Thailand has a high share of low achievers and a low share of high performers in reading

2006 ◽  
Vol 20 (2) ◽  
pp. 68-78 ◽  
Author(s):  
Sibylle Heinze ◽  
Gudrun Sartory ◽  
Bernhard W. Müller ◽  
Armin de Greiff ◽  
Michael Forsting ◽  
...  

Neuroimaging studies have indicated involvement of left prefrontal cortex and temporal areas in verbal memory processes. The current study used event-related functional neuroimaging to compare encoding of subsequently recalled and not recalled words in high and low memory performers. Fifteen healthy volunteers were given lists of words to learn with immediate recall and to read as a control condition. High performers reported to have visualized the words whereas low performers used a rehearsal strategy. Compared to reading, unsuccessful encoding was associated with thalamic and left premotor area (BA 6) activity. Comparing successful with unsuccessful learning yielded widespread activity of the left prefrontal and posterior temporal gyrus as well as the left superior parietal lobe in the whole group. Low performers showed activation of the left premotor area throughout learning and additionally of the left middle temporal and parahippocampal gyrus during successful encoding. High performers showed increased activation in the extrastriate cortex throughout learning and additionally in the left parietal post- and paracentral areas as well as in the right precuneus during successful encoding. The results suggest that high verbal memory performance is the result of spatiovisual activation concomitant to imagery and low performance of hippocampal and motor activation, the latter being associated with rehearsal, with a common memory circuit subserving both groups.


2000 ◽  
Vol 16 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Padeliadu Susana ◽  
Georgios D. Sideridis

Abstract This study investigated the discriminant validation of the Test of Reading Performance (TORP), a new scale designed to evaluate the reading performance of elementary-school students. The sample consisted of 181 elementary-school students drawn from public elementary schools in northern Greece using stratified random procedures. The TORP was hypothesized to measure six constructs, namely: “letter knowledge,” “phoneme blending,” “word identification,” “syntax,” “morphology,” and “passage comprehension.” Using standard deviations (SD) from the mean, three groups of students were formed as follows: A group of low achievers in reading (N = 9) including students who scored between -1 and -1.5 SD from the mean of the group. A group of students at risk of reading difficulties (N = 6) including students who scored between -1.5 and -2 SDs below the mean of the group. A group of students at risk of serious reading difficulties (N = 6) including students who scored -2 or more SDs below the mean of the group. The rest of the students (no risk, N = 122) comprised the fourth group. Using discriminant analyses it was evaluated how well the linear combination of the 15 variables that comprised the TORP could discriminate students of different reading ability. Results indicated that correct classification rates for low achievers, those at risk for reading problems, those at risk of serious reading problems, and the no-risk group were 89%, 100%, 83%, and 97%, respectively. Evidence for partial validation of the TORP was provided through the use of confirmatory factor analysis and indices of sensitivity and specificity. It is concluded that the TORP can be ut ilized for the identification of children at risk for low achievement in reading. Analysis of the misclassified cases indicated that increased variability might have been responsible for the existing misclassification. More research is needed to determine the discriminant validation of TORP with samples of children with specific reading disabilities.


2014 ◽  
Author(s):  
Veronica Yan ◽  
Victor Sungkhasettee ◽  
Kou Murayama ◽  
Alan Castel
Keyword(s):  

e-Finanse ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 45-58
Author(s):  
Marzanna Poniatowicz ◽  
Agnieszka Piekutowska

AbstractThe aim of the paper is to analyse the effects of economic immigration on subnational government finance (SNG) in Poland. The goal to achieve is to answer the following research question: what are the fiscal effects of immigration on SNG budget revenues and expenditures. To answer this question, logarithmic models were developed. The analysis refers to the years 2007-2016. In this respect, data from Statistics Poland - referring to budget revenues and expenditures of communes, cities of district status, districts and voivodeships - were used. As far as immigration statistics are concerned, data from the Ministry of Family, Labour and Social Policy were used. The results indicate an increase in both revenues and expenditures of SNG as a result of immigration. Such results can be explained inter alia by the nature of migration - research were focused on economic immigration. Results confirm that the level of employment of foreigners is one of the determinants shaping the fiscal effect of immigration. Moreover, the impact of economic immigration on SNG budget revenues and expenditures depends on the structure of this budget. This explains the differentiated results of the analysis of the impact of immigration on SNG in different countries. The positive correlation between immigration and SNG revenues in Poland can be associated with a high share of subnational governments in personal income tax revenues as this tax is one of the main categories of SNG revenues. Furthermore, results show that the impact of immigration on local government budgets in Poland is modest. This confirms the conclusions drawn by other authors (e.g. Auerbach and Oreopoulos), that in the long term, immigration cannot be considered as a potential instrument for resolving fiscal imbalances.


