How much woe when we go: A quantitative method for predicting culture shock

Culture shock is defined as the confusion and discomfort caused by the conflict in perceived motives and expected behaviors between the home culture and the foreign culture. Several quantitative and graphical methods employing techniques of cluster analysis and similarity mapping are offered for predicting the magnitude of culture shock between pairs of countries using data extracted from Hofstede's 1980–83 studies of national cultural values. Implications for business, politics, and personal stress management are discussed.     

NATURALISTIC OBSERVATIONS OF INSTITUTIONALIZED RETARDED PERSONS: A COMPARISON OF LICENSURE DECISIONS AND BEHAVIORAL OBSERVATIONS

In the last several years, various organizations have produced strikingly similar documents by which institutions for retarded persons are judged for licensure. The purpose of the present study was to determine whether residential units that were licensed differed from residential units that were not licensed in terms of the active programming behaviors of their staff and residents. Data were collected through a time-sampling procedure that yielded about 160,000 observations on eight staff and six resident behaviors. Results showed that the licensed units were just as derelict as unlicensed units in providing habilitative programming for their retarded residents. Maladaptive responding by residents occurred at least as much as task-related behaviors: residents spent as much time self-stimulating as they did in programming; they also engaged in self-abusive behavior about as much time as they engaged in on-task responding. Results were discussed in terms of the failure of governmental regulations that are not based on observation to adequately assess habilitative programming.     

An examination of the effect of six types of error perturbation on fifteen clustering algorithms

An evaluation of several clustering methods was conducted. Artificial clusters which exhibited the properties of internal cohesion and external isolation were constructed. The true cluster structure was subsequently hidden by six types of error-perturbation. The results indicated that the hierarchical methods were differentially sensitive to the type of error perturbation. In addition, generally poor recovery performance was obtained when random seed points were used to start theK-means algorithms. However, two alternative starting procedures for the nonhierarchical methods produced greatly enhanced cluster recovery and were found to be robust with respect to all of the types of error examined.     

Prejudice and peace: Is the Swedish youth neutral in its attitudes?

Two hundred and sixty Swedish students attending grade 9 were given a semantic differential to measure their attitudes towards four countries, Sweden, West Germany, USA, and the Soviet Union. The Soviet Union received significantly more unfavourable ratings on nearly all variables than the other countries, which received mainly favourable or neutral ones. Most interesting, the Soviet Union is rated as "enemy", whilst the other countries are rated as "friends". Implications for peace education are discussed.     

Time-series analysis in operant research

A time-series method is presented, nontechnically, for analysis of data generated in individual-subject operant studies, and is recommended as a supplement to visual analysis of behavior change in reversal or multiple-baseline experiments. The method can be used to identify three kinds of statistically significant behavior change: (a) changes in score levels from one experimental phase to another, (b) reliable upward or downward trends in scores, and (c) changes in trends between phases. The detection of, and reliance on, serial dependency (autocorrelation among temporally adjacent scores) in individual-subject behavioral scores is emphasized. Examples of published data from the operant literature are used to illustrate the time-series method.     

课程学习经历提升青少年社会参与素养：链式中介效应

运用基于学校的研究范式,以上海市某中学为样本学校,考察社会参与特色课程学习经历对青少年社会参与素养的影响机制。结果显示:（1）修学的特色课程门数（量）、情感体验（质）、公共服务动机和社会参与素养两两显著正相关;（2）情感体验和公共服务动机在课程学习数量和社会参与素养间发挥部分中介作用;（3）未发现基础课程成绩在链式中介中起调节作用。研究为通过加强课程情感体验进而提升青少年核心素养提供了积极启示。     

Who drops-out? Do measures of risk to self and to others predict unplanned endings in primary care counselling?

