Effects of Training Goals and Goal Orientation Traits on Multidimensional Training Outcomes and Performance Adaptability

This research examined the effects of mastery vs. performance training goals and learning and performance goal orientation traits on multidimensional outcomes of training. Training outcomes included declarative knowledge, knowledge structure coherence, training performance, and self-efficacy. We also examined the unique impact of the training outcomes on performance adaptability by predicting generalization to a more difficult and complex version of the task. The experiment involved 60 trainees learning a complex computer simulation over 2 days. The research model posited independent effects for training goals relative to goal orientation traits and independent contributions of training outcomes to the performance adaptability of trainees. The findings were consistent with the proposed model. In particular, self-efficacy and knowledge structure coherence made unique contributions to the prediction of performance adaptability after controlling for prior training performance and declarative knowledge. Implications and extensions are discussed. Copyright 2001 Academic Press.     

Struggle with ultimate meaning: Nuanced associations with search for meaning,presence of meaning,and mental health

Struggle with ultimate meaning reflects concerns about whether one’s life has a deeper meaning or purpose. We examined whether this construct could be distinguished from presence of meaning in life and search for meaning. In two US samples – a web-based sample (N = 1047) and an undergraduate sample (N = 3978) – confirmatory factor analyses showed that struggle with ultimate meaning loaded on a factor that was distinct from but related to presence (negatively) and search (positively). Moderated regression analyses showed that people with low levels of presence combined with high levels of search for meaning were particularly likely to struggle with ultimate meaning. Additionally, when compared to presence and search, struggle with ultimate meaning related more strongly to depressive symptoms than presence or search. These results suggest that struggle with ultimate meaning represents a distinct component of how people grapple with meaning that has implications for mental health.     

Social identification and normative conflict: When student and educator learning norms collide

The current paper explores perceived norm conflict, social identification, and learning approaches in the applied context of higher education. Research has established the influence of identification with fellow students, and their perceived norms, on student approaches to learning. However, in the current paper, we argue that this model is not entirely ecologically valid and that students are not the only source of normative influence in the study context. In this first step to unpack these complex normative influences, we examine the next most‐proximal source of normative information—the educator. In essence, we explore the ways that the normative communications of a within‐field educator can also influence student learning approaches and the ways these two sets of normative effects may interact. Testing a sample of undergraduate students at Australian universities, we explore how students resolve conflicting intragroup norm sources. Findings suggest that, in line with previous literature, stronger identification with the field of study is associated with deep learning approaches, and this effect is moderated by perceived student norms such that the valence of the study norms can undermine or accentuate this effect. Novel results unpacking the effects of normative conflict suggest that this moderation effect is only present when educator norms are ambiguous and that, in instances of clearly conflicting normative messages, the identification main effect prevails. The implications and applications are discussed.     

Trajectories of Social Withdrawal from Middle Childhood to Early Adolescence

Heterogeneity and individual differences in the developmental course of social withdrawal were examined longitudinally in a community sample (N = 392). General Growth Mixture Modeling (GGMM) was used to identify distinct pathways of social withdrawal, differentiate valid subgroup trajectories, and examine factors that predicted change in trajectories within subgroups. Assessments of individual (social withdrawal), interactive (prosocial behavior), relationship (friendship involvement, stability and quality, best friend’s withdrawal and exclusion/victimization) and group- (exclusion/victimization) level characteristics were used to define growth trajectories from the final year of elementary school, across the transition to middle school, and then to the final year of middle school (fifth-to-eighth grades). Three distinct trajectory classes were identified: low stable, increasing, and decreasing. Peer exclusion, prosocial behavior, and mutual friendship involvement differentiated class membership. Friendlessness, friendship instability, and exclusion were significant predictors of social withdrawal for the increasing class, whereas lower levels of peer exclusion predicted a decrease in social withdrawal for the decreasing class.     

