Computer-Aided Business Model Design

There is a lack of dedicated tools for business model design at a strategic level. However, in today's economic world the need to be able to quickly reinvent a company's business model is essential to stay competitive. This research focused on identifying the functionalities that are necessary in a computer-aided design (CAD) tool for the design of business models in a strategic context. Using design science research methodology a series of techniques and prototypes have been designed and evaluated to offer solutions to the problem. The work is a collection of articles which can be grouped into three parts: First establishing the context of how the Business Model Canvas (BMC) is used to design business models and explore the way in which CAD can contribute to the design activity. The second part extends on this by proposing new technics and tools which support elicitation, evaluation (assessment) and evolution of business models design with CAD. This includes features such as multi-color tagging to easily connect elements, rules to validate coherence of business models and features that are adapted to the correct business model proficiency level of its users. A new way to describe and visualize multiple versions of a business model and thereby help in addressing the business model as a dynamic object was also researched. The third part explores extensions to the business model canvas such as an intermediary model which helps IT alignment by connecting business model and enterprise architecture. And a business model pattern for privacy in a mobile environment, using privacy as a key value proposition. The prototyped techniques and proposition for using CAD tools in business model modeling will allow commercial CAD developers to create tools that are better suited to the needs of practitioners.

Programa pacient expert en obesitat

Objectiu general: desenvolupament del Programa Pacient Expert en obesitat. Objectius específics: es basaran amb el compliment de la dieta i l’activitat física, les mesures fisiològiques, la capacitat d’autogestió i el grau de satisfacció. Metodologia: - Àmbit d’estudi: Atenció Primària en Salut. - Disseny: estudi quantitatiu de tipus assaig clínic aleatoritzat. - Participants: adults amb obesitat. - Obtenció de dades: per l’anàlisi de variància per mesures repetides, l’anàlisi del discurs i l’observació estructurada. Limitacions de l’estudi: possible buit de dades per la pèrdua de participants o per la falta de continuïtat d’aquests.

Pavement Thickness Design for Local Roads in Iowa, TR-586, 2010

Three pavement design software packages were compared with regards to how they were different in determining design input parameters and their influences on the pavement thickness. StreetPave designs the concrete pavement thickness based on the PCA method and the equivalent asphalt pavement thickness. The WinPAS software performs both concrete and asphalt pavements following the AASHTO 1993 design method. The APAI software designs asphalt pavements based on pre-mechanistic/empirical AASHTO methodology. First, the following four critical design input parameters were identified: traffic, subgrade strength, reliability, and design life. The sensitivity analysis of these four design input parameters were performed using three pavement design software packages to identify which input parameters require the most attention during pavement design. Based on the current pavement design procedures and sensitivity analysis results, a prototype pavement design and sensitivity analysis (PD&SA) software package was developed to retrieve the pavement thickness design value for a given condition and allow a user to perform a pavement design sensitivity analysis. The prototype PD&SA software is a computer program that stores pavement design results in database that is designed for the user to input design data from the variety of design programs and query design results for given conditions. The prototype Pavement Design and Sensitivity Analysis (PA&SA) software package was developed to demonstrate the concept of retrieving the pavement design results from the database for a design sensitivity analysis. This final report does not include the prototype software which will be validated and tested during the next phase.

Typing less common ovarian tumors: A training tool based on a pattern-based algorithm applied to a set of 20 virtual slides.

Context: Ovarian tumors (OT) typing is a competency expected from pathologists, with significant clinical implications. OT however come in numerous different types, some rather rare, with the consequence of few opportunities for practice in some departments. Aim: Our aim was to design a tool for pathologists to train in less common OT typing. Method and Results: Representative slides of 20 less common OT were scanned (Nano Zoomer Digital Hamamatsu®) and the diagnostic algorithm proposed by Young and Scully applied to each case (Young RH and Scully RE, Seminars in Diagnostic Pathology 2001, 18: 161-235) to include: recognition of morphological pattern(s); shortlisting of differential diagnosis; proposition of relevant immunohistochemical markers. The next steps of this project will be: evaluation of the tool in several post-graduate training centers in Europe and Québec; improvement of its design based on evaluation results; diffusion to a larger public. Discussion: In clinical medicine, solving many cases is recognized as of utmost importance for a novice to become an expert. This project relies on the virtual slides technology to provide pathologists with a learning tool aimed at increasing their skills in OT typing. After due evaluation, this model might be extended to other uncommon tumors.

