The Influence of Group Size and Stigma Severity on Social Acceptance: The Case of People with Intellectual Disability Moving into Neighbourhoods

Dutch adults from a nationwide Internet panel (N = 426) were asked to imagine that their next‐door neighbours would move out and that people with intellectual disability would move in. Severity of disability and group size were varied to manipulate intergroup threat. These two factors independently influenced social acceptance and a variety of emotional and behavioural measures. In particular, it was found that a large group with severe disability aroused the strongest negative response, whereas a small group with mild disability aroused the weakest negative response. Small groups with a severe disability and large groups with a mild disability aroused similar and intermediate negative responses. Results are discussed in terms of theories of intergroup threat and stigmatisation. Practical implications for predicting the success of de‐institutionalisation and social integration of groups with special needs are addressed. Copyright © 2011 John Wiley & Sons, Ltd.     

Ethical leadership,person-organizational fit,and productive energy: a South African sectoral comparative study

ABSTRACT

Research suggests that ethical leadership (EL) affects employee behavior and organizational functioning. This study aimed to determine the relationship between EL and productive energy (PE), as mediated by person-organizational fit (POF). The study used assumptions of the social learning and social exchange theories that posit that leadership has a direct impact on employee behavior, mainly through role modeling and the reciprocal nature thereof. An empirical paradigm using a cross sectional quantitative design was used. The PE instrument (developed in the USA) was assessed for construct validity within the South African context (exploratory and confirmatory factor analysis). The analysis included a comparison between the private and public sectors, emphasizing the importance of context as differentiator. Relatively high, statistically significant correlations were found between the variables for both sectors and the combined sample. The hierarchical regression analysis indicated that 18% of the variance in PE is explained by EL. This model was improved by the inclusion of POF (total variance of 32% explained). The conceptual model was confirmed with structural equation modeling (SEM). The findings of this study suggest that EL has a significantly positive effect on PE and POF, which mediates the relationship between EL and PE. Sectoral differences were reported.