IMBALAN DAN GAYA KEPEMIMPINAN PENGARUHNYA TERHADAP KEPUASAN KERJA KARYAWAN DI BALAI BESAR INDUSTRI HASIL PERTANIAN BOGOR

2018 ◽  
Vol 1 (01) ◽  
pp. 17
Author(s):  
Ramlan Ruvendi
Keyword(s):  
Job Satisfaction ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Analysis Of Variance ◽  
Partial Correlation ◽  
Multiple Correlation Coefficient ◽  
Multiple Correlation ◽  
Average Value ◽  
Partial Correlation Coefficient

The study was carried out to find out whether there were influence and correlation bet-ween : a) Reward received by the IRDABI’s employees on their job satisfaction. b) style of the leader-ship on the job satisfaction. c) Reward together with style of leadership on the job satisfaction of IR-DABI’s employees.The result of the study showed that there was significant correlation and influence between the reward on the job satisfaction with was shown by the value of partial correlation coefficient of 0.6185 and coefficient of multiple regression for reward variable (β1) of 0.412. The influence of variable for style of leadership on the job satisfaction was also significant with the partial correlation coefficient of 0.5495 and coefficient of multiple regression (β2) of 0.355.In the test of Analysis of Variance (ANOVA) on the equation of multiple regression show that F-value was bigger that F-table (F = 58.97 > F-table = 3.098) or the Probability Value smaller than 0.05. At showed that there was significant correlation and influence between reward variables all together with style of leadership on the job satisfaction of employees. The value of multiple correlation coefficient (R) was 0.751 and R Square (R2) was 0.564. Value of R Square (0.564) meant that 56.5% of variation pro-portion total of job satisfaction can be eliminated of equation of multiple regression was used as the es-timator rather than using average value of job satisfaction as the estimator.

XX.—On the Theory of Statistical Regression

1934 ◽  
Vol 53 ◽  
pp. 260-283 ◽  
Author(s):  
M. S. Bartlett
Keyword(s):  
Correlation Coefficient ◽  
Partial Correlation ◽  
Regression Coefficient ◽  
Multiple Correlation Coefficient ◽  
Statistical Regression ◽  
Multiple Correlation ◽  
Partial Regression ◽  
Partial Regression Coefficient ◽  
Moment Distribution ◽  
A Chain

1. The product moment distribution in the general case of p normal variates, obtained in 1928 (1), and again in 1933 (2), has been awaiting further analysis. Some indication has already been given (Wishart, 1928) that new results might be expected from it; in the particular case of two variates obtained previously by Fisher (3), it has been used to deduce the distributions of the correlation coefficient (3), co-variance (4), and regression coefficient (5). In the general case, it has been used by Wilks (6) to furnish a proof of Fisher's distribution of the multiple correlation coefficient (7), and also in connection with his idea of a generalized variance (8). Further analysis appears to be most fruitful in studying statistical regression in general. It is shown in Part I of this paper that the product moment distribution can be split up into a chain of independent factors. Most of the known distributions related to regression or partial correlation are simply obtained, in a manner which clearly indicates the relations they bear to one another; the distribution of a partial regression coefficient of any order is also readily derived.

scholarly journals On the partial correlation ratio

1915 ◽  
Vol 91 (632) ◽  
pp. 492-498 ◽  
Keyword(s):  
Linear Regression ◽  
Correlation Coefficient ◽  
Partial Correlation ◽  
Regression Line ◽  
Multiple Correlation Coefficient ◽  
Correlation Ratio ◽  
Multiple Correlation ◽  
Non Linear ◽  
Single Number ◽  
Gaussian Surface

(1) In a paper communicated to the Royal Society in 1903 I gave very briefly in a footnote the properties of the correlation ratio . These properties were discussed more at length in my memoir, “On the General Theory of Skew Correlation and Non-linear Regression,” published in 1905. The two papers dealt only with the total correlation ratio , or the relation between two variates without consideration of any other correlated variates. The introduction of the correlation ratio enabled the measure of the relationship between two variates to be expressed by a single number, measuring its total intensity, in cases where the regression line was of any form. The ratio passed into the usual correlation coefficient when the regression line became straight. This correlation ratio has been generally accepted by statisticians as a useful measure of relationship in cases of skew correlation and non-linear regression. Shortly after the appearance of the above memoirs I generalised this coefficient in a manner comparable with the generalisation of the coefficient of correlation, namely, by the definitions of the multiple correlation ratio and of the partial correlation ratio . These ratios correspond to the multiple correlation coefficient and the partial correlation coefficient in multiple linear regression. Their importance is very considerable, as they enable us to measure the intensity of association between two variates when other correlated variates are considered as constant without any assumption that the regression is linear, still less that the frequencies follow the normal (or Laplace-Gaussian) surface. I had not intended to discuss the results of the present paper before the probable errors had been provided, but the recent revival of interest in skew regression, and its fundamental importance in all higher statistical inquiry, justifies, at least, the publication of those formulæ which are fundamental to the subject. (2) I deal first with the problem of three variates, although the extension to any number is not hard to make.

