scholarly journals Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

2009 ◽  
Vol 79 (6) ◽  
pp. 1162-1168 ◽  
Author(s):  
Marian Almyra Sevilla-Naranjilla ◽  
Ingrid Rudzki-Janson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Correlated Variables ◽  
The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

scholarly journals Cephalometric Floating Norms for Czech Adults

2012 ◽  
Vol 113 (4) ◽  
pp. 271-278
Author(s):  
Adam Řeháček ◽  
M. Janega ◽  
P. Hofmanová ◽  
T. Dostálová
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Regression Equations ◽  
Model Combining ◽  
Skeletal Pattern ◽  
The Face ◽  
The Individual

The purpose of this study was to establish floating cephalometric norms for the description of the individual skeletal pattern in Czech adults. Floating norms provide a method of analysis that uses the variability of the associations among suitable cephalometric measures, on the basis of the regression model combining both sagittal and vertical skeletal parameters. Harmony box is a simple and useful tool for diagnostics of orthodontic anomalies according to individual cephalometric norms. 118 subjects, 53 male and 65 female, from Czech population were selected. The method of multiple regression analysis was used to determine interdependence among five cephalometric variables of the sample. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were then illustrated as the harmony box. The results construct a harmony box based on correlated cephalometric variables. The multiple regression analysis of the data is graphically illustrated as a harmony schema which divides harmony box in three zones according to the type of the face – prognathic, orthognathic and retrognathic. The cephalometric floating norms describing the individual craniofacial pattern among Czech adults were established based on five correlated variables in the form of a harmony box.

scholarly journals Harmony concept of craniofacial morphology among young Serbian population on Kosovo and Metohia

2021 ◽  
pp. 45-45
Author(s):  
Aleksandrija Djordjevic ◽  
Jasna Pavlovic ◽  
Vladanka Vukicevic ◽  
Amila Vujacic ◽  
Sanja Simic ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Linear Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Craniofacial Morphology ◽  
Regression Equations ◽  
Aim Analysis ◽  
Individual Values ◽  
The Individual

Background/Aim. Analysis of cephalometric value of profile radiographs are very important for orthodontic diagnosis and planning of therapy. These values differ morphologically in dependence of ethic and racial affiliation. Aim of this study was to confirm variations of cephalometric norms and extent of their value, and according to them confirm the harmony concept of craniofacial morphology among young Serbian population on Kosovo and Metohia. Methods. This retrospective study comprised 183 profile radiograms from Kosovo and Metohia, aged 8-33, from which Class I was ascertained among 82 patients (53 female and 29 male). Five cephalometric angles were measured and analysed. Pearson correlation coefficients was used to define the strength of correlation between the five variables. Bivariable linear regression was used to form harmonious combinations of individual values in insight of craniofacial harmonious form. Multiple regression and standard error were used to form harmonious schema. Results. Linear regression equations were used to define cephalometric floating norms. They have helped us form a harmonious box and harmonious schema of craniofacial norms of the participants. Extent of harmonious value for orthognathic profile varies for SNA 78? - 81?, SNB 75.1? - 78.1?, NL-NSL 11.5? - 5.5?, NSBa 134.7? - 125.8? and ML-NSL 40.5? - 30.6?. Conclusion. Cephalometric floating norms that describe the individual craniofacial pattern among young Serbian population on Kosovo and Metohia, determined and defined of five cephalometric variables, are presented in the form of harmonious box and harmonious schema and can accurately determine the craniofacial pattern.

A Study of Internet Addiction and Its Effects on the Mental Health of Medical Students: A Cross-Sectional Study in Western Iran

2019 ◽  
Author(s):  
Javad Yoosefi Lebni ◽  
Razie Toghroli ◽  
Manoj Sharma ◽  
Behzad Mahaki ◽  
Hadi Darvishi Gilan ◽  
...  
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Academic Success ◽  
University Students ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Internet Addiction ◽  
Pearson Correlation ◽  
The Internet ◽  
Statistical Population

Abstract Background: The internet itself is a harmless technology. However, its overuse and misuse will expose its users to internet addiction. On the other hand, diagnosis of students’mental dysfunction is of prime importance, and their progress and academic success in the future can be prevented by this technology if not properly handled. Methods: In this descriptive and correlational study, the statistical population consisted of all students at Kermanshah University of Medical Sciences, of which 447 students studying in the first and second semesters of the academic year 2017-18 were selected through Cochran's Sample Size Formula and Stratified Random Sampling. As for data collection, the Young's Internet addiction Test (IAT) and Goldberg General Health Questionnaire (GHQ-28) were utilized. Moreover, for data analysis, the descriptive statistics (percentage, mean, standard deviation) and inferential statistics (T-test, Pearson correlation coefficient, and multiple regression analysis) were employed in the environment of SPSS Statistical Software Version 23.0. Results: The results of the present study demonstrated that the total mean score of students’ internet addiction and mental health measured 3.81±0.88 and 2.56±0.33, respectively. The results also indicated that internet addiction correlared positively with depression whereas negatively with mental health (P<0.001). Besides, the results of multiple regression analysis revealed that the five major predictors of vulnerability to internet addictionin university students were as follows: the key reason for using the internet, faculty, depression, the main place for using the internet, and somatic symptoms. Conclusions: According to the findings of the present study, it can be concluded that students’ excessive use of the internet leads to depression, anxiety, and reduced mental health, thereby affecting their academic performance. Hence, it is suggested that further monitoring and control be exercised on how the internet is used by university students, and they should be informed of the detrimental effects of this technology in the case of misuse or overuse.

