Jenny Terry, Robert M. Ross, Tamás Nagy, Mauricio Salgado, Patricia Garrido-Vásquez, Jacob O. Sarfo, Susan Cooper, Anke C. Buttner, Tiago J. S. Lima, İbrahim Öztürk, Nazlı Akay, Flavia H. Santos, Christina Artemenko, Lee T. Copping, Mahmoud M. Elsherif, Ilija Milovanović, Robert A. Cribbie, Marina G. Drushlyak, Katherine Swainston, Yiyun Shou, Juan David Leongómez, Nicola Palena, Fitri A. Abidin, Maria F. Reyes-Rodríguez, Yunfeng He, Juneman Abraham, Argiro Vatakis, Kristin Jankowsky, Stephanie N. L. Schmidt, Elise Grimm, Desirée González, Philipp Schmid, Roberto A. Ferreira, Dmitri Rozgonjuk, Neslihan Özhan, Patrick A. O’Connor, Andras N. Zsido, Gregor Stiglic, Darren Rhodes, Cristina Rodríguez, Ivan Ropovik, Violeta Enea, Ratri Nurwanti, Alejandro J. Estudillo, Nataly Beribisky, Karel K. Himawan, Linda M. Geven, Anne H. Van Hoogmoed, Amélie Bret, Jodie E. Chapman, Udi Alter, Zoe M. Flack, Donncha Hanna, Mojtaba Soltanlou, Gabriel Banik, Matúš Adamkovič, Sanne H. G. Van der Ven, Jochen A. Mosbacher, Hilal H. Şen, Joel R. Anderson, Michael Batashvili, Kristel De Groot, Matthew O. Parker, Mai Helmy, Mariia M. Ostroha, Katie A. Gilligan-Lee, Felix O. Egara, Martin J. Barwood, Karuna Thomas, Grace McMahon, Siobhán M. Griffin, Hans-Christoph Nuerk, Alyssa Counsell, Oliver Lindemann, Dirk Van Rooy, Theresa E. Wege, Joanna E. Lewis, Balazs Aczel, Conal Monaghan, Ali H. Al-Hoorie, Julia F. Huber, Saadet Yapan, Mauricio E. Garrido Vásquez, Antonino Callea, Tolga Ergiyen, James M. Clay, Gaetan Mertens, Feyza Topçu, Merve G. Tutlu, Karin Täht, Kristel Mikkor, Letizia Caso, Alexander Karner, Maxine M. C. Storm, Gabriella Daroczy, Rizqy A. Zein, Andrea Greco, Erin M. Buchanan, Katharina Schmid, Thomas E. Hunt
This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website [https://osf.io/mhg94/].
{"title":"Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)","authors":"Jenny Terry, Robert M. Ross, Tamás Nagy, Mauricio Salgado, Patricia Garrido-Vásquez, Jacob O. Sarfo, Susan Cooper, Anke C. Buttner, Tiago J. S. Lima, İbrahim Öztürk, Nazlı Akay, Flavia H. Santos, Christina Artemenko, Lee T. Copping, Mahmoud M. Elsherif, Ilija Milovanović, Robert A. Cribbie, Marina G. Drushlyak, Katherine Swainston, Yiyun Shou, Juan David Leongómez, Nicola Palena, Fitri A. Abidin, Maria F. Reyes-Rodríguez, Yunfeng He, Juneman Abraham, Argiro Vatakis, Kristin Jankowsky, Stephanie N. L. Schmidt, Elise Grimm, Desirée González, Philipp Schmid, Roberto A. Ferreira, Dmitri Rozgonjuk, Neslihan Özhan, Patrick A. O’Connor, Andras N. Zsido, Gregor Stiglic, Darren Rhodes, Cristina Rodríguez, Ivan Ropovik, Violeta Enea, Ratri Nurwanti, Alejandro J. Estudillo, Nataly Beribisky, Karel K. Himawan, Linda M. Geven, Anne H. Van Hoogmoed, Amélie Bret, Jodie E. Chapman, Udi Alter, Zoe M. Flack, Donncha Hanna, Mojtaba Soltanlou, Gabriel Banik, Matúš Adamkovič, Sanne H. G. Van der Ven, Jochen A. Mosbacher, Hilal H. Şen, Joel R. Anderson, Michael Batashvili, Kristel De Groot, Matthew O. Parker, Mai Helmy, Mariia M. Ostroha, Katie A. Gilligan-Lee, Felix O. Egara, Martin J. Barwood, Karuna Thomas, Grace McMahon, Siobhán M. Griffin, Hans-Christoph Nuerk, Alyssa Counsell, Oliver Lindemann, Dirk Van Rooy, Theresa E. Wege, Joanna E. Lewis, Balazs Aczel, Conal Monaghan, Ali H. Al-Hoorie, Julia F. Huber, Saadet Yapan, Mauricio E. Garrido Vásquez, Antonino Callea, Tolga Ergiyen, James M. Clay, Gaetan Mertens, Feyza Topçu, Merve G. Tutlu, Karin Täht, Kristel Mikkor, Letizia Caso, Alexander