scholarly journals Analysis of Factor that Preferred by Customer in the Selection of Batara Savings Products at BTN Bank Branch Kamal

2020 ◽  
Vol 4 (2) ◽  
pp. 192-197
Author(s):  
Moh Jufriyanto ◽  
Yudha Dwi Putra Negara ◽  
Doni Abdul Fatah
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Product Selection ◽  
Bank Branch ◽  
Scree Plot ◽  
Correct Information ◽  
Five Factors ◽  
Eigen Value ◽  
Mutually Independent ◽  
Selection Of

Factor analysis is a statistical analysis that tries to find a relationship (interrelationship) between a number of variables are mutually independent from one another, so that it can be made one or several sets of variables are less than the amount of the initial variables. Researchers want to conduct research on the factors that necessitated the customer in product selection god savings deposits at Bank BTN Kamal, Bangkalan by factor analysis approach. From the results in getting that formed five factors capable of representing on the seventeenth of the variables used factor analysis conducted, five factors formed can be seen from the eigen value more than 1 and pictures scree plot. Factors which is made by customers of Bank BTN in the selection of savings products Batara ie Employee Bank BTN responsive in serving, security transactions, procedures (and requirements) account opening Savings Batara easy was infested, Administration fee is low, and Employees of Bank BTN can give correct information and clear.

Selection of the Appropriate Number of Factors: A Case of Questionable Dimensions

1986 ◽  
Vol 58 (1) ◽  
pp. 251-256 ◽  
Author(s):  
J. J. Cyr ◽  
L. Atkinson
Keyword(s):  
Factor Analysis ◽  
Previous Literature ◽  
Factor Solution ◽  
Multiple Indicators ◽  
Number Of Factors ◽  
Five Factors ◽  
Selection Of

Based on a factor analysis of the SCL-90, Evenson, et al. in 1980 suggested that a 12-factor solution best described their data. In light of previous literature and a close examination of the Evenson, et al. data, it is suggested by the present authors that only five factors should have been interpreted. Selection of the appropriate number of factors should be based on multiple indicators prior to labeling and interpretation.

scholarly journals FAKTOR-FAKTOR YANG MEMENGARUHI KEPUTUSAN KONSUMEN MELAKUKAN PEMBELIAN MAKANAN MELALUI MEDIA SOSIAL

2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Aylinna Ongsano ◽  
Michael Ricky Sondak
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Collection ◽  
Exploratory Factor Analysis ◽  
Dominant Factor ◽  
Distribution Method ◽  
Internet Users ◽  
Five Factors ◽  
Eigen Value ◽  
Online Business

<p>Sophistication of technology is now increasingly, people becomes easier to access any information just by using internet. This evolution is called globalization. Now globalization makes Indonesian people tend to likes instant and practical things. Internet users in Indonesia is now increasing and most are social media active users. This makes Indonesia have a good prospects to do online business. The purpose of this study is to find out the factors that influence consumer’s decision for purchase online food and to determine the most dominant factor in consumer’s decision for purchasing online food. Population in this research is all Indonesia people who already experienced online transaction. Meanwhile, sample of this research is 73 consumers who have already purchased online food. Moreover, the technique of data collection in this study is through questionnaires distribution method and the questionnaires is using Likert scale instrument. Furthermore, the researcher process the data using SPSS with Exploratory Factor Analysis to obtain significant conclusions based on these research. Based on the hypothesis that has been calculated using the SPSS, the results are there are five factors that influence consumer’s decision for purchasing food through social media and the most dominant factor is life style, because it has the most high eigen value.<br />Keywords: Globalization, Social Media, Online Business, Exploratory Factor Analysis</p>

scholarly journals Statistical methods for bioimpedance analysis

2019 ◽  
Vol 5 (1) ◽  
pp. 14-27 ◽  
Author(s):  
Christian Tronstad ◽  
Are H. Pripp
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Statistical Methods ◽  
Statistical Test ◽  
Measurement Technology ◽  
Bioimpedance Analysis ◽  
Methodological Framework ◽  
Frequency Sweep ◽  
Measures Of Performance ◽  
Selection Of

Abstract This paper gives a basic overview of relevant statistical methods for the analysis of bioimpedance measurements, with an aim to answer questions such as: How do I begin with planning an experiment? How many measurements do I need to take? How do I deal with large amounts of frequency sweep data? Which statistical test should I use, and how do I validate my results? Beginning with the hypothesis and the research design, the methodological framework for making inferences based on measurements and statistical analysis is explained. This is followed by a brief discussion on correlated measurements and data reduction before an overview is given of statistical methods for comparison of groups, factor analysis, association, regression and prediction, explained in the context of bioimpedance research. The last chapter is dedicated to the validation of a new method by different measures of performance. A flowchart is presented for selection of statistical method, and a table is given for an overview of the most important terms of performance when evaluating new measurement technology.

