Multivariate ANOVA of College Students’ Mental Health

2011 ◽  
Vol 403-408 ◽  
pp. 1428-1431
Author(s):  
Qing Jia ◽  
Ling Ling Mu
Keyword(s):  
Mental Health ◽  
Multivariate Analysis ◽  
Small Towns ◽  
Large Cities ◽  
Independent Variables ◽  
University Of Technology ◽  
College Student Mental Health ◽  
Dependent Variables ◽  
Chinese College Student ◽  
Better Than

This paper used multivariate analysis of variance (MANOVA) method to investigate whether changes in the independent variables such as gender, age, family location etc, have significant effects on the dependent variables. Date was collected from students in Hebei University of Technology, by using Chinese College Student Mental Health Scale (CCSMHS). Result shows that interaction from four factors such as interactions among gender, only-child, major and family location have significant influence on anxiety. Different family locations also affect some dimensions. Mental health of students grow in large cities is significantly better than those from small and medium-sized cities, small towns and rural.

PENGARUH PERSONAL BACKGROUND, POLITICAL BACKGROUND DAN PENGEATAHUAN DEWAN TENTANG ANGGARAN TERHADAP PERAN DPRD DALAM PENGAWASAN KEUANGAN DAERAH

2008 ◽  
Author(s):  
Yesi Mutia Basri ◽  
Rosliana Rosliana
Keyword(s):  
Multivariate Analysis ◽  
Significant Influence ◽  
Political Activity ◽  
Primary Data ◽  
Financial Control ◽  
Independent Variables ◽  
Dependent Variables ◽  
Political Background ◽  
Activity Dependent

This research aim to examine the influence of personal background, political background, and council budget knowledge towards the role of DPRD on region financial control. This research is motivated by the fact that individual background will effect to individual behavior on political activity. Dependent variables in this research are personal background, political background, and council budges knowledge towards the role of DPRD on region financial control Independent variables are the role of DPRD on region financial control in planning, implementing, and responsibility steps. The data in this research consist of primary data that taken from questionnaires distributed directly to respondents. The collected are from 34 Respondents that members of DPRD at Pekanbaru. Hypothesis of this research are examine by using Multivariate Analysis of Variances (MANOVA). The result of this research HI personal background political background and budget knowledge have significant influence toward the role of DPRD on region financial control in planning steps.H2 personal background, politico I background and budget knowledge have no significant influence toward the role of DPRD on region financial control in Implementing steps. H3 personal background political background and budget knowledge have no significant influence toward the role of DPRD on region financial control in Controlling steps.

scholarly journals Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers

2019 ◽  
Vol 3 (1) ◽  
pp. 65-72
Author(s):  
Yulianto Yulianto ◽  
Namira Robihaningrum ◽  
Bella Dhea Elinda
Keyword(s):  
Multivariate Analysis ◽  
Data Analysis ◽  
Research Methods ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Scientific Research ◽  
Independent Variables ◽  
Several Variables ◽  
Dependent Variables ◽  
Scientific Papers

The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time

scholarly journals Effect of Augmented Reality and Simulation on the Achievement of Mathematics and Visual Thinking Among Students

2019 ◽  
Vol 14 (18) ◽  
pp. 164
Author(s):  
Osamah Mohammad Aldalalah ◽  
Zyad Ababneh ◽  
Ali Bawaneh ◽  
Wafa Alzubi
Keyword(s):  
Augmented Reality ◽  
Visual Thinking ◽  
Independent Variables ◽  
Dependent Variables ◽  
Quasi Experimental ◽  
Experimental Type ◽  
Better Than

The purpose of this study was to investigate the effect of augmented reality and simulation on the achievement of mathematics and visual thinking among students. The study sample consisted of 86 students of mathematics divided into two treatments in a random way. This study utilized the quasi experimental type of methodology. The independent variables were the instruction (augmented reality & simulation). The dependent variables were the students’ achievement and visual thinking. The findings of this study showed that students using the augmented reality mode performed significantly better than those in the simulation mode in achievements and visual thinking.