Putkilinjan suunnittelu integroidussa simulointiympäristössä

Työn tavoitteena oli määritellä kirjallisuustutkimuksen ja suunnitteluesimerkin avulla vaatimuksia integroidulle simulointiympäristölle, joka sisältää simulointiohjelmien lisäksi prosessilaitteiden mitoitusohjelmia ja prosessilaite- ja mallitietokannan. Lisäksi pohdittiin simulointiympäristön tuomia etuja prosessissuunnitteluun. Esimerkkinä käytettiin yksinkertaista putkilinjaa. Ensin selvitettiin prosessisuunnittelun kulkua, menetelmiä, apuvälineitä ja ajankohtaisia teemoja kirjallisuuden perusteella. Prosessisuunnittelun menetelmistä keskityttiin yksityiskohtaisemmin prosessisimulointiin. Lisäksi etsittiin kirjallisuudesta esimerkkejä integroiduista suunnitteluympäristöistä. Kirjallisuusselvityksen perusteella määriteltiin yleisiä vaatimuksia integroidulle simulointiympäristölle. Seuraavaksi suunniteltiin esimerkkinä käytetty putkilinja ja kuvattiin suunnittelun eteneminen. Suunnitteluesimerkin avulla pyrittiin tunnistamaan suunnitteluprosessista ne kohdat, joissa integroitu simulointiympäristö helpottaisi työskentelyä sekä pohtimaan yksityiskohtaisemmin integroidun simulointiympäristön toimintoja. Lopuksi kuvattiin putkilinjan suunnittelun eteneminen integroidussa simulointiympäristössä ja pohdittiin sen etuja verrattuna perinteiseen putkilinjan suunnitteluun. Tutkimuksen perusteella integroitu simulointiympäristö tehostaa prosessisuunnittelua siten, että simulointimallien määrittelyissä tarvittavat laitetiedot ovat saatavissa helposti ja nopeasti ohjelmien ymmärtämässä muodossa. Simulointiympäristössä tieto eri sovellusten välillä siirtyy osittain automaattisesti, minkä takia ohjelmiin ei erikseen tarvitse syöttää samoja tietoja. Lisäksi integroitu simulointiympäristö tukee rinnakkaista suunnittelua ja automaatio- ja prosessisuunnittelun integrointia.Jatkotutkimusehdotuksena on lisäselvitykset siitä, miten simulointiympäristö sijoittuisi yrityksissä jo olemassa oleviin suunnittelujärjestelmiin, etenkin tiedonhallintajärjestelmiin nähden. Muina jatkotutkimusehdotuksina on integroidun simulointiympäristön tarkasteleminen automaatiosuunnittelijan kannalta sekä vaatimusmäärittelyjen tarkentaminen. Työssä ei juuri ole kiinnitetty huomiota siihen, kuinka helposti ehdotetut simulointiympäristön toiminnot ja vaatimukset ovat toteutettavissa teknisesti tai ylipäätään ovatko toteutettavissa, joten tämäkin vaatinee jatkotutkimuksia.

A pesquisa em Ensino de Química como área estratégica para o desenvolvimento da Química

This paper presents an overview of the development of chemical education as a research area and some of its contributions to society. Although science education is a relatively recent area of research, it went through an expressive development in the last decades. As in the whole world, in Brazil also such development is attested by the expressive number of scientific societies, specialized journals, and meetings with growing attendance in the areas of science education in general and chemical education in particular. Following are the main contributions of research in science education related to chemistry teaching: adoption of teaching-learning principles in chemistry education; contextualization of chemical knowledge; interdisciplinary approach to chemistry teaching; use of the history of science for the definition of contents and for the design of curricula and teaching tools; development of specific disciplines for the initial and in-service training of chemistry teachers; publication of innovative chemistry textbooks by university-based research groups; elaboration of official guidelines for high-school level; and evaluation of chemistry textbooks to be distributed to high-school students by the Brazilian government. In spite of a positive impact of such initiatives, science education in Brazil still faces many problems, as indicated by poor results in international evaluations (such as the Program for International Student Assessment). However, changes in such a scenario depend less on the research in chemical education than on the much-needed governmental initiatives aiming at the improvement of both attractiveness of teaching career and structural conditions of public schools. In conclusion, new government investments in education are necessary for continuing the development of chemistry; moreover, scientific societies and decision makers in educational policies should take into consideration the contributions originated from the chemical education research area.