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

Structural Relationships among Customer Delight, Exercise Commitment, and Psychological Happiness

2019 ◽  
Vol 118 (1) ◽  
pp. 8-13
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Frequency Analysis ◽  
Structural Correlation ◽  
Structural Relationships ◽  
Confirmatory Factor ◽  
Customer Delight

Background/Objectives: The purpose of this study is to find out the structural relationships among customer delight, exercise commitment, and psychological happiness to contribute developing exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted and 160 college students who are familiar with mobile exercise applications participated. The data analyzed with frequency analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and structural correlation analysis. The validity and the reliability were obtained: customer delight (χ2=26.532, df=14, CFI=.985, TLI=.971, RMSEA=.075), exercise commitment (χ2=113.802, df=49, CFI=.956, TLI=.941, RMSEA=.091), and psychological happiness (χ2=15.338, df=8, CFI=.989, TLI=.980, RMSEA=.076, and Cronbach’s α=.906~.938).

scholarly journals Development and Validation of a Faith Scale for Young Children

Religions ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 197
Author(s):  
Sungwon Kim
Keyword(s):  
Factor Analysis ◽  
Early Childhood ◽  
Statistical Analysis ◽  
Pilot Study ◽  
Young Children ◽  
Christian Education ◽  
Faith Development ◽  
Education Programs ◽  
Confirmatory Factor ◽  
Development And Validation

The purpose of this study is to develop and validate a faith scale for young children. Data were collected from 424 young children, who had not yet entered elementary school, with their parents rating their faith level. Sixty-five preliminary questions were formulated under three domains―knowing, loving, and living—that were based on existing studies related to faith. The questions were reduced to 40 through a content validity test conducted by a seven-member panel. These questions were subsequently refined through pilot study, main survey, and statistical analysis. After exploratory and confirmatory factor analysis, the scale was finalized, comprising 25 questions that can be categorized into three factors: confessional faith life, missional life, and distinctive life. This scale is expected to measure early childhood faith and prove the effectiveness of Christian education programs on a young child’s faith development.

scholarly journals Metacognitive Rating Scale: A Study Applying a Korean Translation to Individuals with Schizophrenia

2021 ◽  
Vol 18 (13) ◽  
pp. 6853
Author(s):  
Mihwa Han ◽  
Kyunghee Lee ◽  
Mijung Kim ◽  
Youngjin Heo ◽  
Hyunseok Choi
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Mental Status ◽  
Rating Scale ◽  
Anger Expression ◽  
Principal Component ◽  
Negative Beliefs ◽  
Five Factors ◽  
Metacognitive Beliefs

Metacognition is a higher-level cognition of identifying one’s own mental status, beliefs, and intentions. This research comprised a survey of 184 people with schizophrenia to verify the reliability of the metacognitive rating scale (MCRS) with the revised and supplemented metacognitions questionnaire (MCQ) to measure the dysfunctional metacognitive beliefs of people with schizophrenia by adding the concepts of anger and anxiety. This study analyzed the data using principal component analysis and the varimax method for exploratory factor analysis. To examine the reliability of the extracted factors, Cronbach’s α was used. According to the results, reliability was ensured for five factors: positive beliefs about worry, negative beliefs about uncontrollability and danger of worry, cognitive confidence, need for control, and cognitive self-consciousness. The negative beliefs about uncontrollability and danger of worry and the need for control on anger expression, which were both added in this research, exhibited the highest correlation (r = 0.727). The results suggest that the MCRS is a reliable tool to measure the metacognition of people with schizophrenia.

scholarly journals Relationships between Final Purchasers and Offerors in the Context of Their Perception by Final Purchasers

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3271
Author(s):  
Agnieszka Izabela Baruk
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
World Literature ◽  
Empirical Studies ◽  
Primary Data ◽  
Survey Method ◽  
Chi Square ◽  
Marketing Process ◽  
Research Gap

The aim of this article was to identify the role of good mutual relationships with offerors for final purchasers, as well as define the meaning of the perception of offerors in the scope of listening to purchasers’ opinions and profiting from purchasers’ readiness to cooperate for the specificities of the prosumeric activity. A deep analysis of the world literature was used to prepare the theoretical part of this paper. The results of this analysis confirm the existing cognitive gap and research gap regarding mentioned aspects, including energy market. Empirical studies were conducted to reduce identified gaps. The survey method was used to collect primary data. The collected data were subjected to quantitative analysis, during which statistical analysis methods and tests were applied (Pearson chi-square independence test, V-Cramer factor analysis, Kruskal–Wallis test (KW), and exploratory factor analysis). The results of the statistical analysis and testing allowed the three research hypotheses formulated to be checked. Between the significance of good relationships with offerors and their perception, a statistically significant dependence was identified for all groups of offerors. The perception of offerors was a feature differentiating respondents’ opinions about the significance of good relationships with offerors for the two following groups: producers and traders. Additionally, the perception of offerors was a feature differentiating forms of prosumeric activity of respondents only for three interpurchase behaviors. The results obtained have a visible cognitive and applicability value. They contribute to the theory of marketing, as well as possibly facilitating the formation of good mutual relationships between offerors (including offerors of energy) and final purchasers as key partners cooperating with offerors in the marketing process. The approach presented in this paper has not been studied and analyzed so far, either in theoretical or in practical terms. This fact confirms its originality and value.

The five‐factor personality model in applied settings

1994 ◽  
Vol 8 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Itzhak Montag ◽  
Joseph Levin
Keyword(s):  
Factor Analysis ◽  
Personality Inventory ◽  
The Other ◽  
Factor Solution ◽  
Male And Female ◽  
Neo Personality Inventory ◽  
Clear Cut ◽  
Five Factors ◽  
Male Subjects ◽  
Female Subjects

Two studies of the Revised NEO‐Personality Inventory (NEO‐PI‐R) conducted on two different applicant samples (one consisting of 539 female subjects and the other consisting of 396 male subjects) are reported. Factor analysis of the female sample yielded a five‐factor solution, highly congruent with the factors presented by Costa, McCrae and Dye (1991). Results of the male data were less clear‐cut, yielding four to five factors which were moderately congruent with the American data. The combined male and female sample showed again high congruence coefficients. Various minor deviations in the location of the facet variables are discussed.

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