方差分析时，如何得到两两比较的F值？ 方差齐性分析中的F值到底该怎样计算?
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SAS\u6ca1\u7528\u8fc7,\u597d\u50cf\u662f\u7528means\u547d\u4ee4 \u52a0\u4e0a\u53c2\u6570\u8fdb\u884c\u7684.
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means--one
way
ANOVA，先做方差齐性检验，Options——Homogeneity
of
variance，p大于0，05方差齐才用LSD/SNK，不齐的话用Dunnelt's
T3和Dunnelt's
C。你单给出三个数据我这里是算不出来的
绛旓細涓鑸渶瑕併傚湪绾縎PSS銆孲PSSAU銆嶄腑鎻愪緵鏂瑰樊鍒嗘瀽涓や袱姣旇緝鏂规硶锛屽彲涓閿敓鎴寰楀埌鍒嗘瀽缁撴灉銆 鎶婇夐」鎷栨嫿鍒板垎鏋愭閲屽嵆鍙紝闈炲父绠鍗曟柟渚裤傛壘鍒般愯繘闃舵柟娉曘--銆愪簨鍚庡閲嶆瘮杈冦戙傞夋嫨涓や袱瀵规瘮鐨鏂规硶锛屾妸娴嬮噺椤规嫋鍒板彸渚у垎鏋愭锛岀偣鍑诲紑濮嬪垎鏋愬嵆鍙
绛旓細鍦╯pss鐨勫崟鍥犵礌鏂瑰樊鍒嗘瀽鏃posthoc閿殑浣滅敤寮瑰嚭鍚勭粍鍧囧肩殑涓や袱姣旇緝绐楀彛銆侾ostHoc锛氭寚瀹氫竴绉嶅閲嶆瘮杈冩楠屾柟娉曞拰姘村钩銆侽ptions锛氭寚瀹氳杈撳嚭鐨勭粺璁￠噺锛堟柟宸綈鎬ф楠屽拰缁熻鎻忚堪缁撴灉锛夛紝鎵浠ュ湪spss鐨勫崟鍥犵礌鏂瑰樊鍒嗘瀽鏃秔osthoc閿殑浣滅敤寮瑰嚭鍚勭粍鍧囧肩殑涓や袱姣旇緝绐楀彛銆傘
绛旓細1銆佸浘鍩烘硶(Tukey's Method)鍙堢ОT澶氶噸姣旇緝娉曪紝鏄敤鏉ユ瘮杈冨潎鍊 鍜 (g鈮爃)鐨勬墍鏈夊彲鑳界殑涓や袱宸紓鐨勪竴绉嶈仈绔嬫楠( a simultaneous test) ( Tukey,1953)銆傜洰鏍囨槸涓烘墍鏈涓や袱姣旇緝鏋勫缓100(1-伪)%鐨勭疆淇″尯闂淬傝繖绉嶆柟娉曠殑鍩虹鏄鐢熷寲鐨勬瀬宸垎甯( studentized range distribution)銆備护r涓轰粠鍧囧间负渭銆...
绛旓細z-test锛氬ぇ鏍锋湰锛>30;z鍒嗗竷銆倀-test锛氬皬鏍锋湰;<30;t鍒嗗竷銆備絾鏄紝瀵逛簬 > 30 鐨勬牱鏈紝Z-test妫楠岃姹傜煡閬撴讳綋鍙傛暟鐨勬爣鍑嗗樊锛屽湪鐞嗚涓婃垚绔嬶紝浜嬪疄涓婃讳綋鍙傛暟鐨勬爣鍑嗗樊鏈煡锛屽疄闄呭簲鐢ㄤ腑涓鑸娇鐢╰-test銆5. 灏忕煡璇嗭細濡備綍閫夊彇涓や袱姣旇緝鐨鏂规硶锛5-1銆丼NK 娉曟渶涓哄父鐢紝浣嗗綋涓や袱姣旇緝鐨勬鏁版瀬澶氭椂锛岃鏂规硶...
