Conversely, more modern educational practices have suggested that youth learn more whenteachers give them choices (e.g., Schweinle et al., 2006; Stefanou, Perencevich, DiCintio, &Turner, 2004). For example, ninth- and tenth-grade students who felt that school teachers,parents, and school administrators acted in autonomy-supportive ways had higher levels <strong>of</strong> selfdeterminedmotivation to stay in school; their perceptions <strong>of</strong> these social agents' meeting theirneeds for competence, autonomy, or both influenced their motivation, (Vallerand, Fortier, &Guay, 1997).High school physical education classes have also been studied using a SDT framework. In onestudy, Standage, Duda, and Ntoumanis (2003) found that the manner in which studentsperceive situational cues from their PE teacher related to their intentions to engage in futurephysical activities. Students felt more autonomous, competent, and related when they perceivedan autonomy-supportive environment low in controlling features, and to a lesser extent,perceived PE class as <strong>of</strong>fering a mastery (e.g., cooperative, volitional) climate.In a related study, Ntoumanis (2005) found that PE teachers’ support <strong>of</strong> their 15-year-oldstudents’ needs for competence, relatedness, and autonomy positively predicted selfdeterminedmotivation. This was further linked to positive affective, cognitive, and behavioraloutcomes, and positive intentions to engage in optional PE activities the next year. Studentswho felt competent in freely-chosen PE were more likely than those for whom PE was requiredto find it interesting and want to continue participation. Students also felt related to others inthe friendships made through their PE participation. These studies suggest that students’experiences and participation levels can be influenced by opportunities for self-determinedmotivation.Soenens and Vansteenkiste (2005) examined the effects <strong>of</strong> the provision <strong>of</strong> autonomy oneducational outcomes. They found that teachers’ support <strong>of</strong> autonomy was significantly linkedto adolescent students’ grade point average, levels <strong>of</strong> vocational exploration and commitment,and self-determination in school- and job-seeking behaviors. Self-determined motivation toengage in academic activities was associated with higher perceived academic competence andhigher grades. As mentioned earlier, when the need for autonomy is met, self-determination toengage in prosocial behaviors <strong>of</strong>ten emerges.One-on-One MentoringResearch findings show that youth in quality mentoring relationships exhibit higher levels <strong>of</strong>school attendance and academic performance, better attitudes towards school, lower levels <strong>of</strong>substance abuse and some deviant behaviors, and improved family relationships than thosewithout mentors (DuBois, Holloway, Valentine, & Cooper, 2002; Grossman & Tierney, 1998;Jekielek, Moore, Hair, & Scarupa, 2002). As noted, these outcomes only occur in certain types<strong>of</strong> mentoring relationships. It appears that youth realize the most benefits from mentoringwhen they can establish a supportive, long term relationship with a mentor who addresses theirneed to experience competence and autonomy.Certain characteristics are associated with mentoring relationships that foster feelings <strong>of</strong>relatedness. For example, the frequency <strong>of</strong> contact between mentor and mentee and theduration <strong>of</strong> their relationship appear very important. Findings from a large study <strong>of</strong> Big BrotherBig Sister participants, suggest that relationships that last at least 12 months produce thegreatest positive benefits, whereas relationships that last less than three months negativelyimpact self-worth and academic efficacy (Grossman, & Rhodes, 2002). Similar findings showthat more contact between mentors and mentees also lead to many <strong>of</strong> the same benefits
mentioned earlier (DuBois et al., 2002; Jekielek et al., 2002). The amount <strong>of</strong> training adultsreceive before and during mentoring also predicts overall youth-adult relationship quality(DuBois et al., 2002; Jekielek et al., 2002; Karcher, Nakkula, & Harris, 2005).Although numerous studies examine the outcomes <strong>of</strong> mentoring programs, fewer studiesconsider the quality <strong>of</strong> mentoring relationships (DuBois et al., 2002; Karcher et al., 2005). Fromexisting research, it appears that, as would be expected, mentor and mentee characteristicsjointly influence relationships quality. In a study <strong>of</strong> older adolescent mentors, researchers foundthat mentors’ perception <strong>of</strong> the mentor-mentee relationship was predicted by mentors’ selfefficacyand mentees’ propensity to seek support (Karcher et al., 2005). Additionally, individualswho indicated extrinsic motivations (e.g., building their resume) for mentoring also reportedmore negative perceptions <strong>of</strong> their mentor-mentee relationships.These findings speak to the need for adequate mentor training in order to increase levels <strong>of</strong>self-efficacy, as well as to teach mentors methods <strong>of</strong> encouraging mentees to seek their helpand support (Karcher et al., 2005). It is interesting to note that these factors are strongerpredictors <strong>of</strong> relationship quality than mentee’s risk status (Karcher et al., 2005). Findings alsoshow that shared interests between mentor and mentee is the strongest predictor <strong>of</strong> qualityrelationships, even more so than gender or ethnic matching (Herrera, Sipe, McClanahan, &Arbreton, 2000).While providing training and making good mentor-mentee matches appear to be importantcomponents <strong>of</strong> quality relationships, mentee characteristics also deserve consideration. Findingssuggest that the types <strong>of</strong> youth served influences program impact and effectiveness. Forinstance, individuals who come from risky environments appear to experience greater benefitsfrom mentoring than youth from less risky backgrounds (DuBois et al., 2002). These findings donot hold true for youth with individual-level risk factors, although it may mean that mentorsneed