Psychology 2012. Vol.3, No.8, 569-577 Published Online August 2012 in SciRes (http://www.SciRP.org/journal/psych) http://dx.doi.org/10.4236/psych.2012.38085 Copyright © 2012 SciRes. 569 The Role of Affects in Culture-Based Interventions: Implications for Practice Terri Mannarini*, Enrico Ciavolino, Mariangela Nitti, Sergio Salvatore Department of History, Society and Human Studies, University of Salento, Lecce, Italy Email: *terri.mannarini@unisalento.it Received May 5th, 2012; revised June 7th, 2012; accepted July 10th, 2012 The study aimed to show the relevance of two types of sense-making processes (i.e. cognitive and affec- tive) in culture-based interventions. A hierarchical model based on a psychodynamic theoretical frame- work was tested. According to this model, a generalized affective meaning connoting the whole field of participants’ experience would have a regulative, downward, and causal influence on the specific mean- ings related to the issues addressed by the intervention. Secondary analyses—namely PLS Path Modeling with higher order constructs—were performed on a dataset resulting from a survey involving three hun- dred and ninety freshmen enrolled in a psychology course at the University of Salento, Italy. These analyses were aimed at detecting the anticipatory images of the University. Our findings provide evidence supporting the theoretical model proposed. Implications for culture-based interventions are discussed. Keywords: Cultural-Based Intervention; Affective Semiosis; PLS Path Modeling Introduction In the development of a theoretical framework for psychoso- cial interventions, and the implementation of such interventions, many psychologists have mainly based their proposals on the ecological perspective, which was developed in previous dec- ades by scholars such as Kelly (1966, 1987, 2006). This eco- logical approach has enabled psychologists to address major concerns of the field, such as detecting how social systems influence the life of individuals and communities, and how to change these systems so as to increase people’s well-being (Hirsch, Levine, & Miller, 2007). In striving to overcome the limitations of individual-level theorizing, the ecological model adopts a systemic view, emphasizing the relevance of linkages and interactions among the parts of the system, as well as its dynamic and constantly changing nature. In addressing the individual-environment relationship, a basic tenet of the eco- logical perspective is that “the theory driving the intervention is about the dynamics of the context or system, not the psyche or attributes of the individuals within it” (Hawe, Shiell, & Riley, 2009: p. 269). Within the ecological paradigm, multilevel interventions have recently gained momentum, as illustrated by the 2009 special issue of the American Journal of Community Psychol- ogy, edited by Jean J. Schensul and Edison Trickett. This mul- tilevel concept can be traced back to Bronfenbrenner (1979), who identified four interconnected systems that frame all hu- man transactions and influence human behavior: the microsys- tem, mesosystem, exosystem, and the macrosystem, which together make up the ecosystem. Each of these systems affects a variety of aspects of individual and community life, thereby contributing to the well-being and disease of individuals and groups. From this perspective, the rationale behind multilevel interventions is that changes need to be made both at the level of individuals, and of the social context in which they reside. Nevertheless, among interventions couched in the ecological perspective, there is still considerable variation in empirical results achieved. This variation can be parsed by identifying two broad theoretical categories of interventions: those empha- sizing the impact of changes in the context surrounding the individual (environment-based), and those emphasizing the relevance of sociocultural processes in changing systems (cul- ture-based). An example of environment-based interventions is STEP (the School Transitional Environment Project) (Felner & Adam, 1988; Felner, Favazza, Shim, Brand, Gu, & Noonan, 2001). STEP seeks to facilitate the transition from elementary to junior high school by modifying specific elements of the school context. More specifically, STEP seeks to accomplish the following goals: 1) create smaller learning environments and provide a stable set of peers to increase the student’s sense of connected- ness, thereby reducing the degree of complexity that the student entering junior high confronts; and 2) restructure the roles of homeroom teachers so that they provide greater support for entering students. Findings from STEP showed that modifica- tions in the school context helped students to cope with transi- tional requirements. Nevertheless, it was acknowledged that such changes were “necessary, but certainly not sufficient, ele- ments to obtain the gains in achievement and performance that were above those levels at which the student entered” (Felner et al., 2001: p. 189). Interventions in the culture-based category are sensitive to the cultural nature of context and emphasize the need for ob- taining local knowledge and community involvement in the whole process of the intervention (i.e., development, imple- mentation, and analysis) (Schensul, 2005), according to a col- laborative and participatory pattern. Interventions of this cate- gory aim to change the system under scrutiny by mobilizing internal resources. Local knowledge, which can be defined as the local culture of individuals and groups, plays a central role *Corresponding author.