On Using a Cancer Center Cancer Registry to Identify Newly Affected Women Eligible for Hereditary Breast Cancer Syndrome Testing: Practical Considerations

The goals of this research were to describe the process of identifying and recruiting individuals registered with a cancer center's cancer registry who were eligible to participate in cancer genetic research. This study specifically focused on younger women with personal and family cancer histories strongly suggestive of hereditary breast cancer syndromes, as determined by genetic counselor review. Of special interest was to determine the proportion of women from minority backgrounds who were (a) identifiable in this manner and (b) interested in genetic testing for hereditary breast cancer through a family cancer clinical research program. An initial query of the 292 cases of women newly affected with breast cancer and contained within the registry indicated that 124 met demographic eligibility criteria. The personal and family cancer histories of each of these women were then reviewed by a genetic counselor and the remaining, eligible patients (n = 31) were subsequently contacted by mail and telephone: approximately three-fifths (18/31) of these patients were White and two-fifths (13/31) were Black or of another racial background. Of the women who were sent one or more study-related mailings, 10% (3/31) were unreachable by telephone due to incorrect contact information, 32% (10/31) were reachable by telephone but unresponsive to messages left, 26% (8/31) had already participated in the family cancer program (i.e., were positive controls), 6% (2/31) were interested in participating in the program, 23% (7/31) were uninterested in participating in the program, and 3% (1/31) were later determined to be ineligible. Comparing the racial backgrounds of women who were either positive controls or interested in participating (i.e., “tester” category) to women who were either unreachable, nonresponsive, uninterested, or ineligible (i.e., “nontester” category), there was a nonsignificant trend for more non-White women to fall into the nontester than tester category, Fisher's Exact Test = .09. This work underscores practical steps in planning and carrying-out cancer genetic testing research among women newly affected with breast cancer and members of special populations. It also underscores the role that genetic counseling professionals play in this process.     

Community Psychology at the Crossroads: Prospects for Interdisciplinary Research

Effective engagement in interdisciplinary work is critical if community psychology is to achieve its promise as a field of ecological inquiry and social action. The purpose of this paper and special issue is to help make the benefits of interdisciplinary community research clearer and to identify and begin to address its challenges. Although some areas of psychology (e.g., biological, cognitive and health) have made substantial interdisciplinary strides in recent decades, progress in community psychology (and related areas) is more modest. In this article we explore the prospects for expanding and improving interdisciplinary community research. Challenges include designs, measures, and analytical frameworks that integrate multiple levels of analysis from individuals through families, organizations, and communities to policy jurisdictions, and the complexities involved in simultaneously bringing together multiple disciplinary collaborators and community partners. Challenges to interdisciplinary collaboration common to all disciplines include the disciplinary nature of academic culture and reward structures, limited funding for interdisciplinary work and uncertainties related to professional identity and marketability. Overcoming these challenges requires a synergy among facilitative factors at the levels of the interdisciplinary project team (e.g., the framing question; embedded relationships; leadership), the investigators (e.g., commitment to new learning; time to invest), and the external context (e.g., physical, administrative, economic and intellectual resources and support for interdisciplinary work). We conclude by identifying several exemplars of effective interdisciplinary collaborations and concrete steps our field can take to enhance our development as a vibrant community-based, multilevel discipline increasingly devoted to interdisciplinary inquiry and action.     

Messages about physical attractiveness in animated cartoons

Relying upon a content analysis of one specific type of medium to which young people are exposed beginning at an early age, on a regular basis, and for many years (i.e., animated cartoons), the present study examines what types of messages are provided about being physically unattractive, physically attractive, and ordinary-looking. This research concerns itself with identifying the characteristics that tend to be associated with being good-looking or unattractive, and then discussing the implications of the findings. Results indicate that many variables were found to differ based on cartoon characters’ physical attractiveness, including gender, age, intelligence, body weight, emotional states experienced, prosocial behaviors, antisocial behaviors, and overall goodness/badness. Whenever differences were found, the overriding tendency was for cartoons to provide positive messages about being attractive and negative messages about being unattractive.