scholarly journals Financial Literacy

2021 ◽  
Vol 9 (3) ◽  
pp. 47-62
Author(s):  
Ahmed Sameer El Khatib
Keyword(s):  
Regression Model ◽  
School Performance ◽  
Financial Literacy ◽  
Cognitive Process ◽  
Weak Dependence ◽  
Low Level ◽  
The Relationship

The present paper explores various approaches to the development of cognitive process dimensions in financial literacy. Applying the regression model, the study has examined the strength of the relationship between the actual financial competence of 413 Brazilian’s students aged 18-21, studying economic disciplines, and their school performance. The research has produced the following conclusions: (a) a weak dependence of actual skills on school performance; (b) inherently associated consequence of school performance is not corresponding to the actual financial skills; (c) a low level of financial competence in the dimensions - Remember, Understand and Apply.

scholarly journals Characteristics of Wintertime Daily Precipitation over the Australian Snowy Mountains

2017 ◽  
Vol 18 (10) ◽  
pp. 2849-2867 ◽  
Author(s):  
Fahimeh Sarmadi ◽  
Yi Huang ◽  
Steven T. Siems ◽  
Michael J. Manton
Keyword(s):  
Regression Model ◽  
Clustering Algorithm ◽  
Heavy Rain ◽  
Surface Precipitation ◽  
Low Level ◽  
Highly Nonlinear ◽  
Additional Input ◽  
Moderate Resolution ◽  
Model Output Statistics ◽  
The Relationship

Abstract The relationship between orographic precipitation, low-level thermodynamic stability, and the synoptic meteorology is explored for the Snowy Mountains of southeast Australia. A 21-yr dataset (May–October, 1995–2015) of upper-air soundings from an upwind site is used to define synoptic indicators and the low-level stability. A K-means clustering algorithm was employed to classify the daily meteorology into four synoptic classes. The initial classification, based only on six synoptic indicators, distinctly defines both the surface precipitation and the low-level stability by class. Consistent with theory, the wet classes are found to have weak low-level stability, and the dry classes have strong low-level stability. By including low-level stability as an additional input variable to the clustering method, statistically significant correlations were found between the precipitation and the low-level stability within each of the four classes. An examination of the joint PDF reveals a highly nonlinear relationship; heavy rain was associated with very weak low-level stability, and conversely, strong low-level stability was associated with very little precipitation. Building on these historical relationships, model output statistics (MOS) from a moderate resolution (12-km spatial resolution) operational forecast were used to develop stepwise regression models designed to improve the 24-h forecast of precipitation over the Snowy Mountains. A single regression model for all days was found to reduce the RMSE by 7% and the bias by 75%. A class-based regression model was found to reduce the overall RMSE by 30% and the bias by 85%.

Using The Fully Modified M Method In Estimating The Effect Of Cultivated Area On Barley Production In Iraq For The Period 1970-2018

2020 ◽  
Vol 2020 (66) ◽  
pp. 101-110
Author(s):  
. Azhar Kadhim Jbarah ◽  
Prof Dr. Ahmed Shaker Mohammed
Keyword(s):  
Regression Model ◽  
Moving Average ◽  
Estimation Method ◽  
Estimation Methods ◽  
Autoregressive Moving Average ◽  
Moving Average Models ◽  
Error Terms ◽  
Relationship Of ◽  
The Relationship ◽  
Barley Crop

The research is concerned with estimating the effect of the cultivated area of barley crop on the production of that crop by estimating the regression model representing the relationship of these two variables. The results of the tests indicated that the time series of the response variable values is stationary and the series of values of the explanatory variable were nonstationary and that they were integrated of order one ( I(1) ), these tests also indicate that the random error terms are auto correlated and can be modeled according to the mixed autoregressive-moving average models ARMA(p,q), for these results we cannot use the classical estimation method to estimate our regression model, therefore, a fully modified M method was adopted, which is a robust estimation methods, The estimated results indicate a positive significant relation between the production of barley crop and cultivated area.

