Self-concept assessment for young children: Development of a self-report, peer comparison measure

The present investigation concerned the development of the Primary Self-Concept Inventory (PSCI), a group-administered self-report self-concept inventory for children of ages 5 through 8. Replicated analysis of the factor structure of the PSCI data indicated that a seven-component pattern provides an appropriate fit. As a result of this analysis, seven subscales were formed. Acceptable test—retest reliability estimates were obtained for administrations separated by a 6-month interval. On the basis of these results, the PSCI was accepted as a research tool, and recommendations for further investigation of the inventory were made.     

Processing Fluency in Education: How Metacognitive Feelings Shape Learning,Belief Formation,and Affect

Processing fluency—the experienced ease with which a mental operation is performed—has attracted little attention in educational psychology, despite its relevance. The present article reviews and integrates empirical evidence on processing fluency that is relevant to school education. Fluency is important, for instance, in learning, self-assessment of knowledge, testing, grading, teacher–student communication, social interaction in the multicultural classroom, and emergence of interest. After a brief overview of basic fluency research we review effects of processing fluency in three broad areas: metacognition in learning, belief formation, and affect. Within each area, we provide evidence-based implications for education. Along the way, we offer fluency-based insights into phenomena that were long known but not yet sufficiently explained (e.g., the effect of handwriting on grading). Bringing fluency (back) to education may contribute to research and school practice alike.     

The methodological benefits of social media: “studying up” in Brazil in the Facebook age

While conducting research on the organizational cultures of elite nonprofit organizations in Rio de Janeiro, the author encountered many access issues identified in the current literature: in particular, difficulty in encountering research subjects due to the transitional nature of educational nonprofits and the role of secretaries and administrators as gatekeepers. This article explores two previously undeveloped methodological innovations utilized by the author to overcome these difficulties with regard to access: namely, the use of social media as a participant recruitment tool and the use of an organization's online marketing presence as an alternative data source.     

Implications of Prelecture Material on Cognitive Load and Instructional Effectiveness in Cross‐Disciplinary IS Education: The Nexus of Benford's Law and SQL

For some time, there has been a call for cross‐disciplinary teaching within the business disciplines. With the rise of data and analytics, there is an opportunity for cross‐disciplinary teaching by integrating technology throughout the business curriculum. However, many business professors have little experience in cross‐disciplinary teaching. We hope to rectify this by introducing an approach that uses prelecture material to prepare students for learning concepts and terms that are not core to the focal class. In a study that combines Structured Query Language (SQL) coding with an audit principle called Benford's Law, we analyze the impact of adding prelecture material about Benford's Law on student's cognitive load, knowledge gained, and instructional efficiency. Results indicate that students who received a prelecture on Benford's Law outperformed the control group in performance measures related to Benford's Law, and that the instructional efficiency on Benford's Law was also higher for the treatment group. We did not find any significant differences in cognitive load between the two groups, nor did the treatment group perform significantly better when tested on the SQL concepts. We conclude that cross‐discipline teaching is a fine balance between each discipline and communicating to students the importance of both disciplines is key.     

Competencies for young European higher education graduates: labor market mismatches and their payoffs

Labor market rewards based on competencies are analyzed using a sample of young European higher education (HE) graduates. Estimates of monetary rewards are obtained from conventional earnings regressions, while estimates total rewards are based on job satisfaction and derived through ordered probit regressions. Results for income show that jobs with higher participative and methodological competency requirements are better paid. The results also show that higher requirements in terms of competencies increase graduates’ job satisfaction.