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pro vyhledávání: '"Anna DeCastellarnau"'
Autor:
Marta Gallina, Anna DeCastellarnau
Publikováno v:
Italian Political Science, Vol 14, Iss 3 (2020)
This article investigates the individual predictors of political knowledge by means of a test that takes into account both ‘traditional’ factors (i.e. education and interest) and media exposure. We argue that, as media level out the knowledge gap
Externí odkaz:
https://doaj.org/article/55a955b8a9854976b486d8c0d90be826
Autor:
Anna DeCastellarnau, Melanie Revilla
Publikováno v:
Survey Research Methods, Vol 11, Iss 4 (2017)
Little is known about the measurement quality of questions in web surveys, even if, this information is crucial to design better questionnaires and to correct for measurement errors in substantive analyses. This paper aims to cover this gap by answer
Externí odkaz:
https://doaj.org/article/a683bbd1ce84409984f7ee6463507aef
Autor:
Willem E. Saris, Anna DeCastellarnau
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 28:572-581
Although the approach to correct for measurement errors in research has been known since the early 1970s, most researchers in the social sciences appear to ignore these recommendations. One possibl...
Publikováno v:
Social Science Computer Review. 37:119-132
Little is known about the reliability and validity in web surveys, although this is crucial information to evaluate how accurate the results might be and/or to correct for measurement errors. In particular, there are few studies based on probability-
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 25:71-85
This article examines whether Bayesian estimation with minimally informed prior distributions can alleviate the estimation problems often encountered with fitting the true score multitrait–multimethod structural equation model with split-ballot dat
Autor:
Anna DeCastellarnau
Publikováno v:
Qualityquantity. 52(4)
Quite a lot of research is available on the relationships between survey response scales’ characteristics and the quality of responses. However, it is often difficult to extract practical rules for questionnaire design from the wide and often mixed