Factor analysis of H2S emission at a wastewater lift station: a case study

2012 ◽  
Vol 185 (4) ◽  
pp. 3551-3560 ◽  
Author(s):  
Dong Chen ◽  
Paul Szostak
Keyword(s):  
Factor Analysis ◽  
H2s Emission

Professional Stress among Junior Commissioned Officers and Non Commissioned Officers of Indian Military Intelligence – A Case Study

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 133-145
Author(s):  
Dr. S. S. Nirmala ◽  
Dr. N. Kogila ◽  
T. Porkodi
Keyword(s):  
Factor Analysis ◽  
Correlation Matrix ◽  
Null Hypothesis ◽  
Primary Data ◽  
Questionnaire Data ◽  
Military Intelligence ◽  
Sphericity Test ◽  
Professional Stress ◽  
Structured Questionnaire

The present study is focusing on the professional stress on organisation among the Junior Commissioned Officers (JCOs) and Non-Commissioned Officers (NCOs) of Indian Military Intelligence. 384 samples of Military Intelligence personnel will be taken for this study. Sources of data is Primary data include a structured questionnaire. Data was collected through structured questionnaire and measure through Likert’s scale, using KMO measure of sampling adequacy, Cronbach’s alpha for checking internal consistency, Bartlett sphericity test for testing the null hypothesis and various factor analysis including Eigenvalues, Extract square Sum loading, variance percent and Accumulation percent values relative comparison and Correlation matrix will be used as tools to arrive at desired results and statistical interpretations. The hypotheses put for test and the resultant values at 0.01 and 0.05 (for different factors) clearly indicated that there is an existence of association between different level of cadres and professional stress among personnel of Indian Military Intelligence. The authority who can formulate the rules and regulations and binding them on the lower cadres and professions to accept and adopt.

scholarly journals Konflik Penolakan Ritual Doa Leluhur Paguyuban Padma Buana di Pedukuhan Mangir Bantul, Yogyakarta

SMART ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 49-62
Author(s):  
Setyo Boedi Oetomo
Keyword(s):  
Factor Analysis ◽  
Cultural Tourism ◽  
Analysis Techniques ◽  
Root Cause ◽  
Multiple Factors ◽  
Tourism Management ◽  
The People ◽  
Local Residents ◽  
The Village

The people of Yogyakarta are known for their tolerance, where people of different religions can coexist peacefully especially with Javanese traditions. But in Mangir, a village in Bantul, Yogyakarta, in November 12, 2019, there was a case of local residents rejecting the procession of ancestral prayer rituals by the Paguyuban Padma Buana (PPB) who claims to be followers of Javanese Hinduism. This study aimed at disclosing the elements and roots of conflict from the Mangir community's rejection towards Paguyuban Padma Buana. As a case study, it used conflict analysis approach through timeline and factor analysis techniques. The results showed that the open conflict between the two groups has occurred since 2012 with the main issue of syncretic ritual practices of Hinduism, Buddhism, and Kejawen (Javanism) that involve people from various religions. In addition, the Maha Lingga Padma Buana Temple as a place of whorship and rituals has also the license problems. Reconciliation was carried out between residents with the Padma Buana followers in 2015. Unfortunately it was violated by the Paguyuban Padma Buana and became a trigger of conflict back in 2019. The cause of this conflict is multiple factors, all of which are interrelated. However, the root cause of the problem among Mangir people is mostly related to traditional revivalism and the distribution of cultural tourism management authorities. This conflict makes them polarized and vulnerable to interests that can create the village atmosphere worse

scholarly journals Primary components in shaping koperasi masjid’s participation level: Employing a principle component analysis approach

2018 ◽  
Vol 31 (3) ◽  
pp. 318
Author(s):  
Fitriani Fitriani ◽  
Sudiyo Sudiyo ◽  
Dayang Berliana ◽  
Evi Yuniarti
Keyword(s):  
Factor Analysis ◽  
Strong Correlation ◽  
Principal Component ◽  
Component Analysis ◽  
Primary Factor ◽  
Analysis Approach ◽  
Second Primary ◽  
Study Approach ◽  
Participation Level

Koperasi masjid present themselves as a part of muamalah through Sharia economic facilitation. This study was conducted to analyse the cooperative members’ participation level in relation to the implementation of a cooperative business program. A survey using a case study approach was conducted at koperasi Masjid Hafshotul Iman, Masjid Taqwa and Masjid Darul HikmahThe survey employed a purposive sampling method with the participation of the cooperative’s management (chairman, secretary, and treasurer) and the masjid’s members. Ten respondents were purposively chosen from each mosque and a total 30 respondents were acquired. The distributed questionnaire was a closed one, measured with a Likert scale. The results were analysed using factor analysis and the Principal Component Analysis approach (PCA). Based on the results of the factor analysis, the members’ participation level in cooperative service can be classified into three primary factors. Some of the variables displayed a strong correlation with Factor 1, namely motivation, management performance, RAT performance, and supervisor performance. The second primary factor was formed by activeness in participating in cooperative activities. Lastly, the third primary factor encompassed three variables with a strong correlation, namely age, education, and membership duration.

