Changes in the Probability of Stuttering Following a Stutter: A Test of Some Recent Models

1979 ◽  
Vol 22 (3) ◽  
pp. 565-571 ◽  
Author(s):  
A. W. Still ◽  
S. Griggs
Keyword(s):  
Multiple Regression ◽  
Initial Increase ◽  
Grammatical Class ◽  
Initial Phoneme ◽  
Sequential Dependencies ◽  
Independent Variables ◽  
Word Position ◽  
Word Classes ◽  
The Difference

To test the models of stuttering proposed by Still and Sherrard (1976), six stutterers (two adults and four children between 12 and 14 years old) read 33 or more passages of prose of approximately 200 words, in sessions of 16 or 17 passages. Predictions tested concerned changes in stuttering probability as words elapse following the last stutter. Such changes may be confounded with sequential dependencies among word classes, together with correlations between word classes and stuttering. To allow for this, a multiple regression was carried out on six independent variables—initial phoneme, grammatical class, length of word, position in sentence, session, and familiarity of passage. From this analysis, predicted changes in stuttering probability were generated, and compared with observed probabilities. There was a significant decrease in the difference between observed and expected probabilities over the first 30 words following a stutter. Also, two subjects (the adults) showed an initial increase in rate of stuttering. These results support a combination of the anxiety and feedback models of Still and Sherrard.

Faktor-faktor yang Mempengaruhi Belanja Modal pada Kabupaten atau Kota di Provinsi Sumatera Selatan

2018 ◽  
Vol 2 (1) ◽  
pp. 140
Author(s):  
Gogor Mustawa Zais
Keyword(s):  
Multiple Regression ◽  
Capital Expenditure ◽  
Independent Variables ◽  
The Impact

ABSTRACT The objective of this study was to find out and analyze the impact of regional own revenue (PAD), general allocation fund (DAU) and special allocation fund (DAK) on capital expenditure (BM)  in regencies/towns in South  Sumatera Province  for a period of 2010 to 2014. The data were analyzed by using multiple regression. There were four variables in this research. A dependent variable was capital expenditure (BM) and independent variables were regional own revenue (PAD), general allocation fund (DAU) and special allocation fund (DAK). The results showed that the regional own revenue and special allocation fund variables have positive and significant impact on the capital expenditure. This means that the higher the regional own revenue and special allocation fund, the regencies/towns increased the capital expenditure are also higher. General allocation fund do not have a significant effect on the capital expenditure (BM) in regencies/towns in South Sumatera Province for a period of 2010 to 2014

Elimination of outlier measurements for damage detection of structures under changing environmental conditions

2021 ◽  
pp. 147592172199847
Author(s):  
William Soo Lon Wah ◽  
Yining Xia
Keyword(s):  
Damage Detection ◽  
Multiple Regression ◽  
Natural Frequencies ◽  
Detection Method ◽  
Detection Methods ◽  
Structure Model ◽  
Bridge Structure ◽  
Beam Structure ◽  
Dependent Variables ◽  
The Difference

Damage detection methods developed in the literature are affected by the presence of outlier measurements. These measurements can prevent small levels of damage to be detected. Therefore, a method to eliminate the effects of outlier measurements is proposed in this article. The method uses the difference in fits to examine how deleting an observation affects the predicted value of a model. This allows the observations that have a large influence on the model created, to be identified. These observations are the outlier measurements and they are eliminated from the database before the application of damage detection methods. Eliminating the outliers before the application of damage detection methods allows the normal procedures to detect damage, to be implemented. A multiple-regression-based damage detection method, which uses the natural frequencies as both the independent and dependent variables, is also developed in this article. A beam structure model and an experimental wooden bridge structure are analysed using the multiple-regression-based damage detection method with and without the application of the method proposed to eliminate the effects of outliers. The results obtained demonstrate that smaller levels of damage can be detected when the effects of outlier measurements are eliminated using the method proposed in this article.