scholarly journals Analysing Enabling Factors Affecting the On-site Productivity in Indian Construction Industry

2018 ◽  
Vol 49 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Saurav Dixit
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Reliability Analysis ◽  
Construction Industry ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Research Paper ◽  
Site Productivity ◽  
Factors Affecting ◽  
Construction Productivity

The growth in construction productivity is low and do not continue for a long span of time. The purpose of the present research paper is to analyse the factors affecting on-site construction productivity in Indian construction industry. The tools used for the analysis are reliability analysis to check the consistency of the data, Pearson correlation analysis to mathematically validate the factor analysis, and linear regression analysis to propose a framework of factors affecting construction productivity. The findings of the reliability analysis concludes that the all the factors having a value of more than 0.67, which is considered to be good for the study, and the findings of the study conclude that the most significant 3 attributes grouped in linear regression analysis change in scope (R2), revision in drawings (R15), and response to change orders (R3) having maximum impact over the construction productivity. The research paper attempts to provide an insight and better understanding of the factors affecting on-site construction productivity in India and the ways and means to control and improve construction productivity of construction projects."This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018: Dixit, S., Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2018). Critical Analysis of Factors Affecting the on-site Productivity in Indian Construction Industry, (July), 38–45. https://doi.org/10.3311/CCC2018-006"

scholarly journals Enterprise Value and Intellectual Capital: Study of BSE 500 Firms

2018 ◽  
Vol 7 (2) ◽  
pp. 123 ◽  
Author(s):  
Priti Sharma
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Intellectual Capital ◽  
Pearson Correlation ◽  
Market Value ◽  
Linear Multiple Regression ◽  
Listed Firms ◽  
Customer Capital ◽  
Almost All

The purpose of this paper is to estimate the intellectual capital coefficient of the firms under study and to study the relationship, if any between intellectual capital and intellectual capital and its constituents. In this empirical paper, analytical research design has been used. Pulic’s VAIC (modified) has been used to estimate the intellectual capital of BSE S&P 500 listed firms from 2007-2016. The data has been collected from CMIE and collected data has been analyzed using Pearson correlation and linear multiple regression analysis using CMIE PROWESS. Findings show that almost all firms under study have a good VAIC score means above 4 and the top VAIC scorer firms were mainly from refinery, metal, cement, steel, tobacco. Correlation analysis and Linear multiple regression analysis show that M/B ratio has a significant relationship with VACA, VAHU, Research and Development (Innovation capital) and Advertisement expenses (customer capital). Year-wise results depicts that value of adjusted R2 is increasing, in 2007 it was just .164 and in the year 2016 it is .607 which infers that VAIC’s role is improving in measuring the market value of firms under study. Year wise analysis shows that adjusted R2 is improving, so findings may serve as significant input for the firms to use intellectual capital as the main factor for improving the market value of firms. This paper will definitely contribute to the existing literature.

Proton NMR Analysis of Octane Number for Motor Gasoline: Part IV

1992 ◽  
Vol 46 (8) ◽  
pp. 1294-1300 ◽  
Author(s):  
M. Ichikawa ◽  
N. Nonaka ◽  
H. Amano ◽  
I. Takada ◽  
S. Ishimori ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Aromatic Compounds ◽  
Octane Number ◽  
Proton Magnetic Resonance ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Nmr Analysis ◽  
Motor Gasoline ◽  
The Relationship

Software (a program) for predicting the octane number of motor gasoline by proton magnetic resonance (PMR) spectrometry has been formulated. At the same time, a method has been studied to predict the composition of gasoline (in terms of the contents of paraffin, olefin, and aromatic compounds). The formulated program was evaluated by using it to predict the octane numbers of 31 samples of marketed summer gasoline (including 16 regular and 15 premium products), whose octane numbers and compositions were identified according to the ASTM standards. Also, the relationship between the PMR spectrum and gasoline composition was subjected to linear regression analysis by using the 31 samples whose octane numbers were calculated, and the appropriateness of the resultant regression equations was assessed. This report concerns the results of the study in which the octane numbers of the 31 samples were satisfactorily predicted by the formulated program and useful linear regression equations were obtained for the prediction of the composition of gasoline.

scholarly journals THE IMPACT OF SOCIAL FACTORS ON INDIVIDUAL TAX COMPLIANCE

2019 ◽  
Vol 4 (3) ◽  
pp. 26-28
Author(s):  
Muthaloo Subramaniam
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Tax Compliance ◽  
Cultural Background ◽  
Assessment System ◽  
Research Approach ◽  
The Individual ◽  
The Impact ◽  
Compliance Behaviour

