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利用spss进行异方差检验的方法,望借鉴

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  • TA的每日心情
    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
    5 {% l$ F# Q3 UScatter plot of the standardised residuals on the standardised predicted values (ZRESID as  the Y variable, and ZPRED as the X variable% @$ _  L7 P+ I
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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。7 a9 s2 K7 o- e8 ]7 Y2 ~$ ~5 f3 a
    2. 用统计检验
    3 L. w8 ]% X/ L/ g. ?( }Heteroscedasticity——Testing and Correcting in SPSS.pdf Gwilym Pryce March 2002.doc (172.5 KB, 下载次数: 4)
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    : L; D6 T* v; q/ \Levene’s Test
    / _9 N+ r) X0 ~8 s/ GGoldfeld-Quandt Test
    7 ^* I7 |4 i: S2 ~1 A: }' XBreusch-Pagan Test/ b/ Y) R9 S; p: d/ T) u
    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)

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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)  
    3 k4 {' N) V1 q4 b0 h% y  v; E4 A(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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    请参考:regression_explained_SPSS regression_explained_SPSS.doc (368 KB, 下载次数: 0) + o* |. A% k4 j& c" o
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