Statistical analysis of survey-based event history data with application to modeling of unemployment duration

Longitudinal surveys are increasingly used to collect event history data on person-specific processes such as transitions between labour market states. Surveybased event history data pose a number of challenges for statistical analysis. These challenges include survey errors due to sampling, non-response, attrition and measurement. This study deals with non-response, attrition and measurement errors in event history data and the bias caused by them in event history analysis. The study also discusses some choices faced by a researcher using longitudinal survey data for event history analysis and demonstrates their effects. These choices include, whether a design-based or a model-based approach is taken, which subset of data to use and, if a design-based approach is taken, which weights to use. The study takes advantage of the possibility to use combined longitudinal survey register data. The Finnish subset of European Community Household Panel (FI ECHP) survey for waves 1–5 were linked at person-level with longitudinal register data. Unemployment spells were used as study variables of interest. Lastly, a simulation study was conducted in order to assess the statistical properties of the Inverse Probability of Censoring Weighting (IPCW) method in a survey data context. The study shows how combined longitudinal survey register data can be used to analyse and compare the non-response and attrition processes, test the missingness mechanism type and estimate the size of bias due to non-response and attrition. In our empirical analysis, initial non-response turned out to be a more important source of bias than attrition. Reported unemployment spells were subject to seam effects, omissions, and, to a lesser extent, overreporting. The use of proxy interviews tended to cause spell omissions. An often-ignored phenomenon classification error in reported spell outcomes, was also found in the data. Neither the Missing At Random (MAR) assumption about non-response and attrition mechanisms, nor the classical assumptions about measurement errors, turned out to be valid. Both measurement errors in spell durations and spell outcomes were found to cause bias in estimates from event history models. Low measurement accuracy affected the estimates of baseline hazard most. The design-based estimates based on data from respondents to all waves of interest and weighted by the last wave weights displayed the largest bias. Using all the available data, including the spells by attriters until the time of attrition, helped to reduce attrition bias. Lastly, the simulation study showed that the IPCW correction to design weights reduces bias due to dependent censoring in design-based Kaplan-Meier and Cox proportional hazard model estimators. The study discusses implications of the results for survey organisations collecting event history data, researchers using surveys for event history analysis, and researchers who develop methods to correct for non-sampling biases in event history data.

On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

A Business continuity management maturity model : the search for an ISO 22301 Compliant BCM Maturity model

BCM (business continuity Management) is a holistic management process aiming at ensuring business continuity and building organizational resilience. Maturity models offer organizations a tool for evaluating their current maturity in a certain process. In the recent years BCM has been subject to international ISO standardization, while the interest of organizations to bechmark their state of BCM agains standards and the use of maturity models for these asessments has increased. However, although new standards have been introduced, very little attention has been paid to reviewing the existing BCM maturity models in research - especially in the light of the new ISO 22301 standard for BCM. In this thesis the existing BCM maturily models are carefully evaluated to determine whetherthey could be improved. In order to accomplish this, the compliance of the existing models to the ISO 22301 standard is measured and a framework for assessing a maturitymodel´s quality is defined. After carefully evaluating the existing frameworks for maturity model development and evaluation, an approach suggested by Becker et al. (2009) was chosen as the basis for the research. An additionto the procedural model a set of seven research guidelines proposed by the same authors was applied, drawing on the design-science research guidelines as suggested by Hevner et al. (2004). Furthermore, the existing models´ form and function was evaluated to address their usability. Based on the evaluation of the existing BCM maturity models, the existing models were found to have shortcomings in each dimension of the evaluation. Utilizing the best of the existing models, a draft version for an enhanced model was developed. This draft model was then iteratively developed by conducting six semi-structured interviews with BCM professionals in finland with the aim of validating and improving it. As a Result, a final version of the enhanced BCM maturity model was developed, conforming to the seven key clauses in the ISO 22301 standard and the maturity model development guidelines suggested by Becker et al. (2009).