scholarly journals Pengaruh Kesehatan Mental, Keaktifan Berorganisasi dan Prestasi AkademikTerhadap Tingkat Pemahaman Moderasi Beragama

2020 ◽  
Author(s):  
H. HERIANTO
Keyword(s):  
Mental Health ◽  
Quantitative Research ◽  
Direct Influence ◽  
Independent Variables ◽  
Dependent Variables ◽  
Mental Efficiency ◽  
Efficiency Test ◽  
Level Of Understanding ◽  
Dependent Samples ◽  
Active Organization

This research is quantitative research with the design of research hypothesis testing studies aimed at analyzing, describing, and obtaining empirical evidence of a pattern of relations between two or more variables, both correlational (correlation), causality and comparatively (comparative). This research aims to seek direct influence and indirect influence between mental health, active organization and academic achievement of students (independent variables) with the level of understanding of religious moderation (variable dependent). Samples in the study of 86 people. The method of collecting data used for mental health variables is to use a validated mental efficiency test from an official institution/hospital/a credible psychologist. While the learning achievement variables are taken from the student learning documentation. The active variables of the organization and the level of understanding of religious moderation are the poll methods. The poll used is a closed poll that has provided the answer. Test the significance of the influence of variables independent of the dependent variables simultaneously using the F test and partially using the T test.

Analysis of Course Type, Gender, and Personal Incentives to Exercise

1994 ◽  
Vol 78 (1) ◽  
pp. 155-159 ◽  
Author(s):  
Mel E. Finkenberg ◽  
James M. Dinucci ◽  
Sandra L. McCune ◽  
E. Donice McCune
Keyword(s):  
Physical Activity ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Canonical Discriminant Analysis ◽  
Men And Women ◽  
Independent Variables ◽  
Significant Difference ◽  
Dependent Variables ◽  
And Gender ◽  
Main Effects

206 women and 88 men enrolled in classes requiring different amounts of physical activity were administered the Personal Incentives for Exercise Questionnaire A two-way multivariate analysis of variance, with course type and gender as the categorical independent variables and 10 subscale scores representing incentives to exercise as the multivariate dependent variables, was completed. Canonical discriminant analysis was used to identify which of the incentives is most useful in discriminating among participants in active and less active classes or between men and women. For main effects, analysis indicated an over-all significant difference for both course type and gender. Men scored higher than women on activity and on competition, for example, while women scored higher on appearance and weight management.

scholarly journals The Effectiveness of the Different Patterns of the Digital Story in the Development Linguistic Intelligence Skills and Mindfulness Among Jordanian Primary Students During the Corona Pandemic

2021 ◽  
Vol 15 (19) ◽  
pp. 4
Author(s):  
Osamah Mohammad Ameen Aldalalah
Keyword(s):  
Statistical Analysis ◽  
Arabic Language ◽  
Primary Students ◽  
Simple Random Sample ◽  
Independent Variables ◽  
Dependent Variables ◽  
Digital Story ◽  
Quasi Experimental ◽  
Main Effects ◽  
Better Than

<p>The purpose of this study was to investigate effectiveness of the different pattern of the digital story in the development linguistic intelligence skills and Mindfulness in Jordanian primary students during the Corona pandemic. Quasi experimental factorial design was adopted in this research. The researcher designed two patterns of the digital story in the Arabic language course. The study sample consisted of 43 students and were randomly (simple random sample) selected. The study sample was divided into two groups. The first group consisted of 23 students who studied through a written digital story, as for the second group, it consisted of 20 students who studied through the digital audiovisual story. The dependent variables were the linguistic intelligence skills and Mindfulness. The researcher used two scales. The first is to measure linguistic intelligence skills, and the second is to measure mindfulness. Data were collected and appropriate statistical analysis performed.  ANCOVA was used to determine the significant differences among the two groups.  Analyses of covariance (ANCOVA) were performed to examine the main effects of the independent variables on the dependent variables.  The findings of this study showed that students using the digital audiovisual story mode performed significantly better than those students using the written digital story in the linguistic intelligence skills, and mindfulness.</p>

scholarly journals Perbandingan Kinerja Kapal-kapal Tanker Angkutan BBM dan Minyak Mentah Menggunakan Multivariate Analysis of Variance: Studi Kasus PT. Pertamina (Persero)

