scholarly journals Early Math Interventions in Informal Learning Settings Coding Protocol

2021 ◽  
Author(s):  
Gena Nelson ◽  
Hannah Carter ◽  
Peter Boedeker
Keyword(s):  
Informal Learning ◽  
Meta Analysis ◽  
Basic Study ◽  
Data Set ◽  
Mathematics Intervention ◽  
Math Interventions ◽  
The Public ◽  
Control Comparison ◽  
Quasi Experimental ◽  
Content Information

The purpose of document is to provide readers with the coding protocol that authors used to code experimental and quasi-experimental early mathematics intervention studies conducted in informal learning environments. The studies were conducted in homes and in museums with caregivers as intervention agents and included children between the ages of 3,0 and 8,11 years. The coding protocol includes more than 200 variables related to basic study information, participant sample size and demographics, methodological information, intervention information, mathematics content information, the control/comparison condition, outcome measures, and results and effect sizes. The coding protocol was developed for the purpose of conducting a meta-analysis; results of the meta-analysis is pending. The data set associated with this coding protocol will be available to the public at the conclusion of the grant (early 2024).

Basic Study Designs

2018 ◽  
pp. 68-86
Author(s):  
Alexandra Gomez ◽  
Felipe Fregni ◽  
Vera Novak ◽  
Andre Brunoni
Keyword(s):  
Repeated Measures ◽  
Real Life ◽  
Basic Study ◽  
Repeated Measures Design ◽  
Parallel Group ◽  
Control Comparison ◽  
Quasi Experimental ◽  
Comparison Trial ◽  
Study Designs

This chapter on basic study designs provides an overview of the most common design methodologies used in interventional studies. The chapter discusses both the advantages and limitations of parallel group designs (placebo or active control comparison trial, factorial design), repeated measures design (cross-over or between-subjects design), and quasi-experimental designs. It provides examples and discusses designs that are used in specific settings (for example, rare diseases, phases of dug development, and interventions in real life, including large simple trials, N-of-1). The chapter ends with a case study that illustrates the in-depth application of the available options into practice.

scholarly journals Special Education Math Interventions

2021 ◽  
Author(s):  
Gena Nelson
Keyword(s):  
Meta Analysis ◽  
Quality Of Data ◽  
Quality Of Reporting ◽  
Eligibility Criteria ◽  
Mathematics Intervention ◽  
Screening Criteria ◽  
Math Interventions ◽  
Meta Analyses ◽  
Analysis Quality

The purpose of document is to provide readers with the coding protocol that authors used to code 22 mathematics intervention meta-analyses focused on participants with or at-risk of disabilities. The author drafted this coding protocol based on the meta-analysis quality indicators recommended by Talbott et al. (2018, pp. 248–249); specifically, the author considered the variables presented in Table 1 of Talbott et al. and supplemented the information so that the variables and definitions were specific to the purpose of this systematic review. We coded each meta-analysis for 53 variables across eight categories, including: Quality of Clear Research Questions, Quality of Eligibility Criteria, Quality of Search Procedures, Quality of Screening Criteria, Quality of Coding Procedures, Quality of Research Participants and Contexts, Quality of Data Analysis Plan, and Quality of Reporting Results. The mean interrater reliability across all codes using this protocol was 87.8% (range across categories = 74% –100%).

Electing the Senate

2017 ◽  
Author(s):  
Wendy J. Schiller ◽  
Charles Stewart III
Keyword(s):  
Original Data ◽  
State Legislators ◽  
Internal Conflict ◽  
Data Set ◽  
Senate Elections ◽  
Political Actors ◽  
The Public ◽  
Seventeenth Amendment ◽  
The People ◽  
Election Process

From 1789 to 1913, U.S. senators were not directly elected by the people—instead the Constitution mandated that they be chosen by state legislators. This radically changed in 1913, when the Seventeenth Amendment to the Constitution was ratified, giving the public a direct vote. This book investigates the electoral connections among constituents, state legislators, political parties, and U.S. senators during the age of indirect elections. The book finds that even though parties controlled the partisan affiliation of the winning candidate for Senate, they had much less control over the universe of candidates who competed for votes in Senate elections and the parties did not always succeed in resolving internal conflict among their rank and file. Party politics, money, and personal ambition dominated the election process, in a system originally designed to insulate the Senate from public pressure. The book uses an original data set of all the roll call votes cast by state legislators for U.S. senators from 1871 to 1913 and all state legislators who served during this time. Newspaper and biographical accounts uncover vivid stories of the political maneuvering, corruption, and partisanship—played out by elite political actors, from elected officials, to party machine bosses, to wealthy business owners—that dominated the indirect Senate elections process. The book raises important questions about the effectiveness of Constitutional reforms, such as the Seventeenth Amendment, that promised to produce a more responsive and accountable government.

