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digital. 2017-03-26T01:08:34ZHow was the activity? A visualization support for a case of location-based learning design
http://hdl.handle.net/10230/28309
How was the activity? A visualization support for a case of location-based learning design
Hernández Leo, Davinia; Melero Merino, Javier; Sun, Jing; Santos Rodríguez, Patrícia; Blat, Josep
Over the last few years the use of mobile technologies has brought the formulation of location-based
learning approaches shaping new or enhanced educational activities. Involving teachers in the design of
these activities is important because the designs need to be aligned with the requirements of the specific
educational settings. Yet, analysing the implementation of the activities with students is also critical, not
only for assessment purposes but also for enabling the identification of learning design elements that
should be revised and improved. This paper studies a case that applies visualizations to support students’ self-assessment and teachers’ inquiry of a mobile learning design. The design is a gamified location-based learning activity composed by geolocated questions and implemented with the “QuesTInSitu: The Game” mobile application. The activity was designed by 7 teachers and enacted by 81 secondary education students organized in a total of 23 groups. Log files, gathered from “QuesTInSitu: The Game”, provided the data for the visualizations, which represented relevant aspects of the group activity enactment (both time used to answer questions and to reach the geographical zone of the questions, scores obtained per zone, etc.). On the one hand, the visualizations were discussed with the teachers as a learning analytics tool potentially useful to consider when redesigning the activity, if needed. On the other hand, the study shows that the visualizations led students to make a better diagnose of their own activity performance.; This research has been partially funded by the Spanish Ministry of Economy and Competitiveness in the EEE Project (TIN2011-28308-C03-03).
2014-01-01T00:00:00ZCauses of generalized social trust: An innovative cross-national evaluation
http://hdl.handle.net/10230/28308
Causes of generalized social trust: An innovative cross-national evaluation
van der Veld, William M.; Saris, Willem E.
In this chapter we want to establish whether the 3-item scale to measure generalized social trust (GST) in the European Social Survey (ESS) can be meaningfully used in comparative research. If so, we also want to study the causes of GST cross-nationally; building upon the work by Delhey & Newton (2005). The standard procedure to assess the comparability of a survey measure is by means of measurement equivalence tests, a specific form of multi-group confirmatory factor analyses (MG-CFA). In general it is quite difficult to evaluate these models, i.e. it is not easy to decide when a model fits the data, how and where a model should be improved, and when the improvements are sufficient. In this chapter we introduce two innovations for testing measurement equivalence of survey measures. One innovation involves an alternative procedure to evaluate structural equation models (Saris, Satorra, and Van der Veld, 2009). This procedure is implemented in a software program called JRule which is developed to detect misspecifications in SEM models taking into account the power of the test. The other innovation concerns the separation of error components and the substantive components in the response, which makes it possible to test for measurement equivalence after correction for random and systematic measurement error. Applying these innovations in our study resulted in evidence that the 3-item measure for GST is scalar invariant in all 19 countries that we analyzed.
2009-01-01T00:00:00ZCan fit Indices be used to evaluate structural equation models?
http://hdl.handle.net/10230/28307
Can fit Indices be used to evaluate structural equation models?
Corten, Irmgard W.; Saris, Willem E.; Satorra, Albert
In recent years, many different fit indices have been formulated as an alternative for the standard likelihood ratio test (LRT) of Structural Equation Models (SEM). These fit indices were developed to solve specific problems associated with the LRT namely, sensitivity to sample size; the problem that no SEM will ever be an exact representation of reality; and the problem of deviation from the assumptions of the standard test. There is, however, oneproblem related to using the LRT that has been largely ignored by the developers of fit indices and this is the LRT’s varying sensitivity to the different characteristics of a model and different types of error. Because of this problem, it is impossible to use the LRT to test the fit of models with a fixed critical value. Since most new fit indices are functions of the fitting function or the test statistic itself, it was expected that the fit indices would have the same sensitivity problems as the LRT statistic. In the present paper, we confirm this by means of a Monte Carlo experiment. We also show that fit indices do not provide a simple instrument to test the fit of models. We conclude that the current practice of evaluating the fit of a model on the basis of the value of fit index and a general specified threshold is not justified.
2009-01-01T00:00:00ZEstrategias para aumentar la tasa de respuesta y sus resultados en la ESE en España
http://hdl.handle.net/10230/28306
Estrategias para aumentar la tasa de respuesta y sus resultados en la ESE en España
Riba i Romeva, Clara; Torcal, Mariano; Morales Diez de Ulzurrun, Laura
El análisis de los datos de la tercera ola de la Encuesta Social Europea en España y su comparación con los de las dos olas precedentes permiten descubrir los factores que más han incidido en la mejora de los resultados y cuál es el perfil de las personas sobre las que es más rentable concentrar los esfuerzos de localización y de conversión de negativas, siendo las localizaciones y las conversiones las que, en definitiva, han constituido la principal clave del éxito. El trabajo muestra que el aumento de la tasa de respuesta de la tercera ola con respecto de las dos olas precedentes fue debido esencialmente a un mayor y mejor control de los procesos de campo, a un incremento de los incentivos a los entrevistadores, y a un mayor esfuerzo de localización y conversión de negativas en horarios fuera de la jornada laboral habitual.; The longitudinal analysis of the contact form data of the third round of the ESS in Spain allows us to identify the most successful strategies in order to increase response rates in social and political surveys in Spain. The analysis of these data provides us with very useful information to estimate what are the likely gains in response rate due to the improvements of fieldwork design and supervision. More especially, we show in this paper that concentrating fieldwork efforts in locating and converting refusals with specific strategies such as a better controlling of interviewers, increasing incentives, and targeting respondents after the regular working hours and during weekends really pay off.
2009-01-01T00:00:00Z