Using Bayesian Aldrich‐McKelvey Scaling to Study Citizens' Ideological Preferences and Perceptions

Aldrich‐McKelvey scaling is a powerful method that corrects for differential‐item functioning (DIF) in estimating the positions of political stimuli (e.g., parties and candidates) and survey respondents along a latent policy dimension from issue scale data. DIF arises when respondents interpret issue scales (e.g., the standard liberal‐conservative scale) differently and distort their placements of the stimuli and themselves. We develop a Bayesian implementation of the classical maximum likelihood Aldrich‐McKelvey scaling method that overcomes some important shortcomings in the classical procedure. We then apply this method to study citizens' ideological preferences and perceptions using data from the 2004–2012 American National Election Studies and the 2010 Cooperative Congressional Election Study. Our findings indicate that DIF biases self‐placements on the liberal‐conservative scale in a way that understates the extent of polarization in the contemporary American electorate and that citizens have remarkably accurate perceptions of the ideological positions of senators and Senate candidates.     

Changes in the professional commitment of police recruits: An exploratory case study

This research examines the effect of the initial socialization process on the level of professionalism among a cohort of thirty-six police recruits. These police recruits were surveyed at two points in their careers about their degree of professional commitment to the occupation. The first test period immediately followed their appointment to the force, and the second test period was six months later. Our principal finding was a significant decline in the level of professional commitment among the recruits between the two test periods; related findings to the professionalization process were similarly noted. The research demonstrates the effect of the initial socialization process among police and suggests ways police administrators can minimize the effect of initial socialization on level of professionalism, depending on their theoretical orientation.     

How High-Yield Farming Saves Nature

High-yield farming—more agricultural output per acre of farmland—has been a boon to mankind and to nature. If today’s agricultural efficiency was the same as in the 1950s, the world would need three times the cropland to produce today’s food supply. That would mean that 15-16 million mi² of forest would have been destroyed—all the global forest area available today. Rising population and increased affluence will require a tripling of agricultural efficiency in the next 50 years if we are to protect wildlife at the same time. More investment in agricultural research and education will be required, but this is what produced the previous green revolution.