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.

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.

scholarly journals Monitoring the impact of tyre inflation pressure on tensile properties of forest tractors

2014 ◽  
Vol 60 (No. 4) ◽  
pp. 127-133
Author(s):  
M. Helexa
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Tensile Properties ◽  
Statistical Methods ◽  
Analysis Of Variance ◽  
Slovak Republic ◽  
Tensile Tests ◽  
Concrete Surface ◽  
Inflation Pressure ◽  
The Impact

The article discusses monitoring of the impact of tyre inflation pressure on tensile properties of forest tractors. The <br />LKT 81 T forest tractor, manufactured byZŤS TEES, Martin (Slovak Republic) and widely used in Slovakia, was specifically chosen as the mechanised vehicle to be monitored. Tensile properties were examined using standard tensile tests, with a Tatra freight vehicle serving as the load vehicle. Actual measurements were performed on a concrete surface and on soil characterised as gravelly loam whose average moisture was 38%. The statistical methods used to verify the impact of significance from changes in tyre inflation pressure on selected tensile indicators were multi-factor analysis of variance (ANOVA) and Student&rsquo;s t-test. Even though statistical analysis failed to directly confirm significance in the impact of changes of tyre inflation pressure on selected load indicators for a forest tractor fitted with standard tyres, positive changes can be discerned in measured dependencies. The article concludes with a discussion of the results obtained and their possible application in operational practice.

scholarly journals The optimal model of employment and entrepreneurship models in colleges and universities based on probability theory and statistics

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ruiqin Su ◽  
Mohammed Basheri ◽  
Mohamad Salama
Keyword(s):  
College Students ◽  
Probability Theory ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Statistical Methods ◽  
Entrepreneurship Education ◽  
Colleges And Universities ◽  
Optimal Model ◽  
Structured Model ◽  
Entrepreneurial Ability

Abstract The paper relies on the practice process of entrepreneurship education in colleges and universities to carry out research. It summarizes the optimal models suitable for students’ employment and entrepreneurship based on statistical analysis using the probability theory. We built a pyramid structured model of college students’ entrepreneurial ability based on this model. The thesis uses statistical methods to carry out a factor analysis of various abilities. It provides a basis for the adjustment and implementation of employment-oriented entrepreneurship education models in colleges and universities.

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 Variability of Prognostic Results Based on Biological Parameters in Sickle Cell Disease Cohort Studies in Children: What Should Clinicians Know?

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 143
Author(s):  
Julie Sommet ◽  
Enora Le Roux ◽  
Bérengère Koehl ◽  
Zinedine Haouari ◽  
Damir Mohamed ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Sickle Cell Disease ◽  
Cohort Studies ◽  
Statistical Methods ◽  
Sickle Cell ◽  
Biological Parameters ◽  
Analysis Method ◽  
Cell Disease ◽  
Statistical Analysis Method

Background: Many pediatric studies describe the association between biological parameters (BP) and severity of sickle cell disease (SCD) using different methods to collect or to analyze BP. This article assesses the methods used for collection and subsequent statistical analysis of BP, and how these impact prognostic results in SCD children cohort studies. Methods: Firstly, we identified the collection and statistical methods used in published SCD cohort studies. Secondly, these methods were applied to our cohort of 375 SCD children, to evaluate the association of BP with cerebral vasculopathy (CV). Results: In 16 cohort studies, BP were collected either once or several times during follow-up. The identified methods in the statistical analysis were: (1) one baseline value per patient (2) last known value; (3) mean of all values; (4) modelling of all values in a two-stage approach. Applying these four different statistical methods to our cohort, the results and interpretation of the association between BP and CV were different depending on the method used. Conclusion: The BP prognostic value depends on the chosen statistical analysis method. Appropriate statistical analyses of prognostic factors in cohort studies should be considered and should enable valuable and reproducible conclusions.

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 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.

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