SRCD 2019 Workshop - Tools for Improving the Transparency and Replicability of Developmental Research

2019 ◽  
Author(s):  
Grace Elizabeth Binion ◽  
Jack Dennis Arnal ◽  
Benjamin T. Brown ◽  
Pamela Davis-Kean ◽  
Melissa Kline
Keyword(s):  
Data Collection ◽  
Study Design ◽  
Psychological Research ◽  
Open Science ◽  
Study Data ◽  
Developmental Research ◽  
Data Repositories ◽  
Study Materials ◽  
Longitudinal Data Collection ◽  
Science Framework

The field of psychology has increased focus on factors which influence the robustness and replicability of psychological research, illuminating practices which individual investigators might adopt to improve the credibility of their research. These practices include the pre-registration of study design and analytic plans, sharing of study materials, sharing study data, and the circulation of preprints. In service of facilitating adoption of these practices, several tools have been developed to support them. These tools, however, were largely developed by and for investigators in areas of psychology which do not share the same concerns and constraints as developmental scientists, including longitudinal data collection and data collection with sensitive populations. Given this, features of these tools which accommodate more complex study design, revision, and protections where appropriate are poorly advertised. Further, there exists little formalized instruction in the use of these tools and thus their functionality remains poorly understood outside of niche groups. As a result, many developmentalists may view these tools as unapproachable and may see them as a barrier to adopting more transparent, robust practices. This workshop will provide brief tutorials in the use of these tools in the context of developmental research. Specifically, this workshop will address use of the Open Science Framework and AsPredicted.org for pre-registration of longitudinal designs (including steps for modification and revision of pre-registrations), use of the Open Science Framework to share study materials, use of data repositories to share data with protections, and use of PsyArXiv to solicit feedback on preprints, discover unpublished literature, and share existing published works that may be otherwise protected by a paywall.

Sharing data to better understand one of the world’s most significant shared experiences: An overview of the openly accessible longitudinal COVID-19 Psychological Research Consortium (C19PRC) Study data

2021 ◽  
Author(s):  
Orla McBride ◽  
Sarah Butter ◽  
Todd K. Hartman ◽  
Jamie Murphy ◽  
Philip Hyland ◽  
...  
Keyword(s):  
Psychological Research ◽  
Open Science ◽  
Study Data ◽  
Direct Result ◽  
Social Scientists ◽  
Data Resource ◽  
Secondary Use ◽  
Longitudinal Survey Data ◽  
Science Framework ◽  
Research Consortium

This paper serves to alert IJPDS readers to the availability of a major new longitudinal survey data resource, the COVID-19 Psychological Research Consortium (C19PRC) Study, which is being released for secondary use via the Open Science Framework. The C19PRC Study is a rich and detailed dataset that provides a convenient and valuable foundation from which to study the social, political, and health status of European adults during an unprecedent time of change as a direct result of the COVID-19 pandemic and Brexit. Here, we provide an overview of the C19PRC Study design, with the purpose of stimulating interest about the study among social scientists and maximising use of this resource.

scholarly journals Evacuation solutions for individuals with functional limitations in the built environment: a scoping review protocol

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Brad W. R. Roberts ◽  
Abdulrahman Al Bochi ◽  
Mark Weiler ◽  
Yashoda Sharma ◽  
Cesar Marquez-Chin ◽  
...  
Keyword(s):  
Built Environment ◽  
Scoping Review ◽  
Data Extraction ◽  
Functional Limitations ◽  
Open Science ◽  
Included Study ◽  
Study Data ◽  
Different Types ◽  
Review Protocol ◽  
Science Framework