Karner, Maxine M. C. Storm, Gabriella Daroczy, Rizqy A. Zein, Andrea Greco, Erin M. Buchanan, Katharina Schmid, Thomas E. Hunt","doi":"10.5334/jopd.80","DOIUrl":"https://doi.org/10.5334/jopd.80","url":null,"abstract":"This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website [https://osf.io/mhg94/].","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135741774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hildegard Schaeper, Andreas Ortenburger, Sebastian Franz, Stefanie Gäckle, Claudia Menge, Ilka Wolter
This paper describes the design, survey instruments, data, and their potential for use of a longitudinal study of (prospective) teachers in Germany that follows their professional and competence development from teacher education into the first years in the teaching profession. The Panel of Teacher Education Students (Lehramtsstudierenden-Panel (LAP)) is linked to the Starting Cohort 5 of the National Educational Panel Study (NEPS), which initially included about 18,000 first-year students in the winter term 2010/2011 and an oversampling of teacher education students (about 5,500 students). From 2014 onwards, multiple survey instruments—for example, aspects of preparatory service and of professional competence, instructional practices, and professional development— were specifically addressed to (prospective) teachers. The data was collected in 19 waves between 2010 and 2022.
{"title":"The German Panel of Teacher Education Students: Surveying (Prospective) Teachers from Higher Education into Working Life","authors":"Hildegard Schaeper, Andreas Ortenburger, Sebastian Franz, Stefanie Gäckle, Claudia Menge, Ilka Wolter","doi":"10.5334/jopd.76","DOIUrl":"https://doi.org/10.5334/jopd.76","url":null,"abstract":"This paper describes the design, survey instruments, data, and their potential for use of a longitudinal study of (prospective) teachers in Germany that follows their professional and competence development from teacher education into the first years in the teaching profession. The Panel of Teacher Education Students (Lehramtsstudierenden-Panel (LAP)) is linked to the Starting Cohort 5 of the National Educational Panel Study (NEPS), which initially included about 18,000 first-year students in the winter term 2010/2011 and an oversampling of teacher education students (about 5,500 students). From 2014 onwards, multiple survey instruments—for example, aspects of preparatory service and of professional competence, instructional practices, and professional development— were specifically addressed to (prospective) teachers. The data was collected in 19 waves between 2010 and 2022.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45647991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elina Ryvkina, Lara Kroencke, K. Geukes, Julian Scharbert, M. Back
To examine psychological responses to the COVID-19 pandemic, we conducted two large experience sampling (ESM) studies (Study 1: NESM participants = 327 and NESM reports = 29,512, Study 2: NESM participants = 2,272 and NESM reports = 64,810). Each study subsumed two 14-day ESM waves that took place before and during (Study 1) or during and after (Study 2) the first nationwide COVID-19 lockdown in Germany. We describe the assessed variables on the trait (e.g., personality) and state (e.g., momentary emotions) level. All data sets and codebooks are shared on osf.io/6kzx3/. The EMOTIONS data are open to collaboration and inclusion in reviews/meta-analyses.
