scholarly journals Impact Assessment of Devolution Paradigm in Primary Education Sector: Policy Initiatives and Budgetary Allocations in Punjab Province

2019 ◽  
Vol 2 (2) ◽  
pp. 113-124
Author(s):  
Raheel Abbas ◽  
Muhammad Asghar ◽  
Rashid Saeed
Keyword(s):  
Multivariate Analysis ◽  
Content Analysis ◽  
Discriminant Analysis ◽  
Education Policy ◽  
Primary Education ◽  
Education Sector ◽  
Policy Initiatives ◽  
Policy Interventions ◽  
Punjab Province ◽  
The Impact

The study aims to empirically testify the devolution intervention in the budgetary allocations of the primary education sector of the Punjab province. It addresses the question; whether devolution intervention has an impact on primary education policy and input indicators or not? This study is based on Content Analysis to derive a meaningful conclusion about policy interventions. The budgetary interventions are verified by Multivariate Analysis of Variance (MANOVA) and Descriptive Discriminant Analysis (DDA) to measure the impact of devolution intervention. The analysis shows that there is no mere shift in policy initiatives and budgetary allocations. However, the primary education sector is relatively better as compared to the pre-devolution period but still, a lot of interventions are required for further improvement.  

Policy Coherence for Development

2014 ◽  
pp. 213-232
Author(s):  
Bruno Lule Yawe
Keyword(s):  
Education Policy ◽  
Primary Education ◽  
School System ◽  
Presidential Elections ◽  
Education Level ◽  
Education Sector ◽  
Universal Primary Education ◽  
Health In All Policies ◽  
Policy Coherence ◽  
Initial Decrease

The elimination of school fees at Uganda's primary education level was accelerated by the 1996 first direct presidential elections. Since the inception of the universal primary education in 1996 and its actual operationalization in 1997, universal primary education is synonymous with primary education. Because school fees were eliminated before infrastructural improvements in the school system had been undertaken, the access shock created by the elimination of fees resulted in a substantial initial decrease in resources available per pupil and a large increase in the pupil-teacher ratio. The purpose of this chapter is to identify the policy incoherencies as well as research or knowledge gaps relating to Uganda's primary education. Nevertheless, what happens in other sectors outside the education sector has strong implications for the realization of the universal primary education objectives. Uganda's universal primary education policy is being undermined by policies within the education sector and policies in other sectors. As such, there is need to mainstream universal primary education into all relevant sectoral policies using the Education-In-All-Policies Approach, which would be in the nature of the Health-In-All Policies Approach as well as the Gender-In-All-Policies Approach.

The impact of business tourism clustering on the regional economy's development: A Greater Moscow case study

2020 ◽  
Vol 18 (7) ◽  
pp. 1397-1414
Author(s):  
K.S. Golondarev
Keyword(s):  
Multivariate Analysis ◽  
The State ◽  
Investment Climate ◽  
Private Investors ◽  
The Impact

Subject. This article explores the issues of business tourism clustering in Greater Moscow. Objectives. The article intends to justify the need to create a business tourism cluster in Greater Moscow to improve the investment climate in the region. Methods. For the study, I used a multivariate analysis, forecasting, and extrapolation. Results. The article shows a certain relationship between the efficient functioning of the business tourism cluster and the economy's development. Conclusions and Relevance. Certain types of tourist clusters can serve as platforms for attracting investors and implementing marketing plans. The business tourism cluster is a link between buyers and sellers in various industries. The results of the study can be used to improve the effectiveness of the cluster initiative in business tourism, as well as find ways of cooperation between the State and private investors when creating the business tourism cluster in Greater Moscow.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

The Impact of New Labour's Education Policy on Teachers and Teaching at Key Stage 2

FORUM ◽  
2006 ◽  
Vol 48 (2) ◽  
pp. 145 ◽  
Author(s):  
ROSEMARY WEBB ◽  
GRAHAM VULLIAMY
Keyword(s):  
Education Policy ◽  
The Impact

