In both the United States and Europe, concerns have been raised about whether preservice and in-service training succeeds in equipping teachers with the professional knowledge they need to deliver consistently high-quality instruction. This article investigates the significance of teachers' content knowledge and pedagogical content knowledge for high-quality instruction and student progress in secondary-level mathematics. It reports findings from a 1-year study conducted in Germany with a representative sample of Grade 10 classes and their mathematics teachers. Teachers' pedagogical content knowledge was theoretically and empirically distinguishable from their content knowledge. Multilevel structural equation models revealed a substantial positive effect of pedagogical content knowledge on students' learning gains that was mediated by the provision of cognitive activation and individual learning support. American Educational Research Journal March 2010, Vol. 47, No. 1, pp. 133-180 DOI: 10.3102/0002831209345157 Ó 2010 AERA. http://aerj.aera.netat Max Planck Ins on July 27, 2011 http://aerj.aera.net Downloaded from KEYWORDS: teacher knowledge, teacher education, mathematics, instruction, cognitive activation, hierarchical modeling with latent variables S ince Lee Shulman's presidential address at the 1985 American Educational Research Association meeting-in which Shulman went beyond the generic perspective of educational psychology, emphasizing the importance of domain-specific processes of learning and instruction-educational research JÜ RGEN BAUMERT is a co-director at Max Planck Institute for Human Development, Center for Educational Research, Lentzeallee 94, 14195 Berlin, Germany; e-mail: sekbaumert@mpib-berlin.mpg.de. His research interests include research in teaching and learning, cultural comparisons, large-scale assessment, and cognitive and motivational development in adolescence. MAREIKE KUNTER is a research scientist at Max Planck Institute for Human Development, e-mail: kunter@mpib-berlin.mpg.de. Her research interests include teacher research, motivational processes in the classroom, and assessment of instructional processes. WERNER BLUM is a professor of mathematics education at University of Kassel, e-mail: blum@mathematik.uni-kassel.de. His research interests include empirical research on instructional quality in mathematics, national and international comparison studies in mathematics, approaches to application, modeling, and proofs in mathematics instruction. MARTIN BRUNNER is an associate professor at University of Luxembourg, e-mail: martin.brunner@uni.lu. His research interests include research on cognitive abilities, achievement, and achievement motivation by means of modern measurement models. THAMAR VOSS is a predoctoral research fellow at Max Planck Institute for Human Development, e-mail: voss@mpib-berlin.mpg.de. Her research interests include research on instruction and learning, teacher research, and teacher beliefs. ALEXANDER JORDAN is an academic staff member at University of Biel...

How, and for whom, does disgust influence moral judgment? In four experiments participants made moral judgments while experiencing extraneous feelings of disgust. Disgust was induced in Experiment 1 by exposure to a bad smell, in Experiment 2 by working in a disgusting room, in Experiment 3 by recalling a physically disgusting experience, and in Experiment 4 through a video induction. In each case, the results showed that disgust can increase the severity of moral judgments relative to controls. Experiment 4 found that disgust had a different effect on moral judgment than did sadness. In addition, Experiments 2-4 showed that the role of disgust in severity of moral judgments depends on participants' sensitivity to their own bodily sensations. Taken together, these data indicate the importance-and specificity-of gut feelings in moral judgments.

The Posttraumatic Stress Disorder Checklist (PCL-5; Weathers et al., 2013) was recently revised to reflect the changed diagnostic criteria for posttraumatic stress disorder (PTSD) in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association, 2013). We investigated the psychometric properties of PCL-5 scores in a large cohort (N = 912) of military service members seeking PTSD treatment while stationed in garrison. We examined the internal consistency, convergent and discriminant validity, and DSM-5 factor structure of PCL-5 scores, their sensitivity to clinical change relative to PTSD Symptom Scale-Interview (PSS-I; Foa, Riggs, Dancu, & Rothbaum, 1993) scores, and their diagnostic utility for predicting a PTSD diagnosis based on various measures and scoring rules. PCL-5 scores exhibited high internal consistency. There was strong agreement between the order of hypothesized and observed correlations among PCL-5 and criterion measure scores. The best-fitting structural model was a 7-factor hybrid model (Armour et al., 2015), which demonstrated closer fit than all other models evaluated, including the DSM-5 model. The PCL-5's sensitivity to clinical change, pre- to posttreatment, was comparable with that of the PSS-I. Optimally efficient cut scores for predicting PTSD diagnosis were consistent with prior research with service members (Hoge, Riviere, Wilk, Herrell, & Weathers, 2014). The results indicate that the PCL-5 is a psychometrically sound measure of DSM-5 PTSD symptoms that is useful for identifying provisional PTSD diagnostic status, quantifying PTSD symptom severity, and detecting clinical change over time in PTSD symptoms among service members seeking treatment. (PsycINFO Database Record

Drawing on the work of L. S. Shulman (1986), the authors present a conceptualization of the pedagogical content knowledge and content knowledge of secondary-level mathematics teachers. They describe the theory-based construction of tests to assess these knowledge categories and the implementation of these tests in a sample of German mathematics teachers (N ϭ 198). Analyses investigate whether pedagogical content knowledge and content knowledge can be distinguished empirically, and whether the mean level of knowledge and the degree of connectedness between the two knowledge categories depends on mathematical expertise. Findings show that mathematics teachers with an in-depth mathematical training (i.e., teachers qualified to teach at the academic-track Gymnasium) outscore teachers from other school types on both knowledge categories and exhibit a higher degree of cognitive connectedness between the two knowledge categories.

The theory of performance feedback views decision makers as problem solvers seeking to improve performance. By specifying how and when decision makers may instead seek to enhance their self-image by assessing performance as satisfactory, the model presented in this article specifies boundaries on performance feedback theory's critical prediction that low performance induces increased search, change, and risk taking, and it suggests one reason why decision makers sometimes fail to learn from their mistakes.