scholarly journals Factors Influencing the Frequency of Consumers’ Purchases of Locally-Produced Rice in Indonesia: A Poisson Regression Analysis

Agriculture ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 117 ◽  
Author(s):  
Apri Wahyudi ◽  
John K. M. Kuwornu ◽  
Endro Gunawan ◽  
Avishek Datta ◽  
Loc T. Nguyen
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Marketing Strategy ◽  
Poisson Regression ◽  
Poisson Regression Model ◽  
Poisson Regression Analysis ◽  
Empirical Results ◽  
Factors Influencing ◽  
Using Data

This study assessed the factors influencing the frequency of purchases of locally-produced rice using data collected from a sample of 400 consumers in Jakarta Province in Indonesia. The empirical results of a Poisson regression model revealed that socio-economic characteristics of the consumers (i.e., gender, age, occupation, education, and income), characteristics of the product (i.e., label and color), and the product’s price and promotion significantly influenced consumers’ frequency of purchasing locally-produced rice. The implication is that increasing the quality of locally-produced rice, applying an appropriate marketing strategy such as offering a relatively lower-priced product compared to the price of imported rice, and product promotion are necessary for increasing the frequency of consumers’ purchases of locally-produced rice.

scholarly journals PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON

2013 ◽  
Vol 2 (2) ◽  
pp. 6
Author(s):  
PUTU SUSAN PRADAWATI ◽  
KOMANG GDE SUKARSA ◽  
I GUSTI AYU MADE SRINADI
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Poisson Regression ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Poisson Regression Model ◽  
Response Variable ◽  
Poisson Regression Analysis ◽  
Binomial Regression ◽  
The Mean

Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance. However, there are deviations in which the value of the response variable variance is greater than the mean. This is called overdispersion. If overdispersion happens and Poisson Regression analysis is being used, then underestimated standard errors will be obtained. Negative Binomial Regression can handle overdispersion because it contains a dispersion parameter. From the simulation data which experienced overdispersion in the Poisson Regression model it was found that the Negative Binomial Regression was better than the Poisson Regression model.

scholarly journals PEMODELAN ANGKA KEMATIAN KECELAKAAN LALU LINTAS DI KOTA DENPASAR

2021 ◽  
Vol 10 (2) ◽  
pp. 111
Author(s):  
NI LUH WIWIN YUNIARTI ◽  
I GUSTI AYU MADE SRINADI ◽  
MADE SUSILAWATI
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Traffic Congestion ◽  
Poisson Regression ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Poisson Regression Model ◽  
Chi Square ◽  
Poisson Regression Analysis ◽  
Accident Data

Denpasar City is one of the most crowded areas on the island of Bali, this is due to the fast population growth rate. This fast population can cause problems, one of the problem is in the transportation sector. The increase in the volume of transportation can cause traffic congestion which can lead to a high number of traffic accidents, this can lead to death due to traffic accidents in Denpasar City. To determine the factors that influence traffic accident mortality, researchers used Poisson regression analysis. Based on data on traffic accidents in Denpasar City in 2018, the deviance value is smaller than the chi square value. Therefore Poisson regression analysis is sufficient to model traffic accident data in Denpasar City. The Poisson regression model obtained from this research is. Based on the Poisson regression model obtained, the independent variable that contributes significantly and has a high effect on the number of people who die in traffic accidents is the driver factor.

scholarly journals Factors influencing improved Maize Farming Technologies adoption in Yendi Municipality of Northern Region of Ghana

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
G. B. Mohammed ◽  
H. Adam ◽  
K. Duniya
Keyword(s):  
Poisson Regression ◽  
Northern Region ◽  
Farm Size ◽  
Extension Agents ◽  
Poisson Regression Model ◽  
Access To Credit ◽  
Poisson Regression Analysis ◽  
Food And Agriculture ◽  
Factors Influencing ◽  
Depth Interviews

Low technology adoption continues to affect the production of maize in Ghana, including the Yendi municipality, which is one of the high maize producing areas. The study examined the factors influencing the adoption of improved maize farming technologies in the Yendi municipality. Data was collected from 154 randomly selected maize farmers using questionnaires and in-depth interviews. Descriptive statistics and Poisson Regression Model were used to analyze the demographic characteristics of maize farmers as well as the socioeconomic factors influencing the adoption of improved maize farming technologies. The study revealed that 59% of the maize farmers had no contact with agricultural extension agents, which could negatively affect adoption of improved maize farming technologies. The Poisson regression analysis showed that education, farm size, credit and extension contact significantly influenced the adoption of improved maize farming technologies in the area. Maize farmers therefore need to be adequately trained on the technologies to understand their full benefits to enable them adopt them fully. The study recommends that Ministry of Food and Agriculture (MoFA) together with Development Partners (DPs) should facilitate farmers’ access to credit and provide more logistics to facilitate access to extension services.