The Negative Intelligence–Religiosity Relation: New and Confirming Evidence

2019 ◽  
Vol 46 (6) ◽  
pp. 856-868 ◽  
Author(s):  
Miron Zuckerman ◽  
Chen Li ◽  
Shengxin Lin ◽  
Judith A. Hall
Keyword(s):  
Cognitive Ability ◽  
Cognitive Style ◽  
Religious Beliefs ◽  
Meta Analysis ◽  
Theoretical Work ◽  
Data Set ◽  
Analytic Cognitive Style

Zuckerman et al. (2013) conducted a meta-analysis of 63 studies that showed a negative intelligence–religiosity relation (IRR). As more studies have become available and because some of Zuckerman et al.’s (2013) conclusions have been challenged, we conducted a new meta-analysis with an updated data set of 83 studies. Confirming previous conclusions, the new analysis showed that the correlation between intelligence and religious beliefs in college and noncollege samples ranged from −.20 to −.23. There was no support for mediation of the IRR by education but there was support for partial mediation by analytic cognitive style. Thus, one possible interpretation for the IRR is that intelligent people are more likely to use analytic style (i.e., approach problems more rationally). An alternative (and less interesting) reason for the mediation is that tests of both intelligence and analytic style assess cognitive ability. Additional empirical and theoretical work is needed to resolve this issue.

scholarly journals Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries

2021 ◽  
Author(s):  
Christian Thiele ◽  
Gerrit Hirschfeld ◽  
Ruth von Brachel
Keyword(s):  
Clinical Trials ◽  
Random Forest ◽  
Random Forest Model ◽  
Scientometric Analysis ◽  
Data Set ◽  
The Public ◽  
Forest Model ◽  
Clinical Trial Registries ◽  
Multiple Primary ◽  
Clinical Trials Registry

AbstractRegistries of clinical trials are a potential source for scientometric analysis of medical research and serve important functions for the research community and the public at large. Clinical trials that recruit patients in Germany are usually registered in the German Clinical Trials Register (DRKS) or in international registries such as ClinicalTrials.gov. Furthermore, the International Clinical Trials Registry Platform (ICTRP) aggregates trials from multiple primary registries. We queried the DRKS, ClinicalTrials.gov, and the ICTRP for trials with a recruiting location in Germany. Trials that were registered in multiple registries were linked using the primary and secondary identifiers and a Random Forest model based on various similarity metrics. We identified 35,912 trials that were conducted in Germany. The majority of the trials was registered in multiple databases. 32,106 trials were linked using primary IDs, 26 were linked using a Random Forest model, and 10,537 internal duplicates on ICTRP were identified using the Random Forest model after finding pairs with matching primary or secondary IDs. In cross-validation, the Random Forest increased the F1-score from 96.4% to 97.1% compared to a linkage based solely on secondary IDs on a manually labelled data set. 28% of all trials were registered in the German DRKS. 54% of the trials on ClinicalTrials.gov, 43% of the trials on the DRKS and 56% of the trials on the ICTRP were pre-registered. The ratio of pre-registered studies and the ratio of studies that are registered in the DRKS increased over time.

The effectiveness of hope-fostering interventions in palliative care: A systematic review and meta-analysis

2021 ◽  
pp. 026921632199472
Author(s):  
Natalia Salamanca-Balen ◽  
Thomas V Merluzzi ◽  
Man Chen
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Palliative Care ◽  
Meta Analysis ◽  
Symptom Burden ◽  
Well Being ◽  
Medium Effect ◽  
Spiritual Well Being ◽  
Quasi Experimental

Background: The concept of hope is an important theme in chronic illness and palliative care and has been associated with increased psycho-spiritual well-being and quality of life. Psycho-spiritual interventions have been described in this population, but no systematic review of hope-enhancing interventions or hopelessness-reducing interventions has been conducted for persons with palliative care diseases. Aim: To describe and assess the effectiveness of interventions in palliative care that measure hope and/or hopelessness as an outcome. Design: This systematic review and meta-analysis was pre-registered (Prospero ID: CRD42019119956). Data sources: Electronic databases, journals, and references were searched. We used the Cochrane criteria to assess the risk of bias within studies. Results: Thirty-five studies (24 randomized controlled trials, 5 quasi-experimental, 6 pre-post studies) involving a total of 3296 palliative care patients were included. Compared with usual/standard cancer care alone, interventions significantly increased hope levels at a medium effect size ( g = 0.61, 95% confidence interval (CI) = 0.28–0.93) but did not significantly reduce hopelessness ( g = −0.08, 95% CI = −0.18 to 0.02). It was found that interventions significantly increase spirituality ( g = 0.70, 95% CI = 0.02–1.37) and decrease depression ( g = −0.29, 95% CI = −0.51 to −0.07), but had no significant effect over anxiety, quality of life, and symptom burden. Overall, quality of evidence across the included studies was rated as low. Conclusions: Evidence suggests that interventions can be effective in increasing hope in palliative care patients.