2017 ◽  
Vol 29 (1) ◽  
pp. 45
Author(s):  
Catur Winarto ◽  
Budhi Hascaryo Iskandar ◽  
Yandra Arkeman
Keyword(s):  
Multivariate Analysis ◽  
Crude Oil ◽  
Analysis Of Variance ◽  
Independent Variables ◽  
Significant Difference ◽  
Dependent Variables ◽  
Shipping Cost ◽  
Wilks Lambda ◽  
Speed Performance ◽  
Oil Tankers

ABSTRAK: Pertamina sebagai badan usaha milik negara dipercaya untuk mendistribusikan BBM dan mengangkut minyak mentah ke seluruh pelosok Indonesia dengan mengoperasikan kapal-kapal tanker menurut tipe dan muatan yang diangkut.Kinerja kapal-kapal tanker penting diketahui karena tuntutan efisiensi biaya pengapalan. Hasil penelitian menunjukkan bahwa kinerja kecepatan kapal tertinggi (13,2940 knot) ditunjukkan oleh kapal tipe GP, sedangkan dan kinerja kecepatan kapal terburuk (10,5233 knot) ditunjukkan oleh kapal tipe MR masing-masing sebagai angkutan minyak mentah. Kinerja susut muatan terbaik (0,02683%) ditunjukkan oleh kapal tipe MR angkutan minyak mentah, dan terburuk (0,05669%) ditunjukkan oleh kapal tipe GP angkutan komponen BBM. MANOVA digunakan untuk menganalisis pengaruh antara variabel bebas tipe kapal dan muatan yang diangkut terhadap variabel kinerja kecepatan kapal dan susut muatan. Hasil analisis menunjukkan bahwa nilai F untuk Pillai’s Trace, Wilks’ Lambda, Hotelling’s Trace, dan Roy’s Largest Root memiliki signifikansi lebih kecil dari 0,01 artinya terdapat perbedaan yang signifikan untuk kinerja kecepatan kapal dan susut muatan menurut tipe kapal dan kargo yang diangkut. Dari hasil tests of between subjects effects, dapat disimpulkan bahwa tipe kapal dan kargo yang diangkut berpengaruh signifikan terhadap kecepatan kapal yang ditunjukkan pada nilai F dengan signifikansi 0,001, tetapi tidak berpengaruh signifikan terhadap susut muatan, sebagaimana ditunjukkan pada nilai F dengan signifikansi 0,997.ABSTRACT : Pertamina as a state-owned enterprise was trusted to transport product oil and crude oil to all corners of Indonesia by operating oil tankers according to type and cargo transported. Tankers’ performance were important to know due to efficiency in shipping cost. Results of this study showed that the fastest speed performance (13.2940 knots) was shown by the type of vessel GP, while the slowest performance (10.5233 knots) was indicated by the type of vessel MR, both of them carried crude oil. While the best performance of transportation loss was demonstrated by the type of vessel MR with cargo crude oil that was 0.02683%, and the worst was indicated by the type of vessel GP with cargo intermediate that was 0.05669%. MANOVA was used to analyse influences independent variables the type of vessel and the cargo transported on the dependent variables the performance of speed and transportation loss. The result expressed that F value of Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root was significant, smaller than 0.01. It was meant that there was a significant difference to the performance of the speed and the transportation lossses according to the type of vessel and the cargo transported. Hence, the results of the tests of between subjects effects indicated that the type of vessel and the cargo transported significantly effected on the speed as indicated by the F value with significance value 0.001, but no significant effect on the transportation loss, as indicated on the F value with significance value 0.997.

scholarly journals Individual microentrepreneurs and economic development in the municipalities of São Paulo from 2010 to 2014

2021 ◽  
Author(s):  
Lawton Nanni Benatti ◽  
Edimilson Eduardo da Silva ◽  
Leandro Campi Prearo
Keyword(s):  
Small Businesses ◽  
Socioeconomic Development ◽  
Sao Paulo ◽  
High Variability ◽  
São Paulo ◽  
Large Cities ◽  
Independent Variables ◽  
Public Managers ◽  
Dependent Variables ◽  
Municipal Development

