scholarly journals Is using ICT at home good or bad for learning? A cross-country comparison of the impact of home use of ICT for entertainment and learning on PISA 2015 Science test results

2020 ◽  
Author(s):  
Adrian Hatos
Keyword(s):  
Regression Models ◽  
Large Body ◽  
Test Results ◽  
Research Results ◽  
Ict Use ◽  
Country Level ◽  
Science Test ◽  
Cross Country ◽  
The Impact ◽  
At Home

There is much contradiction in the results of recent research results concerning the impact of ICT home use by students on learning. Despite the availability of the large body of data from the PISA 2015 survey in which respondents from 47 countries answered the ICT use modules, the research results are still far from conclusive either. Consequently, the purpose of the present research is to explore the cross-country variation of the impact of ICT use at home for entertainment and for learning on the Science test results obtained by students in PISA 2015. More specifically, linear regression models of PISA 2015 Science test results at country-level will be ran, then the variations in betas of the regression models for the 47 countries will be statistically investigated including correlations with other presumably important country-level descriptors. The main conclusions are that is erroneous to expect for positive or negative general effects, as most probably they depend on country-level features, and that the impact of home use, for learning and for entertainment respectively, of ICT are in a kind of homeopathic negative cross-country relationship.

scholarly journals Physiological Aspects of Different Roller Skiing Techniques in Field Conditions

2019 ◽  
Vol 66 (1) ◽  
pp. 111-120
Author(s):  
Michał Starczewski ◽  
Piotr Żmijewski ◽  
Katarzyna Witek ◽  
Andrzej Klusiewicz
Keyword(s):  
Physical Capacity ◽  
Field Conditions ◽  
Treadmill Running ◽  
Maximal Velocity ◽  
Test Results ◽  
Threshold Values ◽  
Threshold Velocity ◽  
Cross Country ◽  
Field And Laboratory Conditions ◽  
The Impact

AbstractThe main goal of the study was to evaluate the impact of different roller skiing techniques (classical CT and skating ST) performed under field conditions on physical capacity variables in cross-country skiers. The second purpose was to evaluate the possibility to use the test results conducted under field and laboratory conditions interchangeably to determine training loads. Eight international-level cross-country skiers (4 male, 4 female) with 8.8 ± 1.3 years of skiing experience took part in the study. The athletes performed three graded tests to exhaustion: two under field conditions (roller skiing CT and ST techniques) and one in the laboratory: treadmill running (TR). All tests were conducted within a period of two weeks to compare general and specific physical capacity outcomes. ANOVA demonstrated significant differences in the threshold heart rate (HRAT4) (ST 175.3 ± 10.8 bpm, CT 175.8 ± 10.9 bpm, TR 181.5 ± 11.1 bpm; p = 0.004), maximal oxygen uptake (VO2max) (ST 64.0 ± 4.65 ml/kg/min, CT 61.5 ± 5.09 ml/kg/min, TR 65.9 ± 2.30 ml/kg/min; p = 0.008) and maximal HR (ST 189.3 ± 10.9 bpm, CT 188.9 ± 10.6 bpm, TR 199.5 ± 10.3 bpm; p = 0.002). No significant differences were observed between classical and skating roller skiing techniques for maximal and threshold values except for threshold velocity (CT 13.4 ± 1.11 km/h vs. ST 14.7 ± 1.17 km/h p = 0.002). Maximal velocity was not measured. The main finding of the study is that it is possible to use threshold HR values obtained in roller skiing tests performed using the classical or skating techniques interchangeably to determine roller skiing training loads. The results of the study indicate that there is a need to verify maximal treadmill running exertion variables in specific roller skiing tests.

scholarly journals THE IMPACT OF AT-HOME ANTI-MÜLLERIAN HORMONE TEST RESULTS ON EMOTIONS AND PROACTIVE FERTILITY BEHAVIORS

2021 ◽  
Vol 116 (3) ◽  
pp. e110
Author(s):  
Sharon Briggs ◽  
Amber K. Worthington ◽  
Avner Hershlag
Keyword(s):  
Test Results ◽  
The Impact ◽  
At Home

scholarly journals Regulation, Institutions, and Productivity: New Macroeconomic Evidence from OECD Countries

2016 ◽  
Vol 106 (5) ◽  
pp. 109-113 ◽  
Author(s):  
Balázs Égert
Keyword(s):  
Labour Market ◽  
Positive Impact ◽  
Product Market ◽  
Oecd Countries ◽  
Country Level ◽  
Cross Country ◽  
Innovation Intensity ◽  
The Impact ◽  
Trade And Investment

This paper seeks to understand the drivers of country-level multi-factor productivity (MFP) with a special emphasis on product and labour market policies and the quality of institutions. For a panel of OECD countries, we find that anticompetitive product market regulations reduce MFP levels and that higher innovation intensity and greater openness result in higher MFP. We also find that the impact of product market regulations on MFP may depend on the level of labour market regulations. Better institutions, a more business friendly environment and lower barriers to trade and investment amplify the positive impact of R&D spending on MFP. Finally, we also show that cross-country MFP variations can be explained to a considerable extent by cross-country variation in labour market regulations, barriers to trade and investment and institutions.