Author(s):  
Roy Wigzell ◽  
Saif Al-Ansari
Keyword(s):  

2018 ◽  
Vol 169 (5) ◽  
pp. 260-268 ◽  
Author(s):  
Thomas Wohlgemuth ◽  
Violette Doublet ◽  
Cynthia Nussbaumer ◽  
Linda Feichtinger ◽  
Andreas Rigling

Vegetation shift in Scots pine forests in the Valais accelerated by large disturbances In the past dozen years, several studies have concluded a vegetation shift from Scots pine to oak (pubescent and sessile) forests in the low elevated zones of the Valais. It is, however, not fully clear in which way such a vegetation shift actually occurs and on which processes such a shift would be based. Two studies, one on the tree demography in the intact Pfynwald and the other on the tree regeneration on the large Leuk forest fire patch, serve to discuss different aspects of the shift from Scots pine to oak. The forest stands of Pfynwald consist of 67% Scots pines and 14% oaks. Regenerating trees are 2–3.5 times more frequent in small gaps than under canopy. In gaps of the Upper Pfynwald, seedlings and saplings of Scots pine are three times more abundant than oaks, while both species regenerate in similar quantities under canopy. In the Lower Pfynwald, young oaks – especially seedlings – are more frequent than Scots pines. A different process is going on at the lower part in the Leuk forest fire patch where Scots pines prevailed before the burn of 2003. While Scots pines regenerate exclusively close to the edge of the intact forest, oaks not only resprout from trunk but also profit from unlimited spreading of their seeds by the Eurasian jay. Regeneration from seeds are hence observed in the whole studied area, independent of the proximity of seed trees. After the large fire disturbance, a mixed forests with a high share of oaks is establishing, which translates to a rapid vegetation shift. The two trajectories are discussed in the light of climate change.


Author(s):  
Agnes Andersson Djurfeldt ◽  
Fred Mawunyo Dzanku ◽  
Aida Cuthbert Isinika

Smallholder-friendly messages, albeit not always translated into action, returned strongly to the development agenda over a decade ago. Smallholders’ livelihoods encompass social and economic realities outside agriculture, however, providing opportunities as well as challenges for the smallholder model. While smallholders continue to straddle the farm and non-farm sectors, the notion of leaving agriculture altogether appears hyperbolic, given the persistently high share of income generated from agriculture noted in the Afrint dataset. Trends over the past fifteen years can be broadly described as increasing dynamism accompanied by rising polarization. Positive trends include increased farm sizes, rising grain production, crop diversification, and increased commercialization, while negative trends include stagnation of yields, persistent yield gaps, gendered landholding inequalities, gendered agricultural asset inequalities, growing gendered commercialization inequalities, and an emerging gender gap in cash income. Regional nuances in trends reinforce the need for spatial contextualization of linkages between the farm and non-farm sectors.


2021 ◽  
Vol 13 (14) ◽  
pp. 7894
Author(s):  
Gabriela Neagu ◽  
Muhammet Berigel ◽  
Vladislava Lendzhova

This paper examines the perspectives of rural NEETs in the information society. Our analysis focuses on the situation of three European countries—Bulgaria, Romania, and Turkey—characterized by a high share of rural areas and a population of NEETs. From a methodological point of view, we use alternative research methods (secondary data analysis) with statistical methods (simple linear regression). From a theoretical point of view, we will opt for a multidimensional analysis perspective: the theory of digital divide, digital inclusion, virtual mobility, etc. Through data analysis, we expect to obtain a more complete and detailed picture of the ICT situation in rural areas (level of digital skills, level of digital inclusion) to demonstrate the importance of ICT in optimizing virtual mobility for the living conditions of the population, especially the NEET population.


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