Privatization and National Development: A Case Study of Ghana

Proponents of privatization claim that privatization can enhance efficiency, reduce public sector debt and consequently improve overall economic performance. However, in many developing countries, and Africa in particular, the evidence is mixed. An exploratory study is done from the perspective of citizens’ about the impact of privatization on the Ghanaian national economy. The findings of the study suggest that: 1) the privatization program is pro rich; it benefits the economic and political elites more than it benefits the nation as a whole; 2) there is a high level of corruption associated with the privatization process; and 3) Privatization is not considered as one of the most important tools needed for national development, though the survey finds that many respondents believe that there is the need for some reforms in the public sector to promote national development. The results of the study indicate that administrative and political problems cannot be overcome simply by reducing the size of the state bureaucracy, but rather making government more accountable in meeting the needs of its people.     

Changing Attitudes Toward the Homeless: The Effects of Prosocial Communication With the Homeless

One hundred, thirty-four undergraduate students participated in a field experiment designed to examine the effects of extended, prosocial communication with homeless persons, upon attitudes toward the homeless problem, of behavioral intentions towards the homeless, and of causal attributions about homelessness. It was expected that prosocial interaction with the homeless would produce shifts in attitudes and behavioral intentions toward the homeless and homelessness and result in greater attributions of external causes to explain homelessness. Nineteen experimental participants worked 15 hours at a local homeless shelter. Their responses to a posttest questionnaire that measured a range of attitudinal and behavioral orientations toward the homeless were compared with control participants who did not work at the shelter. Subsequent analyses furnished strong evidence of positive changes in attitudes and intentions toward homelessness among the shelter workers. These participants evaluated homeless people as less blameworthy and more socially attractive than did control participants; moreover, shelter workers indicated more personal responsibility and behavioral commitment to helping the homeless than control participants. They also perceived the homeless problem to be more serious and were more likely to attribute homelessness to bad luck than control participants. However, the two groups were equally likely to attribute homelessness to various external causes such as the economy, housing costs, and governmental policies. The results are interpreted as having policy implications for volunteer service.     

Examining Localized Patterns of Air Quality Perception in Texas: A Spatial and Statistical Analysis

Environmental and human health issues associated with outdoor air pollution, such as ozone, sulfur dioxide, and other pollutants in metropolitan regions, are an area of growing concern for both policy officials and the general public. Increasing attention from the news media, new health data, and public debate over the effectiveness of clean air regulations have raised the importance of air quality in the public consciousness. While public perceptions of air quality have been studied thoroughly dating back to the 1960s, little empirical research has been conducted to explain the spatial aspects of these perceptions, particularly at the local level. Although recent studies suggest characteristics of local setting are important in shaping perceptions of air quality, the roles of proximity, neighborhood characteristics, and location have not been clarified. This study seeks to improve understanding of the major factors shaping public perceptions of air quality by examining the spatial pattern of local risk perception, the role of socioeconomic characteristics in forming these perceptions, and the relationship between perceived and scientifically measured air pollution. First, we map the spatial pattern of local air quality perceptions using Geographic Information Systems (GIS) across the Dallas and Houston metropolitan areas. Next, we explain these perceptions through local contextual factors using both bivariate correlations and multivariate regression analysis. Results indicate that perceptions of air quality in the study areas are not significantly correlated with air quality based on readings of air monitoring stations. Instead, perceptions appear to be influenced by setting (urban vs. rural), state identification, access to information, and socioeconomic characteristics such as age, race, and political identification. We discuss the implications of the findings and provide direction on how further research can provide a deeper understanding of the local contextual factors influencing public perceptions.     

On making causal claims: A review and recommendations

Social scientists often estimate models from correlational data, where the independent variable has not been exogenously manipulated; they also make implicit or explicit causal claims based on these models. When can these claims be made? We answer this question by first discussing design and estimation conditions under which model estimates can be interpreted, using the randomized experiment as the gold standard. We show how endogeneity – which includes omitted variables, omitted selection, simultaneity, common-method variance, and measurement error – renders estimates causally uninterpretable. Second, we present methods that allow researchers to test causal claims in situations where randomization is not possible or when causal interpretation could be confounded; these methods include fixed-effects panel, sample selection, instrumental variable, regression discontinuity, and difference-in-differences models. Third, we take stock of the methodological rigor with which causal claims are being made in a social sciences discipline by reviewing a representative sample of 110 articles on leadership published in the previous 10 years in top-tier journals. Our key finding is that researchers fail to address at least 66% and up to 90% of design and estimation conditions that make causal claims invalid. We conclude by offering 10 suggestions on how to improve non-experimental research.