Aims: Unplanned endings, where clients unilaterally end therapy, are of concern for psychological therapy services generally as they raise questions about the appropriateness of the treatment and it's delivery for some clients. Limited available data indicates that those who drop-out often have more severe symptoms at entry, and have poorer clinical outcomes. This raises further questions about risk to self and others for those clients who leave therapy prematurely and how these clients might be identified and kept engaged. Method: This paper uses a large dataset of CORE data collected routinely in a primary care counselling service between 2000 and 2003. Logistic regression was utilised to consider different measures of risk and other client characteristics recorded at assessment to predict drop-out from the service. Results: These indicate that younger age, greater psychological distress at assessment, an addiction problem and greater risk to others, are associated with an unplanned ending. However, no reliable logistic regression model could be produced. This may be partly due to data quality issues or important characteristics not being available in the data. Implications for practice: The paper concludes that counsellors should actively seek to minimise unplanned endings, as amongst them may be represented the more distressed and risky clients referred to primary care counselling.     

Spread of Risk Information Through Microblogs: Twitter Users with More Mutual Connections Relay News That is More Dreadful1

In elucidating the spread of risk information through microblogging, it is important to understand the behaviors of numerous average users, in addition to the activities of authorities. We followed the transmission pathways of 10 actual widely spread tweets concerning several risk information topics, including natural disasters, nuclear disasters, and infectious diseases, and we identified the types of risk that affected retweeting by classifying each tweet based on Slovic's risk-perception model. Furthermore, we examined the types of users who did and did not retweet the information. Users with few connections in the form of followers (i.e., people who are following a user) or followees (people a user is following), or with a low ratio of mutual followers within their connections, had a tendency to retweet a large amount of risk information, regardless of the type of risk involved. On the other hand, users with a high ratio of mutual followers exhibited a greater tendency to retweet risk information when it was perceived as dreadful, though they did not retweet risk information much on the whole. These results suggest that there are two mechanisms by which risk information is spread within the Twitter network: information exchange and social sharing of personal reactions.     

Interactive effects of social network centrality and social identification on stress

The present study aimed to integrate the social identity approach to health and well-being with social network analysis. Previous research on the effects of social network centrality on stress has yielded mixed results. Building on the social identity approach, we argued that these mixed results can be explained, in part, by taking into account the degree to which individuals identify with the social network. We hence hypothesized that the effects of social network centrality on stress are moderated by social identification. Using a full roster method, we assessed the social network of first-year psychology students right after the start of their study programme and three months later. The effects of network centrality (betweenness, closeness, eigenvector centrality) and social identification on stress were examined using structural equation models. As predicted, our results revealed a significant interaction between network centrality and social identification on stress: For weakly or moderately identified students, network centrality was positively related to stress. By contrast, for strongly identified students, network centrality was unrelated to stress. In conclusion, our results point to the perils of being well-connected yet not feeling like one belongs to a group.     

Comparing Chinese youth with American youth on adjustment: An illustration of measurement issues in cross-cultural research

In this article, we used results from two studies to show the need to go beyond linguistic equivalence to establish construct validity and measurement invariance in cross-cultural research. Study 1 examined Rosenberg Self-Esteem (RSE; 10 items) data from 156 Mainland Chinese youth (M = 13.8 years, SD = .53) and 213 Chinese-American youth (M = 13.6 years, SD = 2.1) from high socioeconomic status (SES) families. The Chinese translation of the RSE has been widely used. Study 2 included 1060 Mainland Chinese youth (M = 15.6 years, SD = 2.3) and 412 racially diverse American youth (M = 16.0, SD = 2.9) from all SES backgrounds. Data were collected with the third and newest edition of the Behavioural Assessment System for Children-Self Report of Personality (BASC-3-SRP; 189 items). We translated and back-translated the BASC-3-SRP between English and Chinese to establish linguistic equivalence. All participants were females. Study 1 showed that the RSE had acceptable internal consistency but lacked construct validity. Study 2 showed that the original and the translated BASC-3-SRP had good internal consistency and construct validity, but nine of its 16 subscales lacked measurement invariance. These results highlight measurement issues facing international and cross-cultural research.