T. MANNARINI ET AL. among these internal resources. Following Trickett (2009), the concept of (local) culture can be defined as “the broad cultural history of community groups as reflected in local contexts that specify how that history is expressed in local settings, relation- ships with cultural outsiders, and the definition of community issues to be solved” (p. 259). Hence, local culture can be re- garded as the outcome and the process of sense-making by which people come to be able to think or communicate about their experience and assign it meaning, value, and relationships to other events. Culture-based interventions compensate for the lack of emphasis put on the role of extra-subjective factors by increasing interventionists’ awareness of the sense-making processes that mediate the relationship between the individuals and the context (either physical, social, and symbolic) they are embedded in, or, alternately phrased, the local dynamics of meaning construction. In the current paper, the authors argue that culture-based in- terventions have paid much more attention to the cognitive, rather than the affective, processes of sense-making. This is true even within the socio-cultural as well as within the dia- logical vision of sense-making (Salgado & Clegg, 2011; Valsi- ner & Rosa, 2007). Further, the authors argue that the lack of recognition of the role of affects in sense-making has led re- searchers and practitioners to focus exclusively on the mean- ings related to the specific objects1 addressed from time to time by single interventions, and this has shaped the resulting inter- ventions accordingly. However, from a psychodynamic per- spective, there is evidence that sense-making also entails the construction of generalized meanings that, though distinct from the specific objects about which individuals are stimulated to verbalize, drive and rule the way the same individuals perceive and represent such objects (Salvatore & Freda, 2011; Cabell & Valsiner, in press). The aim of the current paper is to test a model based on a psychodynamic theoretical framework that shows the relevance of such generalized meanings and their relationship to object-specific meanings. Firstly, readers are provided with an overview of the theoretical framework under- lying the model and then with the discussion of relevant pieces of evidence. Next, a statistical formalization of the model is illustrated. Finally, implications for culture-based interventions are highlighted. The Theoretical Framework: Affect and Sense-Making As stated above, the concept of local culture was defined as the process and the outcome of sense-making. Signs are mobi- lized by people as they engage in activities that require inter- subjective engagement. Hence, sense-making is intrinsically dialogical. It is argued that a core component of sense-making is the affective nature of our experience. Authors have exten- sively elaborated on this dynamic—referred to as affective semiosis—elsewhere (Salvatore & Freda, 2011; Salvatore & Zittoun, 2010), so only the basic tenets will be recapitulated here. In this paper, the notion of affect is defined in psycho- dynamic and semiotic terms (Salvatore & Zittoun, 2011)—that is, as a process of connotation of the object that motivates a specific disposition to act. According to psychoanalytic theory (Freud, 1933[1932], 1964; see also Bucci, 1997; Matte Blanco, 1975), the affective connotation is the product of a kind of thinking characterized by the predominance of the primary process. The primary process is the way the mind’s functioning orients toward homogenizing and generalizing the objects of experience. Insofar as the primary process is predominant in a person’s way of thinking, that person does not experience the discrete objects in their singularity and semantic specificity; rather, the objects are interpreted as the generalized class they belong to, as merged with the whole they are part of. Psychoanalytic theory does not consider the primary process as being opposed to the secondary process (the secondary process is logical, rational thinking, which is centered on the identification of the differences among the elements and con- strained by their semantic specificity). Rather, primary and secondary processes are seen as complementary. The secondary process works in terms of setting categorical distinctions— relationships within the homogenizing way of functioning of the primary process. Thus, the primary and the secondary proc- esses are two coextensive mental functions: every psychologi- cal process is the output emerging from their interaction, and therefore, thinking is always a mixture of both. The psychodynamic idea that basic meanings emerge from the encounter between conscious and unconscious dynamics provides a meaningful way of modeling affects. On this basis, it was proposed to define affects as hypergeneralized and ho- mogenized meanings. Generalization is the process through which individuals and groups recognize an object, not for its distinctiveness and uniqueness, but as correspondent to the whole class of objects that are associable with it—i.e. the motherness rather than the mother. Examples of generalization are numerous: consider the awe one can feel in front of a supe- rior or another figure with some authority (a teacher, a police- men, an elderly relative etc.). Such a feeling cannot be related to the actual attitude and power of the figure; rather, these emo- tions reflect a meaning that individuals attribute