迎接心理学发展的第三波

心理学自冯特始便存在两种类型,自然科学的心理学和人文的心理学.本土心理学依据“一种心智,多种心态”的原则,建构了儒家关系主义理论和自我曼陀罗模型,这种含摄文化的理论解决了冯特以科学方法研究文化的难题.批判实在论和多重哲学典范的结合,奠定了华人本土心理学科学哲学基础,在此基础上,华人本土心理学将迎来心理学发展的第三波.     

Italian Adaptation and Confirmatory Factor Analysis of the Full and the Short Form of the Posttraumatic Growth Inventory

This study was designed to adapt and to assess the reliability and factor structure of an Italian translation of the full and short form of the Posttraumatic Growth Inventory. A sample of 1,244 Italian adults who had experienced a range of adverse life events participated in this study. Five models of the underlying structure of the Posttraumatic Growth Inventory were tested via confirmatory factor analyses. Analyses of both the short and full form of the PTGI provided support for the original correlated five-factor structure. Multigroup confirmatory factor analysis supported the invariance of the Posttraumatic Growth Inventory across gender.     

An Initial Investigation of the Factor-Analytic Structure of the Impact of Event Scale-Revised With a Volunteer Firefighter Sample

We provide an initial evaluation of the factor structure of the Impact of Event Scale-Revised (IES-R) when used with a volunteer firefighter and a similar community participant sample. A volunteer firefighter sample (n = 65) and a sample of similar community respondents (n = 103) completed a questionnaire study, including responses to the IES-R. The IES-R data from both groups were entered into a three-factor principal components analysis with direct oblimin rotation. We found further support for the validity of the IES-R when used with a community sample. However, our data suggested that when using the IES-R with a community sample, the choice between a two- and a three-factor model may depend on the composition of the participants. For volunteer firefighters, the factor-analytic structure of the IES-R appeared to be similar to that of the community sample, with more scatter in terms of item loadings. To our knowledge, there is no previous research considering the use of the IES-R with a strictly volunteer firefighter sample. In addition, despite adequate research on the factor-analytic structure of the original IES, little research has considered the factor-analytic structure of the more recent IES-R, even with community samples.     

The “impact factor style of thinking”: A new theoretical framework

Over the last few years, university policy in developed countries has placed too much emphasis on assessing publications on the basis of the impact factor. Any scientific material that has not been published in a journal indexed in the Journal Citation Reports is academically irrelevant. Hence, researchers strive hard to publish in such journals. Failure to achieve this means not having a successful career or receiving any academic recognition. A thorough analysis of the effects of this phenomenon on the researcher community leads to the conclusion that the overestimation of the impact factor is likely to cause disappointment among many researchers. Researchers only have two options: adopting a politically correct behavior, that is, following the “impact factor style of thinking”, or accepting the futility of their research regardless of its relevance. This is an example of the involvement of university policy habitus obsessed impact index. O policy impact index is accepted, or is doomed to academic ostracism, and exclusion from participation in all university policy.     

What kind of kind is intelligence?

The model of human intelligence that is most widely adopted derives from psychometrics and behavioral genetics. This standard approach conceives intelligence as a general cognitive ability that is genetically highly heritable and describable using quantitative traits analysis. The paper analyzes intelligence within the debate on natural kinds and contends that the general intelligence conceptualization does not carve psychological nature at its joints. Moreover, I argue that this model assumes an essentialist perspective. As an alternative, I consider an HPC theory of intelligence and evaluate how it deals with essentialism and with intuitions coming from cognitive science. Finally, I highlight some concerns about the HPC model as well, and conclude by suggesting that it is unnecessary to treat intelligence as a kind in any sense.     

