Construct Validity and Error Components of Survey Measures: A Structural Modeling Approach

Measurement errors can have profound effects on statisticalrelationships, and better information on the quality of measuresseems needed. This study uses a new technology—structuralmodeling of data from special supplements to regular surveys—togenerate estimates of construct validity, method effects (amajor source of correlated error), and residual error (mainlyrandom error) for a broad set of measures obtained from fivenational surveys and an organizational survey (total respondents= 7,706). Analysis of these estimates suggested that a typicalsurvey item, when administered by a respected survey organizationto a general population sample, can be expected to yield 50–83percent valid variance, 0–7 percent method effects variance,and 14–48 percent residual variance. Multivariate analysisshowed that over two-thirds of the variation in measurementquality could be explained by 13 survey design characteristics;characteristics of respondents explained a small additionalportion. Results provide: (a) information on design conditionsassociated with better (or worse) measurement quality, (b) empiricallybased suggestions for improving measurement quality in futuresurveys, and (c) a set of coefficients for predicting the qualityof measures not studied here.     

SKILL AS A DIMENSION OF OCCUPATIONAL CLASSIFICATION

L'habilité est présentée comme une dimension qui règle les catégories sommaires d'une classification socioéconomique des professions, qui a été développée pour l'Etude sur la Mobilité des Canadiens. Cette analyse repose sur les valeurs ged et svp qui reflètent, respectivement, les différents niveaux d'éducation générale et d'apprentissage professionnel spécial requis pour les professions qui constituent chacune des catégories de l'emc. La classification des catégories de l'emc est reliée largement aux classifications basées sur les valeurs moyennes ged et svp. L'analyse des variations dans les valeurs ged et svp, entre et parmi les catkgories de I'emc, rCvkle que la plupart des catCgories sont homogenes, en ce qui conceme I'habileté. L'homogénéite, cependant, varie positivement suivant le niveau d'habileté. Le chercheur qui se concentre sur l'habileté comme dimension saillante de la variabilité entre les professions trouvent utile la classification de l'emc.
Skill is shown to be a dimension which orders the broad categories of a socioeconomic classification of occupations developed for the Canadian Mobility Study. The analysis is based on ged and svp values which, respectively, reflect different levels of general education and special vocational training required of the component occupations of each cms category. The cms ordering of the categories is highly correlated with orders based on average ged and svp values. Analysis of variation in ged and svp values between and within cms categories reveals that most categories are homogeneous with respect to skill. Homogeneity, however, varies positively with skill level. Researchers who focus on skill as a salient dimension of variability among occupations will find the cms classification useful.     

Brother correlations in earnings in Denmark, Finland, Norway and Sweden compared to the United States

The correlation in economic status among siblings is a useful “omnibus measure” of the overall impact of family and community factors on adult economic status. In this study we compare brother correlations in long-run (permanent) earnings between the United States, on one hand, and the Nordic countries (Denmark, Finland, Norway and Sweden) on the other. Our base case results, based on very similar sample criteria and definitions for all countries, show that this correlation is above 0.40 in the United States and in the range 0.14–0.26 in the Nordic countries. Even though these results turn out to be somewhat sensitive to some assumptions that have to be made, we conclude that the family and community factors are more important determinants of long-run earnings in the United States than in the Nordic countries. Received: 27 July 2000/Accepted: 7 March 2001 All correspondence to: Anders Bj?rklund. Comments from two referees, conference participants at ESPE2000 and the Canadian Employment Research Forum, seminar participants in Aarhus, Uppsala, Bonn, and Stockholm are gratefully acknowledged. We thank NOS-S for financial support. The Swedish data collection was also supported by HSFR and SFR. The Finnish data were obtained with support from the Yrj? Jahnsson Foundation. We thank Tom Erik Aab? for preparing the Norwegian data, and Esben Agerbo for computational assistance with the Danish data. Responsible editor: John F. Ermisch.     

Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence

This article proposes a new likelihood-based panel cointegration rank test which extends the test of Örsal and Droge (2014 Örsal, D. D. K., Droge, B. (2014). Panel cointegration testing in the presence of a time trend. Computational Statistics and Data Analysis 76:377–390.[Crossref], [Web of Science ®] , [Google Scholar]) (henceforth panel SL test) to dependent panels. The dependence is modelled by unobserved common factors which affect the variables in each cross-section through heterogeneous loadings. The data are defactored following the panel analysis of nonstationarity in idiosyncratic and common components (PANIC) approach of Bai and Ng (2004 Bai, J., Ng, S. (2004). A PANIC attack on unit roots and cointegration. Econometrica 72(4):1127–1177.[Crossref], [Web of Science ®] , [Google Scholar]) and the cointegrating rank of the defactored data is then tested by the panel SL test. A Monte Carlo study demonstrates that the proposed testing procedure has reasonable size and power properties in finite samples.     

An ant colony optimization approach for the proportionate multiprocessor open shop

Multiprocessor open shop makes a generalization to classical open shop by allowing parallel machines for the same task. Scheduling of this shop environment to minimize the makespan is a strongly NP-Hard problem. Despite its wide application areas in industry, the research in the field is still limited. In this paper, the proportionate case is considered where a task requires a fixed processing time independent of the job identity. A novel highly efficient solution representation is developed for the problem. An ant colony optimization model based on this representation is proposed with makespan minimization objective. It carries out a random exploration of the solution space and allows to search for good solution characteristics in a less time-consuming way. The algorithm performs full exploitation of search knowledge, and it successfully incorporates problem knowledge. To increase solution quality, a local exploration approach analogous to a local search, is further employed on the solution constructed. The proposed algorithm is tested over 100 benchmark instances from the literature. It outperforms the current state-of-the-art algorithm both in terms of solution quality and computational time.

     

Replenishing the pipeline: A quantitative approach to optimising the sourcing of new projects

Large pharmaceutical companies maintain a portfolio of assets, some of which are projects under development while others are on the market and generating revenue. The budget allocated to R&D may not always be sufficient to fund all the available projects for development. Much attention has been paid to the selection of optimal subsets of available projects to fit within the available budget. In this paper, we argue the need for a forward-looking approach to portfolio decision-making. We develop a quantitative model that allows the portfolio management to evaluate the need for future inflow of new projects to achieve revenue at desired levels, often aspiring to a certain annual revenue growth. Optimisation methods are developed for the presented model, allowing an optimal choice of number, timing and type of projects to be added to the portfolio. The proposed methodology allows for a proactive approach to portfolio management, prioritisation, and optimisation. It provides a quantitatively based support for strategic decisions regarding the efforts needed to secure the future development pipeline and revenue stream of the company.     

Feminization of refugee: Intersectionality,solidarity, resistance

This work aims to examine a possible change of feminist civil society pertaining to inclusivity with a particular interest in violence. It evaluates state-civil society relations, coping mechanisms with domestic violence and solidarity patterns with female refugees. It proposes a novel theoretical contribution, ‘feminization of refugee’ suggesting a positive shift in the empowerment of refugee women through bidirectional solidarity, intersectionality and resistance which consequently diversifies and invigorates the civil society itself. The findings suggest that the manifestation of a resistant civil society in Turkey inclined to withhold a strong feminist stance with a rights-based approach. The findings further manifest a growing need towards shelters in the pandemic experience which recalls capacity building requirements of civil society for refugee women against violence.     

A copula-based multivariate hidden Markov model for modelling momentum in football

AStA Advances in Statistical Analysis - We investigate the potential occurrence of change points—commonly referred to as “momentum shifts”—in the dynamics of football...