scholarly journals Poverty Diagnostics in the Philippines: Assessing Impacts of Programs through Generalised Linear Models (GLMs)

2021 ◽  
Author(s):  
◽  
Joel E. Bancolita
Keyword(s):  
Linear Models ◽  
Descriptive Analysis ◽  
The Philippines ◽  
Family Characteristics ◽  
Intervention Programs ◽  
Categorical Data Analysis ◽  
Generalised Linear Models ◽  
Explanatory Variables ◽  
The Family ◽  
Poor Population

<p>The Philippines is a country where a quarter to one-third of the population is poor. Although the nation has managed to lower poverty incidence in some years, its booming population increases the poor population dramatically. This is why alleviating poverty is a pinnacle program in the country. In aid of poverty alleviation endeavor, this study focuses on assessing which programs had been effective in alleviating poverty given other family characteristics. Aside from descriptive methods, employing Generalised Linear Models (GLMs) and categorical data analysis are the focus in analysing the effects of existing intervention programs on status of improvement and income of families. In addition, varying effects of programs depending on values of other covariates are also analysed. Descriptive analysis and modeling are applied on the panel data of families. Intervention programs namely scholarship, Comprehensive Agrarian Reform Program (CARP) and government housing or other housing financing program (GHFP) have been run together with other family characteristics to describe improvement in welfare and income. Interaction effects, between access to intervention programs and other aspects of the family, have been derived to give a richer picture of the phenomenon. The study has come to conclude that the programs are indeed effective in improving lives of families, with some effects varying on some levels of other explanatory variables.</p>

scholarly journals Poverty Diagnostics in the Philippines: Assessing Impacts of Programs through Generalised Linear Models (GLMs)

2021 ◽  
Author(s):  
◽  
Joel E. Bancolita
Keyword(s):  
Linear Models ◽  
Descriptive Analysis ◽  
The Philippines ◽  
Family Characteristics ◽  
Intervention Programs ◽  
Categorical Data Analysis ◽  
Generalised Linear Models ◽  
Explanatory Variables ◽  
The Family ◽  
Poor Population

<p>The Philippines is a country where a quarter to one-third of the population is poor. Although the nation has managed to lower poverty incidence in some years, its booming population increases the poor population dramatically. This is why alleviating poverty is a pinnacle program in the country. In aid of poverty alleviation endeavor, this study focuses on assessing which programs had been effective in alleviating poverty given other family characteristics. Aside from descriptive methods, employing Generalised Linear Models (GLMs) and categorical data analysis are the focus in analysing the effects of existing intervention programs on status of improvement and income of families. In addition, varying effects of programs depending on values of other covariates are also analysed. Descriptive analysis and modeling are applied on the panel data of families. Intervention programs namely scholarship, Comprehensive Agrarian Reform Program (CARP) and government housing or other housing financing program (GHFP) have been run together with other family characteristics to describe improvement in welfare and income. Interaction effects, between access to intervention programs and other aspects of the family, have been derived to give a richer picture of the phenomenon. The study has come to conclude that the programs are indeed effective in improving lives of families, with some effects varying on some levels of other explanatory variables.</p>

Gezinsprofielen, Voor- en Vroegschoolse Stimulerings-Activiteiten en Schoolsucces

2002 ◽  
Vol 68 ◽  
pp. 65-76
Author(s):  
Roel van Steensel
Keyword(s):  
Early Intervention ◽  
Primary Education ◽  
Family Characteristics ◽  
Intervention Programs ◽  
Control Group ◽  
Research Project ◽  
Educational Achievements ◽  
The Family ◽  
Family Based ◽  
At Home

In order to prepare children from disadvantaged backgrounds for primary education, early intervention programs are used. Generally, a distinction is made between two types of intervention activities: those which are conducted at home (family-based activities) and those which are conducted in, for example, preschools (center-based activities). This research project tries to establish whether there is a relation between participation in early intervention activities and the educational achievements of 119 pupils from the cities of Tilburg and Waalwijk. A comparison is made between four groups of children: a group that took part in the family-based program Opstap Opnieuw, a group that went to preschool, a group that did both, and a control group. The performances of these four groups are followed during the first years of primary education. In addition, an estimate is made of the influence of family characteristics on the effectiveness of both types of intervention activities.

