From band director to chief data cruncher: Trump’s choice to lead U.S. education statistics agency raises eyebrows

Science ◽  
2018 ◽  
Author(s):  
Jeffrey Mervis
Author(s):  
Thomas D. Snyder ◽  
◽  
Charlene M. Hoffman
Keyword(s):  

2021 ◽  
pp. 095042222199727
Author(s):  
George Pantelopoulos

The objective of this study was to explore and empirically investigate the relationship between the labour force across educational levels and foreign direct investment (FDI), and to facilitate comparisons of education statistics and indicators across countries based on uniform and internationally agreed definitions. The analysis focuses on OECD countries. The empirical findings suggest that an educated labour force positively affects inward FDI. However, different educational levels do not have the same level of significance; tertiary education appears to have the greatest influence. As far as gender is concerned, the level of female participation in the workforce seems to be crucial in attracting FDI, and governments should therefore adopt policies to promote women’s empowerment.


2017 ◽  
Vol 231 ◽  
pp. 797-803 ◽  
Author(s):  
Yong Cai

In a recent article published in this journal, Yaojiang Shi and John Kennedy suggest that China's missing girls problem is much more a statistical artefact than previously known. According to their analysis, unreported female births, or hidden girls, account for 73 per cent of the 15 million missing girls from the 1990–2010 birth cohorts in the 2010 census. Their conclusion is based in part on their fieldwork, but the numerical estimate is grounded on their understanding and analyses of Chinese census data. While the insights from their fieldwork – that China's political system leaves ample room for data manipulation and delayed registration – cannot be faulted, Shi and Kennedy's analyses of Chinese census data are questionable and their conclusion is in contradiction with the “missing girls” shown in other data sources. In this short note, I present three lines of evidence to challenge Shi and Kennedy's conclusion: one from the censuses, one from official education statistics, and one from survey data. For the sake of clarity, I use two terms to describe missing girls: nominal missing – the number of missing girls as revealed by population statistics, and truly missing – the number of missing girls excluding those hidden (unreported) girls. My conclusion backs the conventional wisdom about the missing girls phenomenon in China: the elevated sex ratios in Chinese population, or “missing girls,” is not a statistical artefact, but a real social challenge that China has to face for now and for the foreseeable future.


2021 ◽  
pp. 027243162110103
Author(s):  
Zachary Giano ◽  
Amanda L. Williams ◽  
Jennifer N. Becnel

Students who repeat a grade are at a higher risk of dropping out of high school. Previous research has examined this in a methodologically aggregated way (e.g., repeated any grade versus never repeated) or only specific grades/grade ranges (e.g., Kindergarten or elementary) leaving questions about which grades are more detrimental to repeat with respect to school dropout. This study uses data from the National Center for Education Statistics ( N = 9,309) to comparatively examine which grades, when repeated, show the strongest associations with dropping out. Overall, those who repeated sixth or seventh had the highest odds of dropping out of high school with unique patterns by gender and race/ethnicity. These grades are typically when youth transition into middle school. When examined through a developmental lens, these results highlight the important impact that grade retention while youth experience other normative physical, cognitive, and social changes.


2021 ◽  
pp. 002242942110604
Author(s):  
Heather Nelson Shouldice ◽  
Victoria Woolnough

The purpose of this study was to examine relationships among high school band festival ratings and director gender as well as school locale, school size, student socioeconomic status (SES), student race, repertoire difficulty, and ensemble name. Data included overall ratings of bands ( N = 257) that performed at District Concert Assessments held across the state of Virginia during 2019 as well as demographic information from the National Center for Education Statistics. Statistical analysis of a subset of these performances ( n = 151) revealed a statistically significant association between ratings and director gender, with male-directed ensembles more likely to receive a “I” rating than female-directed ensembles. However, hierarchical logistic regression revealed that repertoire difficulty and ensemble name were the best predictors of whether an ensemble would receive a “I” rating. Implications include the need to examine why female band directors may choose less difficult repertoire than male directors and to explore strategies for making the secondary band teaching profession more equitable and inclusive.


Sign in / Sign up

Export Citation Format

Share Document