scholarly journals A Comparative Study of Leisure Constraints in Outdoor Leisure Activities Depending on Recognition of the Level of Particulate Matter (PM10): Focused on Golf Participants in the Republic of Korea

2020 ◽  
Vol 85 (1) ◽  
pp. 50-58
Author(s):  
Chulhwan Choi ◽  
Chul-Ho Bum
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Particulate Matter ◽  
Comparative Study ◽  
Leisure Activities ◽  
Atmospheric Conditions ◽  
Leisure Constraints ◽  
Health Factors ◽  
Participation Constraint ◽  
The Republic

AbstractParticulate matter, one of the most recent social problems in Korea, not only poses a threat to people’s health, but is also emerging as a constraint to discourage outdoor leisure activities. Golf, a leisure sport played outdoors for hours, is not free from such a threat, and now is time to analyze golfers’ recognition of particulate matter. To examine whether particulate matter, among other constraints for golfers, had a significant effect as well as how golfers recognized particulate matter, we used 324 collected questionnaires in this study. After exploratory factor analysis and reliability analysis through SPSS 23.0, we divided questionnaire participants into recognition and non-recognition groups based on whether they checked and recognized atmospheric conditions, including particulate matter, before playing golf, and used multivariate analysis of variance (MANOVA) to compare and analyze leisure constraints. Respondents in the recognition group who recognized particulate matter in advance experienced participation constraints in weather and health factors, while those in the non-recognition group experienced participation constraints in skill and confidence factors. In other words, respondents participated in outdoor leisure activities even though they recognized the level of hazardous particulate matter in the air beforehand, and particulate matter worked as a participation constraint for them; this finding confirmed that it will be necessary in the future to take preventative action more actively against the danger of particulate matter.

scholarly journals Notes on A Factor-Analysis Comparative Study of the Structure of Leisure Activities in Four Different Samples

1974 ◽  
Vol 6 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Reinhard Schmitz-Scherzer ◽  
George Rudinger ◽  
Alois Angleitner ◽  
Dorothea Bierhoff-Alfermann
Keyword(s):  
Factor Analysis ◽  
Comparative Study ◽  
Leisure Activities

Algorithm for assessing fire damage based on multi-factor analysis of fires development from gas compressor stations

2020 ◽  
Vol 90 ◽  
pp. 74-84
Author(s):  
A. A. Tanygina ◽  
◽  
R. V. Khalikov ◽  
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Systems Analysis ◽  
Statistical Data ◽  
Efficiency Analysis ◽  
Economic Damage ◽  
Fire Damage ◽  
Fire Control ◽  
Multifactor Model ◽  
General Scientific

Introduction. The article provides an algorithm for assessing the damage from a fire on the territory of gas compressor stations using a multifactor model of scenarios for the development of a fire. The causes of fires at the facilities of gas compressor stations are analyzed on the basis of statistical data. The established algorithm was verified by calculating the damage from fires, and the most dangerous causes of fires on the territory of gas compressor stations were established by the values of the frequency of emergency ruptures. The purpose of the study is establishing an algorithm for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Research methods. To obtain the results, general scientific and special methods of scientific knowledge were used. These are analysis, generalization, economic analysis, analysis of empirical data, which were based on the general provisions of the theory of analysis and systems analysis. The results of the study. A multivariate analysis of scenarios for the development of fires on the territory of gas compressor stations is carried out. An algorithm is found for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Conclusion. Using the results of the analysis of scenarios of fire development on the territory of gas compressor stations and calculations of indicators of economic damage from fires at these facilities, it is possible to draw up an algorithm for assessing fire damage on the territory of gas compressor stations. Key words: efficiency, analysis, statistics, fire, gas compressor stations, state fire control authorities, damage calculation.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

scholarly journals Development of a measure of kindness

2021 ◽  
Author(s):  
Donna E. Youngs ◽  
Miroslava A. Yaneva ◽  
David V. Canter
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Positive Psychology ◽  
Conceptual Framework ◽  
External Validity ◽  
Exploratory Study ◽  
Male And Female ◽  
Psychometric Instrument ◽  
Smallest Space Analysis ◽  
Item Questionnaire

