PARAMETRIC & NONPARAMETRIC STATISTICAL PROCEDURES OF ANOVA IN URBAN STUDIES(CASE STUDY: LAR CITY)

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SOBHANI LARI S.

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Journal: Journal of Geography and Environmental Studies Year:2009 | Volume:1 | Issue:1 Page(s): 70-112

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Title

PARAMETRIC & NONPARAMETRIC STATISTICAL PROCEDURES OF ANOVA IN URBAN STUDIES(CASE STUDY: LAR CITY)

Author(s)

SOBHANI LARI S. | Issue Writer Certificate

Keywords

PARAMETRICQ3

NONPARAMETRICQ3

PLANNED COMPARISONSQ3

UNPLANNED COMPARISONSQ3

BALANCED DESIGNQ3

UNBALANCED DESIGNQ3

Abstract

PARAMETRIC tests are inferential tests having high statistical power and ability to address any gathered data in the form of complex designs. They mostly assume data to have a natural distribution and samples to have Homogeneous variances. NonPARAMETRIC inferential tests are procedures that have few assumptions about data, especially its distribution and a low power compared with PARAMETRIC procedures. ANOVA is one of the most powerful PARAMETRIC statistical tests for testing statistical hypotheses, together with different designs and models and related procedures. This technique is used to uncover the main and interactive effects of independent variables (called "factors") on a dependent variable. ANOVA PARAMETRIC and nonPARAMETRIC tests are very helpful statistical procedures that can be used in researches related to cities by its fundamental nature, extensively. In the current research we have used One-Way Between-Subjects ANOVA and its nonPARAMETRIC test (Kruskal-Wallis H) as well as related procedures on three different factors(with three ,four and five levels), having two Balanced(with equal sample sizes of groups) and UNBALANCED DESIGNs, and by the use of two dependent variables (Percapita and transformed data based on data characteristics), according to the gathered data from the city level with the aim of comparing percapita of services at spatial dimension of areas . After finding the significant factor, we used various contrast tests in order to describe the nature of group differences in a PARAMETRIC procedure using unplanned and PLANNED COMPARISONS i.e. by dedicating different weights on factor levels based on previous hypotheses. With the significant factor of quintuplet areas, we used planned (a priori) simple and compound linear, deviation and special contrasts as well as Post hoc unplanned Pairwise Multiple Comparisons and Range tests. In order to appraise the structure and study the effect and strength of a relationship and discover the differences through the insignificant factor levels of quadruplet areas, we used planned simple, polynomial, deviation and simple and compound linear contrasts. Generally, results showed that the distribution of civic functions of services in spatial dimension of areas are not optimal and have not been distributed equally. Meanwhile, PARAMETRIC test of One-Way ANOVA and related tests offered reliable results through the convenient transformation of data especially with a small sample size.

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References

تنگناهای طبیعی توسعه شهر لار (جنوب استان فارس)

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APA: Copy

SOBHANI LARI, S.. (2009). PARAMETRIC & NONPARAMETRIC STATISTICAL PROCEDURES OF ANOVA IN URBAN STUDIES(CASE STUDY: LAR CITY). GEOGRAPHY AND ENVIRONMENTAL STUDIES, 1(1), 70-112. SID. https://sid.ir/paper/186423/en

Vancouver: Copy

SOBHANI LARI S.. PARAMETRIC & NONPARAMETRIC STATISTICAL PROCEDURES OF ANOVA IN URBAN STUDIES(CASE STUDY: LAR CITY). GEOGRAPHY AND ENVIRONMENTAL STUDIES[Internet]. 2009;1(1):70-112. Available from: https://sid.ir/paper/186423/en

IEEE: Copy

S. SOBHANI LARI, “PARAMETRIC & NONPARAMETRIC STATISTICAL PROCEDURES OF ANOVA IN URBAN STUDIES(CASE STUDY: LAR CITY),” GEOGRAPHY AND ENVIRONMENTAL STUDIES, vol. 1, no. 1, pp. 70–112, 2009, [Online]. Available: https://sid.ir/paper/186423/en

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