Multivariate Analysis: Data Reduction and Treatment Evaluation

1976 ◽  
Vol 128 (4) ◽  
pp. 404-407 ◽  
Author(s):  
Allan Wilson
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Recent Article ◽  
Relative Effectiveness ◽  
Analysis Data ◽  
Outcome Variable ◽  
Multivariate Techniques ◽  
Large Array ◽  
Multivariate Approach ◽  
Treatment Regimes

SummaryIn a recent article, Everitt (1975) discussed several problems with multivariate techniques. However, two useful applications of multivariate techniques were not covered. The present paper describes the use of factor analysis to reduce a large array of outcome variables to a statistically manageable number, and multivariate analysis of variance to determine the relative effectiveness of several treatment regimes where a single outcome variable cannot be specified. It is concluded that the advantages of a multivariate approach outweigh the disadvantages, provided the researcher is careful in interpreting and reporting his results.

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.

scholarly journals Determinants of child malnutrition in Bangladesh - A Multivariate Approach

2014 ◽  
Vol 6 (2) ◽  
pp. 85-90 ◽  
Author(s):  
Ahbab Mohammad Fazle Rabbi ◽  
Shamal Chandra Karmaker
Keyword(s):  
Public Health ◽  
Factor Analysis ◽  
Child Malnutrition ◽  
Health Conditions ◽  
Multivariate Techniques ◽  
Multivariate Approach ◽  
Medical Sciences ◽  
Linear Discriminant ◽  
Complex Interactions ◽  
Two Factors

Objective: Malnutrition is referred as the greatest single threat to the world’s public health, especially for the developing countries. Nutritional status is determined anthropometrically and it is outcome of complex interactions between biological, socio-economical variables. This study is conducted to identify the significant determinants of child malnutrition in Bangladesh. Method: Using BDHS-2007 data, Total 5312 cases are included in the present study. Multivariate techniques have been applied in this study to obtain significant determinants of child malnutrition. Results: Factor analysis revealed six factors as covariate of malnutrition; where two factors are socio-economical, others are biological and bio-social. Hence linear discriminant analysis is used to clarify the efficiency of obtained factors in malnutrition scenario; which imply that the obtained factors are accurate for approximately 60 percent observations. Conclusion: The obtained results suggest that, consciousness should be raised to improve socio-economic and maternal health conditions to improve the scenario of child malnutrition. DOI: http://dx.doi.org/10.3126/ajms.v6i2.10404   Asian Journal of Medical Sciences Vol.6(2) 2015 85-89

A Multivariate Approach to Analyze Ordinal Data Collected in Clinical Trials of Analgesic Agents

1979 ◽  
Vol 18 (03) ◽  
pp. 175-179
Author(s):  
E. Mabubini ◽  
M. Rainisio ◽  
V. Mandelli
Keyword(s):  
Clinical Trials ◽  
Multivariate Analysis ◽  
Analgesic Effect ◽  
Ordinal Data ◽  
Ordinal Scale ◽  
Multivariate Approach ◽  
Controlled Clinical Trials ◽  
Second Stage ◽  
Analgesic Agents ◽  
Relevant Factors

After pointing out the drawbacks of the approach commonly used to analyze the data collected in controlled clinical trials carried out to evaluate the analgesic effect of potential agents, the authors suggest a procedure suitable for analyzing data coded according to an ordinal scale. In the first stage a multivariate analysis is carried out on the codec! data and the projection of each result in the space of the most relevant factors is obtained. In the second stage the whole set of these values is processed by distribution-free tests. The procedure has been applied to data previously published by VENTAITBIDDA et al. [18].

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.

scholarly journals A multivariate analysis of subline divergence in the shape of the mandible in C57BL/Gr mice

1973 ◽  
Vol 21 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Michael Festing
Keyword(s):  
Multivariate Analysis ◽  
Distance Function ◽  
Canonical Variate ◽  
Multivariate Techniques ◽  
Graphical Display ◽  
Classification Analysis ◽  
Variate Analysis ◽  
Pedigree Relationship ◽  
Highly Correlated ◽  
Generalized Distance

SUMMARYThe shape of the mandible in. nine sublines of C57BL/Gr, seven other strains of ‘C57 ancestry’ and four unrelated strains was studied by multivariate techniques. The generalized distance function was used to classify individuals in the groups which they most closely resembled. The degree of misclassification depended on the pedigree relationship between strains and sublines. The generalized distance between pairs of subline centeroids was also highly correlated (r = 0·60) with the number of generations between them. A canonical variate analysis was used to reduce the dimensionality so that a graphical display of the relationships between strains and sublines could be made. The results agreed closely with the classification analysis. It was concluded that the shape of the mandible could be used for subline identification though the accuracy of this technique depends on how closely the sublines are related.

Factor Analysis of the Stability of Self Scale

1980 ◽  
Vol 47 (3_suppl) ◽  
pp. 1160-1162 ◽  
Author(s):  
Stephen L. Franzoi ◽  
Benjamin J. Reddish
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Principal Components ◽  
Analysis Data ◽  
Factor Solution ◽  
The Stability

The factor structure of Rosenberg's Stability of Self Scale (1965) was investigated via principal components factor analysis. Data from 92 male and 171 female undergraduates yielded a one-factor solution, supporting Rosenberg's contention that the scale is unidimensional.

scholarly journals Typology and characterization of the pampean beekeeping systems

2020 ◽  
Vol 51 (2) ◽  
pp. 299-318
Author(s):  
Tomás Bragulat ◽  
Elena Angón ◽  
Alberto Giorgis ◽  
José Perea
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Rural Areas ◽  
Export Market ◽  
Multivariate Techniques ◽  
High Productivity ◽  
Selection Of Variables ◽  
Socially Relevant ◽  
And Cluster Analysis ◽  
Random Survey

Objective: Identify and characterize the beekeeping systems of La Pampa (Argentina) using multivariate techniques based on the main structural, productive and economic characteristics. Methodology: The data was collected through a random survey of 80 beekeepers. The classification and description of the apicultural systems was based on a multivariate sequence comprising three stages: review and selection of variables, factor analysis and cluster analysis. Results: Factor analysis revealed that the size of the farm and the productive and economic performance of beekeeping jointly explained 66% of the variability. Through cluster analysis, three types of beekeeping have been identified: (i) Subsistence beekeeping grouped 55% of the farms, mainly characterized by small sizes and low productive and economic yields. (ii) Industrial beekeeping concentrated 54% of production in 15% of farms, mainly characterized by large sizes and high productive and economic yields. (iii) Commercial beekeeping grouped 30% of the farms, mainly characterized by high productivity with intermediate sizes. Limitations: The study has been carried out on a few farms due to the difficulty of obtaining answers to all the variables included in the survey. Practical implications: Beekeeping in La Pampa is generally a highly heterogeneous complement of income or family subsistence, with low productivity and low input use. Subsistence beekeeping is a socially relevant system for its contribution to family employment and income in rural areas. Industrial beekeeping is oriented to the export market and has a more competitive scale. Commercial beekeeping is situated on an intermediate scale.

Sign in / Sign up

Export Citation Format

Share Document