Abstract
This study examines community service effects on adolescents’ prosocial behaviors as mediated through experiences made during service. Based on theoretical assumptions by Youniss and Yates, we suggest that personal agency experiences and being confronted with situations that can challenge the own world views (ideology experiences) serve as mediators. The data were collected in a two-wave longitudinal study surveying 2,408 German adolescents aged between 14 and 15 years. Based on true intraindividual change models, the results support the expected mediation of service effects on prosocial behaviors through agency, but not ideology experiences. The findings suggest that community service affects prosocial behaviors through a behavioral pathway.
Adolescence is a time of major changes in various developmental domains. Young people start to think about who they are and how to live their lives. Together with these major steps in identity development (Harter, 2006; Kirshner, 2009; Luyckx, Goossens, Soenens, & Beyers, 2006), there are also crucial changes in adolescents’ prosocial behaviors (e.g. Eisenberg, Fabes, & Spinrad, 2006). From a Positive Youth Development (PYD) perspective (e.g. Scales, Roehlkepartain, Neal, Kielsmeier, & Benson, 2006; Sherrod, 2007), external developmental assets have the potential to trigger identity and behavioral changes in adolescents. Participation in community service is one opportunity for structured and supervised leisure activities (Eisenberg et al., 2006, for German adolescents Gensicke & Geiss, 2010). Therefore, community service can be seen as an important contextual asset for adolescent development and thus as an important context fostering prosocial behaviors. Nevertheless, the processes how community service can promote adolescents’ positive development, e.g. prosocial behaviors, are hardly understood. Based on the theoretical ideas by Youniss and Yates (1997), the present study focuses on the processes linking community service and prosocial behaviors.
Theoretical framework explaining service effects
As proposed in PYD theorizing, community service is seen as an external asset for the development of prosocial behaviors and shall serve as explanatory variable for prosocial behaviors in this study. A very broad definition of community service involves “… activities dedicated to the welfare of others or to society in general” (Magen & Aharoni, 1991, p. 127). Thus, community service does not exclusively address individual people in need, but also involves the focus on the society. Therefore, a direct contact with people in need is not necessarily part of it. Moreover, a major share of German adolescents’ community service activities takes place in a non-organizational and rather project-based context (Picot & Geiss, 2007). Thus in Germany, community service does not necessarily take place in an organizational framework.
In the literature, two kinds of models on community service are proposed. First, there are models focusing on the determinants of being engaged in community service (e.g. Marta & Pozzi, 2008; Penner, 2004; Snyder & Omoto, 2007). Second, and for the present study of greater relevance, there are models on how community service can affect youth development. Youniss and Yates (1997) formulated a theoretical model linking the experiences made during community service to developmental outcomes. Adolescents may get in contact with people in need that are not part of their everyday lives and may learn about their lives and biographies as well as the circumstances that have led to their precarious life situations. Furthermore, even when there is no such direct contact with people in need, adolescents may find themselves in situations broadening their perspectives on living together in a society, for instance during service in an environmental project or a political campaign. Moreover, youths’ service activities can take place within a structured or organized context (Penner & Finkelstein, 1998). Those organizations running service activities often provide a certain set of world views that serve as rationales for attending service (Youniss & Reinders, 2010; Youniss & Yates, 1997).
One major goal of this study is to predict adolescents’ prosocial behaviors. Marta and Pozzi (2008, see also Penner, 2004) identified three conceptually different approaches: 1) prosocial behaviors as spontaneous, short-term, and unplanned actions in favor of an unknown person in direct contact, 2) prosocial behaviors as long-term and continuing assistance to family members or close relatives, and 3) prosocial behaviors as volunteerism, defined as sustained, planned actions benefiting strangers within an organizational setting. The present study aims to explain the first form of prosocial behaviors.
