The effect of leadership style and job motivation on the performance of teachers

The main objective of this study is to define and explain the impact on teacher performance of the leadership style of the head of the Madrasah and job motivation simultaneously. Quantitative analysis is this form of study performed in this study. Techniques for qualitative data collection, questionnaires and documentation..“ Using different linear regression models, it was analyzed. With the help of the version 21 SPSS program. A saturated sampling technique was used in this analysis, where all 49 respondents were tested. From the following conclusions, the findings of data processing and interpretation are drawn: The principal's leadership style has a positive and important effect on the performance of teachers. Motivation for work has a positive and meaningful influence on the success of teachers. At the same time, the leadership style of madrasah principals and job motivation have a profound influence on teacher performance.

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Democratic Leadership and Its Impact on Teacher Performance

AL-ISHLAH: Jurnal Pendidikan ◽

10.35445/alishlah.v13i3.990 ◽

2021 ◽

Vol 13 (3) ◽

pp. 1556-1570

Author(s):

Sumardin Raupu ◽

Deswita Maharani ◽

Hilal Mahmud ◽

Alauddin Alauddin

Keyword(s):

Statistical Analysis ◽

Leadership Style ◽

Junior High School ◽

Junior High ◽

Work Motivation ◽

Teacher Performance ◽

Sampling Technique ◽

Democratic Leadership ◽

Ex Post ◽

The Impact

This study looks into the impact of the principal's democratic leadership style on teacher performance in junior high schools in Palopo City's Bara District. This study uses a quantitative approach with the type of research is ex-post facto. The population is all junior high school teachers in the Bara sub-district of Palopo city, totaling 134 people. Sampling was done by simple random sampling technique. The sample used was 39 teachers—data obtained through questionnaires and documentation. Furthermore, the research data were analyzed statistically using data processing, namely: Descriptive statistical analysis and inferential statistical analysis. This study found that the democratic leadership style displayed by the principal has a strong influence and significance on the performance of teachers in SMP/MTs in Bara District, Palopo City. This is because the leadership style displayed by the principal through several indicators can provide a significant enough stimulant to the teacher so that teachers' work motivation can increase adequately, which impacts the achievement of educational and learning goals in schools. This study implies the importance of the leadership style displayed by the principal in building teacher motivation and commitment in schools to generate optimal teacher performance in schools.

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FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

Journal of Business Economics ◽

10.35760/eb.2018.v23i1.1812 ◽

2018 ◽

Vol 23 (1) ◽

pp. 60-71

Author(s):

Wigiyanti Masodah

Keyword(s):

Interest Rate ◽

Linear Regression ◽

Interest Rates ◽

Regression Models ◽

Linear Regression Models ◽

Negative Impacts ◽

Main Activity ◽

The Impact ◽

The Given ◽

Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

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Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics ◽

10.3390/math9040299 ◽

2021 ◽

Vol 9 (4) ◽

pp. 299

Author(s):

Jaime Pinilla ◽

Miguel Negrín

Keyword(s):

Linear Regression ◽

Regression Models ◽

Linear Trend ◽

Generalized Additive Models ◽

Additive Models ◽

Linear Regression Models ◽

Non Linear ◽

Nonlinear Trends ◽

The Impact ◽

Non Parametric

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis. However, they assume a linear trend that may not be appropriate in many situations. In this paper, we show how generalized additive models (GAMs), a non-parametric regression-based method, can be useful to accommodate nonlinear trends. An analysis with simulated data is carried out to assess the performance of both models. Data were simulated from linear and non-linear (quadratic and cubic) functions. The results of this analysis show how GAMs improve on segmented linear regression models when the trend is non-linear, but they also show a good performance when the trend is linear. A real-life application where the impact of the 2012 Spanish cost-sharing reforms on pharmaceutical prescription is also analyzed. Seasonality and an indicator variable for the stockpiling effect are included as explanatory variables. The segmented linear regression model shows good fit of the data. However, the GAM concludes that the hypothesis of linear trend is rejected. The estimated level shift is similar for both models but the cumulative absolute effect on the number of prescriptions is lower in GAM.