The Relative Importance of Socioeconomic and Political Variables for Public Policy

1977 ◽  
Vol 71 (2) ◽  
pp. 559-566 ◽  
Author(s):  
Michael S. Lewis-Beck
Keyword(s):  
Public Policy ◽  
Path Analysis ◽  
Multiple Regression ◽  
Partial Correlation ◽  
Policy Outcomes ◽  
Statistical Techniques ◽  
Relative Importance ◽  
Simple Correlation ◽  
Independent Variables ◽  
Political Variables

Since Dawson and Robinson, a dominant issue in the quantitative study of public policy has been the relative importance of socioeconomic and political variables for determining policy outcomes. It is argued here that past efforts to resolve this issue have been unsatisfactory, largely because they relied on inadequate statistical techniques, i.e., simple correlation, partial correlation, or multiple regression. Coefficients from these techniques are irrelevant for all but the most peculiar models of public policy. In general, if the researcher wishes to assess the relative importance of independent variables, it will be necessary to resort to path analysis of a formally constructed causal model. The comparison of “effects coefficients,” derived from path analysis, is offered as the preferred means of evaluating independent variables, superior to comparisons of coefficients from simple correlation, partial correlation, or multiple regression. When the effects coefficients are actually calculated for a popular model of welfare policy, socioeconomic variables appear much more important than political variables, contrary to interpretations coming from the more traditional statistical techniques.

PENGARUH PELATIHAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA KOPILOKA 3.0 PALEMBANG TAHUN 2021

2021 ◽  
Vol 1 (2) ◽  
pp. 145-152
Author(s):  
Juni Eliana Prasetya N ◽  
Moh. Faizal ◽  
Choirunnisak Choirunnisak
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Motivation ◽  
Employee Performance ◽  
Independent Variables ◽  
Analysis Technique ◽  
Level Of Training ◽  
Positive Effect

In this study, there are results that contradict the theory which states that the higher the level of training and motivation, the employee's performance should increase.  In this study, training had no effect and motivation had no positive effect. This study aims to determine the effect of training and work motivation on employee performance in Kopiloka 3.0.  The population in this study were all employees at Kopiloka 3.0, which amounted to 15 people with a sample of 15 people using saturated sampling.  The data analysis technique in this study used SPSS 24 software, which consisted of data quality test, classical assumption test, multiple regression analysis, and hypothesis testing. By using multiple regression analysis, the results of the study show that training has no effect on employee performance.  Motivation has a significant effect on employee performance.  Simultaneously (together) the independent variables of training and motivation have an effect on employee performance.

Multiple regression analyses of midwinter fattening of the white-throated sparrow

1986 ◽  
Vol 64 (11) ◽  
pp. 2405-2411 ◽  
Author(s):  
Charles R. Blem ◽  
Michael H. Shelor
Keyword(s):  
Body Weight ◽  
Multiple Regression ◽  
Weather Conditions ◽  
Multiple Regression Model ◽  
Fine Tuning ◽  
Zonotrichia Albicollis ◽  
Independent Variables ◽  
Average Temperature ◽  
Extreme High Temperature

Midwinter lipid depots of the white-throated sparrow (Zonotrichia albicollis) at Richmond, Virginia, are correlated with a suite of environmental and morphological variables. Lipid reserves allow this species to survive even the most extreme winter conditions for several hours. Variables having the greatest individual correlations with lipid reserve are average temperature of the 20 days prior to capture, fat class, body weight, and long-term (32-year) average temperature of the date of capture. A comprehensive multiple regression model based on analyses of all possible independent variables accounts for 87% of the variation in lipid reserves. The most important independent variables in this model are body weight, mean temperature of the 20 days preceding collection, fat class, extreme high temperature of the day of capture, long-term average temperature, relative humidity, chill factor, wet-bulb temperatures of the day before and the day of capture, wing length, and precipitation. The "best" equation using only measurements of environment as independent variables included time of collection in hours after sunrise and hours before sunset, Eastern Standard Time, temperature of the 20 days prior to capture, and mean wind velocity of the day before capture. Models computed solely from temperature measurements included dry-bulb temperatures of the day of capture and the day before capture, low extreme temperatures of the day of capture, wet-bulb temperatures of the day before capture, and the 20-day average dry-bulb temperature of the period prior to collection. Fattening in response to weather conditions appears to be a form of "fine-tuning" of energy reserves superimposed on a more stable, intrinsic cycle of winter fattening.

scholarly journals Analisis Nisbah dan Angsuran Terhadap Pembiayaan Kredit Usaha Rakyat (KUR) di BriSyariah KCP Genteng Banyuwangi

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Nur Anim Jauhariyah ◽  
Ahmad Saiful Amin
Keyword(s):  
Data Collection ◽  
Small Business ◽  
Multiple Regression ◽  
Quantitative Approach ◽  
Analysis Tool ◽  
Independent Variables ◽  
Using Data