{"title":"Understanding Psychological Responses to the COVID-19 Pandemic Through ESM Data: The EMOTIONS Project","authors":"Elina Ryvkina, Lara Kroencke, K. Geukes, Julian Scharbert, M. Back","doi":"10.5334/jopd.83","DOIUrl":"https://doi.org/10.5334/jopd.83","url":null,"abstract":"To examine psychological responses to the COVID-19 pandemic, we conducted two large experience sampling (ESM) studies (Study 1: NESM participants = 327 and NESM reports = 29,512, Study 2: NESM participants = 2,272 and NESM reports = 64,810). Each study subsumed two 14-day ESM waves that took place before and during (Study 1) or during and after (Study 2) the first nationwide COVID-19 lockdown in Germany. We describe the assessed variables on the trait (e.g., personality) and state (e.g., momentary emotions) level. All data sets and codebooks are shared on osf.io/6kzx3/. The EMOTIONS data are open to collaboration and inclusion in reviews/meta-analyses.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43735524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Erin Ottmar, Ji-Eun Lee, Kirk P. Vanacore, Siddhartha Pradhan, Lauren E. Decker-Woodrow, C. Mason
This paper provides information on datasets for the research project that examined the efficacy of three educational technologies including “From Here to There!”, a research-based game for improving algebraic understanding. The dataset contains 4,092 7th-grade students’ data collected through a randomized control trial conducted in 2020–2021 in a large school district in the U.S. The data comprises over 400 measures, including student demographics, assessments, and students’ actions. All data is anonymized and stored on Open Science Framework (OSF) and available through a data-sharing agreement. Our data might be reused by researchers interested in students’ algebraic learning in online learning environments.
{"title":"Data from the Efficacy Study of From Here to There! A Dynamic Technology for Improving Algebraic Understanding","authors":"Erin Ottmar, Ji-Eun Lee, Kirk P. Vanacore, Siddhartha Pradhan, Lauren E. Decker-Woodrow, C. Mason","doi":"10.5334/jopd.87","DOIUrl":"https://doi.org/10.5334/jopd.87","url":null,"abstract":"This paper provides information on datasets for the research project that examined the efficacy of three educational technologies including “From Here to There!”, a research-based game for improving algebraic understanding. The dataset contains 4,092 7th-grade students’ data collected through a randomized control trial conducted in 2020–2021 in a large school district in the U.S. The data comprises over 400 measures, including student demographics, assessments, and students’ actions. All data is anonymized and stored on Open Science Framework (OSF) and available through a data-sharing agreement. Our data might be reused by researchers interested in students’ algebraic learning in online learning environments.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47308565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Theresa Rohm, Anastasia Andreas, Marco Deppe, Harald Eichhorn, Jana Instinske, Christoph H. Klatzka, Anita Kottwitz, Kristina Krell, B. Mönkediek, Lena Paulus, Sophia Piesch, Mirko Ruks, Alexandra Starr, Lena Weigel, M. Diewald, C. Kandler, R. Riemann, F. Spinath
The major aim of the German TwinLife study is the investigation of gene-environment interplay driving educational and other inequalities across developmental trajectories from childhood to early adulthood. TwinLife encompasses an 8-year longitudinal, cross-sequential extended twin family design with data from same-sex twins of four age cohorts (5, 11, 17, and 23 years) and their parents, as well as their non-twin siblings, partners, and children, if available, altogether containing N = 4,096 families. As such, TwinLife includes unique and openly accessible data that allows, but is not limited to, genetically informative and environmentally sensitive research on sources of inequalities regarding educational attainment, school achievement, and skill development.
