Measuring non-cognitive skills using self-report instruments in developing countries has two main challenges: such instruments are expensive and have significant biases. Survey Effort, defined as the response rate in surveys, is a promising alternative to be used as a proxy for non-cognitive skills. This paper analyze the correlation between survey effort with socioemotional skills for low-income Brazilian students. We show that survey effort predict student's conscientiousness and agreeableness skills. We also find the presence of heterogeneous correlation in girls and students with different socioeconomic status.

This book provides an overview of recent research on the relationship between noncognitive attributes (motivation, self efficacy, resilience) and academic outcomes (such as grades or test scores). We focus primarily on how these sets of attributes are measured and how they relate to important academic outcomes. Noncognitive attributes are those academically and occupationally relevant skills and traits that are not “cognitive”—that is, not specifically intellectual or analytical in nature. We examine seven attributes in depth and critique the measurement approaches used by researchers and talk about how they can be improved.

Measures of cognitive, noncognitive, and technical skills are increasingly used in development economics to analyze the determinants of skill formation, the role of skills in economic decisions, or simply because they are potential confounders. Yet in most cases, these measures have only been validated in high-income countries. This paper tests the reliability and validity of some of the most commonly used skills measures in a rural developing context. A survey with a series of skills measurements was administered to more than 900 farmers in western Kenya, and the same questions were asked again after three weeks to test the reliability of the measures. To test predictive power, the study also collected information on agricultural practices and production during the four following seasons. The results show the cognitive skills measures are reliable and internally consistent, while technical skills are difficult to capture and very noisy. The evidence further suggests that measurement error in noncognitive skills is non-classical, as correlations between questions are driven in part by the answering patterns of the respondents and the phrasing of the questions. Addressing both random and systematic measurement error using common psychometric practices and repeated measures leads to improvements and clearer predictions, but does not address all concerns. The paper provides a cautionary tale for naive interpretations of skill measures. It also points to the importance of addressing measurement challenges to establish the relationship of different skills with economic outcomes. Based on these findings, the paper derives guidelines for skill measurement and interpretation in similar contexts.

"How can educators determine the most effective approaches for measuring students' social-emotional and self-regulation skills? And how can they use the data to improve their own practice? This book brings together leading experts from multiple disciplines to discuss the current state of measurement and assessment of a broad range of noncognitive skills and present an array of innovative tools. Chapters describe measures targeting the individual student, classroom, whole school, and community; highlight implications for instructional decision making; examine key issues in methodology, practice, and policy; and share examples of systematic school- and district-wide implementation"--

Evidence from developed country data suggests that cognitive and non-cognitive skills contribute to improved labor market outcomes. This paper tests this hypothesis in a developing country by using an individual-level data set from Peru that incorporates modules to measure cognitive and non-cognitive skills. The paper estimates a structural latent model with unobserved heterogeneity to capture full ability rather than just measured skill. It also applies standard ordinary least squares techniques for comparison. The analysis confirms that cognitive and non-cognitive skills are positively correlated with a range of labor market outcomes in Peru. In particular, cognitive skills positively correlate with wages and the probability of being a wage worker, white-collar, and formal worker, with verbal fluency and numeric ability playing particularly strong roles. The results are robust to methodology. The patterns are less uniform for non-cognitive skills. For instance, perseverance of effort (grit) emerges strongly for most outcomes regardless of methodology. However, plasticity-an aggregation of openness to experience and emotional stability-is only correlated with employment, and only when using the structural latent model. The ordinary least squares method also finds that the disaggregated non-cognitive skills of kindness, cooperation, emotional stability, and openness to experience emerge significantly, mostly for the wage estimates. The different results derived from the ordinary least squares and the structural model with latent skills suggest strong measurement bias in most non-cognitive skills measurement. These findings, although only correlational because of the use of a single cross-section, suggest that recent efforts by the Peruvian government to incorporate non-cognitive skill development into the school curriculum are justified.

This volume addresses questions that lie at the core of research into education. It examines the way in which the institutional embeddedness and the social and ethnic composition of students affect educational performance, skill formation, and behavioral outcomes. It discusses the manner in which educational institutions accomplish social integration. It poses the question of whether they can reduce social inequality, – or whether they even facilitate the transformation of heterogeneity into social inequality. Divided into five parts, the volume offers new insights into the many factors, processes and policies that affect performance levels and social inequality in educational institutions. It presents current empirical work on social processes in educational institutions and their outcomes. While its main focus is on the primary and secondary level of education and on occupational training, the book also presents analyses of institutional effects on transitions from vocational training into tertiary educational institutions in an interdisciplinary and internationally comparative approach.

Abstract: Results of research from the developed world suggests that noncognitive skills such as self-esteem or locus of control significantly affect key socioeconomic outcomes. More work is needed on whether studies of noncognitive skills in developing countries should use different measures of noncognitive skill, whether noncognitive skills have a different relationship with outcomes in developing countries, and whether programs can affect the formation of noncognitive skills. First, I briefly survey the measures which the developed and developing country strands of the literature use. I also draw on studies from psychology to argue that studies of noncognitive skill in developing countries do not require multidimensional measures of noncognitive skill, but that measures may need contextualization. Second, I look at whether a measure of noncognitive skill affects several youth labor force participation outcomes in India. Analyzing data from India using instrumental variables models with fixed effects (FE), I find evidence that noncognitive skills affect two of these outcomes. Finally, I look at whether participating in Head Start impacts child noncognitive skills. Using Children of the National Longitudinal Study of Youth (CNLSY) data and FE models, I find evidence of a negative impact.