to the general- ized class of the authoritative and powerful figures they identify their interlocutor with, rather than to the specific person. Inter- woven with generalization is homogenization; if every object of the class is the class itself, all the qualities and characteristics of the class are attributed to the single object. As a consequence, every object is made identical—homogenized—to every other object that belongs to the same class. Stereotypic thought evi- dently shows hints of the affective mechanism discussed. All the objects that are projected in the stereotypical class are con- fused with each other, regardless of their individual specificity, and treated according to all the properties associated with the class. As a consequence of (hyper)generalization and homogeniza- tion, the reference of the affective semiosis is never a discrete object1 (i.e. a person, an event, a thing), but the relationship between the subject and the object. More precisely, the content is not even the relationship as a discrete “thing”; rather, it is the whole subjective field of experience associated with the prac- tice of the situated encounter with the world. One can pick up a hint of this level of experience when a new situation is encoun- tered. In those circumstances, sometimes one can experience the situation as something endowed of global value (as threat- ening, warm, distancing…), before differentiating the experi- ence through a specific attentive focus. Such an affective ex- 1Here and henceforth the term “object” is used in broad sense, fo denoting any kind of discrete pattern of experience—e.g. a person, a things, an event, as well as an institution, an element of the social o hysical environment, and so forth. Copyright © 2012 SciRes. 570
T. MANNARINI ET AL. perience is the subjective (or rather intersubjective) construc- tion of the environment. Hence, a specifically psychological connotation to the notion of context is assumed—as the affec- tive hypergeneralized meaning in terms of which people con- note the field of experience. Evidence of the Salience of Affective Semiosis Both inside and outside the psychodynamic field, there is empirical evidence supporting the idea of the salience of a di- mension of generalized meaning. From a social psychology perspective, studies on the semantic differential (Osgood, Suci, & Tannenbaum, 1957) have highlighted that when subjects are asked to evaluate different objects they systematically connote such objects in a latently similar way, regardless of the seman- tic difference among them. In short, different objects elicit a similar generalized meaning. Moreover, in spite of the fact that this literature has developed essentially outside the psycho- dynamic field, the authors have recognized the affective nature of this process of meaning construction, due to its generalized, basic, elementary as well as conative nature. These findings offer evidence that the mind carries out sense-making that is the expression of affective generalized classes of meanings in op- positional relationships (good versus bad; full-of-power vs empty-of-power; active vs passive) and is referred to the global field of the experience as a whole. At this level of semiosis, objects are interpreted as part of such an affective field (for instance, as merged with the context as good and powerful), regardless of their semantic specificity. Further evidence that affective semiosis works independently of the cognitive com- putation focused on the semantic content is provided by the classical studies of Turvey, Fertig and Kravetz (1969), which showed that the priming effect works also when the prime and the target stimuli have no semantic relationship but share the same affective meaning—as it is identified by their similar position on the latent dimensions depicted by the semantic dif- ferential (e.g. two objects both connoted as fine and powerful). Similarly, based on a priming procedure, Murphy and Zajonc (1993) showed that preferences do not require semantic elabo- ration of the stimulus; this leads to the conclusion that the af- fective elaboration of the experience comes before and guides the semantic-cognitive computation. A different stream of studies provides convergent evidence. Several surveys aimed at mapping the people’s way of connot- ing specific social objects (e.g. Carli & Salvatore, 2001; Guidi & Salvatore, in press; Salvatore, Mannarini, & Rubino, 2004), have systematically found the same pattern of representation, whatever the object under scrutiny (i.e. the psychologist, the school attended, the University, the community health services) and whatever the socio-cultural context of the study (e.g. urban vs rural areas). In all these studies, the representation of the target object results from the respondents’ global image of the context. For instance, if one has a negative vision of the context, she connotes the psychologist as a cheat, assimilating him with a self-styled magician, or represents the teacher of her own school as incompetent and untrustworthy; on the contrary, if one has a positive image of the context, then this connotation reverberates on the psychologist, the teacher, the community health system and any other discrete object that is part of the field so connoted, which thus is represented as trustable, skillful, efficient and the like. In a recent study aimed at surveying the customer satisfac- tion of a national sample of parents in the Italian school system (Salvatore, Mossi, & Cazzetta, 