Study Aims: to analyze the significant relationship contribution of Individual Microentrepreneurs (MEI) in the socioeconomic development of São Paulo municipalities in the period from 2010 to 2014. Methodology: quantitative approach, of an explanatory nature, with documentary research on data from 637 municipalities in the state of São Paulo. Based on the studies by Silva & Porto Júnior (2006) and Caldarelli & Perdigão (2018), the Gross Domestic Product (Municipal GDP) and the Firjan Municipal Development Index (IFDM) were defined as dependent variables and the total of Existing MEIs per municipality. Main results: there were evidenced positive and significant coefficients of MEI´s in 24 municipalities in São Paulo with low and medium socioeconomic growth, in 2014. Methodological contributions: use of the Quantile Regression technique, more appropriate to estimate independent variables categorized by high variability, as demonstrated in the studies by Hao & Naiman (1949), Santos (2012), Das, Krzywinski & Altman (2019) and Koenker & Hallock (2001). Relevance and originality: the study expands, in part, the understanding of previous studies on the different relationships pointed out between the MEI, the GDP and the IDFM of municipalities in different categories of municipal socioeconomic development. Contributions to management: public managers, from both small and medium or large cities, based on differentiated actions consistent with each context, have a policy of fostering and supporting the creation of micro and small businesses with one of the effective ways to enhance and impact socioeconomic development.

ANALISA PENGARUH IKLIM ORGANISASI DAN KOMPETENSI TERHADAP KINERJA PEGAWAI PT HUTAMA KARYA

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Wardhana, MM.
Keyword(s):  
Organizational Climate ◽  
Employee Performance ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Free Variable ◽  
Independent Variables ◽  
Dependent Variables ◽  
Correlational Approach ◽  
Survey Research Methods ◽  
The Relationship

This study entitled "Analysis of Effect of Climate Organization and Competence Againt Employee PT. Hutama Karya ". The purpose of this study was to obtain information on the relationship between the free variable that organizational climate (X1) and competence (X2) with the dependent variable is employee performance (Y), either partially or simultaneously, This study used survey research methods with the correlational approach and predictive, which aims for the relationship and influence between independent and dependent variables. The sampling technique can be done randomly (simple random sampling) of 852 employees, which is considered to resprentatif is 89 people. And to solve problems, to analyze and examine the relationship and influence between the independent variables on the dependent variable used models kausalistik through regression analysis with SPSS 14.0

scholarly journals Weight Feedback-Based Harmonic MDG-Ensemble Model for Prediction of Traffic Accident Severity

2021 ◽  
Vol 11 (11) ◽  
pp. 5072
Author(s):  
Byung-Kook Koo ◽  
Ji-Won Baek ◽  
Kyung-Yong Chung
Keyword(s):  
Traffic Accidents ◽  
Average Rate ◽  
Modern Society ◽  
Rate Of Change ◽  
Weighted Voting ◽  
Independent Variables ◽  
Dependent Variables ◽  
Accident Severity ◽  
Harmonic Average ◽  
Bagging Method

Traffic accidents are emerging as a serious social problem in modern society but if the severity of an accident is quickly grasped, countermeasures can be organized efficiently. To solve this problem, the method proposed in this paper derives the MDG (Mean Decrease Gini) coefficient between variables to assess the severity of traffic accidents. Single models are designed to use coefficient, independent variables to determine and predict accident severity. The generated single models are fused using a weighted-voting-based bagging method ensemble to consider various characteristics and avoid overfitting. The variables used for predicting accidents are classified as dependent or independent and the variables that affect the severity of traffic accidents are predicted using the characteristics of causal relationships. Independent variables are classified as categorical and numerical variables. For this reason, a problem arises when the variation among dependent variables is imbalanced. Therefore, a harmonic average is applied to the weights to maintain the variables’ balance and determine the average rate of change. Through this, it is possible to establish objective criteria for determining the severity of traffic accidents, thereby improving reliability.

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