The Impact of Financial Literacy on Financial Preparedness for Retirement in the Small and Medium Enterprises Sector in Uganda

2020 ◽  
Vol 9 (3) ◽  
pp. 26-41
Author(s):  
Colin Agabalinda ◽  
Alain Vilard Ndi Isoh
Keyword(s):  
Financial Literacy ◽  
Small And Medium Enterprises ◽  
Group Analysis ◽  
Moderating Effect ◽  
Primary Data ◽  
Retirement Preparedness ◽  
Medium Enterprises ◽  
The Impact ◽  
The Relationship ◽  
Effect Of Age

The study investigated the direct effects of financial literacy (knowledge, skills, and attitudes) on financial preparedness for retirement and the moderating effect of age among the small and medium enterprises in Uganda. Primary data was collected from a sample of n = 380 selected from the SME workforce. Descriptive analysis was run on SPSS, while validity and reliability of the measurement items yielded satisfactory composite reliability scores and average variance explained (AVE) scores for all items. Structural equation modelling (SEM) was used to test the hypotheses and multi-group analysis conducted to test for the moderating effect of age on the relationship between financial literacy and retirement preparedness. The results revealed that knowledge and skills were significant predictors of retirement preparedness. However, ‘attitude' was not a significant predictor, and age had no moderating effect on the relationship between the study variables. These findings present practical implications for policymakers and financial educators in a developing country context.

Closing the Knowledge Gap: How Issue Priming Before Presidential Debate Viewing Encourages Learning and Opinion Articulation

2021 ◽  
pp. 000276422110003
Author(s):  
Freddie J. Jennings ◽  
Robert H. Wicks ◽  
Mitchell S. McKinney ◽  
Kate Kenski
Keyword(s):  
Cognitive Process ◽  
Vice President ◽  
Political Knowledge ◽  
Political Sophistication ◽  
Donald Trump ◽  
Presidential Debates ◽  
Cognitive Elaboration ◽  
Priming Condition ◽  
The Relationship ◽  
Presidential Debate

One mechanism by which citizens learn about candidates and issues is through watching presidential debates. Some scholars have raised concerns that these events, however, disproportionately benefit those already high in political knowledge more so than others with lesser knowledge levels. We hypothesize that knowledge begets knowledge because it prompts a constructive cognitive process that results from elaboration and reflection. We test this hypothesis in an experiment that also considers whether issue priming could help mitigate the deficit that those lower in political sophistication have when viewing campaign events. Participants ( N = 543) watched a 9-minute segment focusing on economic issues drawn from the first 2020 presidential debate between President Donald Trump and former Vice President Joseph Biden. Half of the participants were randomly assigned to an issue priming condition and viewed the debate segment after reading a narrative text on economic policy, and the other half read an unrelated text. The study presents a model that reveals the following: (a) cognitive elaboration mediates the relationship between prior political knowledge and learning from a campaign event, (b) providing citizens with background issue–related knowledge produces a similar elaborative effect as did preexisting political knowledge, and (c) participants demonstrate greater political opinion articulation following this enhanced elaboration leading to more learning. The implications for cultivating a knowledgeable democratic electorate are discussed.

scholarly journals Dewey’s Yardstick

SAGE Open ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. 215824401770046 ◽  
Author(s):  
Michael Giamellaro
Keyword(s):  
Learning Outcomes ◽  
Cognitive Process ◽  
Situated Cognition ◽  
Student Experience ◽  
Theory And Practice ◽  
The Other ◽  
Important Link ◽  
Measurable Variable ◽  
The Relationship

Although experience and context are omnibus terms, the relationship between them provides some guidance on how each can be used to inform an understanding of the other. This article presents contextualization, or the degree to which content and context are connected through experience, as a measurable outcome of learning, education, or situated cognition. Contextualization is proposed here as a construct that (a) indicates curricular intention, cognitive process, and learning outcomes; (b) is a measurable variable that can be correlated to measures of learning; (c) is broadly applicable and thus represents a comparison variable across diverse scenarios; and (d) represents an important link between existing theory and practice. A contextualization spectrum framework is proposed to align curricular intentions for student experience to the resulting disposition of knowledge, as connected through contextualization.

Does Managerial Use of Performance Information Matter to Organizational Outcomes?

2021 ◽  
pp. 027507402110488
Author(s):  
Xu Han ◽  
Donald Moynihan
Keyword(s):  
Organizational Performance ◽  
Performance Management ◽  
School Performance ◽  
Public Management ◽  
School Principals ◽  
Organizational Outcomes ◽  
Performance Information ◽  
High Stake ◽  
The Relationship ◽  
Objective Indicators

Public management scholars have made impressive strides in explaining managerial usage of performance information (PI). Does such PI use matter to performance? If so, what types of use make a difference? To answer these questions, we connect managerial self-reported behavior with objective organizational outcomes in Texas schools. We control for lagged comparative school performance and employ inverse probability weighting to mitigate endogeneity concerns. The results show that managerial use of PI is associated with objective indicators of performance, and that the type of use matters. In particular, school principals’ use of PI for strategic planning is positively associated with better high-stake test scores. The findings suggest that maturity of performance management system can shape the relationship between managerial PI use and organizational performance, thereby contributing to a contingency-based understanding of the relationship between performance management and organizational performance.