Research in regards to demographic background variables that should be considered as potential covariates showed differences in prosocial behavior and community service due to gender and educational background. Wilson and Musick (1997) showed that women rated altruism, empathy, and helping behavior as more valuable than men did. Furthermore, girls generally seem to be more likely than boys to report feelings of compassion and a stronger sense of being responsible for caring for others in need (Flanagan, Bowes, Jonsson, Csapo, & Sheblanova 1998; Gensicke, 2005). Moreover, community service participation is strongly associated with the level of education and family-income (Kuhn, Uhlendorf, & Krappmann, 2000; Marzana et al. 2012). For instance, in a German study, young people attending a higher school track were more likely to do voluntary work than were students from a lower school track (Gensicke, 2005).
Youniss and Yates (1997) emphasize two important experiences that adolescents can make during community service: ideology and agency experiences. Ideology experiences are those experiences that have the potential to change the adolescents’ personal beliefs about how the world works, how the social system is organized, and how one’s role in the world is defined, which Erikson (1968) called ideology. Harter’s (2006) concept of self-portrait, as a cognitive and social construction about the world and oneself, can be linked to this idea. Especially during adolescence, changes in these self-portraits are proactively driven by the adolescents themselves as well as by external social influences (Harter, 2006; Kirshner, 2009). During community service, adolescents have the opportunity to make so called ideology experiences that help them to construe a convincing world image, positioning themselves in a larger societal context (Erikson, 1968; McIntosh, Metz, & Youniss, 2005).
Moreover, during the majority of community service activities, adolescents can learn that they can actually provide a valuable contribution to a good cause. They can attribute the results of their actions internally and, thus, develop positive perceptions of their capabilities. Therefore, community service provides an opportunity for adolescents to experience that they can efficaciously and positively affect their environment. This concept of perceived agency is conceptually close to Bandura’s concept of self-efficacy (2001). According to Youniss and Yates (1997), experiences that enable the adolescents to feel efficacious, are called agency experiences.
Following Youniss and Yates (1997), these experiences trigger a process of identity changes. This process is called transcendence and involves three dimensions (see Figure 1). The term transcendence describes the process of shifting the egocentric focus of oneself towards a more interconnected self (Furrow & Wagener, 2003; Yates & Youniss, 1998). First, service triggers a process of reflecting on or rethinking one’s stereotypes and attitudes. Adolescents start reconsidering their beliefs against the backdrop of the experiences they made during service. Second, Youniss and Yates (1997) suggest that adolescents gain a new perspective on their own lives and a higher sense of social responsibility due to their service experiences. These changed perspectives, as well the agency experiences during community service, trigger a feeling of having the power and the responsibility of making a difference for the benefit of the society, leading to an increased willingness to engage in prosocial behaviors. Third, young people should start thinking about their own life as being part of a larger society and start reasoning about social problems and societal injustices. In order to find solutions the willingness to political participation should be enhanced.

Theoretical model of community service.
Empirical status of Youniss’ and Yates’ model on community service
In the following section we shortly summarize findings concerning adolescents’ prosocial behaviors and community service activities. According to Yates’ and Youniss’ (1996) review, adolescents who engaged in community service were more socially-oriented than adolescents who were not engaged. More recent research showed that participating in community service is positively associated with a prosocial development (Carlo, Okun, Knight, & de Guzman, 2005; Metz, McLellan, & Youniss, 2003; Youniss & Reinders, 2010), helpfulness, other-oriented empathy (Penner & Finkelstein, 1998), prosocial value motivation (Carlo et al., 2005), social responsibility (Scales, Blyth, Berkas, & Kielsmeier, 2000), and prosocial norms (Hansen, Larson, & Dworkin, 2003). One of the few published longitudinal studies reported positive effects of community service on adolescents’ prosocial behaviors over time (Reinders & Youniss, 2006). Janoski, Musick, and Wilson (1998) showed that voluntary work undertaken in high school facilitated prosociality above and beyond school age.
Another line of research has provided evidence for the suggested processes involved in community service participation effects on prosocial behaviors. In their qualitative study on community service, Youniss and Yates (1997) concluded that the agency and ideology experiences as well as instructed discussions and reflections on the experiences contributed to adolescents’ willingness to helping behaviors. From the authors’ perspective, adolescents’ ideologies were challenged by getting in contact with people in need as well as by working on behalf of an organization’s rationale during community service. Moreover, students learned that they can actually provide support for people in need, resulting in the experience of being self-efficacious. Reinders and Youniss (2006; Youniss & Reinders, 2010) presented longitudinal evidence in an American sample, showing that different types of service (interaction with people in need vs. no interaction) affected helpfulness in different ways, depending on the experiences the adolescents made. This was supported by parallel cross-sectional analyses in a German sample (Youniss & Reinders, 2010).