2007), two findings were re- ported that are worth mentioning here: First, the rate of overall satisfaction was uncorrelated with the analytic judgments con- cerning the specific issues involved in the school service. This finding was seen as an indication that the overall satisfaction with the service was the result of a synthetic global evaluation of the experience of relating with the school, instead of a re- flection of a functional examination of the elements and aspects (content, process, performance modality, etc.) underlying the service. Second, the analytic judgments turn out to be strongly associated with the corresponding level of relevance these same issues have to the school service. This was taken as an indica- tion that the attribution of relevance did not depend on a func- tional (hence, semantic-based) analysis of the value of the issue, but rather on the respondent’s liking for the issue; the more they liked it (the more they were satisfied with it), the more they felt it to be important. Translating these findings into the terms of our discussion, they highlight the fact that in an evaluative task—at least when there is a high degree of in- volvement of the subjective sphere (that is, as a level of satis- faction)—people tend to make generalized, affective categori- zations without the constraint of being anchored to the func- tional analysis of the semantic content. In sum, the findings mentioned above show the salience of a level of affective sense-making: 1) Working in a generalized and homogenizing way, not con- strained by the semantic differentiation of the objects; 2) Referring to the whole field of experience rather than to discrete objects, the latter being connoted by reason of their embeddedness in the field (i.e., an object is good or bad be- cause it is part of a field connoted as good or bad); 3) Playing a super-ordered, regulative role in the semantic elaboration of discrete elements of the field of experience (i.e., the affective connotation of the field of experience feeds the way of thinking about the specific objects, and therefore the commitment and attitude toward them). A Model of Affective Sense-Making As seen above, a plurality of sources of evidence (along with many clinical observations) highlights the presence of affective sense-making, as well as its effect on how people think and act. Yet, this literature has not yet provided an analytic model of the relationship between the affective sense-making of the field of experience (henceforth: affective meaning) and the cognitive processes of semantic elaboration of the discrete objects of the field (henceforth: semantic meaning). This absence constrains the chances of empirical validation of the theory, therefore reducing the possibility of its development and integration with other theories of sense-making and social action. Above all, it prevents the possibility of developing strategies and method- ologies of psychosocial intervention that take into account the interlacement between affective and semantic meaning. The current study takes step toward addressing this issue. A formal quantitative model of the relation between the affective and semantic meaning was proposed, and this model was given its first empirical test. The model is hierarchical: it encom- passes first order factors (i.e. semantic meanings concerning discrete objects) and second order factors (i.e. affective mean- ing concerning the whole field of experience). SM = f (Afe, Sdo) Copyright © 2012 SciRes. 571
T. MANNARINI ET AL. Sdo = h(Afe) where: SM = Sense-making; Afe = Affective meaning of the field of experience; Sdo = Semantic meaning of discrete objects. In brief, the formula represents in a formalized language the idea that the sense-making process depends on the relationship between affective categorization and cognitive computation, where affective categorization comes first. Aim and Hypothesis of the Study The study aimed to test the hierarchical structure of the model, highlighting the super-ordinate role played by the affec- tive meaning. According to the model of sense-making pro- posed above, it was hypothesized that: a) Sense-making has two dimensions of functioning: seman- tic and affective meaning; a1) Semantic meaning concerns the representation of discrete objects; a2) Affective meaning concerns the totality of the field of the experience; b) Affective meaning connotes the field of experience in terms of generalized and homogenized classes of meanings; c) Affective meaning is super-ordinate to semantic mean- ing—namely, it has a regulative, downward, causal influence on semantic meaning. Method To test the model, a secondary analysis on a dataset resulting from a survey involving freshmen in the undergraduate psy- chology program at the University of Salento, Lecce, Italy (Venuleo, Mossi, & Salvatore, submitted) was performed. The survey was aimed at detecting anticipatory images of the uni- versity expressed by freshmen at the moment of their first con- tact with the new educational context. Two specific hypotheses about such anticipatory images were assumed: 1) they would impact the middle and long-term academic performance of students; 2) they would constitute a valuable knowledge base for the elaboration of effective educational policies. Sample A non-representative sample of the student population made up of three hundred and ninety freshmen intending to join the undergraduate psychology program at University of Salento were involved in the survey. All