scholarly journals Projection of Cotton Warehouse Facilities for Oklahoma: A Markov Process

1975 ◽  
Vol 7 (1) ◽  
pp. 179-184
Author(s):  
O. A. Cleveland ◽  
Michael S. Salkin
Keyword(s):  
Markov Process ◽  
Government Policies ◽  
Technological Advancement ◽  
Market Conditions ◽  
Research Results ◽  
Synthetic Fibers ◽  
Competitive Strength ◽  
The Impact ◽  
Industry Experience ◽  
At Home

The cotton industry's decline in competitive strength is a matter of increasing concern to industry members and public policymakers. There are many complex economic adjustments arising from changes in government policies, technological advancement, and changing market conditions at home and abroad. The impact of these factors, coupled with increased competition of synthetic fibers and foreign-grown cotton, has been felt by all segments of the industry. Industry experience and recent research results [1, 3] indicate that serious overcapacity has developed in warehousing facilities and, as a consequence, producers and consumers have suffered through increased per-bale storage and assembly costs.

scholarly journals Quantifying the impact of COVID-19 on e-bike safety in China via multi-output and clustering-based regression models

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256610
Author(s):  
Xingpei Yan ◽  
Zheng Zhu
Keyword(s):  
Traffic Safety ◽  
Traffic Congestion ◽  
Regression Models ◽  
Travel Demand ◽  
The Other ◽  
Explanatory Variables ◽  
Safety Issues ◽  
Country Level ◽  
The Impact ◽  
Cluster 2

The impacts of COVID-19 on travel demand, traffic congestion, and traffic safety are attracting heated attention. However, the influence of the pandemic on electric bike (e-bike) safety has not been investigated. This paper fills the research gap by analyzing how COVID-19 affects China’s e-bike safety based on a province-level dataset containing e-bike safety metrics, socioeconomic information, and COVID-19 cases from 2017 to 2020. Multi-output regression models are adopted to investigate the overall impact of COVID-19 on e-bike safety in China. Clustering-based regression models are used to examine the heterogeneous effects of COVID-19 and the other explanatory variables in different provinces/municipalities. This paper confirms the high relevance between COVID-19 and the e-bike safety condition in China. The number of COVID-19 cases has a significant negative effect on the number of e-bike fatalities/injuries at the country level. Moreover, two clusters of provinces/municipalities are identified: one (cluster 1) with lower and the other (cluster 2 that includes Hubei province) higher number of e-bike fatalities/injuries. In the clustering-based regressions, the absolute coefficients of the COVID-19 feature for cluster 2 are much larger than those for cluster 1, indicating that the pandemic could significantly reduce e-bike safety issues in provinces with more e-bike fatalities/injuries.

scholarly journals COVID-19 testing and cases - a complex relationship in three acts.

2020 ◽  
Author(s):  
Claus Heinrich
Keyword(s):  
Regression Models ◽  
Case Fatality ◽  
Test Results ◽  
Linear Regression Models ◽  
Before And After ◽  
German Legislation ◽  
National Test ◽  
The Impact ◽  
The Relationship ◽  
Political Decisions

<p>If and how the increasing numbers in confirmed COVID 19 cases are driven by the simultaneous expansion of test capacities and tests conducted is a question under continuous debate. Building on the hypothesis, that the impact of increased testing might not be constant over time but determined by the national test policy applied, the relationship between testing and number of cases was investigated in different phases of the pandemic with a focus on the time before and after a change in German legislation on May 22, 2020 that opened the door for more tests in asymptomatic persons for prevention and containment purposes. Based on linear regression models it is estimated that about 60% of the cases tested positive after May 22 can be attributed to increased testing, while eliminating the test effect does not substantially impact the numbers before that date. Likewise, the clinical presentation of cases registered after May 22 is significantly different, with a hospitalization rate of 8.12% (before 18.17%) and a case fatality rate of 0.63% (before 5.17%).</p> <p>It is concluded that expanding the number of tests as it was done in Germany did not lead to a better understanding of the epidemiology of COVID 19. It is recommended to separate test results from preventive testing and testing based on a clinically defined test strategy, and to only use the latter for surveillance and as a basis for political decisions.</p>

Releases From a Local Jail: The Impact of Visitation on Recidivism

2020 ◽  
pp. 088740342091948 ◽  
Author(s):  
William M. Casey ◽  
Jennifer E. Copp ◽  
William D. Bales
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Large Body ◽  
Current Investigation ◽  
Research Attention ◽  
Logistic Regression Models ◽  
Local Jail ◽  
Number Of Visits ◽  
Using Data ◽  
The Impact

There is a large body of research that examines the impact of visitation on the likelihood of recidivism among released state prisoners. That research reveals that receiving any visits, and a greater number of visits, reduces the likelihood of recidivism. However, whether the recidivism-reducing effect of visitation operates within the jail setting remains unclear. Using data from a Florida jail, the current investigation examines the association between visitation and recidivism among a cohort of releases ( N = 6,565). Analyses also consider the extent to which the frequency of visits impacts the likelihood of recidivism. Findings from a series of logistic regression models reveal that inmates who received visits were no less likely to recidivate than their counterparts. Yet, among inmates who were visited, those receiving more frequent visits were less likely to recidivate. This departs from existing visitation research and underscores the importance of directing research attention to local jails.

