Citizens are asked to buy, and asked to consider to buy, goods of all sizes and all prices, nearly all of the time. Appeals to political decision-making are less common. In The Consumer Citizen, Ethan Porter investigates how the techniques of everyday consumer experiences can shape political behavior. Drawing on more than a dozen original studies, he shows that the casual conflation of consumer and political decisions has profound implications for how Americans think about politics. Indeed, Porter explains that consumer habits can affect citizens' attitudes about their government, their taxes, their politicians, and even whether they purchase government-sponsored health insurance. The consumer citizen approaches government as if it were just an ordinary firm. Of course, government is not an ordinary firm--far from it--and the disjunction between what government is, and the consumer apparatus that citizens bring to bear on their evaluations of it, offers insight into several long-unanswered questions in political behavior and public opinion. How do many Americans make sense of the political world? The Consumer Citizen offers a novel answer: By relying on the habits and tools that they learn as consumers.

Software Simulation and Modeling in Psychology: MATLAB, SPSS, Excel and E-Prime describes all the stages of psychology experimentation, from the manipulation of factors, to statistical analysis, data modeling, and automated stimuli creation. The book shows how software can help automate various stages of the experiment for which operations may quickly become repetitive. For example, it shows how to compile data files (instead of opening files one by one to copy and paste), generate stimuli (instead of drawing one by one in a drawing software), and transform and recode tables of data. This type of modeling in psychology helps determine if a model fits the data, and also demonstrates that the algorithmic is not only useful, but essential for modeling data.

Language, Volume 68, the latest release in the Psychology of Learning and Motivation, features empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving. Each chapter thoughtfully integrates the writings of leading contributors, with this volume presenting the latest on Perceptual Learning for Native and Non-Native Speech, Common representations of serial order in language and memory, Neurocomputational Emergentism as a framework for language development, Syntactic adaptation, Neural indices of structured sentence representation: state-of-the-art, A review of familial sinistrality and language, Monitoring and control in language production, and more.