DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities

Detalhes bibliográficos
Autor(a) principal: Moreira Silva, Manuel
Data de Publicação: 2021
Outros Autores: Terra, Ana Lúcia, Tavares, Célia, Lopes, Cristina, Valente, Iolanda, Gonçalves, Maria José Angélico, Bernardes, Oscar
Tipo de documento: Outros
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.22/18948
Resumo: Methodology of the data preparation: 1. Data from each country survey was exported to IBM SPSS (using the syntax file provided by Limesurvey when exporting data to SPSS). 2. Qualitative variables Q00 and Q02 were automatically recorded into numerical form. 3. A binary variable “Completed” was created from the “submitdate”, using “recode into different variable” (Missing ->0, ELSE->1) to mark the complete answers from the incomplete 4. All string variables with Likert scales were transformed into numerical variables, using the “automatic recode” feature of IBM SPSS. Options ``Treat blank as user missing” and “Use same recording scheme” were activated. Then, all remaining codes for missing values or non-available data were coded with SYSMIS using “Recode into the same variable”. 5. The three questions S01c, L01c, and T02m had the scale of answers with an inverted logic. It was necessary to create new variables inverting the scale, using “Recode into different variables”. (1->5, 2->4, 4->2, 5->1, ELSE-> copy) 6. Measure of the numerical variables was corrected. 7. The labels of the questions were simplified (removing the answer options and non necessary text) 8. New variables for the constructs were computed using “Compute variable” with the mean of the variables that contribute to each construct in each group. (The syntax file “Data preparation.sps” can be used to automatize the procedure of data preparation. Just change the path in FILE=’…’ to your full directory path. The formulas for building the constructs are in lines 80-372.)
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spelling DIGITOOLS – Innovative tools for enhancing e-learning solutions in universitiesresultados do inquéritoDIGITOOLSE-Learning solutionsErasmus+ KA 226 Partnerships for Digital Education ReadinessResultados do inquéritoMethodology of the data preparation: 1. Data from each country survey was exported to IBM SPSS (using the syntax file provided by Limesurvey when exporting data to SPSS). 2. Qualitative variables Q00 and Q02 were automatically recorded into numerical form. 3. A binary variable “Completed” was created from the “submitdate”, using “recode into different variable” (Missing ->0, ELSE->1) to mark the complete answers from the incomplete 4. All string variables with Likert scales were transformed into numerical variables, using the “automatic recode” feature of IBM SPSS. Options ``Treat blank as user missing” and “Use same recording scheme” were activated. Then, all remaining codes for missing values or non-available data were coded with SYSMIS using “Recode into the same variable”. 5. The three questions S01c, L01c, and T02m had the scale of answers with an inverted logic. It was necessary to create new variables inverting the scale, using “Recode into different variables”. (1->5, 2->4, 4->2, 5->1, ELSE-> copy) 6. Measure of the numerical variables was corrected. 7. The labels of the questions were simplified (removing the answer options and non necessary text) 8. New variables for the constructs were computed using “Compute variable” with the mean of the variables that contribute to each construct in each group. (The syntax file “Data preparation.sps” can be used to automatize the procedure of data preparation. Just change the path in FILE=’…’ to your full directory path. The formulas for building the constructs are in lines 80-372.)Instituto Superior de Administração e Contabilidade do PortoREPOSITÓRIO P.PORTOMoreira Silva, ManuelTerra, Ana LúciaTavares, CéliaLopes, CristinaValente, IolandaGonçalves, Maria José AngélicoBernardes, Oscar2022-04-30T00:30:49Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/otherapplication/pdfhttp://hdl.handle.net/10400.22/18948enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T09:59:45Zoai:recipp.ipp.pt:10400.22/18948Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:24:45.885412Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
resultados do inquérito
title DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
spellingShingle DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
Moreira Silva, Manuel
DIGITOOLS
E-Learning solutions
Erasmus+ KA 226 Partnerships for Digital Education Readiness
Resultados do inquérito
title_short DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
title_full DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
title_fullStr DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
title_full_unstemmed DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
title_sort DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
author Moreira Silva, Manuel
author_facet Moreira Silva, Manuel
Terra, Ana Lúcia
Tavares, Célia
Lopes, Cristina
Valente, Iolanda
Gonçalves, Maria José Angélico
Bernardes, Oscar
author_role author
author2 Terra, Ana Lúcia
Tavares, Célia
Lopes, Cristina
Valente, Iolanda
Gonçalves, Maria José Angélico
Bernardes, Oscar
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Moreira Silva, Manuel
Terra, Ana Lúcia
Tavares, Célia
Lopes, Cristina
Valente, Iolanda
Gonçalves, Maria José Angélico
Bernardes, Oscar
dc.subject.por.fl_str_mv DIGITOOLS
E-Learning solutions
Erasmus+ KA 226 Partnerships for Digital Education Readiness
Resultados do inquérito
topic DIGITOOLS
E-Learning solutions
Erasmus+ KA 226 Partnerships for Digital Education Readiness
Resultados do inquérito
description Methodology of the data preparation: 1. Data from each country survey was exported to IBM SPSS (using the syntax file provided by Limesurvey when exporting data to SPSS). 2. Qualitative variables Q00 and Q02 were automatically recorded into numerical form. 3. A binary variable “Completed” was created from the “submitdate”, using “recode into different variable” (Missing ->0, ELSE->1) to mark the complete answers from the incomplete 4. All string variables with Likert scales were transformed into numerical variables, using the “automatic recode” feature of IBM SPSS. Options ``Treat blank as user missing” and “Use same recording scheme” were activated. Then, all remaining codes for missing values or non-available data were coded with SYSMIS using “Recode into the same variable”. 5. The three questions S01c, L01c, and T02m had the scale of answers with an inverted logic. It was necessary to create new variables inverting the scale, using “Recode into different variables”. (1->5, 2->4, 4->2, 5->1, ELSE-> copy) 6. Measure of the numerical variables was corrected. 7. The labels of the questions were simplified (removing the answer options and non necessary text) 8. New variables for the constructs were computed using “Compute variable” with the mean of the variables that contribute to each construct in each group. (The syntax file “Data preparation.sps” can be used to automatize the procedure of data preparation. Just change the path in FILE=’…’ to your full directory path. The formulas for building the constructs are in lines 80-372.)
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
2022-04-30T00:30:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/other
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status_str publishedVersion
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dc.language.iso.fl_str_mv eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Superior de Administração e Contabilidade do Porto
publisher.none.fl_str_mv Instituto Superior de Administração e Contabilidade do Porto
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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