The present study
Previous research already showed the relationship between service and several outcomes. Nevertheless, mechanisms and processes leading to these relations are hardly understood or tested. The present study examines the effects of community service (vs. no service) on prosocial behaviors in adolescence. To our knowledge, no systematic longitudinal quantitative empirical analysis has been conducted testing the mediation assumptions formulated by Youniss’ and Yates’ (1997). Thus, we investigate the role of agency and ideology experiences in explaining the effect of community service on prosocial behaviors. We expect an indirect effect of being engaged in community service on prosocial behaviors via agency and ideology experiences. Adolescents who are active in service are expected to make more experiences regarding their own efficacy (agency experiences) and with situations that might change their ideologies (ideology experiences) than adolescents who are not engaged in community service. Agency and ideology experiences should subsequently be linked to more prosocial behaviors. In all analyses, the effects of potential confounders (gender and school track) are controlled.
The present study goes beyond the existing literature in several ways. First, this longitudinal study allows for testing the direction of effects between community service and prosocial behaviors. Second, the indirect effect of community service on prosocial behaviors through agency and ideology experiences was never tested comprehensively. Third, the theoretical model by Youniss and Yates (1997) is mainly based on a qualitative study. The present study aims to test the assumptions in a quantitative study. Finally, most research in this field was conducted in the US. In order to test the model’s assumptions in a more general way, we use a representative German sample. In Germany, there is only voluntary and no required community service. This is one reason why community service in adolescence is more common in the USA than in Germany (Hofer, 1999). If the theoretical assumptions hold in this different social context, the support of the proposed processes is much stronger.
Method
Sample
The analyses presented here used data from the longitudinal research project Youth. Engagement. Political Socialization (Reinders, 2014). The main goal of this project is to investigate effects of participating in community service on adolescents’ social development using a nationally-representative sample of 14–15-year-olds and following them on a yearly basis. The data was collected through computer-based telephone interviews, which is a timely and cost-efficient method to survey large and representative samples with the necessary geographical coverage (Bennett & Steel, 2000). The sample is a stratified random sample (by gender and school track) drawn from the data of the federal registry offices. Adolescents without informed parental consent and those who were unable to participate due to limited German language skills, emotional or intellectual handicaps were excluded. One year later, the adolescents were contacted again for a second wave.
At the first wave of data collection, 2,408 adolescents were interviewed (46.9% female; mean age: M = 14.50, SD = 0.50, age range: 14–15). Formal achievement-based tracking characterizes the organization of high schools in Germany, offering three major school tracks, namely a high track (“Gymnasium”), a middle track (“Realschule”), and a low track (“Hauptschule”). The latter two tracks were merged into one category in this study, because in Germany, community service rates and effect patterns seem not to differ between these tracks (Gensicke, 2010). Of the adolescents, 50.7% attended the highest school track and 49.3% attended lower school tracks. At the second wave of data collection, 1,825 adolescents participated (49.1% female; mean age: M = 15.51, SD = 0.58, age range: 14–17; 53.5% attended the highest school track). The participants were predominantly from an ethnic German background (84.5%). All participants were interviewed by using the same standardized interview at T1 and T2.
Measures
Community service was measured along two steps at both measurement points: First, participants were asked if they were “… voluntarily active for other people or a good cause” at that (actual) time or during the last 12 months. In a second step, the adolescents were asked to name all those activities they actually do or did in the last year in that respect. This well-established method was chosen to prevent an underestimating of the community service rates (Kuenemund, 2006). The resulting pool of activities was coded in regards to the above described definition of community service by three raters, following the criteria a) planned action, b) longevity or repeated action, c) helping behavior outside the family. According to our definition, and in contrast to Penner (2004), we intentionally included community work within and without an organizational context taking into account that service activities in Germany can take place in rather informal projects and initiatives (Beher, Liebig, & Rauschenbach, 1999; Picot & Geiss, 2007; Reinders & Youniss, 2006). This second step prevented an overestimation of service rates (Kuenemund, 2006). Examples of community service activities are given in the Appendix.