Log-Linear Modelling and Spatial Analysis

1985 ◽  
Vol 17 (7) ◽  
pp. 931-951 ◽  
Author(s):  
E Aufhauser ◽  
M M Fischer
Keyword(s):  
Spatial Analysis ◽  
Linear Models ◽  
Generalised Linear Models ◽  
Migration Patterns ◽  
Poisson Sampling ◽  
The Past ◽  
The Social ◽  
The Family ◽  
Conventional Models ◽  
Log Linear

In the past decade the social sciences have seen an upsurge of interest in analysing multidimensional contingency tables using log-linear models. Two broad families of log-linear models may be distinguished: the family of conventional models and the family of unconventional models (that is, quasi-log-linear and hybrid models). In this paper a brief review of such models is presented and some linkage to the class of generalised linear models suggested by Nelder and Wedderburn is provided. The great potential of log-linear models for spatial analysis is illustrated in applying conventional and unconventional models in a migration context to identify intertemporal stability of migration patterns. The problem that the effective units migrating are households rather than individuals is coped with by postulating a compound Poisson sampling scheme.

scholarly journals Family characteristics associated with rural households’ willingness to renew the family doctor contract services: a cross-sectional study in Shandong, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenjuan Li ◽  
Jie Li ◽  
Peipei Fu ◽  
Yan Chen ◽  
Yemin Yuan ◽  
...  
Keyword(s):  
Labor Force ◽  
Descriptive Analysis ◽  
Rural Households ◽  
Family Doctor ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Family Characteristics ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
The Family

Abstract Background In China, some previous studies have investigated the signing rate and willingness of residents to sign the family doctor contract services (FDCS). Few studies have explored residents’ willingness to renew the FDCS. This study is designed to understand the family characteristics difference towards rural households’ willingness of maintaining the FDCS. Methods A total of 823 rural households were included in the analysis. A descriptive analysis was conducted to describe the sample characteristics. The binary logistic regression model was used to explore the family characteristics that influence the renewal willingness for FDCS among rural households in Shandong province, China. Results Our study found that about 95.5% rural households had willingness to maintain the FDCS in Shandong, China. Those households with catastrophic health expenditures (CHE) (OR = 0.328, 95%CI = 0.153–0.703), with highest level of education at graduate or above (OR = 0.303, 95%CI = 0.123–0.747) were less willing to maintain the FDCS. Those whose households have more than half of the labor force (OR = 0.403, 95%CI = 0.173–0.941) and those households living in economically higher condition were less willing to maintain the FDCS. Conclusions This study demonstrates a significant association between family characteristics (CHE, highest education in households, proportion of the household labor force) and willingness to maintain FDCS among rural households in Shandong, China. Targeted policies should be made for rural residents of identified at-risk families.

scholarly journals Effects of location of Norway spruce (Picea abies) stumps on their colonisation by insects in the mountains

2019 ◽  
Vol 61 (1) ◽  
pp. 64-77
Author(s):  
Iwona Skrzecz ◽  
Maria Bulka ◽  
Joanna Ukalska
Keyword(s):  
Picea Abies ◽  
Sea Level ◽  
Linear Models ◽  
Negative Binomial ◽  
Sun Exposure ◽  
Limited Information ◽  
Generalised Linear Models ◽  
The Family ◽  
Microclimatic Conditions ◽  
Physical And Chemical

Abstract Tree stumps provide habitat for insect assemblages, which are influenced by various factors. Among these factors, physical and chemical changes of the stumps, fungi developing in the dead wood and stump size are most often reported. However there is limited information about the abundance of insects in stumps that are located on mountains where there are different microclimatic conditions. The studies pointed at the determination whether the location of Picea abies stumps in mountains at different altitudes above sea level and on mountainsides with different sun exposure has an impact on the frequency of insects colonising them. The study was carried out in the Eastern Sudety Mountains situated in south-western Poland. The stumps were in clearcuts located at the altitudes 600–700 m and 900–1000 m above sea level and on southern and northern mountainsides. The insects were collected from 0.05 m2 of bark from each stump and identified to the family, order or species level. The numbers of insects in the stumps were modelled with the use of the Poisson distribution or the negative binomial distribution and the generalised linear models. Picea abies stumps were colonised by insects from 16 families in 3 orders (Coleoptera, Diptera, Hymenoptera) in which the Coleoptera was most frequently represented by the families Cerambycidae, Curculionidae (with the sub-family Scolytinae). In the stumps located at the elevation of 900–1000 m there were 28% more insects than in the stumps at 600–700 m. The stumps located on mountainsides with northern exposure were colonised more abundantly by Cerambycidae. Numbers of Curculionidae in the stumps were affected by altitude. Most Curculionidae were found in the stumps located at the elevation 900–1000 m above sea level. The interaction of altitude and mountainside exposure showed more insects in the stumps at higher altitude, regardless of the mountainside exposure. The results showed that the total number of insects in the stumps was influenced by their location in mountains.

