982 resultados para reflective versus formative models


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Structured abstract Purpose: To deepen, in grocery retail context, the roles of consumer perceived value and consumer satisfaction, as antecedents’ dimensions of customer loyalty intentions. Design/Methodology/approach: Also employing a short version (12-items) of the original 19-item PERVAL scale of Sweeney & Soutar (2001), a structural equation modeling approach was applied to investigate statistical properties of the indirect influence on loyalty of a reflective second order customer perceived value model. The performance of three alternative estimation methods was compared through bootstrapping techniques. Findings: Results provided i) support for the use of the short form of the PERVAL scale in measuring consumer perceived value; ii) the influence of the four highly correlated independent latent predictors on satisfaction was well summarized by a higher-order reflective specification of consumer perceived value; iii) emotional and functional dimensions were determinants for the relationship with the retailer; iv) parameter’s bias with the three methods of estimation was only significant for bootstrap small sample sizes. Research limitations:/implications: Future research is needed to explore the use of the short form of the PERVAL scale in more homogeneous groups of consumers. Originality/value: Firstly, to indirectly explain customer loyalty mediated by customer satisfaction it was adopted a recent short form of PERVAL scale and a second order reflective conceptualization of value. Secondly, three alternative estimation methods were used and compared through bootstrapping and simulation procedures.

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Background: The COSMIN checklist (COnsensus-based Standards for the selection of health status Measurement INstruments) was developed in an international Delphi study to evaluate the methodological quality of studies on measurement properties of health-related patient reported outcomes (HR-PROs). In this paper, we explain our choices for the design requirements and preferred statistical methods for which no evidence is available in the literature or on which the Delphi panel members had substantial discussion. Methods: The issues described in this paper are a reflection of the Delphi process in which 43 panel members participated. Results: The topics discussed are internal consistency (relevance for reflective and formative models, and distinction with unidimensionality), content validity (judging relevance and comprehensiveness), hypotheses testing as an aspect of construct validity (specificity of hypotheses), criterion validity (relevance for PROs), and responsiveness (concept and relation to validity, and (in) appropriate measures).Conclusions: We expect that this paper will contribute to a better understanding of the rationale behind the items, thereby enhancing the acceptance and use of the COSMIN checklist.

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The use of the multiple indicators, multiple causes model to operationalize formative variables (the formative MIMIC model) is advocated in the methodological literature. Yet, contrary to popular belief, the formative MIMIC model does not provide a valid method of integrating formative variables into empirical studies and we recommend discarding it from formative models. Our arguments rest on the following observations. First, much formative variable literature appears to conceptualize a causal structure between the formative variable and its indicators which can be tested or estimated. We demonstrate that this assumption is illogical, that a formative variable is simply a researcher-defined composite of sub-dimensions, and that such tests and estimates are unnecessary. Second, despite this, researchers often use the formative MIMIC model as a means to include formative variables in their models and to estimate the magnitude of linkages between formative variables and their indicators. However, the formative MIMIC model cannot provide this information since it is simply a model in which a common factor is predicted by some exogenous variables—the model does not integrate within it a formative variable. Empirical results from such studies need reassessing, since their interpretation may lead to inaccurate theoretical insights and the development of untested recommendations to managers. Finally, the use of the formative MIMIC model can foster fuzzy conceptualizations of variables, particularly since it can erroneously encourage the view that a single focal variable is measured with formative and reflective indicators. We explain these interlinked arguments in more detail and provide a set of recommendations for researchers to consider when dealing with formative variables.

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Structural equation models (SEM) are commonly used to analyze the relationship between variables some of which may be latent, such as individual ``attitude'' to and ``behavior'' concerning specific issues. A number of difficulties arise when we want to compare a large number of groups, each with large sample size, and the manifest variables are distinctly non-normally distributed. Using an specific data set, we evaluate the appropriateness of the following alternative SEM approaches: multiple group versus MIMIC models, continuous versus ordinal variables estimation methods, and normal theory versus non-normal estimation methods. The approaches are applied to the ISSP-1993 Environmental data set, with the purpose of exploring variation in the mean level of variables of ``attitude'' to and ``behavior''concerning environmental issues and their mutual relationship across countries. Issues of both theoretical and practical relevance arise in the course of this application.