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Impact of foreign direct investment on economic growth in the world during 1975–2015

Scientific Messenger of LNU of Veterinary Medicine and Biotechnology ◽

10.32718/nvlvet9106 ◽

2018 ◽

Vol 20 (91) ◽

pp. 28-32

Author(s):

B. B. Brychka

Keyword(s):

Economic Growth ◽

Literature Review ◽

Regression Models ◽

Trade Openness ◽

Positive Influence ◽

Linear Regression Models ◽

Average Value ◽

Gdp Growth Rate ◽

The World ◽

The Impact

The study is concentrated on examination the impact of FDI on economic growth in the World during 1975–2015. The study consists of four consecutive parts, including introduction, literature review, model and methodology, data, empirical results and conclusion. Each part of the study is focused on its own goals. According to the results of the literature review, there is positive influence of FDI on economic growth in various countries. Economic growth is one of the most important goals of any country. The country image on the international level is dependent on its economic power. Economic growth provides an opportunity to improve the living standards in the country. Most researchers conclude that there is a positive influence of FDI on the countries’ economic growth. However, the impact of FDI is strong in developing countries. Moreover, this relationship is stronger in countries with higher educational and technological level, trade openness and development of the countries’ stock markets. Economists often build regression models to estimate the relationship between the variables. In order to find the impact of FDI on economic growth, we are going to apply linear regression models. We take two variables as indicators of the countries’ economic growth, including current GDP expressed in U.S dollars, and annual GDP growth rate. Taking into account that the World’s GDP in current U.S dollar is a factor variable with the mentioned resulting variables, the regression equation looks as follows: The R-squared of the built model is 0.99, indicating that roughly 100% of changes in the World’s GDP is caused by the chosen factors. As it is seen from the SAS output, the residuals of dependent variable and factors variables are distributed normally among its average value. Thus, non-normality is not observed in the model. Taking into account the coefficients of the factor variables, the log GDP is most sensitive to the changes in trade as a percent of GDP. The log GDP is not quite sensitive to the changes in FDI, since the coefficient of 0.000128 means that increasing of FDI by one unit increase the logarithmic value of GDP by $ 0.000128.

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Pengaruh gaya kepemimpinan, budaya sekolah dan motivasi terhadap kinerja guru SMP swasta

Harmoni Sosial Jurnal Pendidikan IPS ◽

10.21831/hsjpi.v6i1.25359 ◽

2019 ◽

Vol 6 (1) ◽

pp. 49-60

Author(s):

Vivi Candra ◽

Acai Sudirman ◽

Pasaman Silaban

Keyword(s):

Middle School ◽

School Culture ◽

Leadership Style ◽

Principal Leadership ◽

Teacher Performance ◽

Principal Leadership Style ◽

Quantitative Descriptive ◽

The Impact ◽

The Relationship ◽

Descriptive Method

Tujuan dari penelitian ini untuk menguji dampak gaya kepemimpinan kepala sekolah, budaya sekolah, dan motivasi terhadap kinerja guru di SMP Swasta Sultan Agung Pematangsiantar. Jumlah anggota populasi adalah 31 orang. Oleh karena itu, penelitian ini menggunakan metode deskriptif kuantitatif dengan menggunakan kuesioner atau sensus. Instrumen penelitian dalam penelitian ini adalah kuesioner yang dibagikan secara langsung kepada responden untuk mencari data yang berhubungan dengan penelitian ini. Metode analisis data yang digunakan adalah analisis kuantitatif dan analisis kualitatif. Hasil penelitian dan hasil pengumpulan data menunjukkan bahwa secara parsial, variabel gaya kepemimpinan kepala sekolah berpengaruh signifikan terhadap kinerja guru, variabel budaya sekolah berpengaruh signifikan terhadap kinerja guru, dan variabel motivasi berpengaruh signifikan terhadap kinerja guru. Temuan empiris tersebut mengindikasikan bahwa untuk meningkatkan kinerja guru, maka SMP Swasta Sultan Agung Pematangsiantar perlu memperhatikan faktor-faktor yang mempengaruhi kinerja guru, seperti kepemimpinan kepala sekolah, budaya sekolah, dan motivasi. Dengan mengetahui pengaruh hubungan tersebut dapat dijadikan sebagai parameter untuk merancang strategi dimasa yang akan datang guna meningkatkan kinerja guru. AbstractThis study aims to examine the impact of principals' leadership style, school culture, and motivation on teacher performance at Sultan Agung Pematangsiantar Middle School. The number of members of the population is 31 people. Therefore, this study uses a quantitative descriptive method using a questionnaire or census. The research instrument in this study is a questionnaire that was distributed directly to respondents to look for data related to this study. The data analysis method used is the quantitative analysis and qualitative analysis. The results of the study and the results of data collection showed that partially, the principal leadership style variable had a significant effect on teacher performance, the school culture variable had a significant effect on teacher performance, and the motivation variable had a significant effect on teacher performance. The empirical findings indicate that to improve teacher performance, Sultan Agung Pematangsiantar Middle School needs to pay attention to the factors that influence teacher performance, such as principals' leadership, school culture, and motivation. Because by knowing the effect of the relationship can be used as a parameter to design a strategy in the future to improve teacher performance.

