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利用spss进行异方差检验的方法,望借鉴

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    奋斗
    2014-1-11 14:06
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    发表于 2013-10-13 16:12 |只看该作者 |倒序浏览
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    1. 用图表检验Analyze -> regression -> Linear-> Plots
    9 o( R1 J+ [* L/ VScatter plot of the standardised residuals on the standardised predicted values (ZRESID as  the Y variable, and ZPRED as the X variable( y/ h+ g! Q7 B- s
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    如果图表显示有可能存在异方差,需要用统计检验来进一步检测异方差是否确实存在。  N3 _' n6 @4 n. e0 |6 z2 q" W
    2. 用统计检验7 f7 i) ?7 d# t/ \
    Heteroscedasticity——Testing and Correcting in SPSS.pdf Gwilym Pryce March 2002.doc (172.5 KB, 下载次数: 4)
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      r$ p5 K" S  Y, v+ r4 `9 U4 S* {8 Q2 }5 |; q
    Levene’s Test3 d9 b9 v9 r0 e! W
    Goldfeld-Quandt Test8 Y# F3 Y9 m* ]' d& Q+ l7 y
    Breusch-Pagan Test$ z4 Q9 ]9 W: h' w% O" k) _
    White‘s Test (比较常用来检验异方差)
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    Assume you want to run a regression of wage on age, work experience,education, gender, and a dummy for sectorofemployment (whether employed in the public sector).
    wage = function(age, workexperience, education, gender, sector)
    or, as your textbook will have it,
    wage = b1 + b2*age + b3*work experience+ b4*education + b5*gender + b6*sector
    The White’s test is usually used as a test for heteroskedasticity.  In this test, a regression of the squares ofthe residuals is run on the variables suspected of causing theheteroskedasticity, their squares, and cross products.
    (residuals)2 = b0 + b1 educ + b2 work_ex+ b3 (educ)2  + b4 (work_ex)2 + b5(educ*work_ex)
      Y! i2 u7 `+ x
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    White’s Test
    ·        Calculate n*R2                            à              R2  = 0.037, n=2016           à    Thus, n*R2 = .037*2016 = 74.6.

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    ·        Compare this value with c2 (n), i.e.with  c2 (2016)  6 P6 x, n+ o; e
    (c2  is the symbol for theChi-Square distribution)

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    c2 (2016) = 124obtained from c2 table.            (For 955 confidence)              As n*R2  < c2 ,heteroskedasticity can not be confirmed.
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    + M$ A5 U. b" l请参考:regression_explained_SPSS regression_explained_SPSS.doc (368 KB, 下载次数: 0) ) I6 _( l, G/ a4 F5 |, Y
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