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En la literatura económica no se ha estudiado como la competencia entre las instituciones educativas afecta específicamente la escogencia de estándares educativos y el valor de matrícula. Usando un modelo teórico analizo como la competencia entre las instituciones educativas afectan la escogencia de estándares académicos, comparando la solución en competencia con la solución eficiente y la solución de monopolio. Los individuos son heterogéneos y se diferencian en su habilidad, las instituciones educativas compiten estableciendo en una primera etapa el estándar educativo, y en una segunda etapa el valor de matrícula. Una vez definidos los estándares y los valores de matrícula, estos son información pública, permitiendo a los individuos escoger entre ingresar o no a una institución educativa o a que institución educativa ingresar de acuerdo a la habilidad innata y al costo asociado al esfuerzo. En los resultados se muestra que el bienestar social aumenta cuando en la economía existe más de una institución educativa con estándares diferentes, y la solución de mercado, en monopolio o en competencia, obliga a los estudiantes a ejercer un mayor esfuerzo para alcanzar el título. Independiente a la relación de costos, el valor de matrícula es siempre mayor para la institución con estándar educativo más alto, y mayor en la solución de mercado. Cuando el costo unitario de la institución con estándar más alto es mayor o igual al costo de la institución con menor estándar, los estándares educativos escogidos por el planificador son mayores y el esfuerzo requerido por los individuos es menor respecto a la solución de mercado.

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This article applies FIMIX-PLS segmentation methodology to detect and explore unanticipated reactions to organisational strategy among stakeholder segments. For many large organisations today, the tendency to apply a “one-size-fits-all” strategy to members of a stakeholder population, commonly driven by a desire for simplicity, efficiency and fairness, may actually result in unanticipated consequences amongst specific subgroups within the target population. This study argues that it is critical for organisations to understand the varying and potentially harmful effects of strategic actions across differing, and previously unidentified, segments within a stakeholder population. The case of a European revenue service that currently focuses its strategic actions on building trust and compliant behaviour amongst taxpayers is used as the context for this study. FIMIX-PLS analysis is applied to a sample of 501 individual taxpayers, while a novel PLS-based approach for assessing measurement model invariance that can be applied to both reflective and formative measures is also introduced for the purpose of multi-group comparisons. The findings suggest that individual taxpayers can be split into two equal-sized segments with highly differentiated characteristics and reactions to organisational strategy and communications. Compliant behaviour in the first segment (n = 223), labelled “relationships centred on trust,” is mainly driven through positive service experiences and judgements of competence, while judgements of benevolence lead to the unanticipated reaction of increasing distrust among this group. Conversely, compliant behaviour in the second segment (n = 278), labelled “relationships centred on distrust,” is driven by the reduction of fear and scepticism towards the revenue service, which is achieved through signalling benevolence, reduced enforcement and the lower incidence of negative stories. In this segment, the use of enforcement has the unanticipated and counterproductive effect of ultimately reducing compliant behaviour.

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Nowadays the discussion about providing a quality education for all students is more and more recurrent, including for those who have special educational necessities. The discussion increases regarding that it is not enough to include these students in the regular school, but also to provide conditions of learning and development. This requirement implies changes in the educational system, as well as in the teachers‟ everyday; and these changes manifest themselves through the complexity of the functions which are assigned to the teachers and the school. The news that are generated from the perspective of the inclusive education asks for new formative models for teacher‟s performance, once he tries to (re)build knowledge, knowings and doings among troubles and conflicts as a way to decrease the impact caused by the necessary transformations. This research approached this context in order to understand the social representation about the inclusive education from teachers who work in the regular public school system in the Municipality of Cruzeiro do Sul, State of Acre. To approach the symbolic content, we elected the Multiple Classification Procedure (MCP) as the methodological approach. For that, it was necessary to apply the Technique of Free-Association of Words (TFAW) to 60 participants what provided data to the first step of the chosen methodological procedure. The criterion of choice of the participants took into account if they dealt with student who has special educational necessities and with public schools. Later, we applied MCP to 50 teachers from specialized course in inclusive education subgroup 01 and 30 teachers who has no specialized formation subgroup 02. The collected data from this step was examined through multidimensional and content analysis for a better understanding of their symbolic dimensions. The results from the multidimensional analysis showed that the subject inclusive education‟ for subgroup 01 involved the following facets: circulating discourses that meant the naming of the characteristics that teachers think indispensable to inclusive education; teachers in relation to the inclusive practice that was focused on the relation between teaching and included student, and repercussion to the student that showed the advantages that the inclusive education provided to the student who has special educational necessities. Subgroup 02 dealt with the following facets: characteristics of the included student that approached teachers‟ view on this student; negative aspects that regarded the naming of the obstacles in the achievement of inclusive education; and teacher‟s relations to the inclusive education that approach professional, affective, and formative elements. The content analysis revealed four categories: disagreeing concepts; conception of inclusive education; dimension of the teacher‟s inclusive doing, and difficulties and resistance to carry out the inclusion of a student who has special educational necessities in the regularschool. Both analyses multidimensional and content one showed that the constitution of elements in a social representation of inclusive education was a mixture formed by the characteristics of this sort of education and the school integration, materialized on the figure of the different‟ student. The representational field of the subject inclusive education‟ was associated to the social representation of the student who has special educational necessities, making clear the deficiency/ difference, and causing the difficulty of the teachers in achieving what they say about the phenomenon