To ensure that all adolescents focus on the same time period regarding their activities and experiences, we employed the adolescents’ reports collected at the second measurement occasion. Then, a dichotomous variable was created contrasting adolescents who were not involved in community service in the last year, measured at T2 (n = 900, 49.3%), to adolescents who were (n = 925; 50.7%). Compared with national statistics of 14–16-year-olds, the community service rate in this sample is somewhat larger (36%–38%; Gensicke & Geiss, 2010). This might be due to different operationalizations of community service. On the international level, the community service rate in this sample is about average (Flanagan et al., 1998: raging between 16% and 68%).
Prosocial behaviors, defined as helping behaviors toward unknown people in everyday life, was measured by six items (Penner, Fritzsche, Craiger, & Freifeld, 1995; German adaptation by Reinders, 2006), using a four-point rating scale (1 = never to 4 = very often). The reliability of the scale is sufficient (Cronbach’s α: T1 = .74; T2 = .80). The items represent the self-reported helpfulness component of the original measurement by Penner et al. (1995). 1
Agency experiences, defined as the experience of personal effectiveness resulting from own actions, was also measured by six items (Reinders, 2005; Reinders & Youniss, 2006), using a four-point rating scale (1 = I do not agree at all to 4 = I totally agree). The reliability of this scale was good (Cronbach’s α: T1 = .80; T2 = .90).
The second mediator, ideology experiences, as the experience of changes in one’s self-portrait was also measured by six items (Reinders, 2005; Reinders & Youniss, 2006) on a four-point scale (1 = I do not agree at all to 4 = I totally agree). The reliability of the scale was good (Cronbach’s α: T1 = .82; T2 = .86).
A complete list of items is presented in Table A1, in the Appendix. Agency and ideology experiences were reported by all adolescents using the same wording. For those who were active in community service, the questions referred to the experiences during service. The others were asked to think about free-time activities while responding. Those two groups were identified in the first step of the measurement of community service. The computer-assisted survey was adapted to the answer on that question.
Analyses
All analyses were conducted using structural equation modeling techniques with Mplus 6.1 (Muthén & Muthén, 2010). Missing data were handled by the full information likelihood algorithm. Thus, cases with missing data were not excluded, but all model parameters were estimated based on the cases with complete data and the (conditional) missing values under the missing at random assumption. As compared to listwise deletion, this procedure does not lead to the common disadvantages, such as losing statistical power or biased parameter estimation (Graham, 2009). Missing data on all variables proved to be completely at random, Little’s MCAR test (R. Little, 1988): χ 2 (17) = 14.13, p = .66.
To exploit the full potential of the longitudinal data set, True Intraindividual Change (TIC) models were applied (Steyer, Partchev, & Shanahan, 2000). The basic modeling idea of this approach is depicted in Figure 2. The variable of interest is measured by two item parcels for each time point (Y11, Y21 at T1 and Y12, Y22 at T2). The time 1 manifest variables (Y11, Y21) are explained by one latent intercept variable and an error term. The time 2 manifest variables (Y12, Y22) are explained by the latent intercept and the change variables (plus error term). Therefore, the meaning of the first latent variable is the baseline measurement at the first point of measurement. Through this measurement model, the variances of the T2 manifest measures splits of into intercept and change variance. Hence, the second latent variable represents the change variance between measurement occasions. In order to secure the same meaning or metric of the latent variables the loadings for each item parcel are set equal across the latent variables. The major advantage of this approach over cross-lagged analyses is that true latent mean changes in the construct are modeled. Simply spoken, with those analyses it is possible to predict the interindividual variance in latent means (intercepts) and the interindividual variance in the latent mean changes over time. In standard cross-lagged analyses, however, only rank-order changes between measurement occasions are modeled (Rogosa, 1995).