scholarly journals A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening

2021 ◽  
Vol 18 (5) ◽  
pp. 2580
Author(s):  
Guangchao Charles Feng ◽  
Zhiliang Lin ◽  
Wanhua Ou ◽  
Xianglin Su ◽  
Qing Yan
Keyword(s):  
Structural Equation ◽  
Meta Analysis ◽  
Health Belief ◽  
Screening Tests ◽  
Equation Modeling ◽  
Willingness To Participate ◽  
Early Screening ◽  
The Public ◽  
Screening Programs ◽  
Belief Model

Although early screening tests are beneficial for the detection and treatment of cancers, many people have failed to participate in screening tests. The present study aims to explore the theoretical underpinning of low participation in screening programs using the method of meta-analytic structural equation modeling. It was found that the health belief model is the most adopted theoretical framework. Moreover, the intended uptake of screening was positively predicted only by cues to action, health literacy, and perceived susceptibility. As a result, a health intention model, including the three significant variables, is proposed. The practical implications of the findings are that health communication campaigns should focus on enlightening and engaging the public through all necessary means to raise awareness and transfer knowledge in relation to screening procedures as well as cancers per se.

Understanding understanding: a model for the public learning of radioactivity

1999 ◽  
Vol 8 (4) ◽  
pp. 267-284 ◽  
Author(s):  
Steve Alsop
Keyword(s):  
Informal Learning ◽  
Background Radiation ◽  
Public Understanding Of Science ◽  
Public Understanding ◽  
Change Model ◽  
Potential Health ◽  
The Public ◽  
Understanding Of Science ◽  
Conceptual Change Model

While much of the work in the public understanding of science has focused on the public's appreciation of science and their familiarity with key scientific concepts, understanding the processes involved in learning science has largely been ignored. This article documents a study of how particular members of the public learn about radiation and radioactivity, and proposes a model to describe their learning—the Informal Conceptual Change Model [ICCM]. ICCM is a multidimensional framework that incorporates three theoretical dimensions—the cognitive, conative, and affective. The paper documents each of these dimensions, and then illustrates the model by drawing upon data collected in a case study. The emphasis of the analysis is on understanding how the members of the public living in an area with high levels of background radiation learn about the science of this potential health threat. The summarizing comments examine the need for a greater awareness of the complexities of informal learning.

scholarly journals Dietary patterns and CVD: a systematic review and meta-analysis of observational studies

2015 ◽  
Vol 114 (9) ◽  
pp. 1341-1359 ◽  
Author(s):  
Míriam Rodríguez-Monforte ◽  
Gemma Flores-Mateo ◽  
Emília Sánchez
Keyword(s):  
Cohort Studies ◽  
Dietary Patterns ◽  
Observational Studies ◽  
Protective Factor ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Case Control ◽  
Case Control Studies ◽  
Chd Risk ◽  
Control Comparison

AbstractEpidemiological studies show that diet is linked to the risk of developing CVD. The objective of this meta-analysis was to estimate the association between empirically derived dietary patterns and CVD. PubMed was searched for observational studies of data-driven dietary patterns that reported outcomes of cardiovascular events. The association between dietary patterns and CVD was estimated using a random-effects meta-analysis with 95 % CI. Totally, twenty-two observational studies met the inclusion criteria. The pooled relative risk (RR) for CVD, CHD and stroke in a comparison of the highest to the lowest category of prudent/healthy dietary patterns in cohort studies was 0·69 (95 % CI 0·60, 0·78; I2=0 %), 0·83 (95 % CI 0·75, 0·92; I2=44·6 %) and 0·86 (95 % CI 0·74, 1·01; I2=59·5 %), respectively. The pooled RR of CHD in a case–control comparison of the highest to the lowest category of prudent/healthy dietary patterns was 0·71 (95 % CI 0·63, 0·80; I2=0 %). The pooled RR for CVD, CHD and stroke in a comparison of the highest to the lowest category of western dietary patterns in cohort studies was 1·14 (95 % CI 0·92, 1·42; I2=56·9 %), 1·03 (95 % CI 0·90, 1·17; I2=59·4 %) and 1·05 (95 % CI 0·91, 1·22; I2=27·6 %), respectively; in case–control studies, there was evidence of increased CHD risk. Our results support the evidence of the prudent/healthy pattern as a protective factor for CVD.

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