scholarly journals PENGARUH KOMPENSASI DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA PT. TUNAS JAYA UTAMA

2020 ◽  
Vol 5 (2) ◽  
pp. 1-10
Author(s):  
Rini Astuti ◽  
Suhendri
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Employee Performance ◽  
Multiple Correlation Coefficient ◽  
Coefficient Of Determination ◽  
Multiple Correlation ◽  
F Test ◽  
Analysis Techniques

This study aims to determine the effect of compensation on the performance of employees of PT. Jaya Jaya Utama. This study aims to determine the effect of motivation on the performance of PT.Tunas Jaya Utama employees. This study has the aim to determine the effect of compensation and motivation on the performance of PT.Tunas Jaya Utama employees. The population of this research is 32 employees of PT. Tunas Jaya Utama. Data collection techniques in this study were interviews, documentary studies and questionnaires, while the data analysis techniques used were the classic assumption test, multiple regression, T test, F test, and the coefficient of determination. There is an effect of compensation and motivation on employee performance at PT. Tunas Jaya Utama where the count is 0.349. The multiple correlation coefficient values ​​together between motivation and workload on performance obtained Rx1x2y = 0.723. This positive value means that if compensation and motivation are increased the performance will increase. From the F test it was obtained 15,853 with sig 0,000 <0,05, indicating that Ho was rejected and Ha was accepted, meaning compensation (X1) and motivation (X2) had a significant effect on performance (Y) at the 0.05 level. The coefficient of determination obtained (R-Square) is 0.522 or 52.20%, indicating that around 52.20% the variable Y can be explained by the compensation variable (X1) and motivation (X2) or practically it can be said that the contribution of compensation (X1) and motivation (X2) on performance (Y) is 52.20%, the rest is influenced by other variables not examined.

scholarly journals Authentic Leadership Behavior in Public Middle School

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Johansyah Johansyah
Keyword(s):  
Correlation Coefficient ◽  
Junior High School ◽  
Partial Correlation ◽  
Junior High ◽  
School Principals ◽  
Sampling Technique ◽  
Multiple Correlation Coefficient ◽  
Teaching Staff ◽  
Managerial Skills ◽  
Partial Correlation Coefficient

This study aims to determine the effect of managerial competence and cooperation of school principals on the job satisfaction of educators in state junior high schools in East Borneo. This research uses quantitative and descriptive approaches. In terms of this type of research is a type of correlational research that is research that seeks to connect two or more variables based on facts that have occurred through data collection, data processing, then analyzing and finally explaining according to facts. The population of this study was all school principals and state junior high school teachers in East Borneo (South Balikpapan and East Kutai). The sampling technique uses this purposive sampling technique by taking schools in the Municipality of Balikpapan and East Kutai with a total of 20 teachers. The results of this study indicate that there is a positive and significant correlation between the managerial skills of school principals ((X1) and the satisfaction of teachers (Y) of SMP in East Borneo with a partial correlation coefficient of 0.450. then known that there is a significant correlation between the cooperation of principals (X2) on the satisfaction of teaching staff (Y) SMP in East Borneo with a partial correlation coefficient of 0.209. and there is a significant influence between the managerial skills of principals (X1) and collaboration of principals (X2) on the satisfaction of educators (Y) Middle East Borneo Middle Schools with a multiple correlation coefficient (Multiple R) of 0.440 which means that the managerial skills of principals ((X1) and the cooperation of school principals (X2) towards the satisfaction of educators (Y) is 44.0% so that the high and low level of managerial skills in school principals, and the cooperation of school principals will determine the satisfaction of teacher performance.This study aims to determine the effect of managerial competence and cooperation of school principals on the job satisfaction of educators in state junior high schools in East Borneo.[MOU1]  This research uses quantitative and descriptive approaches[MOU2] . In terms of this type of research is a type of correlational research that is research that seeks to connect two or more variables based on facts that have occurred through data collection, data processing, then analyzing and finally explaining according to facts. The population of this study was all school principals and state junior high school teachers in East Borneo (South Balikpapan and East Kutai). The sampling technique uses this purposive sampling technique by taking schools in the Municipality of Balikpapan and East Kutai with a total of 20 teachers. The results of this study indicate that there is a positive and significant correlation between the managerial skills of school principals ((X1) and the satisfaction of teachers (Y) of SMP in East Borneo with a partial correlation coefficient of 0.450. then known that there is a significant correlation between the cooperation of principals (X2) on the satisfaction of teaching staff (Y) SMP in East Borneo with a partial correlation coefficient of 0.209. and there is a significant influence between the managerial skills of principals (X1) and collaboration of principals (X2) on the satisfaction of educators (Y) Middle East Borneo Middle Schools with a multiple correlation coefficient (Multiple R) of 0.440 which means that the managerial skills of principals ((X1) and the cooperation of school principals (X2) towards the satisfaction of educators (Y) is 44.0% so that the high and low level of managerial skills in school principals, and the cooperation of school principals will determine the satisfaction of teacher performance. [MOU1]don't need to be listed  [MOU2]should be: This research uses Descriptive method and quantitative approach.