AbstractIn the spirit of the growing developments in positive psychology, there is an increasing interest in how kind people are to each other. Yet, this area lacks any strong psychometric instrument. An initial exploratory study demonstrated that a 40-item questionnaire, completed by 165 people, revealed distinct aspects of kindness when subjected to multivariate analysis. A subsequent study is reported, using the structure of the exploratory results to further clarify the conceptual framework (Study 1). The revised 45-item questionnaire was administered to 1039 individuals from the general British population. Smallest Space Analysis of the variables, supported by Factor analysis, confirmed the hypothesis of two facets to kindness, the psychological source of the action (from principles or empathy), and the form of expression (through psychological involvement or following social prescription. It also revealed an additional general, core kindness, labelled Anthropophilia. Reliable scales derived from the combinations of the two elements from each facet were identified: Affective-Socially Prescribed; Affective-Proactive; Principle-Socially Prescribed and Principle-Proactive. Intercorrelations between the scales revealed that they measure different modes of kindness. Comparisons between male and female respondents provided external validity for the questionnaire. Study 2 (N = 251) reported that the scales measure independent dimensions when correlated with similar and dissimilar concepts.

MULTIVARIATE ANALYSIS OF PERCEIVED DYSFUNCTION RATINGS OF PERSONALITY DISORDER SYMPTOMS

2004 ◽  
Vol 32 (6) ◽  
pp. 595-606
Author(s):  
David C. Watson ◽  
Andrew J. Howell
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Personality Disorder ◽  
Multidimensional Scaling ◽  
Personality Disorders ◽  
Two Dimensions ◽  
Social Impairment ◽  
Multivariate Techniques ◽  
Personal Distress ◽  
High Distress

Dysfunction in personality disorder symptoms was assessed using multivariate techniques to analyse lay judges' (N = 216) ratings of occupational impairment, social impairment, and personal distress. Factor analysis revealed that ratings of occupational impairment and social impairment loaded onto distinct factors. Personal distress ratings loaded onto two separate factors: high distress and low distress. Multidimensional scaling revealed two dimensions for overall dysfunction among personality disorders: severity of dysfunction and internalization-externalization. The dimensions were independence-dependence and severity of dysfunction for occupational impairment, interpersonal involvement and dominance-submission for social impairment, and internalization-externalization and severity for personal distress.

COMPARATIVE STUDY OF THE EXPERIENCE OF REFORMS IN THE NEW UZBEK-CHINESE RELATIONS

2021 ◽  
Vol 2 (2) ◽  
pp. 13-19
Author(s):  
Shoazim Ibragimovich Shazamanov ◽  
◽  
Anri Abdullaevich Sharapov
Keyword(s):  
Comparative Study ◽  
Central Asia ◽  
World Politics ◽  
Capital Investments ◽  
Peaceful Coexistence ◽  
Chinese Entrepreneurs ◽  
The Republic ◽  
General Aspects ◽  
Development Analysis ◽  
China Study

The article focuses on the following aspects of the issue: the pragmatic policy of the Republic of Uzbekistan in world politics and the analysis of their features; Documents defining the relations between Uzbekistan and China; study the aspects ofcooperation for peaceful coexistence and development; analysis of the ideas of Uzbek and Chinese researchers on the relations between the two countries; General aspects of reforms in Uzbekistan and China; Capital investments of Chinese entrepreneurs in the development of the Uzbek economy in the regions of the country; cooperation in the field of military, tourism, as well as the policy of the PRC on railway transit with Central Asia to Europe

Comparative study of the effects of 1-MCP treatment on apple quality by instrumental and multivariate analysis

2008 ◽  
Vol 88 (9) ◽  
pp. 1614-1621 ◽  
Author(s):  
Christian Larrigaudière ◽  
Rosa Vilaplana ◽  
Yolanda Soria ◽  
Inmaculada Recasens
Keyword(s):  
Multivariate Analysis ◽  
Comparative Study ◽  
Apple Quality

scholarly journals Meteorological controls on atmospheric particulate pollution during hazard reduction burns

2017 ◽  
Author(s):  
Giovanni Di Virgilio ◽  
Melissa Anne Hart ◽  
Ningbo Jiang
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Fine Particulate Matter ◽  
Meteorological Conditions ◽  
Atmospheric Conditions ◽  
Hazard Reduction ◽  
Particulate Pollution ◽  
Fine Particulate ◽  
Projected Changes ◽  
Sydney Australia

Abstract. Internationally, severe wildfires are an escalating problem likely to worsen given projected changes to climate. Hazard reduction burns (HRB) are used to suppress wildfire occurrences, but they generate considerable emissions of atmospheric fine particulate matter, which depending upon prevailing atmospheric conditions, can degrade air quality. Our objectives are to improve understanding of the relationships between meteorological conditions and air quality during HRBs in Sydney, Australia. We identify the primary meteorological covariates linked to high PM2.5 pollution (particulates

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