Action Research: A Missing Component in the Emergence of Social and Cross‐Cultural Psychology as a Fully Inter‐Connected Global Enterprise

Action research, as envisaged by Lewin, uses research to solve a social problem and provide theoretical knowledge. It involves a cyclical–spiral of planning, action, and evaluation with feedback between parties, taking into account power and value differences and empowering change agents. This has been all but abandoned by social psychologists today. Contemporary ‘participatory’ action research has migrated to fields like education and development and community studies that emphasize a social constructionist epistemology with a qualitative approach of recording bottom‐up processes of social change and community self‐awareness. The globalization of psychology affords new opportunities for a return to more top‐down Lewinian traditions, where academics in the developing world – embedded within a cultural milieu of interconnectedness and relatively exempt from pressures to publish or perish – can work together with academics in wealthy countries to produce a process oriented psychology that is capable of making a difference under conditions of climate change and the end of cheap oil. Asian social psychology, where strongly indigenous psychologies have taken root in growing economies, may take a leading role in this movement.     

小学青年教师社会支持与心理健康的相关研究

目的:探讨小学青年教师社会支持与心理健康之间的关系。方法:采用社会支持评定量表(SSRS)与症状自评量表(SCL-90),对296名小学青年教师进行心理健康、社会支持及其相关调查。结果:发现(1)SCL-90各个因子上小学青年男女教师均无显著差异。(2)在支持利用度得分平均数方面男教师低于女教师,差异达到极其显著的水平(P<0.01)。(3)支持总分的平均得分上男教师也显著低于女教师(P<0.05)。结论:小学青年教师的社会支持与其心理健康水平成正相关,不完善的社会支持与其心理健康水平成负相关。     

Long‐term immigrant adaptation: Eight‐year follow‐up study among immigrants from Russia and Estonia living in Finland

This study was a longitudinal investigation of the three different dimensions of long‐term immigrant adaptation (i.e., psychological, sociocultural, and socioeconomic adaptation) and the relationships between them in an 8‐year follow‐up with panel data. The 282 respondents were immigrants in Finland, born between 1961 and 1976, coming from the former Soviet Union. The results suggest that the adaptation of these immigrants has developed favourably. In 8 years, the respondents had improved their Finnish language skills and their position in the labour market. No differences were observed in their levels of psychological well‐being between the two assessments. Of the three adaptation dimensions assessed, sociocultural adaptation, measured as proficiency in understanding, speaking, reading, and writing Finnish, turned out to be the most significant predictor of the two other long‐term outcomes of immigrant adaptation (i.e., socioeconomic and psychological). In particular, the better the initial command of the Finnish language, the better were their socioeconomic and psychological adaptation outcomes after 8 years of residence. These results demonstrate the importance of parallel and longitudinal assessments of the different outcomes of immigrant adaptation in order to address which particular dimensions of adaptation are most critical in the beginning of acculturation in terms of determining positive development and long‐term immigrant adaptation.     

Influence analysis for the factor analysis model with ranking data

Influence analysis is an important component of data analysis, and the local influence approach has been widely applied to many statistical models to identify influential observations and assess minor model perturbations since the pioneering work of Cook (1986) . The approach is often adopted to develop influence analysis procedures for factor analysis models with ranking data. However, as this well‐known approach is based on the observed data likelihood, which involves multidimensional integrals, directly applying it to develop influence analysis procedures for the factor analysis models with ranking data is difficult. To address this difficulty, a Monte Carlo expectation and maximization algorithm (MCEM) is used to obtain the maximum‐likelihood estimate of the model parameters, and measures for influence analysis on the basis of the conditional expectation of the complete data log likelihood at the E‐step of the MCEM algorithm are then obtained. Very little additional computation is needed to compute the influence measures, because it is possible to make use of the by‐products of the estimation procedure. Influence measures that are based on several typical perturbation schemes are discussed in detail, and the proposed method is illustrated with two real examples and an artificial example.     

Parent Characteristics as Antecedents of Maternal Gatekeeping and Fathering Behavior

The present study examined the role of prebirth parent characteristics as predictors of maternal gatekeeping (mothers' attempts to encourage or discourage fathers' interaction with their infant) and fathering behavior. Parents' idealization of their relationships within their families of origin, beliefs about the roles of fathers, and personality attributes (negative emotionality and communion) were assessed before their infant's birth. At 3.5 months postpartum, maternal gatekeeping behaviors (negative control, facilitation) and fathers' involvement and competence with their infants were assessed during observation of triadic play and child care. Results suggest reciprocal relations between maternal gatekeeping and fathering behavior. Furthermore, greater paternal communion was associated with greater paternal competence during play, whereas greater maternal communion was associated with lower paternal competence during child care. Greater maternal communion and greater maternal idealization related to fathers' lower relative involvement during play. As for maternal gatekeeping behavior, high negative emotionality in 1 parent was only accompanied by high levels of inhibitory maternal gatekeeping when the other parent had less progressive beliefs about the father's role. The implications of these findings for clinicians and practitioners are discussed.     

Disregarding Preliminary Information When Rating Job Applicants' Performance: Mission Impossible?1

Firms allocate considerable resources to test job applicants' skills and to ensure that hiring decisions are nondiscriminatory. Interpreting selection output in light of preliminary information may undermine the impartiality of personnel selection decisions. In this study, human resource managers were presented preliminary information about a candidate's performance and asked to rate him according to a detailed assessment‐center report of his performance. We examined several interventions for reducing reliance on preliminary information: retrieving assessment‐center information, generating a rating model, or both. Participants (N = 167) excluded preliminary information from the interventions, but relied on it when rating the candidate. The documented failure to control for the effects of preliminary information on subsequent judgments can contribute to improved selection procedures.     

Examining Situationally Induced State Goal Orientation Effects on Task Perceptions,Performance, and Satisfaction: A Two‐Dimensional Conceptualization1

We examined the longitudinal effects of situationally induced 2‐dimensional state goal orientations (i.e., achievement goals) on perceptions, performance, and satisfaction. Results (N = 268) indicated that high state learning cues led to higher perceived challenge and, for higher ability individuals, greater performance gains. Further, high state performance cues led to higher perceived effort. However, results revealed that state learning and performance effects were more complex than expected. State learning effects on challenge and state performance effects on effort were both stronger with other cues absent. Additionally, increasingly beneficial state learning cue effects were stronger for higher ability individuals. Thus, results provided support that state learning and performance goals are separate dimensions, and their interactive effects need further examination.