Schematic true individual change model.
For both mediators (agency and ideology experiences) and the dependent variable (prosocial behaviors), baseline intercepts and latent change variables were specified using True Intraindividual Change models. For each construct two item parcels were created, using the item-to-construct balance approach (T. D. Little, Cunningham, Shahar, & Widaman, 2002). In the error covariance matrix of the manifest variables, the diagonal and the covariances between the error terms of those manifest variables referring to parallel item parcels across measurement occasions were estimated to control for measurement variance (see correlated uniqueness; Marsh, Byrne, & Craven, 1992).
In a first step, a descriptive model was specified. Here, only the six latent variables were estimated (no controls, no predictions) to obtain the unadjusted latent means and variances of the constructs. In a second step, the mediation model was tested. All six latent variables (intercepts and changes in the mediators and the dependent variable) were predicted by the dichotomous community service variable (1 = no service, 2 = service) as well as the control variables school track (1 = low, 2 = high) and gender (1 = male, 2 = female). The intercept of the adolescents’ prosocial behaviors was predicted by the intercepts of the mediators. The changes in prosocial behaviors were regressed on both the intercepts and the changes of the mediators. Thus, there is a time-lagged prediction of the dependent variable, controlled for contemporaneous effects of the changes in the mediator variables. The mediation model is presented in Figure 3.

Mediation model.
All correlations between the intercepts and changes for the same construct as well as all correlations between the intercepts and changes of the mediators were estimated. In this mediation model, the estimates of the total (effects of the independent on the dependent variable without considering the mediators), the direct (effects of the independent on the dependent variable controlled for mediator effects), and the indirect effects (effects of the independent on the dependent variable via the mediators) were obtained through the MODEL INDIRECT option in Mplus. For testing the mediation on statistical significance bootstrapping methods were applied (MacKinnon, 2008). We used 10,000 resampling cycles in order to yield distribution estimates for all model parameters. A 95% confidence limit was used to determine the significance of the indirect effect. If the zero is not included in this interval, the indirect effects can be considered as statistically significant. Please note, that a statistically significant total effect is not necessary for the interpretation of indirect effects (e.g. MacKinnon, Krull, & Lockwood, 2000; Shrout & Bolger, 2002).
Results
Descriptive results
The descriptive model showed a good fit to the data, χ 2 (36, n = 2,408) = 90.77, p = .03; RMSEA = .03, SRMR = .01; CLI = .99; TLI = .99. The means and variances of the latent variables are depicted in Table 1. The mediators showed small, yet significant, decreases over time, while the dependent variable slightly increased. Adolescents reported less agency and ideology experiences and more prosocial behaviors at T2. More interestingly, the variances (s2 ) of the intercepts and changes were significantly different from zero. Thus, there is substantial interindividual variation that can be explained.
Results of the descriptive model.
Note. n = 2,408. All variables are rated on a 4-point Likert scale, ranging from 1 to 4. Higher scores indicate more of that quality.
Main analyses
The mediation model fitted the data well, χ2 (56, n = 2,408) = 192.15, p < .001; RMSEA = .03, SRMR = .02; CLI = .99; TLI = .98. The latent intercorrelations of the variables can be taken from Table 2. The regression coefficients are reported in Table 3 and Figure 3. There were a few predictions by control variables. Boys reported stronger changes in their agency experiences than girls (β = −.07**). The general level of ideology experiences was higher for girls than for boys (β = .06**), so was the level of prosocial behaviors (β = .09**). Adolescents attending the lower school track reported higher levels of ideology experiences than students from the higher school track (β = −.10**).
Correlations of the variables.
Note. n = 2,408. *p < .05; **p < .01. Community Service (1 = not involved in service, 2 = involved in service), gender (1 = male, 2 = female) and school track (1 = low, 2 = high) are dichotomized variables. All other variables are rated on a 4-point Likert scale, ranging from 1 to 4. Higher scores indicate more of that quality. The correlations are zero-order latent correlation obtained in Mplus. Correlations with regard to dichotomous variables (gender, community service, school track) are Point-biserial correlations. (In this special case, they are mathematically identical to Pearson correlations.)