cases with missing values were excluded from the analysis. The resulting reduced sample was composed of N = 366 cases, of which 312 were female (85.25%). The students’ age ranged from 18 to 50; most of them (84.43%) were 18 to 25, 7.65% from 26 to 35, and about 6% were older than 36. More than half the sample (59.56%) was unemployed, 12.3% had a full-time jobs, and 23.77% had an odd or part-time jobs (4.4% did not provide this information). Procedures Freshmen were administered a paper-and-pencil question- naire in September 2009, as freshmen were summoned to take the admission test for the undergraduate psychology program. Before completing the test, students were given 90 minutes to fill in the questionnaire about anticipatory images of the uni- versity. Data entry was carried out with the support of an optic reader. Data analyses were performed using MATLAB soft- ware, Version R2009b. Instruments The original questionnaire, composed of 135 items, was de- signed to map the students’ semantic meaning (opinions, judg- ments, evaluations) of four objects: 1) ξ1, Commitment to the university (motivations, expectations); 2) ξ2, Trustworthiness of the social system (reliability of social structures, e.g., local administration and services); 3) ξ3, Psychology as a profession (functions of psychologists and psychological knowledge); and 4) ξ4, General values (morality, respect of rules, etc.). All vari- ables were measured with a 4-point Likert-like scale, either in the format of agreement (from “fully disagree” to “fully agree”) or intensity (from “not at all” to “very much”). For the current study, a subset of 19 items was selected, also called manifest variables (see Table 1), based upon the results of an item analysis performed on the whole dataset. Items were selected according to the strength of the contribution they provided to the measurement of the semantic meaning attributed to the four objects upon which the questionnaire was focused. Data Analysis. PLS Path Modeling for Higher-Order Constructs To test the hypothesized model, a procedure of analysis based on PLS Path Modeling with high order constructs was implemented. Due to its ability to estimate complex models, PLS Path Modeling can be used to investigate models at a high level of abstraction. The basic PLS design was first performed in 1966 by Herman Wold for multivariate analysis, and its ap- plication was subsequently extended to Structural Equation Modeling (SEM) in 1975 by Wold himself (for an extensive review on PLS approach, see Esposito Vinzi, Chin, Henseler, & Wang, 2010). The procedure can be thought of as the analysis of two con- ceptually different models: 1) A structural (or inner) model that specifies the causal relationships among Latent Variables (LVs), as posited by a given theory; 2) A measurement (or outer) model that specifies the relationship of the Manifest Variables (MV) with their (hypothesized) underlying LVs—in our case, the latent constructs are the semantic (I order) and affective (II order) meanings. The two models’ equations are as follows: ,1,,1 ,1 B mmmmm ,1,,1 ,1 x pm mp where the subscripts m and p are the number of latent and manifest variables in the model, respectively, while ξ represents the LV’s vector and x the vector of MVs. Path coefficients linking the LVs are indicated by the matrix B, while factor loadings linking MVs to LVs are represented by the matrix Λ. Finally, the τ and δ vectors indicate error terms of the structural and measurement model, respectively. The estimation algo- rithm is explained in the Appendix. Wold’s original PLS path modeling design does not consider higher-order LVs; each construct has to be related to a set of observed variables in order to be estimated. To address this, Lohmöller (1989) proposed a procedure for the case of hierarchical Copyright © 2012 SciRes. 572
T. MANNARINI ET AL. Copyright © 2012 SciRes. 573 Table 1. Latent Variables and selected Manifest Variables. Latent Variables (LVs) and corresponding object Manifest Variables (MVs) x1 Teachers love their subjects x2 Degree of development of Italian university system x3 Degree of development of University of Salento ξ1 UNIVERSITY (Commitment on university) x4 Usefulness of university studies for a job placement x5 Trust in Local Government x6 Trust in Health System x7 Trust in Police x8 Trust in Public Administration ξ2 SOCIETY (Trustworthiness of social structures) x9 Degree of development of Italy x10 To see a psychologist is necessary x11 To see a psychologist is useful x12 To see a psychologist is interesting ξ3 PSYCHO (Psychology as profession) x13 To see a psychologist is risky x14 Relying on people is difficult x15 People can only rely on themselves x16 The importance of understanding the world x17 The importance of being unscrupulous x18 The importance of obeying the rules ξ4 VALUES (General values) x19 The importance of commanding respect constructs, the so-called Hierarchical Component Model or Repeated Indicators Approach, which is the most popular approach when estimating higher-order constructs through PLS (another procedure used is the Two-Step Approach; see Agarwal & Karahanna, 2000; Diamantopoulos & Winklhofer, 2001; Rein- artz, Krafft, & Hoyer, 2004). The procedure is very simple: The manifest indicators are used a second time to directly measure the higher-order construct; a second-order factor is directly measured by observed variables for all first-order factors. While this approach repeats the number of MVs used, the model can