additional training in order to effectively work with more behaviorally-challenged youth(DuBois et al., 2002). These results align with Karcher et al.’s (2005) findings discussed earlierwhich show that mentors’ self-efficacy is a better predictor <strong>of</strong> relationship quality than menteerisk status. In other words, if mentors receive training that increases confidence in their abilityto mentor, they can successfully work with more difficult youth.Mentees perceive their mentoring relationship to be most positive when they have opportunitiesto engage in both social and academic activities with their mentors. This is especially the casewhen mentors allow them to play a role in making decisions regarding activities, thus meetingyouths’ need to experience autonomy and competence (Herrera et al., 2000). Findings from astudy <strong>of</strong> youths’ perceptions <strong>of</strong> mentoring relationships show that youth who perceive theirmentor as <strong>of</strong>fering moderate levels <strong>of</strong> structure and activity participation as well as conditionalsupport experience more positive outcomes than youth whose mentors provide either lowstructure or unconditional support (Langhout, Rhodes, & Osborne, 2004). Mentors were mosteffective when they provided support contingent upon high expectations, while still allowing foractive participation and independence. These findings align with outcomes associated withdifferent parenting styles (Baumrind, 1991; Langhout et al., 2004).Mentoring programs, when structured effectively, have the ability to provide youth participantswith a wide range <strong>of</strong> positive benefits. It appears that those relationships that best addressyouths’ need to experience relatedness, competence and autonomy provide the greatestbenefits. Certain considerations need to be taken at both the program and individual level inorder to promote the development <strong>of</strong> positive mentoring relationships. Additionally, and
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Winter 2008Volume 3 Number 3Editor
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12 to 18 years old. Fourteen of the
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Therefore, there was a mixed relati
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Youth respondents identified two ob
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are developed through working in a
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Seevers, B.S., & Dormody, T.J. (199
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With the many opportunities that yo
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meaningfully reduced involving dedu
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StaffingXTime/Schedule X X XTrainin
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“Involving adults that will allow
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“They can't drive or do not have
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page in understanding why youth voi
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Parker, L. (1999). If all youth ser
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However, the literature is mixed in
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group was the quality of the progra
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Table 1Reasons for Non-Attendance:
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easons given was six. Sixty-three p
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The non-family-related activities t
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“Catch ‘Em Being Good:”An Ext
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In 2001, the WVUES received a schoo
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to leverage the resources of the co
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4. Most primary behavior incidents
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Recommendations for developing prog
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Cross-Cultural UnderstandingThrough
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that plague these nations such as p
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2003). Youth leadership training in
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We believe that the USPORT program
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West Virginia’s Response to theRo
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Ensuring good oral health requires
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Table 1Correlations between Planner
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problems in this rural state…This
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vacuum. Determination of factors, a
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ReferencesBaldwin, C., & Caldwell,
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Purpose of StudyThe purpose of this
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Students in the High computer gamin
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Do Higher Levels of 4-H LeadershipA
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IntroductionEmotional Intelligence
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second section examined demographic
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a constructive manner. The group is
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differences in the scores for the 1
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Adaptability include “Reality Tes
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ReferencesAmerican Academy of Pedia
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Healthy Kids, Healthy Families:A Co
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and a half million U.S. youth (ages
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Families. In partnering counties, p
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Healthy Families was then offered a
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Kamberelis, G., & Dimitriadis, G. (
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Change It Up!What Girls Say About R
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In addition, the study summarizes t