Communication technology in international business-to-business relationships

2014 ◽  
Vol 29 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Cristian Chelariu ◽  
Talai Osmonbekov
Keyword(s):  
Communication Technology ◽  
Information Exchange ◽  
Business Relationships ◽  
Firm Level ◽  
Content Type ◽  
Ict Use ◽  
Country Level ◽  
The Impact ◽  
Business To Business ◽  
E Mail

Purpose – This study aims to examine the antecedents and performance consequences of three types of communication technology (phone, e-mail and internet) in cross-border business-to-business relationships. Design/methodology/approach – Based on the proposed theoretical framework six hypotheses are advanced and tested. The authors use regression analysis on data from a survey of American exporters combined with secondary data on emerging European markets. Findings – This research finds that relationship-level variables are better predictors of ICT use than country-level variables, and that ICT use impacts dyadic performance. More specifically, information exchange predicted all three communication modes, while the use of warnings predicted both inter-personal communication methods. From an institutional standpoint, the authors find that bureaucratic barriers predict both phone and e-mail communication. At the firm level, it is found that firm-level technological skills are a significant predictor for the use of internet-based data exchange. The paper also finds that increased frequency of phone and e-mail communication among dyadic partners improves performance. Research limitations/implications – Although micro-level variables are found to be more important, country variables still bring interesting insights and should not be ignored. Also, newer technologies should be explored in future research. Originality/value – The authors explore antecedents of information/communication technology (ICT) use at three levels: country or macro level, dyadic (or inter-firm relationship) level, and firm capabilities (intra-firm). At the country level, the authors move beyond infrastructure to examine the impact of institutional factors, such as government red tape. At the relationship level, the authors include trust-type social norms, but extend the analysis to incorporate the use of unilateral influence attempts, such as warnings.

scholarly journals The Impact of GDP on Cross-Country Efficiency in Wealth Maximization: a Joint Analysis Through the Stochastic Frontier and Generalized Method of Moments

2021 ◽  
pp. 101-127
Author(s):  
Harun Or Rosid ◽  
Zhao Xuefeng ◽  
Sk Alamgir Hossain ◽  
Mohammad Raihanul Hasan ◽  
Reza Sultanuzzaman
Keyword(s):  
Regression Models ◽  
Robust Regression ◽  
Negative Impact ◽  
Generalized Method Of Moments ◽  
Stochastic Frontier ◽  
Joint Analysis ◽  
Frontier Analysis ◽  
Wealth Maximization ◽  
Cross Country ◽  
The Impact

Wealth maximization is still the principal objective of a corporation and income plays a pivotal role in this regard. Taking this to the country context, wealth maximization can be a more refined objective alongside GDP growth. Considering GDP as the key wealth maximizer for a nation, the present work was undertaken to determine cross-country wealth efficiency and its determinants based on GDP covariates. The relationship between aggregate net wealth and GDP of 106 different countries for a period of 2009 to 2018 were analyzed to estimate annual incremental wealth efficiency based on their GDP covariates using input-output stochastic frontier analysis (SFA). Further, the determinants of incremental wealth efficiency were identified using multiple regression models. The SFA analysis shows significant negative impact of GDP on wealth maximization efficiency, like the law of diminishing marginal return to scales advocates. With the increase of GDP of a country, its marginal efficiency in wealth maximization decreases though aggregate wealth increases. The robust regression models show that imports, broad money and exchange rate undermine the wealth efficiency of a country and country’s past efficiency positively influences the subsequent year’s efficiency. These findings are expected to open new horizons for policymakers in policy analyses. JEL classification numbers: E1, E2, F4 Keywords: Wealth Maximization, GDP, SFA, Technical Efficiency, GMM, Driscoll Kraay.

scholarly journals Impact of COVID-19 on Performance of Pakistan Stock Exchange

2020 ◽  
Author(s):  
Shehar Yar Ahmed
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Country Level ◽  
Cross Country ◽  
The Impact

The objective of this study is to determine the impact of COVID-19 on the performance of Pakistani Stock Market. This study uses the data of COVID-19 related positive cases, fatalities, recovers and the closing prices of PSX 100 index of the first half of 2020. The findings of the study suggest that only COVID-19 recoveries are influencing the performance of the index and the daily positive cases and fatalities are insignificantly related to the performance. Further studies can be performed by incorporating other variables such as economic growth, interest rate and inflation rate along with the COVID-19 related variables at a cross-country level.

Sign in / Sign up

Export Citation Format

Share Document