Academic and Entrepreneurial Research: The Consequences of Diversity in Federal Evaluation Studies. Ilene N. Bernstein and Howard E. Freeman / Introductory Multivariate Analysis for Educational, Psychological, and Social Research. Daniel J. Amick and Herbert J. Walberg; A Primer of Multivariate Statistics. Richard J. Harris

1977 ◽  
Vol 10 (1) ◽  
pp. 58-61
Author(s):  
Paul M. Muchinsky ◽  
Howard E. A. Tinsley
Keyword(s):  
Multivariate Analysis ◽  
Multivariate Statistics ◽  
Social Research ◽  
Evaluation Studies ◽  
Educational Psychological

Multivariate Analysis

2019 ◽  
pp. 40-63
Author(s):  
Murat Yazici
Keyword(s):  
Multivariate Analysis ◽  
Multivariate Statistics ◽  
Output Variable ◽  
Theoretical Concepts ◽  
Multiple Dimensions ◽  
Discriminant Analyses

Multivariate analysis is based on the statistical principle of multivariate statistics, which includes observation and analysis of statistical output variables in case of more than one output variable at a time. The technique is used to perform trade studies across multiple dimensions while taking into account the effects of all variables on the responses of interest in design and analysis. This chapter includes the theoretical concepts of multivariate analysis including factor and discriminant analyses. It is also gives examples to understand and apply them correctly.

scholarly journals Sales Comparison Approach Indicating Heterogeneity of Particular Type of Real Estate and Corresponding Valuation Accuracy

2017 ◽  
Vol 65 (3) ◽  
pp. 977-985
Author(s):  
Martin Cupal
Keyword(s):  
Multivariate Analysis ◽  
Real Estate ◽  
Multivariate Statistics ◽  
Control Chart ◽  
Real Property ◽  
Comparison Approach ◽  
Dependence Criterion ◽  
Estate Property ◽  
Key Variables ◽  
Construction Condition

The article focuses on heterogeneity of goods, namely real estate and consequently deals with market valuation accuracy. The heterogeneity of real estate property is, in particular, that every unit is unique in terms of its construction, condition, financing and mainly location and thus assessing the value must necessarily be difficult. This research also indicates the rate of efficiency of markets across the types based on their level of variability. The research is based on two databases consisting of various types of real estate with specific market parameters. These parameters determine the differences across the types and reveal heterogeneity. The first database has been set on valuations by sales comparison approach and the second one on data of real properties offered on the market. The methodology is based on univariate and multivariate statistics of key variables of those databases. The multivariate analysis is performed by Hotelling T2 control chart and statistics with appropriate numerical characteristics. The results of both databases were joint by weights with regard to the dependence criterion of the variables. The final results indicate potential valuation accuracy across the types. The main contribution of the research is that the evaluation was not only derived from the price deviation or distribution, but it also draws from causes of real property heterogeneity as a whole.

Evaluating Entrepreneurship Education Programmes in Developing Countries

2012 ◽  
Vol 26 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Gerald Braun
Keyword(s):  
Developing Countries ◽  
Systems Approach ◽  
Social Research ◽  
Evaluation Studies ◽  
Entrepreneurship Education ◽  
The Philippines ◽  
Lessons Learned ◽  
Future Research ◽  
Group Discussions ◽  
Intercultural Research

Although a great deal of time, resources and effort goes into the education of potential or existing entrepreneurs, our knowledge of the effects of this education is still rather limited. It can be argued that an imbalance exists between the substantial amount of finance and manpower invested in entrepreneurship education programmes and the very limited amount of resources invested in the evaluation of these programmes (that is, in analyses of their impact). Based on intercultural research and the personal experiences of the author in the evaluation of entrepreneurship education programmes (EEPs) in developing countries, this paper analyses competing approaches of entrepreneurship education; develops a methodological framework for evaluating these approaches; discusses the main findings of EEP evaluation studies carried out in Brazil, Chile, Kenya, the Philippines and Vietnam; presents ‘lessons learned’ with respect to theoretical and methodological foundations of EEP evaluations and practical problems concerning their implementation; and draws general conclusions for future research and practice. The intercultural evaluations are based on a ‘most different systems’ approach, applying a mix of quantitative (questionnaires with open and closed questions) and qualitative (in-depth interviews, on-site-visits, focus-group discussions) tools of social research.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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