This study uses a quantitative approach by determining the research sample using data collection techniques obtained from the number of respondents 24 customers. The independent variables of this study are Nisbah (X1) and Installments (X2), while the dependent variable (Y) is Financing using micro small business credit products (KUR) iB. The analysis tool uses multiple regression with the help of SPSS software.The results of the study 1) Significantly the ratio (X1) has an effect on the financing (Y) of the people's business credit (KUR) micro and small iB products; 2) Significantly the installment (X2) has no effect on the financing (Y) of the people's business credit (KUR), micro and small iB; 3) Simultaneously, the ratio (X1) and installments (X2) have a significant effect on the financing (Y) of the iB micro and small business credit (KUR) product at BRISyariah KCP Genteng, Banyuwangi Regency.

scholarly journals PENGARUH KOMPETENSI DAN INTEGRITAS TERHADAP KINERJA PERANGKAT DESA

2021 ◽  
Vol 5 (1) ◽  
pp. 24
Author(s):  
Anton Sarni Eka Putra
Keyword(s):  
Data Analysis ◽  
Multiple Regression ◽  
Random Sampling ◽  
Quantitative Methods ◽  
Empirical Test ◽  
Independent Variables ◽  
Descriptive Research ◽  
Analysis Technique ◽  
The Village ◽  
Two Independent Variables

This study aimed to analyze the effect of competence and integrity on the performance of the village apparatus of Sawahlunto City. This research used quantitative methods with associative descriptive research. This study consisted of two independent variables namely competency (X1) and integrity (X2) and one dependent variable, namely performance (Y). The population of this study was all village apparatus of Sawahlunto City, amounting to 50 people. The sample was obtained through proportional random sampling, so that the respondents in this study amounted to 45 samples. The data analysis technique used was multiple regression. The data were collected through a questionnaire that had been validated and reliable in advance, both the content and the item empirical test in the field. The results of this study have found that: 1) There was an effect of competence on performance by 15.4% with a significance of 0.002; 2) There was an effect of integrity on performance of 20.5% with a significance of 0.001; and 3) There was an effect of competence and integrity simultaneously on performance by 45% with a significance of 0.000.

scholarly journals PERBANDINGAN KELAS KATA BAHASA INDONESIA DENGAN BAHASA MELAYU THAILAND SELATAN

EDU-KATA ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 39-48
Author(s):  
Muniroh Machu
Keyword(s):  
Descriptive Study ◽  
Qualitative Descriptive ◽  
Word Classes ◽  
The Difference ◽  
Bahasa Indonesia

Comparison of Indonesian word classes with Southern Thai Malay language is a problem, namely how to compare Indonesian word classes with Southern Thai and Malay languages ​​so that there will be no errors in the use of said classes. The purpose of this study is to describe the similarities, differences and comparisons of Indonesian word classes with Southern Thai Malay. The type of research used in this study is a qualitative descriptive study. The results of the study are a comparison of Indonesian word classes with Southern Thai Malay language can be expressed in the same class of words, namely three word classes: Indonesian verbs with verbs Southern Thai Malay, Indonesian adjectives with the adjectives of South Thai Malay language and Indonesian verbs with language Southern Thai Malay. The difference between Indonesian words and Southern Thai Malay can be distinguished as noun, Pronomina and Numeralia words, adverb words can be found in Indonesian only, while South Thai Malay words can be classed as names.

scholarly journals HUMAN DEVELOPMENT INDEX AND AUDIT OPINION

2018 ◽  
Vol 6 (1) ◽  
pp. 13-22
Author(s):  
Wahyudin Nor ◽  
Muhammad Hudaya ◽  
Rifqi Novriyandana ◽  
Dewi Lesmanawati ◽  
Melllani Yuliastina
Keyword(s):  
Human Development ◽  
Multiple Regression ◽  
Human Development Index ◽  
T Test ◽  
Audit Opinion ◽  
Average Performance ◽  
Development Index ◽  
Analysis Techniques ◽  
The Difference

This study aims to investigate: the influence of human development indeks (HDI) and growth of HDI on auditor opinion and the difference between the level of HDI entities that get the predicate of qualified opinion or non qualified opinion. The data of this research comprise 1.482 out of 496 regency/cities governments in Indonesia during 2014-2016. The analysis techniques used are multiple regression and independent simple t test. The results of this study show that the human development indeks has influence on auditor opinion, the growth of human development indeks has influence on auditor opinion. The results of this study also found that the average performance of HDI between regency/ cities in Indonesia is different between of qualified opinion or non qualified opnion.

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