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Evaluation of determinants of the serological response to the split-inactivated influenza vaccine

10.1101/2021.10.07.21264416 ◽

2021 ◽

Author(s):

Shaohuan Wu ◽

Ted M. Ross ◽

Michael A. Carlock ◽

Elodie Ghedin ◽

Hyungwon Choi ◽

...

Keyword(s):

Influenza Vaccine ◽

Regression Models ◽

Seasonal Influenza ◽

Vaccine Dose ◽

Serological Response ◽

Linear Regression Models ◽

Negative Effects ◽

Categorical Response ◽

One Year ◽

The Impact

AbstractThe seasonal influenza vaccine is only effective in half of the vaccinated population. To identify determinants of vaccine efficacy, we used data from >1,300 vaccination events to predict the response to vaccination measured as seroconversion as well as hemagglutination inhibition (HAI) levels one year after. We evaluated the predictive capabilities of age, body mass index (BMI), sex, race, comorbidities, prevaccination history, and baseline HAI titers, as well as vaccination month and vaccine dose in multiple linear regression models. The models predicted the categorical response for >75% of the cases in all subsets with one exception. Prior vaccination, baseline titer level, and age were the strongest determinants on seroconversion, all of which had negative effects. Further, we identified a gender effect in older participants, and an effect of vaccination month. BMI played a surprisingly small role, likely due to its correlation with age. Comorbidities, vaccine dose, and race had negligible effects. Our models can generate a new seroconversion score that is corrected for the impact of these factors which can facilitate future biomarker identification.

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The role of transformational leadership style, organizational structure and job characteristics in developing psychological empowerment among banking professionals

Journal of Chinese Human Resource Management ◽

10.1108/jchrm-01-2018-0002 ◽

2018 ◽

Vol 9 (2) ◽

pp. 107-122 ◽

Cited By ~ 3

Author(s):

Imran Ahmad Shahzad ◽

Muhammad Farrukh ◽

Nazar OmerAbdallah Ahmed ◽

Li Lin ◽

Nagina Kanwal

Keyword(s):

Transformational Leadership ◽

Leadership Style ◽

Psychological Empowerment ◽

Organization Structure ◽

Sampling Technique ◽

Job Characteristics ◽

Cluster Sampling ◽

Content Type ◽

Bank Managers ◽

The Impact

Purpose The purpose of this paper is to investigate the antecedents of psychological empowerment among bank managers in Beijing, China. Specifically, it aims at investigating the impact of transformational leadership, organization structure and job characteristics on psychological empowerment among banking professionals. Design/methodology/approach Questionnaires were distributed to bank managers in Beijing which were randomly selected through the cluster sampling technique. PLS-SEM was used for analysis to testify the hypotheses. Findings Statistical results showed; transformational leadership, organization structure and job characteristics were directly and positively related to psychological empowerment. Originality/value The proposed model is essential in providing guideline for the development of employees. These recommendations can be adopted by the organizational trainers and human resource personnel for the betterment of their organization.

