• 제목/요약/키워드: Pearson's $\phi^2$

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가정환경검사(HOME)의 타당화 연구 (A Validation Study on the Home Observation for Measurement of the Environment in Elementary Children)

  • 이주리
    • 가정과삶의질연구
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    • 제10권1호통권19호
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    • pp.1-13
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    • 1992
  • The purpose of this study was to validate the Elementary HOME(Home Observation for Measurement of the Environment) with korean elementary children. Subjects were 536 mothers 1st-5th graders in the elementary schools in the Seoul. Pearson's r, pearcentage(%), phi($\phi$/), Cronbach's $\alpha$/ ware conducted for the statistical analysis. The major findings were as follows. 1) The item pass rate(percentage) were ranged 16~98. 2) The discriminant coefficients($\phi$/) of the item were ranged 0.06~0.58. 3) The reliability coefficients of the scale were that the split-falf was 0.84, and Cronbach's $\alpha$/ was 0.88. Considering the length of the scale, these reliability estimates appear to be at an acceptable level 4) The factor analysis and the correlations between HOME and SES indices and children's school schievement to test construct validity were conducted to test construct validity. Eight factors were extracted from the factor analysis and coefficients(r) were ranged 0.16~0.45 and -0.08~0.37.

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Analytical Characterization of a Dual-Material Double-Gate Fully-Depleted SOI MOSFET with Pearson-IV type Doping Distribution

  • Kushwaha, Alok;Pandey, Manoj K.;Pandey, Sujata;Gupta, Anil K.
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제7권2호
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    • pp.110-119
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    • 2007
  • A new two-dimensional analytical model for dual-material double-gate fully-depleted SOI MOSFET with Pearson-IV type Doping Distribution is presented. An investigation of electrical MOSFET parameters i.e. drain current, transconductance, channel resistance and device capacitance in DM DG FD SOI MOSFET is carried out with Pearson-IV type doping distribution as it is essential to establish proper profiles to get the optimum performance of the device. These parameters are categorically derived keeping view of potential at the center (${\phi}_c$) of the double gate SOI MOSFET as it is more sensitive than the potential at the surface (${\phi}_s$). The proposed structure is such that the work function of the gate material (both sides) near the source is higher than the one near the drain. This work demonstrates the benefits of high performance proposed structure over their single material gate counterparts. The results predicted by the model are compared with those obtained by 2D device simulator ATLAS to verify the accuracy of the proposed model.

A Measures of Association for Two-way Contingency Tables by Maximum Association

  • Kim, Sang-Giun;Lee, Woo-Rhee
    • Communications for Statistical Applications and Methods
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    • 제12권3호
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    • pp.773-781
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    • 2005
  • Pearson $X^2$ statistics can be used as the measure of association for two-way contingency tables. However, it's magnitude depends on the sample size N, the normalized index ${\phi}^2 = X^2\;/\;N$ has. been widely used in many researches instead of that. In this study, we firstly point out that the actual upper bound of ${\phi}^2$ can be affected by the given marginals of the tables, so that ${\phi}^2$ should be adjusted the actual maximum to get the proper range [ 0, 1]. Also we point out that the maximum could be found easily by using several algorithms like Hu and Mukerjee(2002). With the actual maximum, we propose the relative measure of association which is normalized by it.

혼합자료에서 독립성 검정에 의한 연관성 측정 (A Unified Measure of Association for Complex Data Obtained from Independence Tests)

  • 이승천;허문열
    • 응용통계연구
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    • 제16권1호
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    • pp.151-167
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    • 2003
  • 두 확률변수의 연관성을 측정하는 측도는 많이 있으나, 이러한 측도는 같은 유형인 변수들 간의 관계를 측정하기 위한 것으로 여러 가지 유형의 변수들이 혼재되어 있는 혼합자료에서 사용하기는 곤란하다 본 논문에서는 두 확률변수의 독립성 검정을 통해 구한 p-값으로 혼합자료에서 사용될 수 있는 새로운 연관성 측도를 구하였으며, 이렇게 구하여진 연관성 측도가 혼합자료에서 변수들 간의 연관성을 비교하는데 유용하게 사용될 수 있음을 보였다.

혼합자료에서 독립성검정에 의한 연관성 측정 (A unified measure of association for complex data obtained from independence tests)

  • 이승천;허문열
    • 응용통계연구
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    • 제34권4호
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    • pp.523-536
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    • 2021
  • 두 확률변수의 연관성을 측정하는 측도는 많이 있으나, 이러한 측도는 같은 유형인 변수들 간의 관계를 측정하기 위한 것으로 여러 가지 유형의 변수들이 혼재되어 있는 혼합자료에서 사용하기는 곤란하다. 본 논문에서는 두 확률변수의 독립성 검정을 통해 구한 p-값으로 혼합자료에서 사용될 수 있는 새로운 연관성 측도를 구하였으며, 이렇게 구하여 진 연관성 측도가 혼합자료에서 변수들 간의 연관성을 비교하는데 유용하게 사용될 수 있음을 보였다.