Results of the mediation model.
Note. n = 2,408. *p < .05; **p < .01. Community Service (1 = not involved in service, 2 = involved in service), gender (1 = male, 2 = female) and school track (1 = low, 2 = high) are dichotomized variables. All other variables are rated on a 4-point Likert scale, ranging from 1 to 4. Higher scores indicate more of that quality. The coefficients are standardized regression coefficients obtained in Mplus.
Supporting our first expectation, being active in community service during the last 12 months positively predicted the intercepts and slopes of both mediators. As compared to adolescents who were not involved in service, those who were reported higher levels of agency (β = .34**) and ideology experiences at T1 (β = .23**) as well as stronger changes in both variables between the measurement occasions (agency experiences: β = .30**; ideology experiences: β = .10**).
Our second expectation stated that being active in community service is indirectly linked to prosocial behaviors through agency and ideology experiences. The way of longitudinal modeling that we applied allows for three possible indirect ways: 1) through linking the intercepts of the mediators and prosocial behaviors, 2) through linking the intercept of the mediators with changes in prosocial behavior, 3) through linking the changes in the mediators and the change in prosocial behaviors.
First, predicting the intercept of the adolescents’ prosocial behaviors, the effects of both mediators’ intercepts were significant, supporting our hypotheses (agency experiences: β = .27**; ideology experiences: β = .17**). The more agency and ideology experiences the adolescents made the more prosocial behaviors were reported. Inspecting the indirect effects of doing service on the intercept of prosocial behaviors indicated that the intercepts of agency and ideology experiences significantly mediated the service effects, indirect effects: through agency experiences: β = .09; CI = (.076; .108), through ideology experiences: β = .04, CI = (.028; .049). Thus, adolescents who were involved in service during the last 12 months made more agency and ideology experiences than adolescents not active in service, which, in turn, was linked to higher levels of prosocial behaviors.
Second, both intercepts of the mediators significantly predicted the changes in prosocial behaviors, across measurement occasions (agency experiences: β = .13**; ideology experiences: β = −.12**). The more agency the adolescents experienced, the stronger was the increase in prosocial behaviors over time. At the same time, a high level of ideology experiences was linked to a decrease in prosocial behaviors. The indirect effects of doing service on the changes in prosocial behaviors indicate that agency and ideology experiences significantly mediated the service effects, indirect effects: through agency experiences: β = .04; CI = (.019; .067), through ideology experiences: β = −.03, CI = (−.040; −.013). Adolescents who were involved in community service reported higher levels of agency and ideology experiences. In turn, those higher levels of agency experiences went along with an increase in prosocial behaviors, while higher levels in ideology experiences were linked to a decrease in prosocial behaviors.
Third, the changes in agency experiences positively predicted the change in prosocial behaviors (β = .27**). These parallel changes over time mediated the effect of being involved in service, indirect effects: agency experiences: β = .08; CI = (.063; .102). Adolescents who were actively involved in community service showed an increase in their agency experiences, which, in turn, was associated with an increase in the prosocial behaviors. There was no significant effect of the changes in the ideology experiences on the changes in prosocial behaviors.
In order to estimate the indirect effects, the residual direct effect of community service on prosocial behaviors has to be modeled. Predicting prosocial behaviors, there was no significant direct effect of doing service on the intercept (β = .02) and a small negative direct effect of doing service on the change (β = −.10*). Controlled for the levels and changes in the mediators, adolescents who were active in service showed a small decrease in prosocial behaviors. The total effect of service on the intercept of prosocial behaviors was positive (β = .15, s.e. = .03, p < .001), while the total effect of service on the changes in prosocial behaviors did not reach significance (β = .01, s.e. = .03, p = .85). The non-significant total effect of community service on changes in prosocial behavior might point to an inconsistent mediation (MacKinnon, Fairchild & Fritz, 2007). 2 The size or statistical significance of the total effects is not a necessary condition for a significant mediation (MacKinnon et al., 2000; Shrout & Bolger, 2002). In this regard, the effects of the mediators and the indirect effects of the independent on the dependent variable are crucial. Taken together, the results support the expectations, that community service involvement is indirectly associated with the development of adolescent’ prosocial behaviors as mediated through agency and ideology experiences made during the service activities.
