Search results

The purpose of this paper is to explore the underlying structure of employees' justice perceptions in the context of their organizations' performance appraisal practices.

Ten multi‐item scales were designed to measure the perceived fairness of performance appraisal practices. A nested confirmatory factor analysis of employee responses (n=188) compared the four justice dimensions (i.e. procedural, distributive, interpersonal, informational) to five plausible alternatives. Construct validity was demonstrated through a structural equation model of matched employee and supervisor responses (n=117).

The confirmatory factor analysis showed evidence of four distinct but highly correlated justice constructs. Results supported hypothesized relationships between procedural justice and helpful behaviors toward the organization via appraisal system satisfaction; distributive justice with appraisal satisfaction; and interpersonal and informational justice and helpful behaviors toward the supervisor via supervisor satisfaction.

This study underscores the importance of fostering perceptions of justice in the context of performance appraisal. The scales developed in this study could be used to isolate potential problems with an organization's performance appraisal practices. Originality/value – The paper integrates prior research concerning the positive effects of procedural, distributive, interpersonal, and informational justice on affective and behavioral responses towards performance appraisals.

The purpose of this paper is to examine the impact of the discrepancy between actual and desired weekly hours of work on employee absence.

The authors used a nationally representative, employer-employee matched sample of over 39,000 employees and applied zero-inflated Poisson regressions.

Work hours discrepancy has a significant impact on employee absence. This impact is different among employees who want to work more hours and those who want to work fewer hours.

This study provides new insights into the determinants of employee absence and the implications of constraining employees in their choice of weekly hours of work.

The study aims to explore the discrepancy between the subjective and objective debt burdens across various household socio-demographic and debt characteristics. Additionally, it seeks to establish an optimal debt service-to-income ratio (DSTI) threshold for identifying over-indebtedness.

This study utilized a sample of 1,004 respondents from a nationwide survey conducted among Polish indebted households. A discrepancy ratio (DR) measure was proposed to evaluate the divergence between subjective and objective over-indebtedness. Binary logistic regression was employed to estimate the probability of being subjectively and objectively over-indebted, as well as the discrepancy between the two measures of over-indebtedness. The study also employed numerical simulations to determine the optimal DSTI threshold for identifying over-indebted households in general and based on their socio-economic characteristics.

The study established a debt service-to-income ratio (DSTI) threshold of 20% to minimize the discrepancy between subjective and objective debt burden, which is lower than thresholds found in other studies aimed at identifying over-indebted households. Age, number of loans, self-perceived needs satisfaction and type of debt were identified as significant socio-economic and debt-related determinants of over-indebtedness. Household socio-economic and debt-related characteristics significantly influence the threshold for identifying over-indebtedness using DSTI. It can vary widely, ranging from as low as 11% for well-educated women with multiple loan commitments to 43.7% for young males with vocational education, high incomes and originating from households with four or more members.

The paper proposes a more comprehensive approach to debt burden analysis by introducing a new methodology for determining a debt service-to-income (DSTI) threshold that could serve as a measure of over-indebtedness based on the discrepancy between subjective and objective over-indebtedness. It also emphasizes the significance of socio-economic and debt-related factors in evaluating subjective and objective over-indebtedness.

Highly anisotropic zirconium is a material used in the cladding of nuclear fuel rods, ensuring containment of the radioactive material within. The complex material structure of anisotropic zirconium requires model developers to replicate not only the macro-scale stresses but also the meso-scale material behavior as the crystal structure evolves; leading to strongly coupled multi-scale plasticity models. Such strongly coupled models can be achieved through partitioned analysis techniques, which couple independently developed constituent models through an iterative exchange of inputs and outputs. Throughout this iterative process, biases, and uncertainties inherent within constituent model predictions are inevitably transferred between constituents either compensating for each other or accumulating during iterations. The paper aims to discuss these issues.

A finite element model at the macro-scale is coupled in an iterative manner with a meso-scale viscoplastic self-consistent model, where the former supplies the stress input and latter represents the changing material properties. The authors present a systematic framework for experiment-based validation taking advantage of both separate-effect experiments conducted within each constituent’s domain to calibrate the constituents in their respective scales and integral-effect experiments executed within the coupled domain to test the validity of the coupled system.

This framework developed is shown to improve predictive capability of a multi-scale plasticity model of highly anisotropic zirconium.

For multi-scale models to be implemented to support high-consequence decisions, such as the containment of radioactive material, this transfer of biases and uncertainties must be evaluated to ensure accuracy of the predictions of the coupled model. This framework takes advantage of the transparency of partitioned analysis to reduce the accumulation of errors and uncertainties.

It seems that assessment has almost always been a controversial issue when discussing students with learning disabilities. This chapter will first define learning disabilities with a discussion on the current federal definition, what a severe discrepancy is, the dimensions of a psychological processing disorder, and response to intervention. Then the focus will move toward assessment and how it impacts programming and placement for students with learning disabilities. Finally, the chapter will discuss monitoring daily performance. After reading this chapter the reader should have a better understanding of assessment and students with learning disabilities.

