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Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

This study aims to investigate the impact of the macroeconomic environment on South African industrial sector returns.

Using standardized coefficients derived from time-series factor models, the authors quantify the impact of macroeconomic influences on industrial sector returns. The authors analyze the structure of the resultant residual correlation matrices to establish the level of factor omission and apply a factor analytic augmentation to arrive at a specification that is free of omitted common factors.

The authors find that global influences are the most important drivers of returns and that industrial sectors are highly integrated with the global economy. The authors show that specifications that comprise only macroeconomic factors and proxies for omitted factors in the form of residual market factors are likely to be underspecified. This study demonstrates that a factor analytic augmentation is an effective approach to ensuring an adequately specified model.

The findings have a number of implications that are of interest to investors, econometricians and researchers. While the study focusses on a single market, the South African stock market, as represented by the Johannesburg Stock Exchange (JSE), it is a highly developed and globally integrated market. In terms of market capitalization, it exceeds the Madrid Stock Exchange, the Taiwan Stock Exchange and the BM&F Bovespa. Yet, a limited number of studies investigate the macroeconomic drivers of the South African stock market.

Investors should be aware that while the South African domestic environment, especially political risk, has an impact on returns, global influences are the greatest determinants of returns. No industrial sectors are insulated from global influences and this limits the potential for diversification. This study suggests an alternative set of macroeconomic factors that may be used in further analysis and asset pricing studies. From an econometric perspective, this study demonstrates the usefulness of a factor analytic augmentation as a solution to factor omission in models that use macroeconomic factors to proxy for systematic influences that describe asset prices.

The contribution lies in providing insight into a large and well-developed yet understudied financial market, the South African stock market. This study considers a much broader set of macroeconomic factors than prior studies. A methodological contribution is made by estimating and interpreting standardized coefficients to discriminate between the impact of domestically and internationally driven factors. This study shows that should coefficients not be standardized, inferences relating to the relative importance of factors will differ. Finally, the authors unify an approach of using pre-specified factors with a factor analytic approach to address factor omission and to ensure a valid and readily interpretable specification.

On the theoretical level, this chapter examines the mechanisms through which cultural and financial capital affects educational outcomes in different institutional contexts. On the methodological level, the central question in this chapter is how to resolve concerns in comparative analyses of educational attainment, such as variations in enrolment rates and study program duration across institutional settings. On the empirical level, the chapter asks whether family background predicts educational attainment in similar ways in two diametrically opposed welfare states: the United States and Norway. Differences in dropout from higher education were compared using nationally representative longitudinal data from the United States and Norway and event history and multilevel modelling techniques. The chapter also makes use of the standardized sheaf coefficient to summarize central background variables for more direct comparison of effect sizes. The findings show that whereas parents’ education level has strikingly similar effects on students’ dropout probabilities in the two countries, the effect of parents’ income varies substantially according to the institutional context. The chapter concludes that in comparative analyses of inequality in education the value of different types of family resources must be understood in light of the concrete, practical constraints of the national institutional contexts.

This empirical investigation examines the causal relationship between public libraries, literacy level, and economic productivity measured by gross domestic product per capita using path analysis. It is hypothesized that public libraries along with school libraries contribute to countries' literacy levels which in turn contribute to economic productivity. Cross‐country data were gathered from a number of sources including the Statistical Abstract of the World and Unesco's Statistical Yearbook. The results show that the path coefficients of public libraries and literacy levels are statistically significant at the 0.05 and 0.0001 levels respectively, strongly confirming the hypothesis. This study demonstrates that public libraries contribute to economic productivity through their various literacy programs and argues that cutting financial support for public libraries as practiced by many municipal governments is a short‐sighted policy and will adversely affect economic productivity of countries in the long run.

Recent literature discusses the persistence of skewness and tail risk in hedge fund returns. The aim of this paper is to suggest an alternative skewness measure, Azzalini's skewness parameter delta, which is derived as the normalized shape parameter from the skew‐normal distribution. The paper seeks to analyze the characteristics of this skewness measure compared with other indicators of skewness and to employ it in some typical risk and performance measurements.

The paper first provides an overview of the skew‐normal distribution and its mathematical formulation. Then it presents some empirical estimations of the skew‐normal distribution for hedge fund returns and discusses the characteristics of using delta with respect to classical skewness coefficients. Finally, it illustrates how delta can be used in risk management and in a performance measurement context.

The results highlight the advantages of Azzalini's skewness parameter delta, especially with regard to its interpretation. Delta has a limpid financial interpretation as a skewness shock on normally distributed returns. The paper also derives some important characteristics of delta, including that it is more stable than other measures of skewness and inversely related to popular risk measures such as the value‐at‐risk (VaR) and the conditional value‐at‐risk (CVaR).

The contribution of the paper is to apply the skew‐normal distribution to a large sample of hedge fund returns. It also illustrates that using Azzalini's skewness parameter delta as a skewness measure has some advantages over classical skewness coefficients. The use of the skew‐normal and related distributions is a relatively new, but growing, field in finance and not much has been published on the topic. Skewness itself, however, has been the subject of a great deal of research. Therefore, the results contribute to three fields of research: skewed distributions, risk measurement, and hedge fund performance.

Over the last 40 years, K-12 education has seen a continuous and significant increase in the amount of mandated standardized testing. This rise in standardized testing has led many in the field to question the extent to which these tests are affecting students, teachers and schools. The purpose of this paper is to explore the results of a social studies standardized test, specifically, the Florida Civics End-of-Course assessment.

Researchers used population data for seventh grade students and aggregated countywide proficiency rates from 2013–2016 for comparative statistical measures. Descriptive statistics and regression analyses were utilized to identify emerging trends using mean proficiency percentages when accounting for race, gender and socioeconomic status.