Discussion
This study focuses on processes explaining community service effects on adolescents’ prosocial behaviors. We argue that service may be a resource for adolescents’ prosocial development. It provides the adolescents with opportunities to become engaged in the community as active agents for a good cause. Our results suggest that agency experiences play a substantial role as mediator of service effects on adolescents’ prosocial behaviors. Adolescents doing service reported higher rates as well as an increase of feeling efficacious in helping others during the last 12 months, for instance by successfully supporting elderly people in their daily routines. Consequently, these agency experiences affected their prosocial development over time. The intercepts of agency experiences and prosocial behaviors were positively associated as well. These results support the expectations derived from Youniss’ and Yates’ (1997) model. Our interpretation is that adolescents start to perceive themselves as active agents and as being able to help others or serving a greater good during service activities. Consequently, these feelings affect the adolescents’ prosocial behaviors outside their service. In the light of the social-cognitive theory (Bandura, 2001), one could speak of adolescents making mastery experiences while helping in the service context, which seems to generalize into everyday-life prosocial behaviors.
Based on Youniss’ and Yates’ (1997) model of community service, we expected a similar pattern of results for ideology experiences. The first step of the expected mediation was found. Adolescents who were engaged in service reported higher rates and increases of ideology experiences. For example, working in a service setting provided by a church or environmental organization, or interacting with adults who are also involved in service, could make adolescents think about their own value system. Thus, service provided a setting of experiences affecting adolescents’ ideologies (Youniss & Reinders, 2010; Youniss & Yates, 1997).
However, the transformation of these ideology experiences into increasing prosocial behaviors was not supported by our data. The intercepts of prosocial behaviors and ideology experiences were cross-sectionally associated. But this cannot be interpreted as directional link. In contrast, across time we found a negative effect of ideology experiences on the changes in prosocial behaviors. This surprising result is worth being investigated more closely, because not only the theoretical assumptions of Youniss and Yates (1997) but also some empirical findings suggest otherwise. So far, two explanations might help to focus future research directions. First, the finding of a negative indirect effect from community service to prosocial behavior through ideology experiences could indicate a methodological artifact. In case of small correlations, this kind of change modeling may lead to spurious negative associations (Steyer et al., 2000). Because the cross-time link is in fact very weak, one could follow the more cautious interpretation that service does not affect adolescents’ prosocial behaviors through the ideology experiences. Second, if this contradictive effect is not methodological, it might depict a kind of reality check for adolescents who find themselves in service activities that are totally different from what they ever experienced or expected to get involved in. Following Kahne and Westheimer (2006), there might be a subgroup of adolescents who just recently started their service activities might in fact make ideology experiences, as indicated by the positive effect of service on ideology experiences. This means that their view of the world and themselves changed. Since the nature of the change is not tapped in the scales, this change can mean an initial deterioration of overly optimistic views when being confronted with the reality constraints of service. This initial drop in confidence and optimism after starting service can lead to disappointment during the first weeks or months of doing service and in turn to a decrease in prosocial behaviors. However, in our study we still found a positive correlation between the change in ideology experiences and the change in prosocial behaviors. This pattern could be indicative of a consolidation or an adaptation of the adolescents’ expectations after doing service for some time. After a while, the more positive ideology experiences might foster prosocial behaviors, which would be reflected in a positive association in the changes in ideology experiences and prosocial behaviors over time. But clearly, more than two measurement occasions are necessary to test this interpretation.
An explanation for the different effect patterns in regard to the types of experiences can be that agency and ideology experiences, although related, differ in their nature (less than 50% shared variance). This study provided evidence for a behavioral pathway of service effects. Service affected prosocial behaviors through agency experiences. Both concepts are linked to behaviors. In our study, we found no clear pattern (across time, as well as between the change variables) suggesting effects of ideology experiences on prosocial behaviors. Ideology experiences are cognitive experiences and therefore might be rather linked to changes in cognitive outcomes. That could be regarded as a cognitive pathway. For example, several authors showed, that adolescents’ beliefs, stereotypes, and their way of thinking changed during service (e.g. Watkins, Larson, & Sullivan, 2007; Yates & Youniss, 1998), which suggests cognitive changes. Thus, service effects might to operate through different pathways. This interpretation has to be tested in future research, linking agency and ideology experiences to behavioral and cognitive outcomes.