be estimated using the standard PLS algorithm (Re- inartz et al., 2004). The repeated indicator approach is illus- trated in Figure 1. The Theoretical Model According to the theoretical model, the LVs ξ1, (UNIVER- SITY2) ξ2, (SOCIETY) ξ3, (PSYCHO) ξ4, (VALUES) were considered as independent first order constructs. This assump- tion of independence was made because these constructs con- cern separate objects (i.e. Commitment on university, Trust- worthiness of the social system, Psychology as profession, General values) that lack semantic linkage between them. Consequently, in the first-order model, no causative relation ships among the constructs were assumed, which limited the analysis to a descriptive calculation of the correlation (Pear- son’s coefficient) among them. The second-order construct (ξ5) introduced, named IMAGE, is a dimension underlying the first order LVs, and is linked (in a “reflective” way, see appendix) with all of them. In the sec- ond-order model, LVs at the first level hold the same absence of relationships supposed in the first-order model. Figure 2 reports the path diagram of the theoretical model, showing just the causative relationships from the second order and the first 2 nd Order LV 1 nd Order LV 1 nd Order LV X 1 X 2 X 1 X 2 X 3 X 4 X 3 X 4 Figure 1. PLS model building: Repeated indicators. 2In the whole text caps were adopted for indicating latent constructs and italics for the corresponding objects. 3It is worth to remind that PLS path modeling lacks a well identified global optimization criterion, and then no global fitting function to assess the goodness of the model exists. The GoF index, introduced by Tenenhaus, Amato & Esposito Vinzi (2004), represents an operational solution to this problem, being based on local measures (communality index and R-square, which are quality measures referred to each single LV) rather than on a global criterion of fitness. Figure 2. Second-order model path diagram.
T. MANNARINI ET AL. order constructs, and hides the link with the manifest variables. Composite reliability (Chin, 1998) was used to assess the in- ternal consistency of each block of MVs (it should be > .70). Regarding the inner model, the coefficient of determination (R-square) of each dependent LV gives the local fit of the model. Goodness of Fit (GoF) was instead taken as a goodness of fit index of the overall model3. Furthermore, for assessing the significance of path coefficients, t-values have been com- puted by bootstrapping (200 samples; t-values > 1.96 signifi- cant at the .01 level). Results First-order model. Table 2 shows the coefficients of correla- tion among the four first order constructs. As one can see, 3 out of 6 correlations are statistically significant: SOCIETY-UNIVER- SITY (r = .48), VALUES-PSYCHO (r = .14) and SOCIETY- VALUES (r = –.12). Second-order model. Table 3 shows the model’s quality measures. Two first order constructs (UNIVERSITY and SO- CIETY) are higher than the .70 threshold; the other two (VALUES and PSYCHO) are borderline. The second order construct reaches a level (.44) far from the standard unidimen- sionality. SOCIETY and UNIVERSITY show the highest level of local fitness (respectively, .75 and .58). Figure 3 reports the estimated values, with the respective significance, of the path coefficients (linking second to first-order LVs). All four path Table 2. Correlation among first-order LVs. University Society Psycho Values University 1 - - - Society .48* 1 - - Psycho .02 –.04 1 - Values –.08 –.12* .14* 1 Table 3. Reliability measures and Goodness of Fit. Composite Reliability R Square GoF University .726 .575 .37 Society .780 .752 Values .668 .198 Psycho .620 .138 Image .442 - Figure 3. Estimated path coefficients and t-statistics. coefficients are statistically significant; three of them—IMAGE SOCIETY (.87, t = 20.74) and IMAGE UNIVERSITY (.76, t = 15.65) and IMAGE VALUES (.45, t = 7.21) are highly significant. Discussion The empirical test has provided evidence that supports the theoretical model proposed. Regarding the theoretical model and its empirical test, three main points are worth highlighting. First, the inner model, assuming causative unidirectional link- age from the second order factor to the first order factors, showed all defined linkages as being statistically significant. Moreover, these causative linkages had good indexes of fit; and the same was true for the model as a whole (GoF = .37, cfr. Table 3). Second, to interpret the second order construct, one has to consider that the outer model addressed the full set of items measured as part of it. This means that the second factor was defined as a construct pertaining to the meaning of the experience (as all items measured this kind of content), yet was independent from its specific semantic content (as it is the set of items taken as a whole that measured the construct, regard- less of the fact that items pertained to different semantic do- mains/objects—i.e., Commitment to the university, Trustwor- thiness of the social systems, Psychology as profession, Gen- eral values). In accord with our hypothesis, this way of meas- uring the second order factor legitimized our conceptualization of it as affective meaning—namely, the global connotation of the whole field of experience was not dependent on/constrained by the semantic specificity of the discrete objects in which the field was articulated. Thus, taken together, the inner and outer models provided evidence supporting our hypothesis that affective