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Data from the Efficacy Study of From Here to There! A Dynamic Technology for Improving Algebraic Understanding. 从这里到那里的疗效研究数据!一种提高代数理解的动态技术
Pub Date : 2023-04-04 eCollection Date: 2023-01-01 DOI: 10.5334/jopd.87
Erin Ottmar, Ji-Eun Lee, Kirk Vanacore, Siddhartha Pradhan, Lauren Decker-Woodrow, Craig A 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.

本文为研究项目提供了数据集信息,该项目考察了三种教育技术的功效,其中包括“从这里到那里!”,这是一种基于研究的游戏,用于提高代数理解。该数据集包含4092名七年级学生的数据,这些数据是通过2020-2021年在美国一个大型学区进行的随机对照试验收集的。数据包括400多项指标,包括学生人口统计、评估和学生行为。所有数据都是匿名的,存储在开放科学框架(OSF)上,并通过数据共享协议提供。我们的数据可能会被对学生在在线学习环境中的代数学习感兴趣的研究人员重复使用。
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引用次数: 0
Data from the German TwinLife Study: Genetic and Social Origins of Educational Predictors, Processes, and Outcomes. 德国双胞胎研究数据:教育预测因素、过程和结果的遗传和社会起源
Pub Date : 2023-03-21 eCollection Date: 2023-01-01 DOI: 10.5334/jopd.78
Theresa Rohm, Anastasia Andreas, Marco Deppe, Harald Eichhorn, Jana Instinske, Christoph H Klatzka, Anita Kottwitz, Kristina Krell, Bastian Mönkediek, Lena Paulus, Sophia Piesch, Mirko Ruks, Alexandra Starr, Lena Weigel, Martin Diewald, Christian Kandler, Rainer Riemann, Frank M 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.

德国TwinLife研究的主要目的是调查从童年到成年早期的发展轨迹中驱动教育和其他不平等的基因-环境相互作用。TwinLife包含了一项为期8年的纵向、交叉序列扩展双胞胎家庭设计,数据来自四个年龄段的同性双胞胎(5岁、11岁、17岁和23岁)及其父母,以及他们的非双胞胎兄弟姐妹、伴侣和子女(如果有的话),总共包含N = 4096个家庭。因此,TwinLife包含独特且可公开获取的数据,允许但不限于对教育程度、学业成绩和技能发展方面不平等的来源进行遗传信息和环境敏感的研究。
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引用次数: 0
Data from the National Educational Panel Study (NEPS) in Germany: Educational Pathways of Students in Grade 5 and Higher. 数据来自德国国家教育小组研究(NEPS):五年级及以上学生的教育途径。
Pub Date : 2023-02-07 eCollection Date: 2023-01-01 DOI: 10.5334/jopd.79
Kathrin Thums, Karin Gehrer, Timo Gnambs, Kathrin Lockl, Lena Nusser

The German National Educational Panel Study investigates individual competences and educational trajectories in a longitudinal multi-cohort study design. The third of the six starting cohorts focuses on paths through lower into upper secondary level and beyond. The representative sample includes about N = 6,112 students from fifth grade attending regular or special schools. Students were initially sampled in 2010 and, subsequently, received follow-up interviews and competence tests each year resulting, as of yet, in a total of 12 measurement waves. Additionally, important context persons (i.e., parents, teachers, and heads of schools) were included in the assessment design. The longitudinal nature of the data provides rich opportunities for research on the development of competences through secondary school.