The present study links research on community service and positive development. Youniss’ and Yates’ (1997) model of community service emphasized the importance of the interconnection between positive development and the experiences during service. Service connects young people with the community and adults beyond family and school offering opportunities for joining ongoing community life (Kirshner, 2009). Speaking in a more general sense, it describes the relations between the individual (e.g. the volunteer) and a specific developmental context (community service) interacting in youth development. In positive youth development terminology (Lerner, Almerigi, Theokas, & Lerner, 2005), being engaged in community service can be regarded as an external developmental asset that provides the individual with peer and adult support as well as developmental opportunities. Service seems to be an important framework to foster the indicators of positive youth development, known as the five Cs.
Some limitations have to be kept in mind when interpreting the results. First, the study is limited to the age group of 14/15 to 15/16 year old adolescents. Thus, the results do not account for younger or older adolescents facing other developmental tasks. Second, all our variables were self-reports. Thus, it will be important to validate the result with, for instance, external ratings by coaches or parents on the experiences and prosocial behaviors. Third, our study focused on a specific part of the theoretical model on community service by Youniss and Yates (1997). Future research should be conducted to clarify the associations between participating in community service and the other dimensions of transcendence proposed by the model of community service. Fourth, factors that may mediate or moderate the effects were not tested in this study; for example, the duration of being involved in any service, if there were instructed reflection sessions, or the adolescents’ commitment. Another moderator that would be fruitful to investigate is the type of service. If service activities include, for instance, direct contact with people in need in contrast to a more technical or environmental service might trigger a potential cognitive path to a greater extent than serve with no direct contact. Fifth, there might be third variables contributing to the link between community service and prosocial behaviors, e.g. prosocial personality (Penner & Finkelstein, 1998), effects of family or peer contexts (e.g. Gaiser & Rijke, 2006; Marzana, Marta, & Pozzi, 2012), or other learning experiences across various social situations (e.g. Graziano, Habashi, Sheese, & Tobin, 2007). It will be important to disentangle these multi-contextual contributions. A final limitation can be seen in the national focus on Germany. Although testing the validity of the theoretical model in another cultural context is important, the cultural invariance of processes can only be tested in multi-sample studies.
Nevertheless, we conclude from that study that community service can positively affect adolescent prosocial development. This effects might operate through parallel pathways. In this study, we provided evidence for a behavioral pathway through agency experiences. Thus, in order to foster prosocial behaviors through community service, adolescents should be provided with the opportunity for such types of experience. When adolescents can learn that they actually make a difference during service, prosocial behaviors outside the service context can be enhanced.
Footnotes
*This article accepted during Marcel van Aken’s term as Editor-in-Chief.
Funding
This research was made possible by a grant to Heinz Reinders and Burkhard Gniewosz from the German Research Foundation: Re1569/6-1 (Reinders) and Re1569/6-2 (Reinders/Gniewosz).
Notes
Appendix
Examples of community service activities: Humanitarian or environmental organizations, e.g. Greenpeace, work in a local animal shelter Clubs, e.g. trainer in a sports club (football, equitation, dancing) Church or religious institute, e.g. altar bay/girl, Church-run charity organization (Caritas, Malteser) Political party or trade union, e.g. youth organizations of German political parties (Junge Union, Grüne Jugend, Junge Sozialisten) Projects or initiatives, e.g. organizing local charity events (collecting money, cloths, toys, books during a charity event to support a local establishment; helping to repair a playground) Technical organization e.g. voluntary fire service, technical public aid (THW) Clinical or caring, e.g. visiting old or ill persons (regularly), Red Cross, helping disabled persons School, e.g. helping with IT support or in library, preparing school events,