New and little-known species of the genus Zhengitettix (Orthoptera: Tetrigidae: Scelimeninae) from Southeast Asia

2013 ◽  
Vol 22 (2) ◽  
pp. 204-223
Author(s):  
S.Yu. Storozhenko
Keyword(s):  
New Species ◽  
Southeast Asia ◽  
The Philippines ◽  
Check List ◽  
Key To Species ◽  
The Family

Seven new species of the genus Zhengitettix Liang, 1994 are described: Z. hosticus sp. nov., Z. mucronatus sp. nov. and Z. spinulentus sp. nov. from Vietnam; Z. albitarsus sp. nov. and Z. extraneus sp. nov. from Thailand; Z. palawanensis sp. nov. and Z. taytayensis sp. nov. from the Philippines. Two species, Z. curvispinus Liang, Jiang et Liu, 2007 and Z. obliquespicula Zheng et Jiang, 2005 are firstly recorded from Vietnam. An annotated check-list and key to species of the genus Zhengitettix are given. Position of Zhengitettix within the family Tetrigidae is briefly discussed.

Life Course Socioeconomic Position, Intergenerational Social Mobility, and Hypertension Incidence in ELSA-Brasil

2021 ◽  
Author(s):  
José Aparecido Soares Lopes ◽  
Luana Giatti ◽  
Rosane Harter Griep ◽  
Antonio Alberto da Silva Lopes ◽  
Sheila Maria Alvim Matos ◽  
...  
Keyword(s):  
Life Course ◽  
Social Mobility ◽  
Socioeconomic Position ◽  
Linear Models ◽  
Sociodemographic Factors ◽  
Incidence Rates ◽  
Explanatory Variables ◽  
Rate Ratios

Abstract Background Life course epidemiology is a powerful framework to unravel the role of socioeconomic position (SEP) disparities in hypertension (HTN). This study investigated whether life course SEP is associated with HTN incidence. Specifically, to test whether cumulative low SEP throughout life and unfavorable intergenerational social mobility increased HTN incidence. METHODS Longitudinal analysis of 8,754 ELSA-Brasil participants without HTN or cardiovascular in visit 1 (2008–2010). The response variable was the incidence of HTN between visits 1 and 2 (2012–2014). The explanatory variables were childhood, youth, and adulthood SEP, cumulative low SEP, and intergenerational social mobility. Associations were estimated by incidence rate ratios (IRRs) obtained by generalized linear models, with Poisson distribution and logarithmic link function, after adjustment for sociodemographic, behavioral, and health factors. RESULTS The incidence of HTN was 43.2/1,000 person-years, being higher in males, elderly (70–74 years), self-declared black, and low SEP individuals. After considering sociodemographic factors, low SEP in childhood, youth, and adulthood remained statistically associated with increased HTN incidence. Individuals in the third (IRR: 1.26; 95% confidence interval (CI): 1.11–1.44) and fourth top quartiles (IRR: 1.29; 95% CI: 1.11–1.49) of cumulative low SEP, vs. first, as well as those with low stable intergenerational trajectory (IRR: 1.29; 95% CI: 1.16–1.43), vs. high stable, also had increased HTN incidence rates. Conclusions Socioeconomic disparities at all phases of the life cycle appear to raise HTN incidence rates, being the individuals with greater accumulation of exposure to low SEP and with more unfavorable intergenerational mobility at greatest risk, even in a short follow-up time.

Nonnull asymptotic distributions of three classic criteria in generalised linear models

Biometrika ◽  
1994 ◽  
Vol 81 (4) ◽  
pp. 709-720 ◽  
Author(s):  
GAUSS M. CORDEIRO ◽  
DENISE A. BOTTER ◽  
SILVIA L. DE PAULA FERRARI
Keyword(s):  
Linear Models ◽  
Asymptotic Distributions ◽  
Generalised Linear Models

scholarly journals Investigating Parental Beliefs Concerning Facilitators and Barriers to the Physical Activity in Down Syndrome and Typical Development

SAGE Open ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. 215824401668779 ◽  
Author(s):  
Marianna Alesi
Keyword(s):  
Physical Activity ◽  
Down Syndrome ◽  
Intervention Programs ◽  
Typically Developing ◽  
Typically Developing Children ◽  
Home Based ◽  
Semistructured Interviews ◽  
The Family ◽  
Sport Activities ◽  
Facilitators And Barriers

Family is a crucial factor to determine the amount, the duration, and the complexity of children’s sport activities. This study aims at comparing the beliefs concerning the involvement in sport activities among parents of children with Down syndrome (DS) and parents of typically developing children (TDC). A phenomenological theoretical framework was adopted to realize semistructured interviews with the parents. The participants were 35 parents: 19 with children and adolescents with DS and 16 with TDC. The main facilitation/barrier themes identified by the parents of children with DS were the family and the expert at Adapted Physical Activity (APA) instructors. Conversely, the parents of TDC identified social factors related to family as the only barrier. One of the issues that emerge from this study is the lack of home-based physical activity (PA) intervention programs aimed at involving families and children.

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