Taking Aim at Attack Advertising

2019 ◽  
Author(s):  
Kim Fridkin ◽  
Patrick Kenney
Keyword(s):  
Content Analysis ◽  
Focus Groups ◽  
Survey Data ◽  
Data Sources ◽  
Empirical Validation ◽  
Negative Campaigning ◽  
Senate Elections ◽  
Campaign Messages ◽  
Negative Messages ◽  
The Impact

This book develops and tests the “tolerance and tactics theory of negativity.” The theory argues that citizens differ in their tolerance of negative campaigning. Also, candidates vary in the tactics used to attack their opponents, with negative messages varying in their relevance to voters and in the civility of their tone. The interplay between citizens’ tolerance of negativity and candidates’ negative messages helps clarify when negative campaigning will influence citizens’ evaluations of candidates and their likelihood of voting. A diverse set of data sources was collected from U.S. Senate elections (e.g., survey data, experiments, content analysis, focus groups) across several years to test the theory. The tolerance and tactics theory of negativity receives strong empirical validation. First, people differ systematically in their tolerance for negativity, and their tolerance changes over the course of the campaign. Second, people’s levels of tolerance consistently and powerfully influence how they assess negative messages. Third, the relevance and civility of negative messages consistently influence citizens’ assessments of candidates competing for office. That is, negative messages focusing on relevant topics and utilizing an uncivil tone produce significant changes in people’s impressions of the candidates. Furthermore, people’s tolerance of negativity influences their susceptibility to negative campaigning. Specifically, relevant and uncivil messages are most influential for people who are least tolerant of negative campaigning. The relevance and civility of campaign messages also alter people’s likelihood of voting, and the impact of negative messages on turnout is more consequential for people with less tolerance of negativity.

scholarly journals Assessment of the impact of an opioid-specific education series on rates of medication-assisted treatment for opioid use disorder in veterans

2020 ◽  
Author(s):  
Taylor Kirby ◽  
Robert Connell ◽  
Travis Linneman
Keyword(s):  
Multivariate Analysis ◽  
Hospital Admission ◽  
Intervention Group ◽  
Opioid Use Disorder ◽  
Control Group ◽  
Opioid Use ◽  
Motivation To Change ◽  
Heroin Use ◽  
Ed Visits ◽  
The Impact

Abstract Purpose The impact of a focused inpatient educational intervention on rates of medication-assisted therapy (MAT) for veterans with opioid use disorder (OUD) was evaluated. Methods A retrospective cohort analysis compared rates of MAT, along with rates of OUD-related emergency department (ED) visits and/or hospital admission within 1 year, between veterans with a diagnosis of OUD who completed inpatient rehabilitation prior to implementation of a series of group sessions designed to engage intrinsic motivation to change behavior surrounding opioid abuse and provide education about MAT (the control group) and those who completed rehabilitation after implementation of the education program (the intervention group). A post hoc, multivariate analysis was performed to evaluate possible predictors of MAT use and ED and/or hospital readmission, including completion of the opioid series, gender, age (>45 years), race, and specific prior substance(s) of abuse. Results One hundred fifty-eight patients were included: 95 in the control group and 63 in the intervention group. Rates of MAT were 25% (24 of 95 veterans) and 75% (47 of 63 veterans) in control and intervention groups, respectively (P < 0.01). Gender, completion of the opioid series, prior heroin use, and marijuana use met prespecified significance criteria for inclusion in multivariate regression modeling of association with MAT utilization, with participation in the opioid series (odds ratio [OR], 9.56; 95% confidence interval [CI], 4.36-20.96) and prior heroin use (OR, 3.26; 95% CI, 1.18-9.01) found to be significant predictors of MAT utilization on multivariate analysis. Opioid series participation and MAT use were independently associated with decreased rates of OUD-related ED visits and/or hospital admission (hazard ratios of 0.16 [95% CI, 0.06-0.44] and 0.32 [95% CI, 0.14-0.77], respectively) within 1 year after rehabilitation completion. Conclusion Focused OUD-related education in a substance abuse program for veterans with OUD increased rates of MAT and was associated with a decrease in OUD-related ED visits and/or hospital admission within 1 year.

