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ogeneity test) ? Q檢驗(yàn) P值,做出推論和判斷 若 Q≥x2a,k1,則 P≤α, 拒絕 H0,接受 H1,可以認(rèn)為各研究的效應(yīng)指標(biāo)不相同,即各研究間存在異質(zhì)性,這些研究來(lái)自 2個(gè)或多個(gè)不同的總體; 若 Q< x2a,k1,則 P> α, 不拒絕 H0,尚不能認(rèn)為各研究的效應(yīng)指標(biāo)不相同,即可以認(rèn)為各研究間是同質(zhì)的,這些研究來(lái)自于同一個(gè)總體。 異質(zhì)性檢驗(yàn) (heterogeneity test) ? A useful statistic for quantifying inconsistency ? I2=((Qdf)/Q)*100% Q is the chisquared statistic。 df is its degrees of freedom(自由度) . This describes the percentage of the variability in effect estimates that is due to heterogeneity rather than sampling error (chance). 異質(zhì)性檢驗(yàn) (heterogeneity test) A rough guide to interpretation is as follows: ? 0% to 40%: might not be important。 ? 30% to 60%: may represent moderate heterogeneity。 ? 50% to 90%: may represent subs