Heterogeneous mass transfer in fluidized beds by computational fluid dynamics

The main objective of this research is to estimate and characterize heterogeneous mass transfer coefficients in bench- and pilot-scale fluidized bed processes by the means of computational fluid dynamics (CFD). A further objective is to benchmark the heterogeneous mass transfer coefficients predicted by fine-grid Eulerian CFD simulations against empirical data presented in the scientific literature. First, a fine-grid two-dimensional Eulerian CFD model with a solid and gas phase has been designed. The model is applied for transient two-dimensional simulations of char combustion in small-scale bubbling and turbulent fluidized beds. The same approach is used to simulate a novel fluidized bed energy conversion process developed for the carbon capture, chemical looping combustion operated with a gaseous fuel. In order to analyze the results of the CFD simulations, two one-dimensional fluidized bed models have been formulated. The single-phase and bubble-emulsion models were applied to derive the average gas-bed and interphase mass transfer coefficients, respectively. In the analysis, the effects of various fluidized bed operation parameters, such as fluidization, velocity, particle and bubble diameter, reactor size, and chemical kinetics, on the heterogeneous mass transfer coefficients in the lower fluidized bed are evaluated extensively. The analysis shows that the fine-grid Eulerian CFD model can predict the heterogeneous mass transfer coefficients quantitatively with acceptable accuracy. Qualitatively, the CFD-based research of fluidized bed process revealed several new scientific results, such as parametrical relationships. The huge variance of seven orders of magnitude within the bed Sherwood numbers presented in the literature could be explained by the change of controlling mechanisms in the overall heterogeneous mass transfer process with the varied process conditions. The research opens new process-specific insights into the reactive fluidized bed processes, such as a strong mass transfer control over heterogeneous reaction rate, a dominance of interphase mass transfer in the fine-particle fluidized beds and a strong chemical kinetic dependence of the average gas-bed mass transfer. The obtained mass transfer coefficients can be applied in fluidized bed models used for various engineering design, reactor scale-up and process research tasks, and they consequently provide an enhanced prediction accuracy of the performance of fluidized bed processes.

Designing new learning experiences? : exploring corporate E-learners’ self-regulated learning

The context of this study is corporate e-learning, with an explicit focus on how digital learning design can facilitate self-regulated learning (SRL). The field of e-learning is growing rapidly. An increasing number of corporations use digital technology and elearning for training their work force and customers. E-learning may offer economic benefits, as well as opportunities for interaction and communication that traditional teaching cannot provide. However, the evolving variety of digital learning contexts makes new demands on learners, requiring them to develop strategies to adapt and cope with novel learning tools. This study derives from the need to learn more about learning experiences in digital contexts in order to be able to design these properly for learning. The research question targets how the design of an e-learning course influences participants’ self-regulated learning actions and intentions. SRL involves learners’ ability to exercise agency in their learning. Micro-level SRL processes were targeted by exploring behaviour, cognition, and affect/motivation in relation to the design of the digital context. Two iterations of an e-learning course were tested on two groups of participants (N=17). However, the exploration of SRL extends beyond the educational design research perspective of comparing the effects of the changes to the course designs. The study was conducted in a laboratory with each participant individually. Multiple types of data were collected. However, the results presented in this thesis are based on screen observations (including eye tracking) and video-stimulated recall interviews. These data were integrated in order to achieve a broad perspective on SRL. The most essential change evident in the second course iteration was the addition of feedback during practice and the final test. Without feedback on actions there was an observable difference between those who were instruction-directed and those who were self-directed in manipulating the context and, thus, persisted whenever faced with problems. In the second course iteration, including the feedback, this kind of difference was not found. Feedback provided the tipping point for participants to regulate their learning by identifying their knowledge gaps and to explore the learning context in a targeted manner. Furthermore, the course content was consistently seen from a pragmatic perspective, which influenced the participants’ choice of actions, showing that real life relevance is an important need of corporate learners. This also relates to assessment and the consideration of its purpose in relation to participants’ work situation. The rigidity of the multiple choice questions, focusing on the memorisation of details, influenced the participants to adapt to an approach for surface learning. It also caused frustration in cases where the participants’ epistemic beliefs were incompatible with this kind of assessment style. Triggers of positive and negative emotions could be categorized into four levels: personal factors, instructional design of content, interface design of context, and technical solution. In summary, the key design choices for creating a positive learning experience involve feedback, flexibility, functionality, fun, and freedom. The design of the context impacts regulation of behaviour, cognition, as well as affect and motivation. The learners’ awareness of these areas of regulation in relation to learning in a specific context is their ability for design-based epistemic metareflection. I describe this metareflection as knowing how to manipulate the context behaviourally for maximum learning, being metacognitively aware of one’s learning process, and being aware of how emotions can be regulated to maintain volitional control of the learning situation. Attention needs to be paid to how the design of a digital learning context supports learners’ metareflective development as digital learners. Every digital context has its own affordances and constraints, which influence the possibilities for micro-level SRL processes. Empowering learners in developing their ability for design-based epistemic metareflection is, therefore, essential for building their digital literacy in relation to these affordances and constraints. It was evident that the implementation of e-learning in the workplace is not unproblematic and needs new ways of thinking about learning and how we create learning spaces. Digital contexts bring a new culture of learning that demands attitude change in how we value knowledge, measure it, define who owns it, and who creates it. Based on the results, I argue that digital solutions for corporate learning ought to be built as an integrated system that facilitates socio-cultural connectivism within the corporation. The focus needs to shift from designing static e-learning material to managing networks of social meaning negotiation as part of a holistic corporate learning ecology.

