A framework for the measurement and prediction of an individual scientist's performance

Quantitative bibliometric indicators are widely used to evaluate the performance of scientists. However, traditional indicators do not much rely on the analysis of the processes intended to measure and the practical goals of the measurement. In this study, I propose a simple framework to measure and predict an individual researcher's scientific performance that takes into account the main regularities of publication and citation processes and the requirements of practical tasks. Statistical properties of the new indicator - a scientist's personal impact rate - are illustrated by its application to a sample of Estonian researchers.Comment: 12 pages, 3 figure

A"research"database on infrastructure economic performance

The authors present an infrastructure database that was assembled from multiple sources. Its main purposes are: (1) to provide a snapshot of the sector as of the end of 2004; and (2) to facilitate quantitative analytical research on infrastructure. The paper includes definitions, source information, and the most recent data available for 37 performance indicators that proxy access, affordability, and quality of service. Additionally, the database includes a snapshot of 15 reform indicators across infrastructure sectors.Health Economics&Finance,Poverty Monitoring&Analysis,Governance Indicators,ICT Policy and Strategies,Scientific Research&Science Parks

S&T culture: a blooming dimension

In this paper we present an overview of available indicators and discuss new elements of analysis, qualitative and quantitative, drawn from the practices involved in the promotion of scientific culture. In this exercise, indicators for scientific culture and literacy were matched with a broad set of data covering S&T, social and economical aspects. For this purpose we have resorted to Eurobarometer data (2001) on the relationship of Europeans (EU15) with science and technology and current socio-economic indicators in the various Member States. Forty-six variables were grouped into sets of composite indicators, which represent eight major dimensions: scientific culture and literacy, Investment in education, Educational attainment, S&T activities, technology diffusion and innovation, economic performance and structure, social and institutional development, and access to information and culture. Cluster analysis grouped countries into four sets whose weaker and stronger aspects are discussed.info:eu-repo/semantics/publishedVersio

Algorithmic Allocation: Untangling Rival Considerations of Fairness in Research Management

Marketization and quantification have become ingrained in academia over the past few decades. The trust in numbers and incentives has led to a proliferation of devices that individualize, induce, benchmark, and rank academic performance. As an instantiation of that trend, this article focuses on the establishment and contestation of ‘algorithmic allocation’ at a Dutch university medical centre. Algorithmic allocation is a form of data-driven automated reasoning that enables university administrators to calculate the overall research budget of a department without engaging in a detailed qualitative assessment of the current content and future potential of its research activities. It consists of a range of quantitative performance indicators covering scientific publications, peer recognition, PhD supervision, and grant acquisition. Drawing on semi-structured interviews, focus groups, and document analysis, we contrast the attempt to build a rationale for algorithmic allocation—citing unfair advantage, competitive achievement, incentives, and exchange—with the attempt to challenge that rationale based on existing epistemic differences between departments. From the specifics of the case, we extrapolate to considerations of epistemic and market fairness that might equally be at stake in other attempts to govern the production of scientific knowledge in a quantitative and market-oriented way

Analysis Of KKGO Muncar Athlete Achievement Based on Physical Condition Level and Anthropometry

Achieving an optimal performance is one way for athletes to demonstrate the ability and quality of performance in a sport. Physical condition is the coverage of several indicators related to human physical abilities which directly contribute to the physical activity ability of an athlete. In addition, anthropometry is also a determining factor for the success of athletes in achieving an achievement. The purpose of this study was to determine and provide evidence in the form of scientific data from the results of research related to the physical condition and anthropometry levels of athletes, because these 2 indicators greatly influence the achievement of athletes. This type of research is descriptive quantitative, using a survey method with test and measurement instruments. The samples in this study were 10 volleyball athletes and 10 athletic athletes aged 9-12 years. The results of data analysis based on the results of the study indicate that the problem of minimal achievement of athletes in volleyball and athletics is due to the level of physical condition and anthropometry which are still less than ideal

UTILISATION OF BENCHMARKING TECHNIQUES FOR FUNDAMENTING DEVELOPMENT STRATEGIES IN THE MANUFACTURING INDUSTRY IN ROMANIA

Benchmarking is a method used to measure the products, services and processes in comparison to an entity recognized as a leader in terms of performance of its operations. Used in the years 1970-1980 in the strategic management of the company currently has proven to be increasingly useful in many areas, including in international analysis models. In the European Union benchmarking indicators are used especially in the digital economy and as perspective indicators for 2011-2015 (Eurostat, Database). In the introduction we present and define forms of benchmarking, as well as a number of specific terms, which contribute to a better understanding of the content of this scientific work. Time series are used to highlight advances in labor productivity in EU countries, and the analysis is particularized for two countries: Romania and Germany. Quantitative data were collected from the source Eurostat website. A comprehensive indicator at macroeconomic level is resource productivity, representing GDP in relation with domestic consumption of material (DCM). DCM measures the amount of materials used directly by an economy. It is presented in tabular form for all European Union countries and Switzerland, as evolving over a period of eight years. Benchmarking method is used to highlight some differences (gaps) between EU countries regarding productivity and particularly the one between Germany and Romania is highlighted, concerning the performance of manufacturing industries. It is expected that this gap will diminish. The gap was highlighted by relevant graphics and interpretations. The second part of the paper focuses on comparative analysis of factors productivity using the production function. We analyze labor and capital productivity and other factors that determine the level of production. For highlighting the contribution of the labour factor we used the number of hours worked, considering that it reflects the analyzed phenomenon more realistically. For highlighting the contribution of capital factor we used as an indicator the capital stock in euros, available for Germany in the Eurostat database, and for Romania in the Statistical Yearbook 2009, expressed in RON, as comparable prices and then converted into euros at the average rate calculated by the NBR . The results for the entire manufacturing industry represent the basis for further expansion of benchmarking to the main components of this industry, especially automobile building, transportation vechicules, furniture, clothing, leather chemical, etc.., providing a scientific basis to fundament the economic policies including commercial ones.benchmarking, labour productivity, resource productivity, capital productivity, sustainable development strategy