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O artigo tem por tema a formação dos professores que atuam nos anos iniciais da educação básica, considerando-a como um jogo que assume diferentes configurações em função das relações estabelecidas entre seus jogadores. Essas relações são analisadas por meio de um esquema de triangulação, aqui denominado como triângulo da formação docente. Cada um dos três vértices desse triângulo é ocupado por agentes que, a partir de seus capitais específicos, localizam-se em lugares desiguais no campo da formação docente: os professores e as instâncias que os representam; as universidades, fundações e institutos de pesquisa, com seus especialistas; e o poder público, representado por secretarias de educação e outros órgãos administrativos. Relações privilegiadas entre dois vértices do triângulo da formação docente apontam para diferentes modelos formativos. Explorando esse triângulo como um recurso de análise, o artigo focaliza as configurações assumidas pelo jogo da formação docente na versão brasileira do movimento ora em curso de universitarização do magistério. Atenção especial é conferida ao lugar que os professores atuantes nos anos iniciais da educação básica ocupam nesse jogo, às relações que eles estabelecem com os demais jogadores e, também, às possibilidades que têm de subverter e alterar o jogo em andamento.

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The mental logic theory does not accept the disjunction introduction rule of standard propositional calculus as a natural schema of the human mind. In this way, the problem that I want to show in this paper is that, however, that theory does admit another much more complex schema in which the mentioned rule must be used as a previous step. So, I try to argue that this is a very important problem that the mental logic theory needs to solve, and claim that another rival theory, the mental models theory, does not have these difficulties.

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Las organizaciones y sus entornos son sistemas complejos. Tales sistemas son difíciles de comprender y predecir. Pese a ello, la predicción es una tarea fundamental para la gestión empresarial y para la toma de decisiones que implica siempre un riesgo. Los métodos clásicos de predicción (entre los cuales están: la regresión lineal, la Autoregresive Moving Average y el exponential smoothing) establecen supuestos como la linealidad, la estabilidad para ser matemática y computacionalmente tratables. Por diferentes medios, sin embargo, se han demostrado las limitaciones de tales métodos. Pues bien, en las últimas décadas nuevos métodos de predicción han surgido con el fin de abarcar la complejidad de los sistemas organizacionales y sus entornos, antes que evitarla. Entre ellos, los más promisorios son los métodos de predicción bio-inspirados (ej. redes neuronales, algoritmos genéticos /evolutivos y sistemas inmunes artificiales). Este artículo pretende establecer un estado situacional de las aplicaciones actuales y potenciales de los métodos bio-inspirados de predicción en la administración.

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Formative measurement has seen increasing acceptance in organizational research since the turn of the 21st Century. However, in more recent times, a number of criticisms of the formative approach have appeared. Such work argues that formatively-measured constructs are empirically ambiguous and thus flawed in a theory-testing context. The aim of the present paper is to examine the underpinnings of formative measurement theory in light of theories of causality and ontology in measurement in general. In doing so, a thesis is advanced which draws a distinction between reflective, formative, and causal theories of latent variables. This distinction is shown to be advantageous in that it clarifies the ontological status of each type of latent variable, and thus provides advice on appropriate conceptualization and application. The distinction also reconciles in part both recent supportive and critical perspectives on formative measurement. In light of this, advice is given on how most appropriately to model formative composites in theory-testing applications, placing the onus on the researcher to make clear their conceptualization and operationalisation.

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Cadogan and Lee (this issue) discuss the problems inherent in modeling formative latent variables as endogenous. In response to the commentaries by Rigdon (this issue) and Finn and Wang (this issue), the present article extends the discussion on formative measures. First, the article shows that regardless of whether statistical identification is achieved, researchers are unable to illuminate the nature of a formative latent variable. Second, the study clarifies issues regarding formative indicator weighting, highlighting that the weightings of formative components should be specified as part of the construct definition. Finally, the study shows that higher-order reflective constructs are invalid, highlights the damage their use can inflict on theory development and knowledge accumulation, and provides recommendations on a number of alternative models which should be used in their place (including the formative model). © 2012 Elsevier Inc.

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In this study, we concentrate on modelling gross primary productivity using two simple approaches to simulate canopy photosynthesis: "big leaf" and "sun/shade" models. Two approaches for calibration are used: scaling up of canopy photosynthetic parameters from the leaf to the canopy level and fitting canopy biochemistry to eddy covariance fluxes. Validation of the models is achieved by using eddy covariance data from the LBA site C14. Comparing the performance of both models we conclude that numerically (in terms of goodness of fit) and qualitatively, (in terms of residual response to different environmental variables) sun/shade does a better job. Compared to the sun/shade model, the big leaf model shows a lower goodness of fit and fails to respond to variations in the diffuse fraction, also having skewed responses to temperature and VPD. The separate treatment of sun and shade leaves in combination with the separation of the incoming light into direct beam and diffuse make sun/shade a strong modelling tool that catches more of the observed variability in canopy fluxes as measured by eddy covariance. In conclusion, the sun/shade approach is a relatively simple and effective tool for modelling photosynthetic carbon uptake that could be easily included in many terrestrial carbon models.