Search results for "Multilevel data"

showing 2 items of 2 documents

Why people engage in supplemental work: The role of technology, response expectations, and communication persistence

2021

Supported by various collaboration technologies that allow communication from any place or time, employees increasingly engage in technology-assisted supplemental work (TASW). Challenges associated with managing work and non-work time have been further complicated by a global pandemic that has altered traditional work patterns and locations. To date studies applying a TASW framework have focused mainly on individual uses of technology or connectivity behaviors, and not considered the potential team and social pressures underlying these processes. This study provides clarity on the differences between technology use and TASW and sheds light on the drivers of TASW in a work environment charac…

Persistence (psychology)Organizational Behavior and Human Resource ManagementKnowledge managementvuorovaikutusSociology and Political ScienceTeam Structuretieto- ja viestintätekniikkateam structureContext (language use)sosiaaliset normityhteistyölaw.inventiontiimitlawviestintäkulttuurityöntekijätetätyöcommunication persistenceGeneral PsychologyApplied Psychologyviestintäresponse expectationsbusiness.industrytiimityöWork environmentMultilevel dataWork (electrical)technology-assisted supplemental workCLARITYcollaboration technologiesbusinessPsychologysosiaalinen kontrolliJournal of Organizational Behavior
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Building up adjusted indicators of students' evaluation of university courses using generalized item response models

2012

This article advances a proposal for building up adjusted composite indicators of the quality of university courses from students’ assessments. The flexible framework of Generalized Item Response Models is adopted here for controlling the sources of heterogeneity in the data structure that make evaluations across courses not directly comparable. Specifically, it allows us to: jointly model students’ ratings to the set of items which define the quality of university courses; explicitly consider the dimensionality of the items composing the evaluation form; evaluate and remove the effect of potential confounding factors which may affect students’ evaluation; model the intra-cluster variabilit…

Statistics and ProbabilityStructure (mathematical logic)Computer sciencemedia_common.quotation_subjectadjusted indicators explanatory item response models multidimensional latent traits multilevel models evaluation of university courses potential confounding factorsRegression analysisData structureAffect (psychology)Multilevel dataComputingMilieux_COMPUTERSANDEDUCATIONEconometricsMathematics educationQuality (business)Settore SECS-S/05 - Statistica SocialeStatistics Probability and UncertaintySet (psychology)Settore SECS-S/01 - Statisticamedia_commonCurse of dimensionality
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