Headache Syndromes Suggested by Statistical Analysis of Headache Symptoms

Cephalalgia ◽  
1982 ◽  
Vol 2 (3) ◽  
pp. 125-134 ◽  
Author(s):  
Dewey K. Ziegler ◽  
Ruth Stephenson Hassanein ◽  
James R. Couch
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Statistical Method ◽  
Total Variation ◽  
Statistical Study ◽  
Neurological Dysfunction ◽  
Visual Phenomena ◽  
Inability To Work ◽  
Headache Clinic ◽  
Headache Patients

Statistical study of the correlation between 49 variables concerning characteristics of headache and of headache patients was carried out on 1,198 sequential patients complaining of severe or disabling headaches and attending a headache clinic. Factor analysis was the statistical method employed, 17 factors accounting for 64% of total variation emerged. The most prominent factor contained descriptors of neurological dysfunction associated with headache. Another factor contained variables of nausea and vomiting, only associated with inability to work. Other factors, contained separately, the following variables: (a) Time of headache, (b) time of week of headache, (c) unilateral nature of headache, (d) visual phenomena associated with headache. Relation of these findings to headache taxonomy is 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 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.

scholarly journals Statistical analysis of factors affecting the service quality of Jetstar Pacific Airlines

2015 ◽  
Vol 18 (2) ◽  
pp. 67-75
Author(s):  
Nhan Huu Huynh ◽  
Dung Anh To
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Service Quality ◽  
External Environment ◽  
Technical Quality ◽  
Quality Model ◽  
Factors Affecting ◽  
Functional Quality ◽  
The Relationship

The aim of this paper is to study the effects of service quality in Jetstar Pacific Airlines towards customer’s satisfaction under the perspective of Servqual and Gronroos service quality model and the relationship between functional quality, technical quality, internal and external environment influences mediated by Jetstar Pacific Airlines images and service quality using the main statistical methods such as factor analysis and multiple linear regression.

scholarly journals Statistical analysis of cytogenetic data

2021 ◽  
Vol 28 ◽  
pp. 146-150
Author(s):  
L. A. Atramentova
Keyword(s):  
Data Structure ◽  
Statistical Analysis ◽  
Confidence Interval ◽  
Statistical Method ◽  
Confidence Intervals ◽  
Study Design ◽  
Cytogenetic Study ◽  
Data Set ◽  
Statistical Errors ◽  
Cytogenetic Data

Using the data obtained in a cytogenetic study as an example, we consider the typical errors that are made when performing statistical analysis. Widespread but flawed statistical analysis inevitably produces biased results and increases the likelihood of incorrect scientific conclusions. Errors occur due to not taking into account the study design and the structure of the analyzed data. The article shows how the numerical imbalance of the data set leads to a bias in the result. Using a dataset as an example, it explains how to balance the complex. It shows the advantage of presenting sample indicators with confidence intervals instead of statistical errors. Attention is drawn to the need to take into account the size of the analyzed shares when choosing a statistical method. It shows how the same data set can be analyzed in different ways depending on the purpose of the study. The algorithm of correct statistical analysis and the form of the tabular presentation of the results are described. Keywords: data structure, numerically unbalanced complex, confidence interval.

scholarly journals Sabermetría y nuevas tendencias en el análisis estadístico del juego de béisbol (Sabermetrics and new trends in statistical analysis of baseball)

Retos ◽  
2015 ◽  
pp. 122-127
Author(s):  
César Soto Valero ◽  
Mabel González Castellanos
Keyword(s):  
Statistical Analysis ◽  
Empirical Analysis ◽  
Statistical Study ◽  
Team Sports ◽  
Baseball Game ◽  
Objective Evidence ◽  
Individual Value

La sabermetría es reconocida actualmente como una tendencia novedosa en el estudio del juego de béisbol. Con mucho auge y utilización en el análisis empírico, esta se basa en el estudio estadístico riguroso de la evidencia objetiva obtenida durante el juego. Teniendo en cuenta tanto sus aportes teóricos como prácticos, la sabermetría se fundamenta en una constante búsqueda por comprender cómo jugar mejor y más eficientemente al béisbol, lo cual se expresa y soporta mediante un tipo de análisis de actuación único entre todos los deportes colectivos. El presente trabajo aborda los aspectos esenciales de la sabermetría, fundamentando la necesidad de su surgimiento y utilización, como una forma de perfeccionar la manera en que tradicionalmente se ha llevado a cabo el análisis estadístico en el béisbol. Además, se brinda un resumen de los estadísticos sabermétricos más utilizados, tanto de bateo y picheo como otros de valor individual para el equipo, con el propósito de hacer más clara su comprensión, estudio y posterior utilización entre los seguidores de este deporte.Abstract. Sabermetrics is recognized as a new trend in the study of baseball game. This is based on the rigorous statistical study of the objective evidence obtained and has been used extensively in its empirical analysis. Considering both theoretical and practical contributions, sabermetrics involves the constant quest of understanding how to play baseball better and more efficiently, which is expressed and supported by an exceptional type of analysis performance unique among all team sports. This paper describes the essential aspects of sabermetrics, pointing in the necessity of its emergence and use, as a way to improve the traditional statistical analysis of baseball. Moreover, a summary of the sabermetrics statistics most widely used is given. Both batting and pitching, as well as others of individual value for the team are stated throughout this work in order to make sabermetrics understanding, study and further use clearer among followers of this sport.

scholarly journals Micro-SME Characterization From Financial Statements

2012 ◽  
Vol 11 (13) ◽  
pp. 1507
Author(s):  
Guillermo Ceballos-Santamaria ◽  
Juan-Jose Villanueva-Alvaro ◽  
Jose Mondejar-Jimenez
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Small Businesses ◽  
Financial Statements ◽  
Developed Countries ◽  
Financial Statement ◽  
Statistical Techniques ◽  
General Interest ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical

In recent years, small businesses have created interest and research, because they represent the majority of the business fabric and account for over seventy per cent of jobs in developed countries. Governments of these countries share a general interest in knowing about Small and Medium-Sized Enterprises (SME). Based on this premise, the approach of this study is to characterize micro-SMEs in the province of Cuenca, Spain, by analysis of financial statements, specifically analyzing their structure in financial terms by use of univariate and multivariate statistical techniques allowing this kind of business in the province of Cuenca to be identified. The information used comes from the databases of SABI (Iberian Financial Statement Analysis Systems), DIRCE (Central Business Directory and CamerData, the database of the Chambers of Commerce. The statistical analysis is centered on a classic modal of exploratory factor analysis, and finally the main results arising from the study are presented.

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