Health-related learning needs and interests of selected non-institutionalized elderly

The research question in this study was "How do the noninstitutionalized elderly in the Hamilton-Wentworth Region perceive their learning needs and interests related to health?" The theoretical foundations of instruction for adults were reviewed as well as learning needs and interests in adult education, the assessment of learning needs in general, and the assessment of the learning needs of the elderly. The methodology used was a descriptive design. A research-based questionnaire-interview was developed, refined, and pilot tested. From a random sampling procedure, a participant group of 23 was secured. The questionnaireinterview was administered in a home visit situation. Data, which were collected, were coded, analyzed, processed, and printed. The results indicated that each participant had many learning needs and interests of varying intensities. The participants had many preferences in the delivery of health promotion. The learning needs and interests had several significant correlations with other variables. The implications of the result~ were discussed.

Développement, mise à l'essai et évaluation d'une intervention de pratique réflexive avec des infirmières oeuvrant auprès de personnes âgées hospitalisées

Cette recherche visait à développer, mettre à l’essai et évaluer les effets d’une intervention de pratique réflexive (IPR) avec des infirmières œuvrant auprès d’aînés hospitalisés. Fondée sur la théorie du Human Caring de Watson (1979) et sur le modèle de réflexion structurée de Johns (2006), l’étude a été réalisée au moyen d’un devis mixte. Le développement et la mise à l’essai de l’IPR ont été réalisés au moyen d’une approche qualitative de type recherche-action. L’évaluation de l’intervention a été effectuée à l’aide d’une approche qualitative et d’une approche quantitative de type quasi-expérimental avec groupe de comparaison (GC). Au terme de l’IPR, les infirmières étaient invitées à décrire les retombées perçues de cette intervention, soit les habiletés et les savoirs infirmiers développés suite à une pratique réflexive (PR), ainsi que leur perception de la PR comme moyen d’amélioration de leur pratique professionnelle. De plus, comparativement à un GC, trois hypothèses étaient formulées : les infirmières du groupe expérimental (GE) ayant bénéficié d’une IPR amélioreraient significativement leurs attitudes et leurs connaissances à l’égard des aînés; identifieraient davantage d’interventions infirmières adaptées à la clientèle âgée hospitalisée, et obtiendraient un niveau de réflexion supérieur. L’étude a été effectuée auprès de 43 infirmières (GE = 22; GC = 21) travaillant dans un centre hospitalier universitaire. L’IPR s’est déroulée sur une période de 22 semaines. Elle comprenait huit ateliers thématiques d’une durée de 75 minutes chacun, dispensés aux trois semaines, combinés à des lectures et à des exercices individuels. L’IPR portait sur trois thèmes centraux du séjour hospitalier des aînés : la médication, la mobilisation et la planification du congé. Des données qualitatives et quantitatives ont été colligées par le biais de questionnaires ouverts (vignettes, écrit réflexif) et standardisés (Kogan’s Attitudes Toward Old People Scale, Palmore’s Facts on Aging Quiz) pré et post intervention pour les deux groupes. Les infirmières du GE ont également complété un questionnaire sur l’expérience de la PR et certaines d’entre elles ont participé à des groupes de discussion focalisée. Une analyse de contenu thématique, selon l’approche de Miles et Huberman (2003), a été réalisée sur les données qualitatives, alors que des tests de classement de Wilcoxon ont été effectués sur les données quantitatives. Les résultats soulignent que les infirmières ont développé différentes habiletés nécessaires à une PR telles que l’introspection, l’ouverture aux autres et l’analyse critique. Les participantes reconnaissent que l’IPR leur a notamment permis de développer des savoirs empirique, éthique, esthétique, personnel et émancipatoire. De plus, elles perçoivent que l’IPR est un moyen d’amélioration de la pratique professionnelle puisqu’elle peut, entre autres, contrer la routinisation des soins. Par ailleurs, comparativement au GC, les infirmières du GE ont amélioré significativement leurs attitudes et leurs connaissances à l’égard des aînés. Cependant, aucune différence significative entre le GE et le GC n’a été révélée suite à l’IPR quant au nombre d’interventions adaptées aux situations vécues par les aînés hospitalisés et au niveau de réflexion atteint. Les hypothèses de recherche ont ainsi été partiellement soutenues. Cette étude démontre le potentiel d’une IPR comme approche de développement professionnel novateur qui valorise l’expérience des infirmières, tout en leur permettant de modifier positivement leurs attitudes à l’égard des aînés et d’ajuster leurs connaissances aux besoins de cette clientèle hautement fragile et vulnérable.