scholarly journals Pengaruh Kecemasan Matematika dan Motivasi Belajar terhadap Prokrastinasi Akademik

2020 ◽  
Vol 3 (1) ◽  
pp. 42
Author(s):  
Nanda Mellenia Amin Putri ◽  
Ika Kurniasari
Keyword(s):  
Correlation Coefficient ◽  
Mathematics Anxiety ◽  
Partial Correlation ◽  
Mathematics Learning ◽  
Multiple Correlation Coefficient ◽  
Learning Motivation ◽  
Coefficient Of Determination ◽  
Academic Procrastination ◽  
Negative Effects ◽  
Partial Correlation Coefficient

Abstrak — Prokrastinasi adalah penundaan yang disengaja dalam mengerjakan suatu pekerjaan. Efek dari prokrastinasi dapat berakibat negatif pada emosi, mengakibatkan stress, dan akan mengganggu kegiatan sehari-hari. Jenis prokrastinasi yang berhubungan dengan kerja akademik adalah prokrastinasi akademik. Dengan mengingat pentingnya matematika dalam sehari-hari, peserta didik diharapkan dapat meminimalisir perilaku prokrastinasi akademik yang berefek negatif pada keoptimalan kerja akademik dan efikasi akademik pada matematika. Faktor-faktor yang dapat mempengaruhi tinggi rendahnya prokrastinasi akademik adalah kecemasan matematika dan motivasi belajar. Kecemasan matematika adalah kecemasan yang disebabkan oleh peristiwa yang berhubungan dengan matematika yang akan terjadi di masa yang akan datang. Sedangkan motivasi belajar adalah dorongan-dorongan yang membuat seseorang melakukan kegiatan belajar. Tujuan penelitian ini adalah untuk mengetahui pengaruh dari kecemasan matematika dan motivasi belajar terhadap prokrastinasi akademik. Dengan sampel 31 peserta didik SMAN 1 Krian, data dikumpulkan dengan menggunakan angket kecemasan matematika, angket motivasi belajar, dan angket prokrastinasi akademik. Pengaruh kecemasan matematika dan motivasi belajar terhadap prokrastinasi akademik dicari dengan menggunakan koefisien korelasi dan koefisien penentu. Koefisien korelasi berganda kecemasan matematika dan motivasi belajar dengan prokrastinasi akademik adalah 0,451 dengan koefisien penentu berganda 20,3%. Kemudian koefisien korelasi parsial kecemasan matematika dengan prokrastinasi akademik apabila motivasi belajar dikontrol adalah 0,423 dan koefisien penentu parsial sebesar 17,89%. Koefisien korelasi parsial motivasi belajar dengan prokrastinasi akademik apabila kecemasan matematika dikontrol adalah -0,141 dan koefisien penentu parsialnya adalah sebesar 1,98%.Kata Kunci: kecemasan matematika, motivasi belajar, prokrastinasi akademik. Abstract — Procrastination is an intentional delay in doing activities. Procrastination can cause negative effects on emotions, stress, and interfering with everyday life. Procrastination type that related to academic work is academic procrastination. On a more important note, we need to keep in mind how important mathematics is in our lives and students are expected to minimalize academic procrastination behavior that could make academic works less optimal and negative effects on academic efficacy on mathematics learning. Many factors could contribute to academic procrastination levels. Two of them are mathematics anxiety and learning motivation. Mathematics anxiety is an anxious feeling caused by events related to mathematics that will happen in the future. Whilst learning motivation is the stimulus that drives a person to learn. The aim of this research is to find out the relationship between mathematics anxiety and learning motivation with academic procrastination. Using 31 students of SMAN 1 Krian as the sample, the data is gathered with a mathematics anxiety questionnaire, learning motivation questionnaire, and academic procrastination questionnaire. The multiple correlation coefficient of mathematics anxiety and learning motivation with academic procrastination is 0,451 while the coefficient of determination is 20,3%. The partial correlation coefficient of mathematics anxiety with academic procrastination is 0,423 while the coefficient of determination is 17,89%. Lastly, the partial correlation coefficient of learning motivation with academic procrastination is -0,141 while the coefficient of determination is 1,98%.Keywords: mathematics anxiety, learning motivation, academic procrastination.