{"title":"Data from the German TwinLife Study: Genetic and Social Origins of Educational Predictors, Processes, and Outcomes","authors":"Theresa Rohm, Anastasia Andreas, Marco Deppe, Harald Eichhorn, Jana Instinske, Christoph H. Klatzka, Anita Kottwitz, Kristina Krell, B. Mönkediek, Lena Paulus, Sophia Piesch, Mirko Ruks, Alexandra Starr, Lena Weigel, M. Diewald, C. Kandler, R. Riemann, F. Spinath","doi":"10.5334/jopd.78","DOIUrl":"https://doi.org/10.5334/jopd.78","url":null,"abstract":"The major aim of the German TwinLife study is the investigation of gene-environment interplay driving educational and other inequalities across developmental trajectories from childhood to early adulthood. TwinLife encompasses an 8-year longitudinal, cross-sequential extended twin family design with data from same-sex twins of four age cohorts (5, 11, 17, and 23 years) and their parents, as well as their non-twin siblings, partners, and children, if available, altogether containing N = 4,096 families. As such, TwinLife includes unique and openly accessible data that allows, but is not limited to, genetically informative and environmentally sensitive research on sources of inequalities regarding educational attainment, school achievement, and skill development.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43099129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ute Gabriel, Jonathan Kim, A. Öttl, P. Gygax, Lei Cui, J. Hyönä, O. Nagel
{"title":"Norms on the Gender Perception of Role Nouns: Gender Ratio Data for Chinese, Finnish, and Russian","authors":"Ute Gabriel, Jonathan Kim, A. Öttl, P. Gygax, Lei Cui, J. Hyönä, O. Nagel","doi":"10.5334/jopd.73","DOIUrl":"https://doi.org/10.5334/jopd.73","url":null,"abstract":"","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43360702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data from the Panel Study ‘Refugees in the German Educational System (ReGES)’","authors":"Jutta von Maurice, Gisela Will","doi":"10.5334/jopd.77","DOIUrl":"https://doi.org/10.5334/jopd.77","url":null,"abstract":"","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43857320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The GESIS Panel (GP) allows the scientific community to collect survey data free of charge within a probability-based mixed-mode panel. In addition, the GP provides high-quality longitudinal data for secondary research. In March 2020, the GP conducted a special survey on the coronavirus outbreak. Since then, the COVID-19 questionnaire module has become an integral part of the GP. In sum, 13 waves were fielded that included questions on COVID-19, e.g., on attitudes, opinions, and behaviors related to the pandemic. Here, we introduce the GP focusing on longitudinal psychological research opportunities regarding the COVID-19 outbreak.
{"title":"Using the Probability-Based GESIS Panel for Longitudinal Psychological Research on the COVID-19 Outbreak in Germany","authors":"Bernd Weiß, Sven Stadtmüller","doi":"10.5334/jopd.90","DOIUrl":"https://doi.org/10.5334/jopd.90","url":null,"abstract":"The GESIS Panel (GP) allows the scientific community to collect survey data free of charge within a probability-based mixed-mode panel. In addition, the GP provides high-quality longitudinal data for secondary research. In March 2020, the GP conducted a special survey on the coronavirus outbreak. Since then, the COVID-19 questionnaire module has become an integral part of the GP. In sum, 13 waves were fielded that included questions on COVID-19, e.g., on attitudes, opinions, and behaviors related to the pandemic. Here, we introduce the GP focusing on longitudinal psychological research opportunities regarding the COVID-19 outbreak.","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135840836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Newborn Cohort of the German National Educational Panel Study provides longitudinal data for about 3,500 newborns and their families. Starting in 2012, nine annual waves have been published until 2022. The data sets include information on domain-specific and general competencies from standardized tasks/tests with children, observational data on semi-standardized parent-child-interaction, as well as data from parent’s and educational institution’s interviews/questionnaires. The data is accessible via the Research Data Center of the LIfBi and comprehensively documented (English, German) to be used, e.g., in research on child development, educational trajectories,
{"title":"Education from the crib on: The potential of the Newborn Cohort of the German National Educational Panel Study","authors":"M. Attig, M. Vogelbacher, S. Weinert","doi":"10.5334/jopd.81","DOIUrl":"https://doi.org/10.5334/jopd.81","url":null,"abstract":"The Newborn Cohort of the German National Educational Panel Study provides longitudinal data for about 3,500 newborns and their families. Starting in 2012, nine annual waves have been published until 2022. The data sets include information on domain-specific and general competencies from standardized tasks/tests with children, observational data on semi-standardized parent-child-interaction, as well as data from parent’s and educational institution’s interviews/questionnaires. The data is accessible via the Research Data Center of the LIfBi and comprehensively documented (English, German) to be used, e.g., in research on child development, educational trajectories,","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70678879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Thums, Karin Gehrer, Timo Gnambs, Kathrin Lockl, Lena Nusser
{"title":"Data from the National Educational Panel Study (NEPS) in Germany: Educational Pathways of Students in Grade 5 and Higher","authors":"K. Thums, Karin Gehrer, Timo Gnambs, Kathrin Lockl, Lena Nusser","doi":"10.5334/jopd.79","DOIUrl":"https://doi.org/10.5334/jopd.79","url":null,"abstract":"","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70678856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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