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Constructing and evaluating behavioral science models is a complex process. Decisions must be made about which variables to include, which variables are related to each other, the functional forms of the relationships, and so on. The last 10 years have seen a substantial extension of the range of statistical tools available for use in the construction process. The progress in tool development has been accompanied by the publication of handbooks that introduce the methods in general terms (Arminger et al., 1995; Tinsley & Brown, 2000a). Each chapter in these handbooks cites a wide range of books and articles on specific analysis topics.

This paper introduces a behavioral framework to model residential relocation decision in island areas, at which the decision in question is influenced by the characteristics of island regions, policy variables related to accessibility measures, and housing prices at the proposed island area, as well as personal, household (HH), job, and latent characteristics of the decision makers.

The model framework corresponds to an integrated choice and latent variable (ICLV) setting where the discrete choice model includes latent variables that capture attitudes and perceptions of the decision makers. The latent variable model is composed of a group of structural equations describing the latent variables as a function of observable exogenous variables and a group of measurement equations, linking the latent variables to observable indicators.

An empirical study has been developed for the Greek Aegean island area. Data were collected from 900 HHs in Greece contacted via telephone. The HHs were presented hypothetical scenarios involving policy variables, where 2010 was the reference year. ICLV binary logit (BL) and mixed binary logit (MBL) relocation choice models were estimated sequentially. Findings suggest that MBL models are superior to BL models, while both the policy and the latent variables significantly affect the relocation decision and improve considerably the models' goodness of fit. Sample enumeration method is finally used to aggregate the results over the Greek population.

This study examines the effects of a firm’s corporate social responsibility (CSR) initiative on its employees’ organizational attachment and intent to leave. We propose that employees’ perceived authenticity of their firm’s CSR activity mediates the effects of a firm’s CSR initiative on employees’ attachment to the firm and intent to leave. We also hypothesize that employees understand the authenticity of their firm’s CSR initiative based on internal and external attribution mechanisms. We propose that internal attribution enhances authenticity, while external attribution reduces it.

We surveyed a sample of 450 employees from 38 Korean companies that were included in the 2009 Dow Jones Sustainability Index Korea (DJSI Korea). To test the theoretical model, we employed a linear structural equation modeling which allows the causal estimation of theoretical constructs after taking into account their measurement errors.

As predicted, internal attribution significantly increases employees’ perceptions of their firm’s CSR authenticity, whereas external attribution significantly reduces such perceptions. Employees’ perceptions of authenticity, in turn, increase their affective attachment and decrease their intent to leave. In addition, the effects of the two attribution mechanisms on organizational attachment and intent to leave were mediated by employees’ perceptions on authenticity.

Research on authenticity has been case studies or narrative ones. This is one of the first studies investigating the role of authentic management empirically.

We demonstrate that a firm’s CSR initiative is a double-edged sword. When employees perceive inauthenticity of their firm’s CSR initiative, the CSR initiative could be detrimental to employees’ attachment to the firm. This study calls attention to the importance of authentic management of CSR.

Informational transparency through social network services become the foundational reality to the contemporary management. To maintain competitive edge in this changing world, every stakeholder of a firm including managers, employees, customers, shareholders, government, and communities should collaborate and help each other live the principle of authenticity.

This research is apt to glean the underlying relationships between the perceived restorativeness (PR) and environmentally responsible behaviors (ERBs) transpiring in rice fields. The study site, the Xinkaiyuan Laotian District Cultural Landscape in Eastern Taiwan, has gained its popularity due to its romantic, idyllic setting as a rice field close to Pacific Ocean. The study deploys a questionnaire survey which collects 301 valid questionnaires. For the data analysis, it uses structural equation modeling to test study hypotheses. The study reveals that the compatibility dimension of PR has a significant effect on the general behavior and specific behavior of ERB. However, the other restorativeness dimensions entailing being away, fascination, and coherence show no significant effect. Thus, the ERB is mainly influenced by the respondent's compatibility rather than fascination toward a nature environment. In the concluding section, this study furnishes theoretical and practical implications along with suggestions for future research.

This paper proposes a methodology for incorporating psychometric data such as stated preferences and subjective ratings of service attributes in econometric consumer's discrete choice models. Econometric formulation of the general framework of the methodology is presented, followed by two practical submodels. The first submodel combines revealed preference (RP) and stated preference (SP) data to estimate discrete choice models. The second submodel combines a linear structural equation model with a discrete choice model to incorporate latent attributes into the choice model using attitudinal data as their indicators. Empirical case studies on travel mode choice analysis demonstrate the effectiveness and practicality of the methodology.

Mediating effects are often tested using hierarchical multiple regression (HMR) procedures. Typical of the HMR-based strategies is the very frequently cited and widely used procedure described by Baron and Kenny (1986). Unfortunately, there are several important problems with it. More specifically, as we demonstrate below, it: (a) is of virtually no value for buttressing claims of mediating effects for data from non-experimental research; (b) produces erroneous inferences about the existence of mediating effects for misspecified mediation models; and (c) is incapable of providing credible evidence of such effects in a large proportion of cases, even for properly specified mediation models. We detail a number of important implications of our analyses.

The primacy of teacher effects on student achievement has been well documented from a variety of methodological approaches within the field of education research. Governments across the globe have or will address educational equity, especially the education of the poor, by designing programs to attract, train, develop, retain, and study more effective teachers. In their Concept Note, the World Bank also raises “fundamental questions” that balance upon an understanding of the development and measurement of teacher effectiveness. These include question 1: “What are the most important challenges in the next decade for building knowledge and skills for life and work in different country contexts?” and question 3: “What educational results should the Bank be accountable for in the next ten years, and how would we measure these achievements?” In this chapter, we build upon the extensive research that suggests teacher effectiveness ought to be the primary goal of educational reform efforts across the globe. We highlight the complexity of measuring effectiveness, especially across countries and varied contexts for education. We argue that the ways in which effectiveness is measured will have a direct impact on the potential of any reform policy to positively influence the overall effectiveness of a teaching force and the achievement of its students.

“Multi-Level Issues in Organizational Behavior and Processes” is Volume 3 of Research in Multi-Level Issues, an annual series that provides an outlet for the discussion of multi-level problems and solutions across a variety of fields of study. Using a scientific debate format of a key scholarly essay followed by two commentaries and a rebuttal, we present, in this series, theoretical work, significant empirical studies, methodological developments, analytical techniques, and philosophical treatments to advance the field of multi-level studies, regardless of disciplinary perspective.