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The Impact of the Community Built Environment on the Walking Times of Residents in a Community in the Downtown Area of Fuzhou

Sustainability ◽

10.3390/su11030691 ◽

2019 ◽

Vol 11 (3) ◽

pp. 691

Author(s):

Lizhen Zhao ◽

Zhenjiang Shen ◽

Yanji Zhang ◽

Yan Ma

Keyword(s):

Built Environment ◽

Regression Models ◽

Education Level ◽

Linear Regression Models ◽

Downtown Area ◽

Point Of Interest ◽

Independent Variable ◽

And Gender ◽

The Impact ◽

Walking Time

By means of on-site and network investigation, we collected data relevant to residents of communities, point of interest (POI) data, and land-use data of Fuzhou. We set traffic walking time and leisure walking time as an independent variable, built environment as dependent variable, and gender, age, education level and income level as control variables. Six linear regression models were established using Statistical Product and Service Solutions (SPSS). The results showed that in the 5D (i.e., Density, Diversity, Design, Destination and Distance) elements of the built environment, the density was negatively correlated with the traffic walking time, whereas other elements were positively correlated with the walking time, but the degree of influence was different.

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Medication Intake Is Associated with Lower Plasma Carotenoids and Higher Fat-Soluble Vitamins in the Cross-Sectional MARK-AGE Study in Older Individuals

Journal of Clinical Medicine ◽

10.3390/jcm9072072 ◽

2020 ◽

Vol 9 (7) ◽

pp. 2072

Author(s):

Daniela Weber ◽

Bastian Kochlik ◽

Wolfgang Stuetz ◽

Martijn E. T. Dollé ◽

Eugène H. J. M. Jansen ◽

...

Keyword(s):

Regression Models ◽

Plasma Concentrations ◽

Older Individuals ◽

Linear Regression Models ◽

Cross Sectional ◽

Medication Intake ◽

The One ◽

Fat Soluble Vitamins ◽

The Impact ◽

Β Carotene

The regular use of medication may interfere with micronutrient metabolism on several levels, such as absorption, turnover rate, and tissue distribution, and this might be amplified during aging. This study evaluates the impact of self-reported medication intake on plasma micronutrients in the MARK-AGE Project, a cross-sectional observational study in 2217 subjects (age- and sex-stratified) aged 35–75 years from six European countries that were grouped according to age. Polypharmacy as possible determinant of micronutrient concentrations was assessed using multiple linear regression models adjusted for age-group, dietary fruit, vegetables, and juice intake, and other confounders. Younger participants reported taking fewer drugs than older participants. Inverse associations between medication intake and lutein (−3.31% difference per increase in medication group), β-carotene (−11.44%), α-carotene (−8.50%) and positive associations with retinol (+2.26%), α-tocopherol/cholesterol (+2.89%) and γ-tocopherol/cholesterol (+1.36%) occurred in multiple adjusted regression models. Combined usage of a higher number of medical drugs was associated with poorer status of carotenoids on the one hand and higher plasma concentrations of retinol, α- and γ-tocopherol on the other hand. Our results raise concerns regarding the safety of drug combinations via the significant and surprisingly multifaceted disturbance of the concentrations of relevant micronutrients.

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The impact of strategy on public sector set-aside programs: the case of the state of Ohio

Journal of Public Procurement ◽

10.1108/jopp-03-2018-003 ◽

2018 ◽

Vol 18 (1) ◽

pp. 31-49 ◽

Cited By ~ 1

Author(s):

Ian Y. Blount ◽

Jay Seetharaman ◽

Trevor L. Brown

Keyword(s):

Program Implementation ◽

Regression Models ◽

Implementation Strategy ◽

State Level ◽

The State ◽

State Agencies ◽

Linear Regression Models ◽

Content Type ◽

Program Strategy ◽

The Impact

Purpose The purpose of this study is to examine the impact of program strategy on the implementation of the efficacy of a procurement set-aside program at the state level. Design/methodology/approach This study examines the impact of program implementation strategy across two administrations considering the most compelling alternative arguments for what drives agency purchasing through contracts with MBEs. Findings The results of mixed effects linear regression models on the procurement expenditures of 70 state agencies in Ohio from 2008-2015 show significantly higher rates of procurement expenditures with MBEs under the Kasich administration. Originality/value These results provide support for the argument that changes in program implementation strategy led to substantive increases in the use of MBEs by state agencies in Ohio.

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