Abstract Background Whether due to aging, disability, injury, or other circumstances, an increasing number of Canadians experience functional limitations that reduce their ability to participate in activities of daily life. While the built environment has become increasingly accessible, existing Canadian evacuation guidelines lack comprehensive strategies for evacuating individuals with functional limitations from buildings during emergencies. To inform guideline revisions, a map of existing solutions for evacuating such individuals is required. Therefore, this scoping review aims to provide an account of solutions that have been reported to safely evacuate individuals with functional limitations from the built environment. Methods We will conduct a scoping review using the Arksey and O’Malley methodological framework. To identify potentially relevant studies, comprehensive searches (from January 2002 onwards) of the CINAHL, Ei Compendex, Inspec, Embase, MEDLINE, KCI, RSCI, SciELO CI, Web of Science Collection, and Scopus databases will be performed. Using a set of inclusion and exclusion criteria, two reviewers will independently (1) classify identified studies as relevant, irrelevant, or maybe relevant by evaluating their titles and abstracts and (2) classify the relevant and maybe relevant studies as included or excluded by evaluating their full-text. From each included study, data on publication information, study purpose, methodological details, evacuation information, and outcomes will be extracted using a set of data extraction items. We will present a numerical summary of the key characteristics of the included studies. For each evacuation activity, reported evacuation solutions will be summarized, and citations provided for functional limitations that are targeted by a given evacuation solution. To inform Canadian evacuation guideline revisions, we will tabulate evacuation activities common to different types of buildings and emergencies. Discussion To our knowledge, this will be the first scoping review to identify the state and use of solutions for evacuating individuals with functional limitations from the built environment. Identifying solutions that enable all individuals to safely evacuate from different types of buildings will allow us to inform recommendations for the revision of evacuation guidelines in Canada and other jurisdictions. The findings of this scoping review will be published in a peer-reviewed journal, presented at relevant conferences, and made publicly available on the internet. Systematic review registration Open Science Framework: osf.io/jefgy

scholarly journals Longitudinal Psychological Family Studies in Austria: A Scoping Review

2021 ◽  
Author(s):  
Laura Freischlager ◽  
Magdalena Siegel ◽  
Amos-Silvio Friedrich ◽  
Martina Zemp
Keyword(s):  
Data Collection ◽  
Scoping Review ◽  
Family Policy ◽  
Longitudinal Research ◽  
Evidence Synthesis ◽  
Grey Literature ◽  
Psychological Research ◽  
Policy And Practice ◽  
Longitudinal Data Collection ◽  
Family Types

Objective: To summarize psychological longitudinal research (including population, method, and design characteristics) on family-related outcomes in Austria using a scoping review approach.Background: Evidence-based family policy and practice rely on country-specific research and evidence syntheses to aid in decision making. Longitudinal psychological research on family outcomes provides crucial information about families in a changing society, but an evidence synthesis for Austria is currently lacking.Method: Adhering to PRISMA guidelines, we searched five scientific databases (PsycInfo, PSYNDEX, Pubmed, Scopus, Web of Science) and conducted manual searches to identify additional grey literature. Ten sources (range sample sizes: 22 to 5,000) reporting on six data collection efforts between 1991 and 2015 were identified. Results were summarized narratively.Results: The majority of the samples consisted of heterosexual nuclear families, while research on more diverse family types is needed. Methods were primarily quantitative and conventional in design, but noteworthy exceptions exist. Comprehensive longitudinal data collection efforts across child development are lacking for the new millennium.Conclusion: State-of-the-art research implementing a triangulation of methods, designs, and perspectives that incorporates diverse family types using an intersectional approach is needed to draw accurate conclusions about the changing family landscape in Austria.

scholarly journals PENANAMAN NILAI-NILAI KEARIFAN LOKAL DI MINU PURWOSARI METRO UTARA

2019 ◽  
Author(s):  
Nur Laili
Keyword(s):  
Data Collection ◽  
Study Design ◽  
Learning Process ◽  
Study Data ◽  
Design Approach ◽  
Data Analyst ◽  
Case Study Data

The purpose of this research is to find the local wisdom that is in values have developed here in minu and strategies that is in use in the planting of the local wisdom in minu values .Was used in the study design approach with a case study .Data collection in technique in full , observation , interviews and documentation . To obtain data is not tampered with used steps perseverance observation and triangulation .Data analyst technique be conducted by way of data collection , reduction , presentation of data and the withdrawal of conclusion .The results of the study showed that ( 1 ) be concluded there are values local keraifan induced in them in minu there are three i.e.: help one another , solidarity and gotongroyong .Those values are already covers all third middle is in piil pesenggiri which includes juluk-adek juluk-adek , nemui-nyimah , nengah-nyappur , sakai-sambaiyan , and titie gemattei .( 2 ) strategy in use in the planting of the local wisdom values in minu pengintegrasikan values through the local wisdom with a learning process , the local wisdom pengintegrasikan values with a culture of schools and the local wisdom with ekstrakulikuler