Labour, industries and the politics of immigration

Cette thèse par articles examine les causes et conséquences économiques des politiques d'immigration du point de vue des pays receveurs. Je soutiens que les politiques d'immigration affectent la composition industrielle, et que l'immigration non-qualifiée a ralenti le développement des secteurs haute-technologie dans les pays de l'OCDE au cours des dernières décennies. Néanmoins, les gouvernements élus ont des incitatifs à accroître les niveaux d'immigration et à admettre des immigrants non-qualifiés, afin de conserver l'appui du secteur privé, et de façon à éviter les réactions négatives qui résulteraient de l'affaiblissement des industries traditionnelles. Le premier article s'appuie sur un modèle de progrès technologique endogène et soutient que les activités de recherche des entreprises croissent avec l'offre relative en travail qualifié, et se contractent avec l'offre relative en travail non-qualifié. À l'aide de données panel sur les pays de l'OCDE entre 1971 et 2003, j'estime l'élasticité des dépenses en R&D par rapport à l'offre relative de facteurs au moyen d'un modèle OLS dynamique (DOLS). Les résultats sont conséquents avec les propositions théoriques, et je démontre que l'immigration non-qualifiée a ralenti l'intensité des investissements privés en R&D. Le deuxième article examine la réponse des gouvernements fédéraux canadiens au lobbying des entreprises sur l'enjeu de l'immigration, à l'aide de données trimestrielles entre 1996 et 2011. J'argue que les gouvernements ont des incitatifs électoraux à accroître les niveaux d'immigration malgré les préférences restrictives du public sur cet enjeu, afin de s'assurer de l'appui des groupes d'intérêt corporatifs. Je teste cet argument à l'aide d'un modèle vectoriel autorégressif. Un résultat clé est la réponse positive des influx de travailleurs temporaires à l'intensité du lobbying des entreprises. Le troisième article soutient que les gouvernements ont des incitatifs à gérer la sélection des immigrants de façon à préserver la composition industrielle régionale. Je teste cet argument avec des données panel sur les provinces canadiennes entre 2001 et 2010, et un devis de recherche basé sur l'approche des doubles moindres carrés (two-stage least squares). Les résultats tendent à appuyer l'argument principal : les provinces dont l'économie repose davantage sur des industries traditionnelles sont susceptibles de recevoir une plus grande proportion d'immigrants non-qualifiés, ce qui contribue à renforcer cette spécialisation.

The agreement between ipsative and normative questionnaires using compositional data analysis techniques

The main instrument used in psychological measurement is the self-report questionnaire. One of its major drawbacks however is its susceptibility to response biases. A known strategy to control these biases has been the use of so-called ipsative items. Ipsative items are items that require the respondent to make between-scale comparisons within each item. The selected option determines to which scale the weight of the answer is attributed. Consequently in questionnaires only consisting of ipsative items every respondent is allotted an equal amount, i.e. the total score, that each can distribute differently over the scales. Therefore this type of response format yields data that can be considered compositional from its inception. Methodological oriented psychologists have heavily criticized this type of item format, since the resulting data is also marked by the associated unfavourable statistical properties. Nevertheless, clinicians have kept using these questionnaires to their satisfaction. This investigation therefore aims to evaluate both positions and addresses the similarities and differences between the two data collection methods. The ultimate objective is to formulate a guideline when to use which type of item format. The comparison is based on data obtained with both an ipsative and normative version of three psychological questionnaires, which were administered to 502 first-year students in psychology according to a balanced within-subjects design. Previous research only compared the direct ipsative scale scores with the derived ipsative scale scores. The use of compositional data analysis techniques also enables one to compare derived normative score ratios with direct normative score ratios. The addition of the second comparison not only offers the advantage of a better-balanced research strategy. In principle it also allows for parametric testing in the evaluation