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.     

New assessment systems for residential treatment,management, research,and evaluation: A symposium

An introduction and overview are presented to new observational assessment systems for ongoing assessment and monitoring of both staff and resident (client or patient) functioning in residential treatment programs for emotionally disturbed and mentally retarded adults.Preparation of articles and the research and development on which the articles are based was supported, in part, by Public Health Service Grants MH-15553 and MH-25464 from the National Institute of Mental Health, and by grants from the Joyce Foundation and the Illinois Department of Mental Health and Developmental Disabilities.A symposium presented at the 87th Annual Meetings of the American Psychological Association, New York City, September 1979.     

Systems use to objectify program evaluation,clinical, and management decisions

The utility of the observational assessment systems at different levels — from local clinical to systemwide management — is outlined. An overview is provided of TSBC information applied to individualized problem identification and programming/monitoring, discharge and competency determinations, and both absolute and comparative program evaluation. The utility of SRIC information for prgoramming/monitoring and for staff training and evaluation is outlined in addition to the applied uses of the information of the assessment systems in combination. Once implemented, the continuous data from the systems allow for empirically based self-corrective improvements in the quality of mental health services while automatically providing a basis for legal documentation and accurate cost/effectiveness comparisons of mental health programs.Preparation of this article and the research and development on which the article is based were supported, in part, by Public Health Service Grants MH-15553 and MH-25464 from the National Institute of Mental Health, and by grants from The Joyce Foundation and the Illinois Department of Mental Health and Developmental Disabilities.Presented at the 87th Annual Meetings of the American Psychological Association, New York City, September 1979, as part of a symposium on New assessment systems for residential treatment, management, research, and evaluation.     

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.     

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.     

Social influence matters: We follow pandemic guidelines most when our close circle does

Why do we adopt new rules, such as social distancing? Although human sciences research stresses the key role of social influence in behaviour change, most COVID-19 campaigns emphasize the disease’s medical threat. In a global data set (n = 6,675), we investigated how social influences predict people’s adherence to distancing rules during the pandemic. Bayesian regression analyses controlling for stringency of local measures showed that people distanced most when they thought their close social circle did. Such social influence mattered more than people thinking distancing was the right thing to do. People’s adherence also aligned with their fellow citizens, but only if they felt deeply bonded with their country. Self-vulnerability to the disease predicted distancing more for people with larger social circles. Collective efficacy and collectivism also significantly predicted distancing. To achieve behavioural change during crises, policymakers must emphasize shared values and harness the social influence of close friends and family.     

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.     

Are high levels of religiosity inconsistent with a high valuation of science? Evidence from the United States,China and Iran

We asked whether high levels of religiosity are inconsistent with a high valuation of science. We explored this possibility in three countries that diverge markedly in the relation between the state and religion. Parents in the United States (n = 126), China (n = 234) and Iran (n = 77) completed a survey about their personal and parental stance towards science. The relation between religiosity and the valuation of science varied sharply by country. In the U.S. sample, greater religiosity was associated with a lower valuation of science. A similar but weaker negative relation was found in the Chinese sample. Parents in the Iranian sample, by contrast, valued science highly, despite high levels of religiosity. Given the small size of our United States and Iranian samples, and the non-probabilistic nature of our samples in general, we caution readers not to generalise our findings beyond the current samples. Despite this caveat, these findings qualify the assumption that religiosity is inconsistent with the valuation of science and highlight the role of sociocultural context in shaping adults' perception of the relation between religion and science.