Two-Stage Variables Acceptance Sampling Plans Using Process Loss Functions

In this article, a variable two-stage acceptance sampling plan is developed when the quality characteristic is evaluated through a process loss function. The plan parameters of the proposed plan are determined by using the two-point approach and tabulated according to various quality levels. Two cases are discussed when the process mean lies at the target value and when it does not, respectively. Extensive tables are provided for both cases and the results are explained with examples. The advantage of the proposed plan is compared with the existing variable single acceptance sampling plan using the process loss function.     

Reducing attitudes of prejudice and discrimination through literature: a quasi-experiment on the upper key-stage 2 students of the British schools in Karachi,Pakistan

This study aims to explore the efficacy of literature relating to Anne Frank to reduce children’s attitudes of prejudice and discrimination with respect to specific dimensions, including ethnicity and race, religion and gender. A quasi-experiment was employed with pre-post control design. The sample consisted of 100 students of the upper key-stage 2 (UKS2) level, recruited from the two British schools in Karachi. These schools represented an Experimental Group (EG) and a matched Comparison Group (CG). A research instrument titled ‘Muggles world of differences’ (MWD) was developed and validated. It was administered on CG and EG, both before and after intervention. The intervention plan ‘Reading of Young Anne’s Literature’ (ROYAL) was developed based on selected readings from Anne Frank related literature (AFL). Intervention was provided to EG, while CG studied similar concepts using a more standard method. Results of the pretest revealed a high level of prejudice and discrimination in both the EG and CG, with no significant difference (p > 0.05) in the overall scores, as well as in the specific content domains. However, the post-test of the two groups revealed that the students in the EG had outperformed their CG counterparts in overall MWD scores, as well as in specific content domains. The difference was found to be significant (p < 0.05) with the large effect size (r = ?0.63). Results support the efficacy of teaching Anne Frank related literature in reducing attitudes of prejudice and discrimination.     

IGLOO: An integrated framework for sustainable return to work in workers with common mental disorders

ABSTRACT

Current research on return to work (RTW) for employees with common mental disorders suffers from two limitations. First, research mostly focuses on the influence of resources during the absence period ignoring the resources which may facilitate sustainable RTW, i.e. employees continuing to work and thrive at work post-return. Second, research tends to view the work and non-work domains separately and fails to consider the interaction of resources at the individual, group, leader and organisational levels, once back at work. In the present position paper, we present an integrated framework and a preliminary definition of sustainable RTW. Based on current occupational health psychology theory and existing research on RTW, we develop ten propositions for the resources in and outside work, which may promote sustainable RTW. In addition to the individual, group, leader, and organisational levels, we also argue for the importance of the overarching context, i.e. the societal context and the culture and legislation that may promote sustainable RTW. Our framework raises new questions that need to be addressed to enhance our understanding of how key stakeholders can support employees with common mental health disorders staying and thriving at work.     

Inference under Heteroscedasticity of Unknown Form Using an Adaptive Estimator

The heteroscedasticity consistent covariance matrix estimators are commonly used for the testing of regression coefficients when error terms of regression model are heteroscedastic. These estimators are based on the residuals obtained from the method of ordinary least squares and this method yields inefficient estimators in the presence of heteroscedasticity. It is usual practice to use estimated weighted least squares method or some adaptive methods to find efficient estimates of the regression parameters when the form of heteroscedasticity is unknown. But HCCM estimators are seldom derived from such efficient estimators for testing purposes in the available literature. The current article addresses the same concern and presents the weighted versions of HCCM estimators. Our numerical work uncovers the performance of these estimators and their finite sample properties in terms of interval estimation and null rejection rate.     

Improved CUSUM charts for monitoring process mean

In this paper, we propose new cumulative sum (CUSUM) and Shewhart-CUSUM (SCUSUM) control charts for monitoring the process mean using ranked-set sampling (RSS) and ordered RSS (ORSS) schemes. The proposed CUSUM charts include the Crosier's CUSUM (CCUSUM) and Shewhart-CCUSUM (SCCUSUM) charts using RSS, and the CUSUM, CCUSUM, SCUSUM and SCCUSUM charts using ORSS. Moreover, fast initial response features are also attached with these CUSUM charts to improve their sensitivities for an initial out-of-control situation. Monte Carlo simulations are used to compute the run length characteristics of the proposed CUSUM charts. Upon comparing the run length performances of the CUSUM charts, it turns out that the proposed CUSUM charts are more sensitive than their existing counterparts. A real dataset is used to explain the implementation of the proposed CUSUM charts.     

New cumulative sum control charts for monitoring process variability

In this article, we propose new cumulative sum (CUSUM) control charts using the ordered ranked set sampling (RSS) and ordered double RSS schemes, with the perfect and imperfect rankings, for monitoring the variability of a normally distributed process. The run length characteristics of the proposed CUSUM charts are computed using the Monte Carlo simulations. The proposed CUSUM charts are compared in terms of the average and standard deviation of run lengths with their existing competitor CUSUM charts based on simple random sampling. It turns out that the proposed CUSUM charts with the perfect and imperfect rankings are more sensitive than the existing CUSUM charts based on the sample range and standard deviation. A similar trend is present when these CUSUM charts are compared with the fast initial response features. An example is also used to demonstrate the implementation and working of the proposed CUSUM charts.     

All I want for Christmas is recovery – changes in employee affective well-being before and after vacation

Abstract

Transformational leaders employ a visionary and creative style of leadership that inspires employees to make independent decisions and develop in their work. There is some evidence that the transformational (inspirational) leadership style is linked to employee burnout and stress. However, little research has focused on the psychological mechanisms that could explain this link, nor has there been a focus on positive affective well-being. We propose that transformational leaders influence their followers' self-efficacy, thereby affecting affective well-being in followers. This study extends previous work by examining the direct link between leadership and well-being both cross-sectionally (N=447) and longitudinally (N=188), and testing the mediating effects of self-efficacy. The study was carried out within parts of an elderly care department in a Danish local government. A theory-driven model of the relationships between leadership, self-efficacy and affective well-being was tested using Structural Equation Modelling. The results indicated that followers' self-ratings of self-efficacy mediated the relationship between transformational leadership style and positive affective well-being. Only limited evidence for a direct path between leadership behaviour and positive affective well-being was found. These findings have implications for how organizations may promote employee well-being, through interventions directed at supporting transformational leadership behaviours.     

Revisiting calendar effects in Malaysian finance stocks market: Evidence from threshold GARCH (TGARCH) model

Recent research reveals that calendar effects have largely disappeared from stock markets. However, majority of the past studies focus on stock markets at the aggregate level but do not provide firm-level evidence. Therefore, this study investigates day-of-the-week and month-of-the-year effects in Malaysian finance stocks market for the period 1/1/1997–31/12/2014. The empirical results from threshold GARCH (TGARCH) model suggest that certain daily and monthly seasonality effects are prevalent along with asymmetric news effect. The findings of study indicate inefficiency in the weak-form sense, implying that it is possible for investors to obtain the observed abnormal returns by using timing strategies.     

Circular Binary Block Second- and Higher-Order Neighbor Designs

Some new neighbor designs are presented here. Second-order neighbor designs for different configurations are generated in circular binary blocks. Third-order and fourth-order neighbor designs for some cases are also constructed. In all cases, circular blocks are well separated and these designs are obtained through initial block/s. At the end of the study, some models for analysis of these designs are also presented.