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The purpose of this chapter is to reveal explanations for completing upper secondary education. Focus is on the mechanisms that drive attainment of upper secondary education. I analyze the relative contributions of different factors measured by the relative increases in the log likelihood function. I also investigate the importance of characteristics other than the traditional variables, such as fathers’ and mothers’ occupations, their education, and household income, often applied in studies of educational attainment. I used a recent 1984 cohort database with information about educational completion and an informative set of measurements on noncognitive capacities, parental cultural capital, cultural capital, reading score, several school-related variables, and a rich set of family background variables. Attainment of upper secondary education was analyzed by a multinomial logit model, showing that characteristics other than the traditional variables all have significant importance. The analysis clearly depicted that the social position and educational levels of both parents remain important in determining whether the child embarks on completing an upper secondary education. Additionally, noncognitive dispositions show to be very important in explaining educational attainment, even when controlling for family background and refined cultural capital variables. Therefore, society should direct more efforts towards establishing children's cognitive and noncognitive skills and their ability to focus on schoolwork along with building their beliefs. Parents should be involved in a more content-sensitive sense when raising their children.

The purpose of this paper is to study the relationship between financial risk-taking and trait emotional intelligence (EI).

An incentivized online survey was conducted to collect the data, including measurements for cognitive ability and socio-demographic characteristics.

There is a positive correlation between trait EI and financial risk-taking that is at least as large as that between risk-taking and measures of cognitive control (CRT). Trait EI is a key determinant of risk-taking. However, not all components of trait EI play an identical role. In fact, we observe positive effects of well-being, mainly driven by males and sociability. Self-control seems to matter only for males.

This study suffers from the bias of self-reported answers, a common limitation of all survey studies.

This evidence provides a noncognitive explanation for the typically observed heterogeneity of financial risk-taking, in addition to more established explanations linked to cognitive skills. Investor profiles should be also determined on their trait EI.

Governments should start programs meant to improve the level of trait EI to ameliorate individual wealth outcomes. Female investors participation in the financial markets might increase by fostering their sociability.

The relationship between trait EI and each of its components with financial risk-taking is vastly unexplored, while it is the first time that gender effects are discussed in that set up.

The underdetermination argument establishes that scientists may use political values to guide inquiry, without providing criteria for distinguishing legitimate from illegitimate guidance. This chapter supplies such criteria. Analysis of the confused arguments against value-laden science reveals the fundamental criterion of illegitimate guidance: when value judgments operate to drive inquiry to a predetermined conclusion. A case study of feminist research on divorce reveals numerous legitimate ways that values can guide science without violating this standard.

The purpose of this study is to examine income satisfaction among Millennials during COVID-19. The authors explore the roles of cognitive factors: financial literacy and noncognitive factors: personality traits. Further, the authors also determine if financial status moderates the linkage between consumers' financial literacy and income satisfaction.

The sample size of the study is 1754, and the data were collected from April to December 2020. The authors employ ordered logistic regression analysis in the study.

The authors find that financially literate Millennials report high-income satisfaction during the pandemic. However, the impact of the cognitive factor gets nullified after considering the role of noncognitive factors. Further, income moderates the linkage between financial literacy and income satisfaction such that financially literate consumers in the high-income category derived more income satisfaction.

Consumer financial education should become more pervasive, and the focus should be placed on high-income consumers as, without financial literacy, they may not report high-income satisfaction. Further, the marketers should also keep in mind that personality traits play an important role in consumers' overall satisfaction, so financial services and products should be designed considering consumer personality traits.

The primary contribution of the paper is to show the positive impact of cognitive and noncognitive factors on income satisfaction. Moreover, personality traits are stronger predictors of income satisfaction such that extroverted individuals have high satisfaction, whereas openness to experience and neuroticism is negatively related to income satisfaction among Millennials.

Chapter 2 explains and demonstrates a systematic and science-based approach to the design of instructional systems. These design characteristics are related to the attributes of an effective curriculum discussed in Chapter 1. The consequences of the lack of a conceptual framework and its effects upon learning are discussed.

This curriculum design process employs a systematic approach in which each component of the curriculum is designed to reflect the optimal model for configuring the engagement, experience, and environment for the intended learning. Multiple sciences, theories, and research findings are used to inform and order each component into an effective and efficient learning process. As these components communicate the content and articulate the structure of learning, this approach optimizes the ability of the curriculum to capitalize upon the known or suspected qualities of the human perceptual system.

In this system of curriculum design, both the content and structure of the curriculum emerge from the collective intelligence of the discipline. The curriculum designer translates that disciplinary content and structure into learning objects (content) or events (structure) that drives and constrains the learner’s ability to achieve the learning, as conceived by the discipline. In this model of curriculum design, three dimensions of curriculum design differentiate the contribution to the learning processes of the learner. The dynamic interaction of three instructional dimensions enables the learner to engagement, participate in the learning, and benefit from the characteristics of the learning environment.

These three dimensions function as design variables and differentiate each dimension of the curriculum by the characteristics of the intended learning, the processes of instruction, and the consideration of the predispositions of the learners. The theories most concerned with the psychophysics of learning are used to organize and articulate the learning engagement components (learning outcomes and objectives) of the curriculum. The instructional theories plan the strategies that will be used to deliver the intended learning as identified and organized in the learning objectives to engineer a compelling learning experience. The sociological theories structure the learning activities to produce an efficient, consonant, and synergistic learning environment. Together, the use of these theories as design templates constitutes an evidence-based approach to the systematic design of the curriculum. These theories are transformed into design templates.