scholarly journals Untreated dental caries prevalence and impact on the quality of life among11 to14-year-old Egyptian schoolchildren: A cross-sectional study

2019 ◽  
Author(s):  
Ahmad Elheeny ◽  
Nagwa Khattab ◽  
Samar Eid
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Poisson Regression ◽  
Caries Experience ◽  
Caries Prevalence ◽  
Cross Sectional ◽  
Poisson Regression Analysis ◽  
Independent Variables ◽  
Carious Lesions

Abstract Background: This study aimed to assess caries prevalence and experience among 11-14 years schoolchildren, analyze demographic, socioeconomic, personal and professional dental care in relation to untreated carious lesions, and evaluates the effect of decayed teeth on early adolescents’ oral health-related quality of life (OHRQoL). Methods: A cross-sectional analytical investigation conducted on 1020 preparatory schoolchildren selected on the basis of a multistage sampling technique. Caries status for the participants detected via recording their caries experience and untreated cavities using DMFT and DT indices. OHRQoL was determined using a validated Arabic CPQ11-14 short-form questionnaire. Statistical methods for descriptive analysis chi-square test, Independent-Samples T-Test and one-way analysis of variance (ANOVA) were used. Multilevel Poisson regression analysis through a hierarchical approach was used to detect the influence of independent variables on DT scores. To declare the association between independent variables and QoL, a step-by-step, multivariate regression analysis was conducted. Results: The average scores of DMFT and DT in this study were 2.97±1.29 and 1.66±1.24. Poisson regression analysis demonstrates that school children with untreated carious lesions are 2.51 times have poor OHRQoL than their peers without caries. Untreated cavities affected mainly by mother education, school type, family income, and regular dental appointments. Children with DMFT ≤ 3) or DT =0 recorded a statistically significant lower CPQ11-14 average scores (p ˂ 0.01) and (p ˂ 0.0001) respectively. Conclusions: Untreated carious cavities and caries experience were associated with lower socioeconomic, maternal education and tooth brushing, untreated carious cavities have a significant negative impact on schoolchildren’s QoL.

scholarly journals Untreated dental caries prevalence and impact on the quality of life among 11 to14-year-old Egyptian schoolchildren: A cross-sectional study

2020 ◽  
Author(s):  
Samar Eid ◽  
Nagwa Khattab ◽  
Ahmad Elheeny
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Poisson Regression ◽  
Early Adolescents ◽  
Caries Experience ◽  
Caries Prevalence ◽  
Cross Sectional ◽  
Poisson Regression Analysis ◽  
Independent Variables

Abstract Background This study aimed to assess caries prevalence and experience among 11 to 14 years, school children, analyze demographic, socioeconomic, personal and professional dental care in relation to untreated carious lesions, and evaluates the effect of decayed teeth on early adolescents’ oral health-related quality of life (OHRQoL). Methods A cross-sectional analytical investigation was conducted on 1020 preparatory schoolchildren selected on the basis of a multistage sampling technique. Caries status of the participants detected via recording their caries experience and untreated cavities using DMFT and DT indices. OHRQoL was determined using a validated Arabic CPQ 11-14 short-form questionnaire. Statistical methods for descriptive analysis, chi-square test, Independent-Samples t test and one-way analysis of variance (ANOVA) were used. Multivariate Poisson regression analysis through a hierarchical approach was used to detect the influence of independent variables on DT scores. To declare the association between independent variables and QoL, a step-by-step, multivariate regression analysis was conducted. Results The average scores of DMFT and DT in this study were 2.97±1.29 and 1.66±1.24. Poisson regression analysis demonstrated that early adolescents whom their mothers with a lower level of education and of low socioeconomic status were 1.41 and 1.27 times respectively had higher DT scores when compared with their peers. Untreated cavities affected mainly by mother education, school type, family income, and regular dental appointments. Children with DMFT≤3) or DT=0 recorded a statistically significant lower CPQ 11-14 average score (p˂0.01) and (p˂0.0001) respectively. Conclusions Untreated carious cavities and caries experience were associated with lower socioeconomic, maternal education andl ess frequent tooth brushing. Untreated carious cavities have a significant negative impact on schoolchildren’s QoL. .