scholarly journals The role and importance of value-based segmentation on the cohort of millennials: Case study Serbia

Marketing ◽  
2021 ◽  
Vol 52 (1) ◽  
pp. 43-57
Author(s):  
Tatjana Mamula-Nikolić ◽  
Nenad Perić ◽  
Stefan Alimpić
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Population Structure ◽  
Generation Y ◽  
National Sample ◽  
Urban Rural ◽  
Research Findings ◽  
The Subject ◽  
Representative National Sample

The paper deals with the value-based segmentation conducted on Millennials generation in Serbia. It presents the research findings of the five segments of the Serbian Millennials according to their values and life style. The subject of defining the set of segments was processed by conducting a cluster and factor analysis on the representative national sample of Millennials in Serbia. Once the cluster analysis discovered the segments, the next step was to understand the essence of the clusters or segments. The sample is consisted of 1000 respondents, reflecting the population structure of the Serbian generation Y according to gender, age, region and type of settlement (urban / rural). The analysis showed some quite interesting and in some parts contradictory results. The results of this survey are relevant for sociologists, strategists, communications professionals and managers who are interested in this generation of voters, consumers, employees, leaders and entrepreneurs.

Assesment of the Local Government’s Efforts in Challenging to Environmental Problems Using Factor Analysis: A Case Study of Turkey

2006 ◽  
Vol 6 (5) ◽  
pp. 1052-1058 ◽  
Author(s):  
Kemal Esengun ◽  
Orhan Gunduz . ◽  
Metin Akay . ◽  
Adnan Cicek .
Keyword(s):  
Factor Analysis ◽  
Environmental Problems

scholarly journals The Effect of Good Governance Mixture in Governmental Organizations on Promotion of Employees’ Job Satisfaction (Case Study: Employees and Faculty Members of Lorestan University)

2016 ◽  
Vol 12 (5) ◽  
pp. 108
Author(s):  
Mahdi Shahin
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Structural Equation ◽  
Good Governance ◽  
Faculty Members ◽  
Equation Modeling ◽  
Alpha Coefficient ◽  
Governmental Organizations ◽  
Confirmatory Factor

<p>The aim of this study was to evaluate the effect of indicators of good governance in public organizations to improve the level of employees’ job satisfaction. The methods were confirmatory factor analysis and structural equation modeling using LISREL software and SPSS18 packages. The population consisted of all faculty members and staff of Lorestan University (N=500), which 217 of them were selected systematically using Kerjisi Morgan table. To collect the data 2 standardized questionnaires consisted of good governance and job satisfaction (residents and Ramadan, 2011) were used and the reliability of the questionnaire was (0.73) by calculating Cronbach’s alpha coefficient. The results of the study showed that the implementation of the indicators of good governance in the organization will lead to an increase in employees’ job satisfaction.</p>

Do all roads lead to Rome?: Modeling register variation with factor analysis and discriminant analysis

2018 ◽  
Vol 14 (2) ◽  
pp. 233-273 ◽  
Author(s):  
Jesse Egbert ◽  
Douglas Biber
Keyword(s):  
Factor Analysis ◽  
Discriminant Analysis ◽  
Canonical Discriminant Analysis ◽  
Statistical Techniques ◽  
Systematic Relationship ◽  
Case Study Analysis ◽  
Register Variation ◽  
Analysis Of Variation ◽  
Occurrence Patterns

Abstract Previous theoretical and empirical research on register variation has argued that linguistic co-occurrence patterns have a highly systematic relationship to register differences, because they both share the same functional underpinnings. The goal of this study is to test this claim through a comparison of two statistical techniques that have been used to describe register variation: factor analysis (as used in Multi-Dimensional analysis, MDA) and canonical discriminant analysis (CDA). MDA and CDA have different statistical bases and thus give priority to different analytical considerations: linguistic co-occurrence in the case of MDA and the prediction of register differences in the case of CDA. Thus, there is no statistical reason to expect that the two techniques, if applied to the same corpus, will produce similar results. We hypothesize that although MDA and CDA approach register variation from opposite sides, they will produce similar results because both types of statistical patterns are motivated by underlying discourse functions. The present paper tests this claim through a case-study analysis of variation among web registers, applying MDA and CDA to analyze register variation in the same corpus of texts.

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