meaning has a downward, causal, regulative influence on semantic meaning. In other words, the model showed how the representation of discrete objects depends on the affective connotation of the general field of experience. Incidentally, this conclusion allows us to understand the data emerging from our analysis that are otherwise counterintuitive: the associations among first order constructs (SOCIETY-UNIVERSITY, VALUES-PSYCHO, and SOCIETY-VALUES). If one conceives of sense-making in a unidimensional way—namely, only as a matter of semantic- cognitive processes—these associations are hard to understand given that there are no semantic similarities/connections among the involved objects (commitment to the university, trustwor- thiness of the social system, general values, psychology as sci- ence). On the contrary, they can be interpreted as indirectly reflecting the effect of the affective meaning’s regulative func- tion. In other words, what the first order constructs have in common is not their semantic content, but their regulation by the affective super-ordinate meaning. Third, it is worth noting that two out of four first order con- structs (VALUE and PSYCHO) did not reach a fully satisfying level of reliability (cfr. Table 3). Furthermore, the second order construct’s level of reliability was even lower. The borderline level of reliability of VALUE and PSYCHO can be understood if one considers that a second analysis on a dataset produced for other studies was carried out. However, the value of internal consistency of the second order construct would ideally be evaluated taking into account the heterogeneous content of the set of manifest variables used to measure it. Regardless, this study is not concerned with the method of measuring the con- Copyright © 2012 SciRes. 574
T. MANNARINI ET AL. structs, but rather with the linkages among them. According to that focus, the very fact that the measurement of the latent con- structs was not fully efficient made it even more notable that statistically significant causative linkages emerged from the analyses. Fourth, the strength of the causal linkages between second order and first order constructs linking each single object to the generalized super-ordinate meaning varied across the four ob- jects. Two path coefficients (related to UNIVERSITY and SO- CIETY) were high, however, one was quite high (VALUE), while another was closer to the threshold of statistical signifi- cance. This leads us to conclude that each object is only partly affected by affective meaning, thereby preserving specificity and a degree of independence for that object. In sum, our findings showed that sense-making unfolds on two different levels, which encompass both specific meanings related to the issues addressed by the intervention (semantic meanings) and hypergeneralized meanings (i.e. affective mean- ings) concerning the whole experience of the individuals, which play a super-ordinate role on the former. How may these find- ings be used for designing and implementing cultural-based interventions in community settings according to an ecological perspective? Its is argued that our model can serve as a tool for the diagnostic phase of the intervention and has relevant impli- cations for the actions to be planned and undertaken, as well as for general methodology. In the authors’ view, two main im- plications can be highlighted. First, this model leads to a new interpretation of the notion of local knowledge/local culture. If one takes into account the role of affect in shaping the experience that people make of their immediate environment, one also has to consider that when local knowledge (i.e. local culture) is elicited and communities are involved in the whole process of the intervention, there are two “horns” of culture to deal with: one horn is situatedness, the other is globality. Thus, on the one hand, one is inclined to consider the situated experience of individuals and groups and to circumscribe this experience to specific objects—mainly those directly addressed by the intervention. On the other hand, one is inclined to consider a super-ordinate level of experience that concerns the relationship between the individuals and the context at a more general level. These two levels are inter- twined, so that what people perceive, think, and imagine about the specific objects (e.g. university, psychology, etc.) on which the intervention is focused, is not separable from the hypergen- eralized meanings emerging from their unreflective global ex- perience of the immediate environment. An example of what the recognition of the affective meaning could mean at the level of intervention is provided by the ac- tions implemented in the psychology undergraduate course our study addressed. To facilitate the transition of freshmen from high school to university and therefore increase their learning capabilities, an ad hoc setting was created: Freshmen were in- vited to meet each others in groups, for a planned period of time and a number of sessions (15 participants each group, lasting 2 hours, encountering 5 times). Group meetings were planned and directed in accordance with the ecological, cul- tural-oriented, general tenet stating that enabling actors to ana- lyze and make sense of their local system of activity is an effi- cacious lever of empowerment. Accordingly, the groups’ aim was to promote and support the freshmen’s sense-making of their new educational role (e.g., in terms of role demands, “rules of the