The Relationship Between the Secondary School Students' Depression States and Their Feelings of Guilt and Shame

2010 ◽  
Vol 20 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Nurten Sargin
Keyword(s):  
Secondary School ◽  
School Performance ◽  
Secondary School Students ◽  
Parental Education ◽  
Personal Information ◽  
Negative Relationship ◽  
Education Level ◽  
School Students ◽  
Education Levels ◽  
The Relationship

AbstractAdolescence is believed to be a highly problematic period when depression is prevalent. This study aims to investigate the relationship between adolescents' depression states and their feelings of guilt and shame in respect to gender, age, school performance and parental education levels. The participants consisted of 187 teenagers; 88 (47.1%) girls and 99 (52.9%) boys. Beck's Depression Inventory (BDI), the Guilt and Shame Scale (GES, Şahin), and a personal information form developed by the researcher were used as instruments. The study found a relationship between guilt and shame, that levels of depression were higher in 17-year-olds, and also that levels of depression, guilt and shame were found to be higher in girls than in boys. There was also a negative relationship seen between increased guilt and shame, and a decrease in mothers' education level.

The relationship between disability and suicide: prospective evidence from the Ten to Men cohort

2018 ◽  
Vol 41 (4) ◽  
pp. 707-713 ◽  
Author(s):  
Allison Milner ◽  
Anne-Marie Bollier ◽  
Eric Emerson ◽  
Anne Kavanagh
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
People With Disabilities ◽  
Cross Sectional ◽  
Longitudinal Cohort ◽  
The Past ◽  
The Relationship

Abstract Background People with disabilities often face a range of social and economic adversities. Evidence suggests that these disadvantages result in poorer mental health. Some research also indicates that people with disabilities are more likely experience thoughts about suicide than people without disability, although most of this research is based on small cross-sectional samples. Methods We explored the relationship between self-reported disability (measured at baseline) and likelihood of reporting thoughts of suicide (measured at follow up) using a large longitudinal cohort of Australian males. A logistic regression model was conducted with thoughts of suicide within the past 12 months (yes or no) as the outcome and disability as the exposure. The models adjusted for relevant confounders, including mental health using the SF-12 MCS, and excluded males who reported thoughts of suicide at baseline. Results After adjustment, there was a 1.48 (95% CI: 0.98–2.23, P = 0.063) increase in the odds of thoughts of suicide among men who also reported a disability. The size of association was similar to that of being unemployed. Conclusions Males reporting disability may also suffer from thoughts of suicide. We speculate that discrimination may be one explanation for the observed association. More research on this topic is needed.

scholarly journals Some Insights Into Financial Literacy Among Undergraduate Students: A Case of Bosnia and Herzegovina

2021 ◽  
Vol 12 (3) ◽  
pp. 103
Author(s):  
Jasmina Okicic ◽  
Meldina Kokorovic Jukan ◽  
Mensur Heric
Keyword(s):  
Undergraduate Students ◽  
Financial Literacy ◽  
Sampling Technique ◽  
Financial Education ◽  
Financial Knowledge ◽  
Financial Behavior ◽  
Financial Attitudes ◽  
Significant Difference ◽  
Financial Behaviour ◽  
The Relationship

The purpose of this research is to provide some insights into financial literacy among undergraduate students focusing primarily on the relationship between financial knowledge, financial attitudes and financial behavior and on possible gender and financial education gap in financial literacy. Using the purposive sampling technique, data collection was carried out from April to June 2020, yielding a sample of 1,046 valid responses. To gain a better understanding of the relationship between financial behaviour, financial attitudes and financial knowledge, we, primarily, use exploratory factor analysis and multiple regression model. The research findings have revealed several important issues. First, findings have suggested that financial knowledge, financial attitudes and gender may be considered as an antecedent of the financial behaviour of undergraduate students. Second, findings have also suggested a statistically - significant difference between the financial literacy of undergraduate students concerning their exposure to formal financial education.

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