Examining the factor structure of narrative meaning-making for stressful events and relations with psychological distress

This study examined the underlying factor structure of 15 narrative meaning-making indices for narratives of stressful events, and explored the incremental validity of the narrative factor solution over and above general personality traits in predicting various indices of psychological well-being. Two-hundred and twenty four undergraduates (M_age?=?19.2 years, SD_age?=?2.1; 114 males and 110 females; 67.6% Caucasian, 12.0% East Asian, 7.6% African-American, 4.0% South Asian, 2.2% Hispanic, and 6.7% as mixed or Other origin) wrote about the most traumatic experience in their life, and completed a series of psychological questionnaires. The narratives were coded in 15 ways theoretically derived from the narrative meaning-making literature. A series of exploratory structural equation models indicated that a four-factor solution best approximated the data. The four factors were: positive processing, negative processing, integrative meaning, and structure. All four factors related differentially to indices of well-being over and above traits. There appear to be four distinct, but related, factors of narrative meaning-making for memories of stressful events, which shed light on the nuanced relations with well-being.     

Dimensionality of stress experiences: Factorial structure of the Perceived Stress Questionnaire (PSQ) in a population‐based Swedish sample

We investigated the factorial structure of the Perceived Stress Questionnaire (PSQ‐recent; Levenstein, Prantera, Varvo et al., 1993) in a large (N = 1516; 35–95 years) population‐based Swedish sample (Nilsson, Adolfsson, Bäckman et al., 2004; Nilsson, Bäckman, Erngrund et al., 1997). Exploratory principal components analysis (PCA) was conducted on a first, randomly drawn subsample (n = 506). Next, the model based on the PCA was tested in a second sample (n = 505). Finally, a third sample (n = 505) was used to cross‐validate the model. Five components were extracted in the PCA (eigenvalue > 1) and labeled “Demands,” “Worries/Tension,” “Lack of joy,” “Conflict,” and “Fatigue,” respectively. Twenty‐one out of the 30 original PSQ items were retained in a confirmatory factor analysis (CFA) model that included the five (first‐order) factors and, additionally, a general (second‐order) stress factor, not considered in prior models. The model showed reasonable goodness of fit [χ²(184) = 511.2, p < 0.001; CFI = 0.904; RMSEA = 0.059; and SRMR = 0.063]. Multigroup confirmatory factor analyses supported the validity of the established model. The results are discussed in relation to prior investigations of the factorial structure of the PSQ.     

The bifactor structure and the “dark nomological network” of the State Self-Esteem Scale

The State Self-Esteem Scale (SSES) measures transient feelings of self-worth. The SSES has been hypothesized to possess a number of latent structures, ranging from one to three factors. The present study compared these putative structures along with a newly hypothesized bifactor structure (i.e., one global factor, three subfactors). Results offered greatest support for the bifactor model. A secondary goal was to further assess the nomological network surrounding state self-esteem by examining correlations involving an expanded measure of basic personality (i.e., the HEXACO), Dark Triad traits, and sexual attitudes and behaviors. In general, these correlations were consistent with the theoretical portrait of state self-esteem and were also consistent with correlations involving trait-level self-esteem. Most notably, however, scores on the SSES consistently correlated negatively with measures of the Dark Triad traits, suggesting a possible theoretical distinction between state- and trait-level self-esteem.     

Measurement invariance of the Satisfaction With Life Scale (SWLS) by gender and age in Angola

Subjective well-being is a research arena that has grown almost exponentially: over the last 20 years, the number of publications on subjective well-being has increased approximately 16-fold (Diener, 2009). The cognitive aspect of subjective well-being or life satisfaction is referred to a conscious cognitive judgment of life (Diener, Emmons, Larsen, & Griffin 1985), in which person’s quality of life is globally assessed (Shin & Johnson, 1978). The Satisfaction With Life Scale (SWLS, Diener et al., 1985) is the most widely used instrument for its measurement. A reliable, valid and invariant measurement is critical for meaningful comparisons. The aim of this study is to examine the configural, metric and scalar invariance across age in the Portuguese version of the SWLS with a sample of 5630 Angolans. A standard measurement invariance procedure has been applied both across gender and age. Results shown that scalar invariance of the SWLS held across gender and age. This strong invariance allowed for meaningful latent mean comparisons. There were latent mean differences due to gender and age, but while gender differences were modest, the age differences were larger. Results are discussed in their relation with existing literature.