game”, ends, goals, tools and resources character- izing the educational micro-system). As a consequence of the recognition of the affective dimension of sense-making, these groups were committed to an additional function/aim: enabling the freshmen to recognize the affective meanings crossing their shared culture, thereby regulating and constraining their indi- vidual, as well as intersubjective, ways of understanding and acting within the new educational system. Thus, in the group setting, the elaboration of being-an-undergraduate-student-of- psychology was not limited to the cognitive task addressing the semantic objects sustaining the experience of being a student (e.g., the educational task, the learning standards, the logistic, didactic, and organizational resources and tools, the contents and structure of the programs, the implicit and explicit social norms active in the context, the attitude of the professors, and so forth). Rather, it was expanded to include the affective meanings that—due to their hypergeneralized extension—go far beyond the semantic and functional boundaries of the edu- cational setting, encompassing the infinite (present, past, and future) elements of the freshmen’s life that (directly or indi- rectly) are associated with the experience of being an under- graduate student (e.g., the community of peers, the family, the social environmental, the job market, and the like). In last analysis, so defined, the groups worked in a reflective setting where freshmen could analyze the rooting and the shaping of their new educational experience within/by their individual and societal identity (for details on this model of setting, its way of functioning and impact, see Venuleo & Guidi, 2010; see also Kullasepp, 2010). To say this another way, the recognition of the salience of the affective meaning produced a shift in the psychological intervention on the educational setting; this shift was from the analysis of the identity of role to the analysis of the role of the identity. Second, our model suggests that the actions to be imple- mented vary according to the autonomy of the object—i.e., the degree of independence of the cognitive-semantic representa- tion from the hypergeneralized meaning connoting the global field of experience. The greater the autonomy, the more the action will need to focus on the object (e.g., technical training), leaving aside the general experience of the broader context (e.g., the education system, or the cultural frames). Conversely, the lower the autonomy, the more the action will have to rely upon the experience and the reflexivity of participants (e.g., group- based self-reflexive training). This leads us to argue for the utility of introducing a diagnostic phase aimed at estimating the degree of autonomy of the object(s) in the planning of ecologi- cal culture-based intervention. For instance, take the freshmen of our study and image two scenarios of intervention: Scenario A is the one which was referred to above—namely, the one that aims to elaborate the transition into the new educational setting and the empowerment of the capability of learning. The inter- vention was carried out based on a diagnosis according to which the object addressed (the commitment to the university) showed a fair degree of autonomy, and such a diagnosis sug- gested the activation of a reflective setting. Suppose instead that the diagnosis showed that another ob- ject, for instance English as an instrumental language, was en- dowed with autonomy. In this (virtual) scenario B, the interven- tion has a more specific aim: to favor the use of English as the main language in the educational setting (provided, of course, the setting is not an English speaking country). Consequently, while in Scenario A, the intervention required the activation of a reflective setting, the intervention in Scenario B would re- Copyright © 2012 SciRes. 575
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T. MANNARINI ET AL. Copyright © 2012 SciRes. 577 analysis (pp. 391-420). NewYork: Academic Press. Wold, H. (1975). Path models with latent variables: The NIPALS ap- proach. In H. M. Blalock (Ed.), Quantitative sociology (pp. 307-357). New York: Seminar Press. Appendix for Mode B (formative relationship). The inner weights ej,i, in the centroid scheme, are defined as the sign of the correlation between the connected estimated yj and yi, with i ≠ j. The PLS algorithm. The parameters estimation (Ciavolino & Al-Nasser, 2009) is based on a double approximation of the LVs ξj (with j = 1, ···, m). The external estimation yj, obtained as the product of the block of MVs Xj (considered as the matrix units for variables) and the outer weights w j (which represent the estimation of measurement coefficients, Λ). The internal estimation z j, ob- tained as the product of the external estimation of ξj, yj, and the inner weights ej. The PLS algorithm starts by initializing outer weights to one for the first MV of each LV; then, the parameters estimation is performed, until the convergence, by iteratively computing: 1) External estimation, yXz; jj 2) Internal estimation, , zy; ji i ji e According with the relationship among MVs and LVs hy- pothesized, outer weights are computed as: 3) Outer weights estimation, with Mode A or B. The causal paths among LVs (the coefficients in the B ma- trix) are obtained through Ordinary Least Squares (OLS) method. wX z jj for Mode A (reflective relationship), and: 1 wXXXz jjj j
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