德国国家教育小组研究在纵向多队列研究设计中调查了个人能力和教育轨迹。六个开始队列中的第三个侧重于从初中到高中以及更高水平的路径。代表性样本包括约N = 6112名在普通或特殊学校就读的五年级学生。2010年开始对学生进行抽样调查,随后每年接受后续访谈和能力测试,迄今共进行了12次测量。此外,重要的情境人物(即家长、教师和校长)也被纳入评估设计。数据的纵向性质为研究中学胜任力发展提供了丰富的机会。
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引用次数: 0
Norms on the Gender Perception of Role Nouns: Gender Ratio Data for Chinese, Finnish, and Russian. 角色名词的性别认知规范:汉语、芬兰语和俄语的性别比例数据
Pub Date : 2023-01-20 eCollection Date: 2023-01-01 DOI: 10.5334/jopd.73
Ute Gabriel, Jonathan Kim, Anton Öttl, Pascal Gygax, Lei Cui, Jukka Hyönä, Olga Nagel

The perceived gender ratio of 422 role nouns was evaluated by Chinese- (N = 80), Finnish- (N = 77), and Russian-speaking (N = 134) students using an 11-point rating scale with counterbalanced scale anchors. Data were collected online between 2015 and 2019, via a self-administered questionnaire. The dataset contains all role nouns in English together with their Chinese, Finnish, and Russian translations, as well as by-item analyses. The data set expands previous data sets and provides social scientists with gender ratio information when selecting social or occupational roles as stimulus materials for experimentation, especially for cross-linguistic or cross-cultural studies.

422个角色名词的感知性别比例由汉语(N = 80)、芬兰语(N = 77)和俄语(N = 134)学生使用带有平衡量表锚点的11分评定量表进行评估。数据是在2015年至2019年期间通过一份自我填写的问卷在网上收集的。该数据集包含所有英语角色名词及其中文、芬兰语和俄语翻译,以及逐项分析。该数据集扩展了以前的数据集,为社会科学家选择社会或职业角色作为实验刺激材料,特别是跨语言或跨文化研究,提供了性别比例信息。
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引用次数: 0
Data from the Panel Study 'Refugees in the German Educational System (ReGES)'. 来自小组研究“德国教育系统中的难民”(ReGES)的数据
Pub Date : 2023-01-05 eCollection Date: 2023-01-01 DOI: 10.5334/jopd.77
Jutta von Maurice, Gisela Will

The study 'Refugees in the German Educational System' is a two-cohort panel addressing the integration of refugee children and adolescents into the German educational system. Data collection followed a multi-informant perspective as well as a multi-mode approach. It started at Wave 1 in January 2018 with a sample of 2,405 refugee children and 2,415 refugee adolescents. Participants were followed over seven survey waves for more than two years. ReGES data is stored at the Research Data Center of the Leibniz Institute for Educational Trajectories and is open for use for to scientific community without costs or any embargo.