VALIDITAS DAN KEPRAKTISAN INSTRUMEN PENILAIAN KINERJA UNTUK MENGUKUR SCIENTIFIC THINKING SKILL SISWA SMA PADA ANALISIS KUANTITATIF PENENTUAN KADAR ASAM ASETAT

Penelitian ini bertujuan untuk mengembangkan rubrik instrumen penilaian kinerja untuk mengukur scientific thinking skill siswa SMA pada analisis kuantitatif penentuan kadar asam asetat yang memiliki validitas dan kepraktisan yang baik. Instrumen yang dikembangkan terdiri dari 10 indikator keterampilan, 42 aspek kinerja dan rubrik. Metode yang digunakan yaitu metode pengembangan dan validasi yang memodifikasi metode dari Adams & Wieman (2010). Terdapat dua langkah penelitian yaitu langkah pengembangan dan langkah validasi. Langkah pengembangan instrumen meliputi telaah kerangka acuan (framework) asesmen penilaian kinerja untuk mengukur scientific thinking skill, analisis kandungan scientific thinking skill pada materi titrasi asam basa, studi pendahuluan, pembuatan kisi – kisi dan draft instrumen penilaian kinerja untuk mengukur scientific thinking skill siswa SMA pada analisis kuantitatif penentuan kadar asam asetat. Langkah validasi dilakukan untuk menentukan validitas dan kepraktisan instrumen. Uji validitas dilakukan oleh 6 orang validator ahli yang terdiri dari 2 orang dosen asesmen pembelajaran kimia dan 4 orang dosen kimia analitik. Instrumen memiliki validitas yang baik dengan CVI = 0,870, sehingga 42 aspek kinerja dan rubrik dinyatakan valid. Nilai uji kepraktisan diperoleh melalui peer assessment oleh guru kimia terhadap instrumen yang dikembangkan. Peer assessment dilakukan oleh 65 orang guru kimia di Bandung Raya. Nilai uji kepraktisan instrumen sebesar 3,65 dengan kategori sangat praktis. Berdasarkan hasil analisis data dapat disimpulkan bahwa instrumen yang dikembangkan memenuhi syarat valid dan praktis. Kata Kunci: Penilaian kinerja, scientific thinking skill, validitas, kepraktisan. This study aims to develope performance assessment instruments rubric to measure the scientific thinking skills of high school students in quantitative analysis of determining levels of acetic acid that have good validity and practicality. The instrument developed consists of 10 skills indicators, 42 aspects of performance and a rubric. The method used is the development and validation which modifies the method of Adams & Wieman (2010). There are two research steps namely the development step and the validation step. The development step consists of review the framework of performance assessment to measure scientific thinking skills, analysis content of scientific thinking skills on acid-base titration, field study, making of a grid and draft performance assessment instruments to measure scientific thinking skills of high school students in quantitative analysis of determining levels of acetic acid. The validation step is carried out to determine the validity and practicality of the instrument. The validity test was carried out by 6 expert validators consisting of 2 chemistry learning assessment lecturers and 4 analitycal chemistry lecturers. The instrument has good validity with CVR = 1, so that the 42 aspects of performance and rubric are declared valid. The practicality test scores were obtained through a peer assessment by the chemistry teacher for the instruments developed. Peer Assessment was carried out by 65 Chemistry teachers in Bandung Raya. The practicality test value of the instrument is 3.65 with a practical category. Based on the results of data analysis, it can be concluded that the developed instruments meet valid and practical requirements. Keyword: Performance assessment, scientific thinking skill, validity, practicality

Integrated assessment of agricultural sustainability : the pros and cons of reductionism

In this paper I review a series of theoretical concepts that are relevant for the integrated assessment of agricultural sustainability but that are not generally included in the curriculum of the various scientific disciplines dealing with quantitative analysis of agriculture. I first illustrate with plain narratives and concrete examples that sustainability is an extremely complex issue requiring the simultaneous consideration of several aspects, which cannot be reduced into a single indicator of performance. Following, I justify this obvious need for multi-criteria analysis with theoretical concepts dealing with the epistemological predicament of complexity, starting from classic philosophical lessons to arrive to recent developments in complex system theory, in particular Rosen's theory of modelling relation which is essential to analyze the quality of any quantitative representation. The implications of these theoretical concepts are then illustrated with applications of multi-criteria analysis to the sustainability of agriculture. I wrap up by pointing out the crucial difference between "integrated assessment" and "integrated analysis". An integrated analysis is a set of indicators and analytical models generating an analytical output. An integrated assessment is much more than that. It is about finding an effective way to deal with three key issues: (i) legitimacy - how to handle the unavoidable existence of legitimate but contrasting points of view about different meanings given by social actors to the word "development"; (ii) pertinence - how to handle in a coherent way scientific analyses referring to different scales and dimensions; and (iii) credibility - how to handle the unavoidable existence of uncertainty and genuine ignorance, when dealing with the analysis of future scenarios