The disproportionate identification of learning disabilities among certain sociodemographic subgroups, typically groups who are already disadvantaged, is perceived as a persistent problem within the education system. The academic and social experiences of students who are misidentified with a learning disability may be severely restricted, while students with a learning disability who are never identified are less likely to receive the accommodations and modifications necessary to learn at their maximum potential. In addition to inconsistent definitions of and criteria for diagnosing students with learning disabilities that may result in misdiagnoses, it is feared that discrimination also plays a role. We use the Education Longitudinal Study (ELS) of 2002 to describe national patterns in learning disability identification by individual- and school-level characteristics. Our results indicate that sociodemographic characteristics are predictive of being identified with a learning disability. Whereas some conventional areas of disproportionality are confirmed (males and language minorities are more likely to be identified), differences in social class entirely account for black and Hispanic disproportionality. Discrepancy between the results of bivariate and multivariate analyses reaffirms the importance of employing sophisticated methodology in explorations of disproportionality.

This paper examines the implications of standard barter models of market equilibrium for financial security returns in New Zealand. The key question addressed is: does the ‘equity premium puzzle’ of Mehra and Prescott (1985) found in the U.S. also hold in ?ew Zealand? To examine the existence of the equity premium puzzle, quarterly financial security returns and consumption data are examined from 1965 to 1997 to calibrate parameters in the Consumption Based Asset Pricing Model. Unlike much of the existing international evidence, this paper corrects for durable goods consumption following the assumptions of the model that all consumption be consumed in a given period. Numerical analyses indicate that the class of models examined are unable to generate equity premia consistent with historical estimates of the equity premium in New Zealand. Due to small sample variability however, while this discrepancy is material in size, the result is not statistically significant.

The purpose of this study is to examine the nature of the relationship between emotional intelligence and materialism by exploring how subjective well-being mediates this link.

Data was collected from surveying 1,000 Lithuanians within random sampling, and structural equation modelling (SEM) techniques using SmartPLS were used to analyze the data.

The results show that emotional intelligence not only has a negative indirect effect on materialism but also a positive impact on both dimensions of subjective well-being (satisfaction with life and affect balance). In addition, the findings indicate that both satisfaction with life and affect balance predict a decrease in materialism. Finally, the SEM analyzes show that the path between emotional intelligence and materialism is partially mediated by both satisfaction with life and affect balance.

The results of this study expand the understanding to what extent and how emotional intelligence is able to assist in adjusting materialistic attitudes, which have become more prevalent with the respective growth of consumerism and consumer culture worldwide. In the light of unsustainable consumption patterns threatening the survival of humankind and nature, the opportunities that could reverse this trend are presented for marketers and policy makers. This study gives insight into the potential pathways for diminishing consumer materialism, which is considered detrimental to subjective well-being and mental health.

The relationship between emotional intelligence and subjective well-being has been well documented, as has the link between materialism and subjective well-being. However, the simultaneous examination of the relationship between emotional intelligence, subjective well-being and materialism is lacking. The current study adds to the understanding of materialism not only by examining the effect of under-researched antecedent such as emotional intelligence but also by explaining the underlying mechanism of subjective well-being by which emotional intelligence connects to materialism.

Misidentification of students with disabilities is a widely publicized aspect of the shortcomings of our special education programs. Many factors can contribute to misidentification. In the Congressional Research Service (CRS) Report for Congress (Apling, 2001), three issues were specifically identified as reasons for possible misidentification. “Misidentification can result from failing to identify those with disabilities, from identifying children with disabilities they do not have, and from delaying identifying children with disabilities” (p. 2). In addition to the aforementioned concerns, an overrepresentation of minorities in special education programs has been a focal point for critics of special education programs and eligibility criteria for decades (see Harry & Klinger, 2006). Biases in assessment often lay the foundation for overrepresentation of minorities. Others express serious concerns regarding misidentification due to a direct result of the referral (or lack of effective prereferral) and evaluation practices used in many states (Ysseldyke, Algozzine, Richey, & Graden, 1982). Last, misidentification due to the changing eligibility criteria and differences in eligibility criteria across states has been added to the concerns in the field of special education.

This paper aims to investigate the informativeness of rhetorical impression management patterns of CEO letters and examines whether these rhetorical features affect financial analysts’ forecasting behaviour.

The authors use textual analysis on a sample of 526 CEO letters of US firms and apply factor analysis on individual linguistic style measures to identify co-occurrence patterns of style features.

The authors identify three holistic style patterns (assertive acclaiming, cautious plausibility-based framing and logic-based rationalizing) and find that assertive rhetorical feature in CEO letters is negatively related with the dispersion of financial analysts’ earnings forecasts and positively associated with earnings forecast accuracy. CEOs’ use of a rationalizing rhetorical pattern tends to decrease the dispersion of financial analysts’ earnings, whereas a cautious plausibility-based rhetorical position is only marginally instrumental in getting more accurate earnings predictions.

Whilst impression management communication is often theorized as manipulative and void of real information content, the findings suggest that impression management serves both self-presentation and information-sharing purposes.

This paper elaborates on the co-occurrence of style characteristics in management communication and is a first attempt to validate the external ramifications of holistic style profiles of corporate narratives by focusing on an economic target audience.