DIGITOOLS – Innovative tools for enhancing e-learning solutions in universities
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2021 |
| Outros Autores: | , , , , , |
| 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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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 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/other |
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other |
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publishedVersion |
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http://hdl.handle.net/10400.22/18948 |
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http://hdl.handle.net/10400.22/18948 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Instituto Superior de Administração e Contabilidade do Porto |
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Instituto Superior de Administração e Contabilidade do Porto |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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