scholarly journals Relative Frequency and Risk Factors of COVID-19 Related Headache in a Sample of Egyptian Population: A Hospital-Based Study

Pain Medicine ◽  
2021 ◽  
Author(s):  
Mona Hussein ◽  
Wael Fathy ◽  
Ragaey A Eid ◽  
Hoda M Abdel-Hamid ◽  
Ahmed Yehia ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Platelet Count ◽  
Relative Frequency ◽  
Clinical Laboratory ◽  
Primary Headache ◽  
Female Gender ◽  
Imaging Data ◽  
Laboratory Findings ◽  
Neutrophil Lymphocyte Ratio ◽  
The Impact

Abstract Objectives Headache is considered one of the most frequent neurological manifestations of coronavirus disease 2019 (COVID-19). This work aimed to identify the relative frequency of COVID-19-related headache and to clarify the impact of clinical, laboratory findings of COVID-19 infection on headache occurrence and its response to analgesics. Design Cross-sectional study. Setting Recovered COVID-19 patients. Subjects In total, 782 patients with a confirmed diagnosis of COVID-19 infection. Methods Clinical, laboratory, and imaging data were obtained from the hospital medical records. Regarding patients who developed COVID-19 related headache, a trained neurologist performed an analysis of headache and its response to analgesics. Results The relative frequency of COVID-19 related headache among our sample was 55.1% with 95% confidence interval (CI) (.516–.586) for the estimated population prevalence. Female gender, malignancy, primary headache, fever, dehydration, lower levels of hemoglobin and platelets and higher levels of neutrophil/lymphocyte ratio (NLR) and CRP were significantly associated with COVID-19 related headache. Multivariate analysis revealed that female gender, fever, dehydration, primary headache, high NLR, and decreased platelet count were independent predictors of headache occurrence. By evaluating headache response to analgesics, old age, diabetes, hypertension, primary headache, severe COVID-19, steroid intake, higher CRP and ferritin and lower hemoglobin levels were associated with poor response to analgesics. Multivariate analysis revealed that primary headache, steroids intake, moderate and severe COVID-19 were independent predictors of non-response to analgesics. Discussion Headache occurs in 55.1% of patients with COVID-19. Female gender, fever, dehydration, primary headache, high NLR, and decreased platelet count are considered independent predictors of COVID-19 related headache.

Developing Pragmatic Competence in English Academic Discussions: An EAP Classroom Investigation

2020 ◽  
Vol 16 (1) ◽  
pp. 123-152
Author(s):  
Marcella Caprario
Keyword(s):  
Content Analysis ◽  
Listening Comprehension ◽  
English For Academic Purposes ◽  
Reflective Writing ◽  
Pragmatic Competence ◽  
Missed Opportunities ◽  
Self Reflection ◽  
And Performance ◽  
Communication Breakdowns ◽  
The Impact

AbstractThis qualitative classroom study investigated the development of pragmatic competence in academic discussions through content analysis of student reflective writing. The aims of the study were: to understand the greatest challenges that students faced during the learning process, the causes of those challenges, and the most successful strategies that students employed to overcome the challenges. In addition, the analysis investigated other significant themes in the reflective writing that related to the students’ experiences in developing their pragmatic competence in discussions. Five advanced English for Academic Purposes (EAP) students at a Sino-US institution in China participated over the course of a semester. Results showed that common challenges included: hesitation resulting in missed opportunities to speak, lack of clarity when speaking, inability to repair communication breakdowns, and difficulty with listening comprehension. Self-reflection allowed the learners to understand the various reasons for the challenges they faced and to develop appropriate pragmalinguistic and sociopragmatic strategies for coping with them. It also enabled the instructor to make suggestions suited to learners’ specific needs. In addition to revealing specific challenges, causes, and strategies that students employed, themes that emerged through content analysis included the impact of students’ emotional lives on their learning and performance, as well as the value of authentic communication in the development of pragmatic competence for academic discussions. This exploratory classroom investigation provides suggestions for teaching pragmatic competence in academic discussions and for additional classroom explorations that empower learners to develop autonomy.

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