scholarly journals 実証的研究の事前登録の現状と実践 —OSF事前登録チュートリアル—

2021 ◽  
Author(s):  
Ryuju Hasegawa ◽  
Kanae Tada ◽  
Fumiya Yonemitsu ◽  
Ayumi Ikeda ◽  
Yuki Yamada ◽  
...  
Keyword(s):  
Science Education ◽  
Practical Experience ◽  
Psychological Research ◽  
Open Science ◽  
Psychological Science ◽  
Supplementary Material ◽  
Crisis In Psychology ◽  
Science Framework

In the midst of the current reproducibility crisis in psychology, pre-registration is considered a remedy to increase the reliability of psychological research. However, as pre-registration is an unconventional practice for most psychological researchers, they find it difficult to introduce pre-registration into their studies. In order to promote pre-registration, this article provides a detailed and practical step-by-step tutorial for beginners on pre-registration with the Open Science Framework. Furthermore, a typical example of the practical experience of beginners and its revisions are provided as supplementary material. Finally, we discuss various issues related to pre-registration, such as transparent research, registered reports, preprints, and open science education. We hope that this article will contribute to the improvement of reproducible psychological science in Japan.

scholarly journals Using GPS Data for Psychological Research: A Tutorial

2021 ◽  
Author(s):  
Sandrine Müller ◽  
Joseph Bayer ◽  
Morgan Quinn Ross ◽  
jerry mount ◽  
Clemens Stachl ◽  
...  
Keyword(s):  
Movement Patterns ◽  
Psychological Research ◽  
Open Science ◽  
Gps Data ◽  
Location Data ◽  
Practical Guide ◽  
Spatial Analytics ◽  
Mobility Behavior ◽  
Science Framework ◽  
At Home

The ubiquity of location data-enabled devices provides novel avenues for psychology researchers to incorporate spatial analytics into their studies. Spatial analytics use GPS data to assess and understand mobility behavior (e.g., locations visited, movement patterns). This tutorial provides a practical guide to using GPS data in R, introducing researchers to key procedures and resources for conducting spatial analytics. We show readers how to clean GPS data, compute mobility features (e.g., time spent at home, number of unique places visited), and visualize locations and movement patterns. In addition, we discuss the challenges of ensuring participant privacy and interpreting the psychological implications of mobility behaviors. The tutorial is accompanied by an R Markdown script and a simulated GPS dataset made available on the Open Science Framework.

scholarly journals Is the open access citation advantage real? A systematic review of the citation of open access and subscription-based articles

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253129
Author(s):  
Allison Langham-Putrow ◽  
Caitlin Bakker ◽  
Amy Riegelman
Keyword(s):  
Systematic Review ◽  
Open Access ◽  
Study Design ◽  
Critical Appraisal ◽  
Open Science ◽  
Risk Of Bias ◽  
Low Risk ◽  
Publication Type ◽  
Science Framework ◽  
Citation Advantage

Aims Over the last two decades, the existence of an open access citation advantage (OACA)—increased citation of articles made available open access (OA)—has been the topic of much discussion. While there has been substantial research to address this question, findings have been contradictory and inconclusive. We conducted a systematic review to compare studies of citations to OA and non-OA articles. Methods A systematic search of 17 databases attempted to capture all relevant studies authored since 2001. The protocol was registered in Open Science Framework. We included studies with a direct comparison between OA and non-OA items and reported article-level citation as an outcome. Both randomized and non-randomized studies were included. No limitations were placed on study design, language, or publication type. Results A total of 5,744 items were retrieved. Ultimately, 134 items were identified for inclusion. 64 studies (47.8%) confirmed the existence of OACA, while 37 (27.6%) found that it did not exist, 32 (23.9%) found OACA only in subsets of their sample, and 1 study (0.8%) was inconclusive. Studies with a focus on multiple disciplines were significantly positively associated with finding that OACA exists in subsets, and are less associated with finding that OACA did not exist. In the critical appraisal of the included studies, 3 were found to have an overall low risk of bias. Of these, one found that an OACA existed, one found that it did not, and one found that an OACA occurred in subsets. Conclusions As seen through the large number of studies identified for this review, OACA is a topic of continuing interest. Quality and heterogeneity of the component studies pose challenges for generalization. The results suggest the need for reporting guidelines for bibliometrics studies.

