Generalized estimator of population mean by using conventional and non-conventional measures in the presence of measurement errors

In survey research, it is assumed that reported response by the individual is correct. However, given the issues of prestige bias, self-respect, respondent's reported data often produces estimated values which are highly deviated from the true values. This causes measurement error (ME) to be present in the sample estimates. In this article, the estimation of population mean in the presence of measurement error using information on a single auxiliary variable is studied. A generalized estimator of population mean is proposed. The class of estimators is obtained by using some conventional and non-conventional measures. Simulation and numerical study is also conducted to assess the performance of estimators in the presence and absence of measurement error.     

Estimation of finite population mean in stratified sampling using scrambled responses in the presence of measurement errors

This study focuses on the estimation of population mean of a sensitive variable in stratified random sampling based on randomized response technique (RRT) when the observations are contaminated by measurement errors (ME). A generalized estimator of population mean is proposed by using additively scrambled responses for the sensitive variable. The expressions for the bias and mean square error (MSE) of the proposed estimator are derived. The performance of the proposed estimator is evaluated both theoretically and empirically. Results are also applied to a real data set.     

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.     

Estimation of rare and clustered population variance in adaptive cluster sampling

Abstract

Many researchers used auxiliary information together with survey variable to improve the efficiency of population parameters like mean, variance, total and proportion. Ratio and regression estimation are the most commonly used methods that utilized auxiliary information in different ways to get the maximum benefits in the form of high precision of the estimators. Thompson first introduced the concept of Adaptive cluster sampling, which is an appropriate technique for collecting the samples from rare and clustered populations. In this article, a generalized exponential type estimator is proposed and its properties have been studied for the estimation of rare and highly clustered population variance using single auxiliary information. A numerical study is carried out on a real and artificial population to judge the performance of the proposed estimator over the competing estimators. It is shown that the proposed generalized exponential type estimator is more efficient than the adaptive and non adaptive estimators under conventional sampling design.     

The analysis of policy implementation models in higher education: the case study of Indonesia

This paper aims to analyse and understand the models of policy implementation in Indonesian state universities during the ongoing process of market-driven reforms and how academics respond to these models. The research undertaken was in the form of qualitative study using semi-structured interviews as instruments to collect data. Interviews were conducted with 30 academics in three state universities in Indonesia. The research demonstrated that policy implementation in Indonesian state universities takes largely a dialectical form which takes place both at macro and micro levels, suggesting a blended application of top-down and bottom-up approaches. The results of this study also confirmed that the interaction between policy and local systems plays an important role for the successful implementation of the policy. Indonesian academics perceived that each of these models has its strength and weaknesses particularly in relation to the aspect of collegiality. It is anticipated that the study will both contribute to a better understanding of the dynamics between governments as policy makers and academics as street level bureaucrats in the implementation of a policy, and offer guidance for policy makers in the formulation and enactment of relevant policies in higher education sectors both in Indonesia and other contexts implementing policy implementation.     

Religion,classification struggles,and the state’s exercise of symbolic power

Theory and Society - The capacity to classify social groups legally is a central characteristic of modern states. Social groups, however, often resist the classificatory schemas of the state. This...     

A model-based concordance-type index for evaluating the added predictive ability of novel risk factors and markers in the logistic regression models

ABSTRACT

The Concordance statistic (C-statistic) is commonly used to assess the predictive performance (discriminatory ability) of logistic regression model. Although there are several approaches for the C-statistic, their performance in quantifying the subsequent improvement in predictive accuracy due to inclusion of novel risk factors or biomarkers in the model has been extremely criticized in literature. This paper proposed a model-based concordance-type index, C_K, for use with logistic regression model. The C_K and its asymptotic sampling distribution is derived following Gonen and Heller's approach for Cox PH model for survival data but taking necessary modifications for use with binary data. Unlike the existing C-statistics for logistic model, it quantifies the concordance probability by taking the difference in the predicted risks between two subjects in a pair rather than ranking them and hence is able to quantify the equivalent incremental value from the new risk factor or marker. The simulation study revealed that the C_K performed well when the model parameters are correctly estimated for large sample and showed greater improvement in quantifying the additional predictive value from the new risk factor or marker than the existing C-statistics. Furthermore, the illustration using three datasets supports the findings from simulation study.     

From consumer to producer: motivations,internet use,and political consumerism

Our understanding of how political consumerism relates to broader civic engagement has been clouded by the myriad ways in which it has been conceptualized in the literature. In this study, we draw a distinction between the use of socially conscious consumption practices in everyday life and participation in organized boycotts and ‘buycotts.’ We argue that whether political consumerism is enacted as lifestyle politics or as contentious politics may depend, at least in part, on the motivations that underlie political consumerism and the way in which they orient behavior in the online environment. Results of a national survey of U.S. adults show that while both value-expressive and social-identification motivation facilitate comparable levels of content consumption, only the latter facilitates the more involved act of posting and sharing original content. Moreover, results show that while both uses of internet, in turn, facilitate lifestyle and contentious political consumerism, content production facilitates significantly greater levels of both. This was especially pronounced for contentious political consumerism. These findings suggest that content production may be an important vehicle for channeling motivations for political consumerism rooted in social-identification needs toward participation in more organized and collective modes of consumer action. Implications for understanding the potential political consumerism holds as a gateway to participation in conventional political activities are discussed.     

Interpersonal skills scale: Development and validation in urbanized sample of adolescents

Interpersonal skills play a vital role in the growth and development of adolescents. The current study explored the experience and manifestation of interpersonal skills in Pakistani adolescents. In phase I, using open‐ended phenomenological approach, key components of interpersonal skills were elicited from 32 adolescents (boys = 16; girls = 16) aged 11–19 years (M = 14.48; SD = 1.06). In phase II, Content Validity Index for items (I‐CVIs) and scale (S‐CVI) was established. In phase III, pilot testing was carried out on 21 adolescents (boys = 11; girls = 10). In Phase IV, a sample of 674 adolescents (boys = 47%; girls = 53%) aged 11–19 years (M = 14.88; SD = 1.33) were tested for psychometric properties of Interpersonal Skills Scale along with Social Intelligence Scale for Adolescents and Self‐Esteem Scale for Children. Exploratory Factor Analysis (n = 221) generated three factors of the Interpersonal Skills Scale social engagement, sociability, and social etiquettes. Confirmatory Factor Analysis (n = 453) also supported the three‐factor structure of the Interpersonal Skills Scale. Furthermore, the scale found to have high internal consistency, construct validity, discriminant validity, split‐half reliability, and test–retest reliability. The results are discussed in the light of factorial structure in the Pakistani cultural context.