scholarly journals Untreated dental caries prevalence and impact on the quality of life among 11 to 14-year-old Egyptian schoolchildren: A cross-sectional study

2020 ◽  
Author(s):  
Samar Eid ◽  
Nagwa Khattab ◽  
Ahmad Elheeny
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Poisson Regression ◽  
Early Adolescents ◽  
Caries Experience ◽  
Caries Prevalence ◽  
Cross Sectional ◽  
Poisson Regression Analysis ◽  
Independent Variables

Abstract Background This study aimed to assess caries prevalence and experience among 11 to 14 years, school children, analyze demographic, socioeconomic, personal and professional dental care in relation to untreated carious lesions, and evaluates the effect of decayed teeth on early adolescents’ oral health-related quality of life (OHRQoL). Methods A cross-sectional analytical investigation was conducted on 1020 preparatory schoolchildren selected on the basis of a multistage sampling technique. Caries status of the participants detected via recording their caries experience and untreated cavities using DMFT and DT indices. OHRQoL was determined using a validated Arabic CPQ 11-14 short-form questionnaire. Statistical methods for descriptive analysis, chi-square test, Independent-Samples t test and one-way analysis of variance (ANOVA) were used. Multivariate Poisson regression analysis through a hierarchical approach was used to detect the influence of independent variables on DT scores. To declare the association between independent variables and QoL, a step-by-step, multivariate regression analysis was conducted. Results The average scores of DMFT and DT in this study were 2.97±1.29 and 1.66±1.24. Poisson regression analysis demonstrated that early adolescents whom their mothers with a lower level of education and of low socioeconomic status were 1.41 and 1.27 times respectively had higher DT scores when compared with their peers. Untreated cavities affected mainly by mother education, school type, family income, and regular dental appointments. Children with DMFT≤3) or DT=0 recorded a statistically significant lower CPQ 11-14 average score (p˂0.01) and (p˂0.0001) respectively. Conclusions Untreated carious cavities and caries experience were associated with lower socioeconomic, maternal education andl ess frequent tooth brushing. Untreated carious cavities have a significant negative impact on schoolchildren’s QoL. .

scholarly journals Untreated dental caries prevalence and impact on the quality of life among 11 to14-year-old Egyptian schoolchildren: A cross-sectional study

2020 ◽  
Author(s):  
Samar Eid ◽  
Nagwa Khattab ◽  
Ahmad Elheeny
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Poisson Regression ◽  
Early Adolescents ◽  
Caries Experience ◽  
Caries Prevalence ◽  
Cross Sectional ◽  
Poisson Regression Analysis ◽  
Independent Variables

Abstract Background This study aimed to assess caries prevalence and experience among 11-14 years, school children, analyze demographic, socioeconomic, personal and professional dental care in relation to untreated carious lesions, and evaluates the effect of decayed teeth on early adolescents’ oral health-related quality of life (OHRQoL) . Methods A cross-sectional analytical investigation conducted on 1020 preparatory schoolchildren selected on the basis of a multistage sampling technique. Caries status of the participants detected via recording their caries experience and untreated cavities using DMFT and DT indices. OHRQoL was determined using a validated Arabic CPQ11-14 short-form questionnaire. Statistical methods for descriptive analysis, chi-square test, Independent-Samples T-Test and one-way analysis of variance (ANOVA) were used . Multi variate level Poisson regression analysis through a hierarchical approach was used to detect the influence of independent variables on DT scores. To declare the association between independent variables and QoL , a step-by-step, multivariate regression analysis was conducted . Results The average scores of DMFT and DT in this study were 2.97±1.29 and 1.66±1.24. Poisson regression analysis demonstrated that early adolescents whom their mothers with a lower level of education and of low socioeconomic status were 1.41 and 1.27 times respectively had higher DT scores when compared with their peers. Untreated cavities affected mainly by mother education, school type, family income, and regular dental appointments. Children with DMFT ≤ 3) or DT =0 recorded a statistically significant lower CPQ11-14 average score ( p ˂ 0.01) and ( p ˂ 0.0001) respectively. Conclusions Untreated carious cavities and caries experience were associated with lower socioeconomic, maternal education And less frequent tooth brushing. Untreated carious cavities have a significant negative impact on schoolchildren’s QoL .

Sign in / Sign up

Export Citation Format

Share Document