scholarly journals Assessment of Worries of Pregnant Women in Sokoto Northwestern Nigeria

2020 ◽  
Vol 1 (1) ◽  
pp. 62-65
Author(s):  
Zuwaira Sani ◽  
Oche Mansur Oche ◽  
Ahmad Yakubu ◽  
Nwobodo Emmanuel
Keyword(s):  
Health Care ◽  
Pregnant Woman ◽  
Data Collection ◽  
Pregnant Women ◽  
Study Design ◽  
Descriptive Study ◽  
Study Data ◽  
Health Centers ◽  
Cross Sectional ◽  
Data Collection Instrument

Background: Women experience multiple worries during the childbearing period, nearly every pregnant woman or her partner will worry about something pregnancy-related at one point or another. The objectives of the study were to assess the worries of pregnant women using the Cambridge Worry Scale, compare the degree of worries between primigravida and multiparae pregnant women and compare the worries of pregnant women by their stage of pregnancy. Materials and method: The study was a cross-sectional descriptive study design. Four health centers were randomly selected and 361 pregnant women were recruited for the study. Data collection instrument was a self-administered / interviewer-administered questionnaire developed using the Cambridge worry scale Result and Conclusion: Ranking of worries of pregnant women using mean score value showed that pregnant women worry more about child-birth (1.99), their health (1.79), and the possibility of something wrong with the baby (1.70) and money (1.40). This study was able to assess the worries of pregnant women using the Cambridge Worry Scale. It is recommended that health care personnel should take more time in assessing pregnant women for the wellbeing of both the mother and baby.

scholarly journals A fully automated, transparent, reproducible, and blind protocol for sequential analyses

2018 ◽  
Author(s):  
Brice Beffara Bret ◽  
Amélie Beffara Bret ◽  
Ladislas Nalborczyk
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Statistical Power ◽  
Open Science ◽  
Previous Experience ◽  
Major Obstacle ◽  
Sequential Data ◽  
Data Analyses ◽  
Science Framework ◽  
Sequential Analyses

Despite many cultural, methodological and technical improvements, one of the major obstacle to results reproducibility remains the pervasive low statistical power. In response to this problem, a lot of attention has recently been drawn to sequential analyses. This type of procedure has been shown to be more efficient (to require less observations and therefore less resources) than classical fixed-N procedures. However, these procedures are submitted to both intrapersonal and interpersonal biases during data collection and data analysis. In this tutorial, we explain how automation can be used to prevent these biases. We show how to synchronise open and free experiment software programs with the Open Science Framework and how to automate sequential data analyses in R. This tutorial is intended to researchers with beginner experience with R but no previous experience with sequential analyses is required.

scholarly journals A fully automated, transparent, reproducible, and blind protocol for sequential analyses

2021 ◽  
Vol 5 ◽  
Author(s):  
Brice Beffara Bret ◽  
Amélie Beffara Bret ◽  
Ladislas Nalborczyk
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Statistical Power ◽  
Open Science ◽  
Previous Experience ◽  
Major Obstacle ◽  
Sequential Data ◽  
Data Analyses ◽  
Science Framework ◽  
Sequential Analyses

Despite many cultural, methodological, and technical improvements, one of the major obstacle to results reproducibility remains the pervasive low statistical power. In response to this problem, a lot of attention has recently been drawn to sequential analyses. This type of procedure has been shown to be more efficient (to require less observations and therefore less resources) than classical fixed-N procedures. However, these procedures are submitted to both intrapersonal and interpersonal biases during data collection and data analysis. In this tutorial, we explain how automation can be used to prevent these biases. We show how to synchronise open and free experiment software programs with the Open Science Framework and how to automate sequential data analyses in R. This tutorial is intended to researchers with beginner experience with R but no previous experience with sequential analyses is required.

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