Initial findings indicated disparity within each subgroup (R²=0.511 (2013–2014), 0.500 (2014–2015) and 0.456 (2015–2016)). Following an analysis of the results, the conclusion and implications discuss the influence of standardized testing in social studies education.

This is a large-scale project that has never been done.

This study aims to investigate the relationship between project management competency, job motivation and performance in people engaged in electronic commerce (e-commerce). A questionnaire was developed for e-commerce workers in various professional aspects including business strategy planning, content management and design, sales services, marketing business sales, host settings, analysis and management. A total of 299 valid questionnaires were retrieved. Multiple regression analysis was applied to the testing and analysis on important competences for project management and the factors influencing job performance.

In this study, the related indexes are measured mainly through appropriate questionnaire design and the questionnaires were mainly distributed among employees and managers of the e-commerce enterprises. Tables 5–1 provide the personal profiles of the e-commerce personnel. A total of 350 questionnaires were distributed and 320 questionnaires were returned. After the 320 questionnaires were sorted and categorized, 21 incompletely-filled and invalid questionnaires were excluded, for a total of 299 valid questionnaires that were returned. Based on the quantitative data obtained from the returned valid questionnaires, files were created and statistical analyzes were conducted by the computerized statistical software statistical product and service solutions 21. According to the research question and nature of this study, the present study mainly adopted statistical methods, including descriptive statistical analysis, reliability analysis, Pearson’s correlation analysis and regression analysis.

The results suggested that the project management competency of those engaged in e-commerce had a positive influence on their work performance. The capabilities in the management of integration, scope and procurement were significantly important factors identified in this study. In addition, the internal and external motivations of those engaged in e-commerce had a positive influence on work performance, and thus, facilitated their influence on the project management competency. The results and statistical analysis could be a reference in e-commerce-related business management and serve as the basis for evaluation of the training of project management competencies for those engaged in e-commerce and further improvements of human capitals and corporate competitive advantages.

This study used literature on project management competence and job performance as a foundation; previous studies argue that project management competence has a positive correlation with job performance. Empirical results reveal that among the e-commerce personnel, most dimensions of project management competence are significantly correlated with job performance. This study reveals that stakeholder management competence, the newly introduced 10th dimension of project management competence, is also significantly correlated with job performance. Therefore, study results reveal that project management competence has a significant positive correlation with job performance. In this study, the two constructs of internal motivation and external motivation in job motivation are introduced for use as disturbing factors. Empirical results reveal that internal motivation and external motivation have a significant positive disturbing effect with respect to the influence of cost management competence and human resource management competence on job performance. Hackman and Oldham (1975) contend that the jobs calling for a variety of skills can boost the job motivation of employees. Study results reveal that job motivation is of great importance to the influence of project management competence on job performance and can be used as the basis for improving job performance.

The relationship between seven dimensions of self‐perception and five dimensions of library anxiety was studied using canonical correlation analyses. Participants were 148 students enrolled in graduate‐level research methodology courses. The first canonical function revealed that students with the lowest level of self‐perception associated with perceived scholastic competence, perceived intellectual ability, perceived creativity, and perceived social acceptance tended to have the highest level of library anxiety related to affective barriers and comfort with the library. A comparison of the standardized and structure coefficients suggested that perceived self‐worth, barriers with staff, and mechanical barriers served as suppressor variables that assisted in the prediction of library anxiety. Implications of the findings are discussed.

This chapter combines quantitative studies of the connections between stressors and performance in accounting settings and identifies the mediators and moderators of stressors–performance relationships. Using meta-analyses and path analyses, this research compiles 72 studies to investigate the relationships of stressors with accountant and auditor performance. As hypothesized, bivariate meta-analyses results indicate that work-related stressors negatively affect performance, and burnout and stress are negatively related to performance, whereas motivation is positively related to performance. Moreover, a meta-analytical structural equation modeling indicates that role stressors have significant direct and indirect effects (through burnout and stress) on job performance. Accumulation of multiple samples through meta-analysis bolsters statistical power compared to single-sample studies and thus reveals the sign of residual direct effects of role stressors on job performance in accounting settings.

Project failure is the result of one or a combination of several causes of risk factors that are very important to identify for effective performance. This study aims to focus on studying the fundamental relationship between internal risk factors and the negative effect on oil and gas project success in Yemen using the partial least square structural equation modelling (PLS-SEM) method.

Data collection was carried out using a formal questionnaire survey of the oil field sector in Yemen by companies involved in mega-oil and gas construction projects. A hierarchical model for determining causative internal risk factors and their effects was developed and evaluated using SEM method by SmartPLS3 software technology.

The findings of analyzing model indicate that all categories have a significant effect on project success, while the most significant affected categories in the internal risk factors are project management factors, feasibility study-design and resources-material supply with a path coefficient value of 0.213, 0.197 and 0.186, respectively. Moreover, for the hypotheses test, the positive relationship means that all experimental hypotheses are accepted according to path coefficient value analysis. In addition, the internal risk factors research model shows the ranking of effects on project success starting with project stoppage (loading factor 0.841), cost overruns (loading factor 0.818), time overruns (loading factor 0.726) and project target failure with loading factor 0.539.

The research was limited to the oil and gas construction projects in Yemen.

Interpreting the relationship between internal risk factors and their impact on the success of construction projects in the oil and gas sector will assist project team and oil companies in developing risk response strategies and developing appropriate plans to mitigate the effects of risks, which is presented in this paper.

The paper explains the relationship between cause and effect of internal risk factors in oil and gas projects in Yemen, and is expected to be a guideline for the oil companies and future academic research in the risk management area.