“德国教育系统中的难民”研究是一个两组小组讨论难民儿童和青少年融入德国教育系统的问题。数据收集遵循多信息提供者视角和多模式方法。它始于2018年1月的第一波,样本包括2405名难民儿童和2415名难民青少年。参与者在两年多的时间里接受了七次调查。ReGES数据存储在莱布尼茨教育轨迹研究所的研究数据中心,并向科学界开放使用,不收取任何费用或任何禁运。
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引用次数: 0
Using the Probability-Based GESIS Panel for Longitudinal Psychological Research on the COVID-19 Outbreak in Germany 利用基于概率的GESIS小组对德国新冠肺炎疫情进行纵向心理研究
Pub Date : 2023-01-01 DOI: 10.5334/jopd.90
Bernd Weiß, Sven Stadtmüller
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.
GESIS面板(GP)允许科学界在基于概率的混合模式面板中免费收集调查数据。此外,GP为二次研究提供了高质量的纵向数据。2020年3月,全科医生对新冠肺炎疫情进行了专项调查。从那时起,COVID-19问卷模块已成为GP的一个组成部分。总而言之,共回答了13个问题,其中包括与COVID-19有关的态度、意见和行为。在此,我们介绍GP关注新冠肺炎疫情的纵向心理学研究机会。
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引用次数: 0
Data from the Swiss TREE Panel Study (Transitions from Education to Employment) 数据来自瑞士TREE小组研究(从教育到就业的转变)
Pub Date : 2023-01-01 DOI: 10.5334/jopd.97
Sandra Hupka-Brunner, Thomas Meyer, Andrés Gomensoro
TREE (Transitions from Education to Employment) is a prospective inter-disciplinary mixed-mode panel study following up on post-compulsory education and employment trajectories of two Swiss compulsory school leavers’ cohorts: TREE1 was launched as a PISA follow-up survey in 2000 (n t0 = 6343, n t10 in 2020 = 3882). TREE2 started in 2016 and draws on a national large-scale assessment of mathematics skills (n t0 = 8429, n t6 in 2022 = 4461). The panel is ongoing, further panel waves being planned for both cohorts. Data from both cohorts are available at the Swiss data archive SWISSUbase (www.swissubase.ch; reference number 12476)
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引用次数: 0
Data from PIAAC Germany and its Longitudinal Follow-Up, PIAAC-L 数据来自德国PIAAC及其纵向随访
Pub Date : 2022-12-13 DOI: 10.5334/jopd.74
Silke Martin, Anouk Zabal, Débora B. Maehler, Beatrice Rammstedt
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引用次数: 1
Data from 990 Public Real-World Job Advertisements Organized by O*NET Categories 数据来自990个公开的真实世界的招聘广告由O*NET分类
Pub Date : 2022-11-21 DOI: 10.5334/jopd.69
Steven Zhou, J. Aitken, Peter J. McEachern, Renee McCauley
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引用次数: 0
The Open Anchoring Quest Dataset: Anchored Estimates from 96 Studies on Anchoring Effects 开放锚定任务数据集:来自96个锚定效应研究的锚定估计
Pub Date : 2022-10-26 DOI: 10.5334/jopd.67
L. Röseler, Lucia Weber, Katharina Helgerth, Elena Stich, Miriam Günther, Paulina Tegethoff, Felix Wagner, M. Antunovic, F. Barrera-Lemarchand, E. Halali, K. Ioannidis, O. Genschow, N. Milstein, D. Molden, F. Papenmeier, Z. Pavlovic, R. Rinn, M. Schreiter, M. F. Zimdahl, Š. Bahník, C. Bermeitinger, F. N. Blower, H. L. Bögler, P. Burgmer, N. Cheek, L. Dorsch, S. Fels, M. Frech, L. Freira, A. Harris, J. Häusser, M. Hedgebeth, M. Henkel, D. Horvath, P. Intelmann, A. Klamar, E. Knappe, L.-M. Köppel, S. M. Krueger, S. Lagator, F. López-Boo, J. Navajas, J. Norem, J. Novak, Y. Onuki, E. Page, T. Rebholz, M. Sartorio, S. Schindler, D. Shanks, Michael Siems, P. Stäglich, M. Starkulla, M. Stitz, T. Straube, K. Thies, E. Thum, K. Ueda, M. Undorf, D. Urlichich, M. Vadillo, H. Wolf, A. Zhou, A. Schütz
People’s estimates are biased toward previously considered numbers (anchoring). We have aggregated all available data from anchoring studies that included at least two anchors into one large dataset. Data were standardized to comprise one estimate per row, coded according to a wide range of variables, and are available for download and analyses online (https://metaanalyses.shinyapps.io/OpAQ/). Because the dataset includes both original and meta-data it allows for fine-grained analyses (e.g., correlations of estimates for different tasks) but also for meta-analyses (e.g., effect sizes for anchoring effects).
人们的估计偏向于先前考虑的数字(锚定)。我们将包括至少两个锚点的锚定研究的所有可用数据汇总到一个大数据集中。数据被标准化,每行包含一个估计,根据广泛的变量进行编码,并可在线下载和分析(https://metaanalyses.shinyapps.io/OpAQ/)。因为数据集包括原始数据和元数据,所以它允许进行细粒度分析(例如,不同任务估计的相关性),也允许进行元分析(例如,锚定效应的效应大小)。
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Journal of open psychology data
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