scholarly journals Synovial fluid but not plasma interleukin-8 is associated with clinical severity and inflammatory markers in knee osteoarthritis women with joint effusion

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
María García-Manrique ◽  
Joan Calvet ◽  
Cristóbal Orellana ◽  
Antoni Berenguer-Llergo ◽  
Silvia Garcia-Cirera ◽  
...  
Keyword(s):  
Synovial Fluid ◽  
Knee Osteoarthritis ◽  
Correlation Coefficient ◽  
Inflammatory Markers ◽  
Partial Correlation ◽  
Statistical Significance ◽  
Clinical Severity ◽  
Joint Effusion ◽  
Cross Sectional ◽  
Partial Correlation Coefficient

AbstractSeveral cytokines and adipokines are related to clinical severity and progression in knee osteoarthritis. The aim of this study was to evaluate the associations of IL-8 with clinical severity and with local and systemic adipokines and cytokines. This is a Cross-sectional study including 115 women with symptomatic primary knee osteoarthritis with ultrasound-confirmed joint effusion. Age, symptoms duration and body mass index were collected. Radiographic severity was evaluated according to Kellgren–Lawrence. Pain and disability were assessed by Lequesne and Knee injury and Osteoarthritis Outcome Score pain, symptoms and function scales. Three inflammatory markers and five adipokines were measured by ELISA in serum and synovial fluid. Partial correlation coefficient (PCC) and corresponding 95% confidence interval were used to evaluate association. Synovial fluid IL-8 was significantly associated with clinical severity scales. After controlling for potential confounders, associations measured by a Partial Correlation Coefficient (PCC) remained essentially unaltered for Lequesne (PCC = 0.237), KOOS pain (PCC = − 0.201) and KOOS symptoms (PCC = − 0.209), KOOS function (PCC = − 0.185), although the later did not reach statistical significance. Also in synovial fluid samples, associations were found between IL-8 and TNF (PCC = 0.334), IL6 (PCC = 0.461), osteopontin (PCC = 0.575), visfatin (PCC = 0.194) and resistin (PCC = 0.182), although significance was not achieved for the later after statistical control for confounders. None of these associations were detected in serum. In conclusion, IL-8 was associated with clinical severity, inflammatory markers and adipokines in synovial fluid, but not in blood. Although the reported associations are weak to moderate in magnitude, these findings reinforce the notion that local and not systemic inflammation is more relevant to clinical severity in knee OA women with joint effusion.

Thyroid function in hyperemesis gravidarum

1989 ◽  
Vol 120 (2) ◽  
pp. 155-160 ◽  
Author(s):  
R. Swaminathan ◽  
R. K. Chin ◽  
T. T. H. Lao ◽  
Y. T. Mak ◽  
N. S. Panesar ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Partial Correlation ◽  
Hyperemesis Gravidarum ◽  
Zinc Content ◽  
Normal Pregnancy ◽  
Uncomplicated Pregnancy ◽  
Wide Variability ◽  
Molecular Variant ◽  
Tissue Marker ◽  
Partial Correlation Coefficient

Abstract. Plasma total T4 (TT4), T3 (TT3), free T4 (FT4), free T3 (FT3), thyroxine binding globulin, hCG, and erythrocyte zinc content were measured in 43 women with uncomplicated pregnancy and in 71 patients admitted with hyperemesis gravidarum. Plasma concentration of thyroid hormones in hyperemesis subjects showed wide variability and 32% of subjects had high TT4 (higher than mean +2 sd of normal pregnant subjects), 33% had high FT4, 20% had high TT3, and 20% had high FT3. Red cell zinc content, a tissue marker of thyroid status, in the hyperthyroxinemic subjects was not different from that of normothyroxinemic hyperemesis subjects or of subjects with uncomplicated pregnancy. The elevated TT4 concentration decreased spontaneously in all but two of the hyperemesis subjects to normal pregnant levels. The plasma FT4 concentration at presentation correlated with plasma hCG in hyperemesis gravidarum (partial correlation coefficient r = 0.411, P< 0.01), but not in normal pregnancy (partial correlation coefficient r = 0.043) after allowing for the effect of gestational age. We conclude that approximately one third of hyperemesis subjects show transient hyperthyroxinemia and suggest that hCG or a molecular variant of hCG may stimulate the thyroid gland.

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