The design of the learning environment is also configured to engineer the learning environment to accommodate the cultural dispositions programmed into all learners. Cultural factors supply powerful drivers and constraints for human behavior and can be differentiated in the learning environment to promote and enhance learning. Cultural behaviors and mores are developed over hundreds of years and refined to ensure the continuation of a society and its “way of life.” These cultural traditions have effectively promoted and enhanced social behavior by programming each with cognitive strategies to ensure their success as a member of their social group. Individuals are unlikely or unable to discard these traditions when they enter a learning environment.

This paper presents the case for personnel systems based on maximizing the differential information gathered about individual abilities and their match to jobs. In the context of assignment to multiple jobs, such systems are shown to be more effective than those based on the currently dominant paradigm of maximizing predictive validity. The latter paradigm favours the measurement of general cognitive ability over multiple specific aptitudes. Recent differential approaches use computer simulation modelling of alternative hypothetical systems to evaluate potential efficiency. The paper reviews the theoretical background on the structure of human abilities which has led to these contrasting approaches to personnel system design, and presents evidence, based on the US Army selection and classification system, in support of the alternative approach. Individual test/aptitude profiles improve the efficiency of personnel selection and classification as well as academic, vocational and career counselling. They also provide a broader, potentially fairer definition of talent than a unidimensional indicator of cognitive ability, and a foundation for the design of learning and decision environments around learner and user profiles.

Although models have been published in the literature covering various aspects of the job performance domain (e.g., technical performance, contextual performance), researchers have recently recognized a void in these models and have called for their expansion to include adaptive performance components (Campbell, 1999; Hesketh & Neal, 1999; London & Mone, 1999; Murphy & Jackson, 1999). Toward this end, Pulakos, Arad, Donovan, and Plamondon (2000) developed a taxonomy of adaptive job performance similar to the model of job performance developed by Campbell, McCloy, Oppler, and Sager (1993). This model contained eight dimensions of adaptive job performance. Pulakos et al. began their research with a review of various literatures on adaptability and identified six different aspects of adaptive performance. These are shown in Table 1, along with the research references from which they were derived. The diversity of substantive areas that are represented in the research articles cited in Table 1 is a testament to the perceived importance of adaptability across a number of behavioral disciplines. Although the idea that adaptive performance is multi-dimensional was reasonable based on the wide range of behaviors “adaptability” has encompassed in the literature (for example, adapting to organizational change, different cultures, different people, new technology), no published research prior to Pulakos et al. had systematically defined or empirically examined specific dimensions of adaptive job performance. Pulakos et al. conducted two studies to refine the six-dimension model of individual adaptive job performance derived from the literature. In Study 1, over 1,000 critical incidents from 21 different jobs were content analyzed, yielding an eight-dimension taxonomy of adaptive performance. That is, the critical incident analysis produced two additional adaptive performance dimensions that are shown at the bottom of Table 1.

Purpose – In recent decades, some sociologists have turned to evolutionary biology, neuroscience, and cognitive science to support, modify, and reconfigure existing social psychological theory. In this chapter, we build on this momentum by considering the relevance of current work in affective and cognitive neuroscience for understanding emotions and the self. Our principal aim is to enlarge the range of phenomena currently considered by sociologists who study emotion while showing how affective dynamics play an important role across most outcomes and processes of interest to social scientists.

Approach – We focus on the ways external social objects become essential to, and emotionally significant for, the self. To that end, we draw on ideas from phenomenology, pragmatism, classic symbolic interactionism, and dramaturgy. We show how basic affective systems graft on, build from, and extend current social psychological usages of emotions as well as the important sociological work being done on self, from both symbolic interactionist (SI) and identity theory (IT) perspectives. Finally, we turn to the promising directions in studying emotional biographies and various aspects related to embodiment.

Findings – Affective systems consist of brain networks whose connections deepen when activated, with interesting variations observable at the neural, individual, and social levels in which one or more system is more salient than others. Affective systems may come to saturate the construction and maintenance of an autobiography or collective biography, with consequences for self-projection, self-other attunement, and embodied action. In turning to embodiment, however, we consider aspects of cognitive neuroscience that can contribute to ongoing work in neurosociology building on symbolic interactionism.

Practical Implications – The focus on affective systems suggests new research agendas in leveraging emerging neurosociological methods in the laboratory, while pushing for novel, naturalistic observational strategies. The latter, in particular, may be key to deepening sociology's contributions to neuroscience, better positioned to bring the full disciplinary toolkit to bear on these questions.

Social Implications – In considering the embodied and projective aspects of the self, we show how work examining convergence and divergence between embodied and linguistic pathways opens up new insights into how the self develops or acquires behavioral repertoires. As such, this chapter points to the need for holistic approach to understanding the social actor and, thereby, how political, economic, historical, and cultural factors shape self as much as biogenetic and psychological.

Originality of the Chapter – Sociologists think of emotions as either dependent or intervening variables: (1) signaling identity or situational incongruence, (2) states to be managed, and (3) structural dimensions of superordinate–subordinate relationships. Our integration of the theory of affective systems emphasizes the causal primacy emotions have over other behavioral and cognitive functions, clarifying how they play into the construction and maintenance of self and social experience.

This chapter reframes the notion of teacher quality to encompass teacher qualities and teaching quality in the context of current demands on teacher and student learning. The chapter includes an exemplary case study of a program that depicts the kinds of qualities and practices that would be needed for effective teaching and learning in an era characterized by the need for higher-level skills and knowledge. The final section presents the implications for pre-service and in-service professional development to address the challenges the reconceptualization of teacher quality presents.