Tax revenue is one of important government’s sources of revenue and the taxation system vary across countries. Malaysia went through the paradigm shift by employing the self-assessment system (SAS) on 2001 where responsibility of calculating taxes had shifted successfully from the Inland Revenue Board of Malaysia (IRBM) to taxpayers. Since then, the voluntary tax compliance through SAS in Malaysia has been paying a greater role in meeting the statutory tax obligations and collection, effectively and efficiently. The study is aimed to examine the ethical, moral, religious and cultural background considerations on individual voluntary tax compliance in Malaysia by engaging quantitative research approach by utilising 200 valid questionnaire from respondents who are the individual taxpayer in Malaysia. Multiple regression analysis conducted to identify the effect of ethicality, morality, religiosity and cultural background on the individual voluntary tax compliance in Malaysia. Findings shows that all the variables have significant positive relationship, however the multiple regression analysis proven that ethicality and religiosity have strong significant effect on the individual tax compliance behaviour and on the other hand, morality and cultural background doesn’t have significant effect on individual tax compliance behaviour.

scholarly journals Analisis Pengaruh Kelengkapan Fitur dan Desain Navigasi Aplikasi Perbankan Berbasis Mobile Terhadap User Experience Nasabah Individu pada PT Bank Central Asia Tbk

2020 ◽  
Vol 4 (4) ◽  
pp. 111
Author(s):  
Andrian Harinata ◽  
Anas Lutfi
Keyword(s):  
Regression Analysis ◽  
Central Asia ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
User Experience ◽  
Hypothesis Test ◽  
Mobile Banking ◽  
Mobile Banking Applications ◽  
The Individual

The goal of this research was to find whether feature completeness and navigation design of mobile banking applications developed by PT Bank Central Asia Tbk have a significant impact to its individual customers' user experience. This research was conducted by using questionnaire, in which the population was all the individual customers of PT Bank Central Asia Tbk, while the sample was the 162 (one hundred and sixty-two) respondents who submitted the questionnaire. By using the multiple regression analysis and hypothesis test, it was found that both feature completeness and navigation design of mobile banking applications developed by PT Bank Central Asia Tbk have a positive and significant impact to its individual customers' user experience.

scholarly journals The prediction of job involvement for pharmacists and accountants

2003 ◽  
Vol 29 (3) ◽  
Author(s):  
R. Van Wyk ◽  
A. B. Boschoff ◽  
F. V. N. Cilliers
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Job Involvement ◽  
Total Sample ◽  
Psychological Needs ◽  
Personality Characteristics ◽  
Common Variance ◽  
The Individual

The job involvement of the individual seems to be potentially fundamental to the satisfaction of certain salient psychological needs that could lead to positive organizational implications. This study investigates the predictiveness of job involvement of 375 professionals in the pharmacy (n = 200) and accountancy (n = 175) occupations by means of Multiple Regression Analysis through personality characteristics and job satisfaction. A number of significant but weak relationships are reported varying between 1.29% and 9.85% common variance. Job involvement is predicted reasonably well for the total sample (19.35%) and the sub-samples of professionals (11.01% and 24.71% respectively). Opsomming Werkbetrokkenheid van die individu blyk potensiëel ’n fundamentele rol te speel in die bevrediging van sekere onderliggende psigologiese behoeftes, wat kan lei tot positiewe organisasie uitkomste. Hierdie studie van 375 professionele persone vanuit die apteker- (n = 200) en rekenmeester- (n = 175) beroepe ondersoek die verhouding en voorspelbaarheid van werkbetrokkenheid deur middel van Meervoudige Regressie Analise en werksatisfaksie en persoonlikheidstrekke faktore as onafhanklike veranderlikes. ’n Aantal stastisties betekenisvolle, maar matige verwantskappe word geraporteer (gemeenskaplike variansies tussen 1.29% en 9.85%). Werkbetrokkenheid is redelik goed voorspel vir die totale steekproef (19.35%) asook die professionele sub-groepe (11.01% en 24.71% onderskeidelik)

Kesadaran Perpajakan, Pelayanan Fiskus, Dan Kepatuhan Wajib Pajak (Studi Padawajib Pajak Orang Pribadi Yang Melakukan Kegiatan Usaha Dan Pekerjaan Bebas)

Liquidity ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. 27-34
Author(s):  
Nurwati Nurwati
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Free Trade ◽  
Negative Influence ◽  
Independent Variable ◽  
The Individual ◽  
Positive Effect ◽  
Awareness Service

Taxpayer compliance from year to year shows declining. This study purposes to analyze the factors that affect the individual taxpayer Compliance conducting business and free trade in the region of KPP Pratama Jakarta Pasar Rebo. This study using the questionnaire as data collection. Respondents in this study are the individual taxpayers conducting business activities and work freely. This study uses a Tax Awareness, Service tax authorities as the independent variable and the Taxpayer Compliance as the dependent variable. The data were analyzed using multiple regression analysis using SPSS 20 for Windows. The results showed that (1) Awareness has negative influence on the Taxation Taxpayer Compliance significantly, (2) positive effect on the tax authorities Service Taxpayer Compliance significantly.

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