research question. Findings showed that participation in these programs was significantly higher when the programs were offered during the regular school day, during a regularly scheduled class, in large groups of 20 or more students, and if they are offered in non-alternative schools.

ISBN: 9781369788761Subjects--Topical Terms:

2122687
Social research.

School influences on the level of teen volunteerism: A secondary data analysis.
LDR:02611nmm a2200301 4500 001 2126584
005 20171128150727.5
008 180830s2017 ||||||||||||||||| ||eng d
020 $a 9781369788761
035 $a (MiAaPQ)AAI10260672
035 $a AAI10260672
040 $a MiAaPQ $c MiAaPQ
100 1 $a Philliber, Ashley E. $3 3288689
245 1 0 $a School influences on the level of teen volunteerism: A secondary data analysis.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 106 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: A.
500 $a Adviser: Kathleen F. Johnson.
502 $a Thesis (Ph.D.)--Capella University, 2017.
520 $a The current field of research has suggested positive outcomes for participants in volunteer community service programs, but it also suggests that measuring and predicting participation is difficult. This study reduces the current gap in the field regarding how to offer these programs in the best way possible to maximize participation and thus promote positive outcomes for teens. The purpose of this study was to discover, for high school students in a volunteer community service program, what school administration factors including school type, program type, class type, class size, and area type, were correlated with a greater number of hours of community service work completed. This information can be used to identify the best strategies public service leaders can use to predict higher rates of participation in future programs. The study was a secondary data analysis used a non-experimental quantitative correlational design; the finds were analyzed using a combination of T-tests, analysis of variance tests, and multiple regression equations. All data provided was secondary data from a previous study of the Teen Outreach ProgramRTM in the Pacific Northwest. The sample consisted of 3,450 students from 69 high risk schools who were randomly assigned to participate in this program between 2011 and 2014. Data was brought into STATA and analysis was run specific to each research question. Findings showed that participation in these programs was significantly higher when the programs were offered during the regular school day, during a regularly scheduled class, in large groups of 20 or more students, and if they are offered in non-alternative schools.
590 $a School code: 1351.
650 4 $a Social research. $3 2122687
650 4 $a Social psychology. $3 520219
650 4 $a Educational sociology. $3 519608
690 $a 0344
690 $a 0451
690 $a 0340
710 2 $a Capella University. $b Harold Abel School of Social and Behavioral Sciences. $3 1678347
773 0 $t Dissertation Abstracts International $g 78-10A(E).
790 $a 1351
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10260672