绛旓細濡傛灉鏄繖鏍凤紝鍙兘杩欑涓や袱姣旇緝鐨勬柟娉曠浉瀵规瘮杈冨鏉撅紙鐩稿浜庝繚瀹堟垨绉颁弗鏍肩殑鏂规硶鑰岃█锛锛屼袱涓ゆ瘮杈冪殑鏂规硶寰堝锛屼綘鍙互澶氱湅鍑犱釜锛岀湅鐪嬫槸涓嶆槸浠嶇劧鏄剧ず鏄湁宸紓鐨勩傚悓鏃惰繖鏍风殑鐭涚浘涔熻鏄庡彲鑳戒綘杩欎釜鏁堝簲灏变粙浜庢樉钁椾笌涓嶆樉钁椾箣闂寸殑杈圭紭鍦板甫銆傝繖涓椂鍊欐渶濂藉弬鑰冨叾浠栫粺璁￠噺锛岀壒鍒槸鏁堝簲閲忥紙effect size锛锛屾柟宸垎鏋閫氬父閲囩敤...
绛旓細绗竴涓〃鐨勪袱绉嶆楠屾柟娉曪紝lsd鏈鐏垫晱锛宻cheffe姣攍sd鏇村姞淇濆畧銆傛墍浠ヨlsd鐘敊璇殑姒傜巼鏇撮珮涓浜涳紝鍥犳缁撴灉鍙栬垗灏辩湅浣犺嚜宸卞缁撴灉鐨勮姹備簡 鑷充簬绗簩涓〃鏍 璇存槑浜1257杩4涓粍鐨鏂瑰樊榻愭э紝sig=0.068锛0.05
绛旓細PROC ANOVA DATA=鏁版嵁闆;CLASS 鍥犵礌;MODEL 鎸囨爣=鍥犵礌;MEANS 鍥犵礌/姣旇緝鏂规硶濡係NK ALPHA=0.05 RUN;
绛旓細瑕佺浉浜姣旇緝锛熷涓旀寜鎴戠殑鐞嗚В鏉ヨВ绛斾綘鐨勯棶棰樺惂銆傚鏋滀綘璇寸殑鈥瀵规瘮缁1鍜屽姣旂粍1鈥濅笉鏄柊澧炲姞杩涙潵鐨勫彉閲忥紝涔熷氨鏄鍒嗙粍鐨勪緷鎹彧鏈墆i銆乻i銆乻e杩欎笁涓粍锛岄偅涔堝氨鍙互杩涜鍗曞洜绱鏂瑰樊鍒嗘瀽銆傜敤SPSS鍋氥傚仛鐨勬椂鍊閫変笂鈥滀簨鍚庢楠屸濇柟娉曪紝灏变細鍑虹幇yi銆乻i銆乻e杩欎笁涓粍姣忎袱缁勪箣闂寸殑姣旇緝缁撴灉銆
绛旓細鏂瑰樊榻愭楠岋紝鐢ㄤ簬鍒嗘瀽涓嶅悓瀹氱被鏁版嵁缁勫埆瀵瑰畾閲忔暟鎹椂鐨勬尝鍔ㄦ儏鍐垫槸鍚︿竴鑷达紟渚嬪鐮旂┒浜哄憳鎯崇煡閬撲笁缁勫鐢熺殑鏅哄晢娉㈠姩鎯呭喌鏄惁涓鑷达紙閫氬父鎯呭喌甯屾湜娉㈠姩涓鑷达紝鍗虫柟宸綈锛夈傚洓銆鏂瑰樊鍒嗘瀽涓涓や袱瀵规瘮濡備綍鍒嗘瀽锛熷綋鎴戜滑鎯崇爺绌朵笉鍚岀粍鍒笅锛屽缁勬暟鎹殑宸紓鎬ф椂锛岄氬父浼氶夋嫨鏂瑰樊鍒嗘瀽銆備絾鏄柟宸垎鏋愬彧鑳寰楀埌涓涓樉钁楁х殑缁撴灉锛...
绛旓細鏂瑰樊鍒嗘瀽鍛堢幇鍑烘樉钁楁у彲浠ヨ繘涓姝瀵规瘮涓や袱缁勫埆鐨勫樊寮傦紝濡傛灉鍙湁涓ょ粍鏁版嵁瀵规瘮锛閫氬父鐢╰妫楠屽嵆鍙傚湪绾縎PSS銆孲PSSAU銆嶆彁渚6绫讳簨鍚庡閲姣旇緝鏂规硶濡傚浘锛岃繘闃舵柟娉曢噷闈㈢殑浜嬪悗澶氶噸姣旇緝鍙疄鐜般傞兘鏈夋櫤鑳芥枃瀛楀垎鏋愬拰鍒嗘瀽寤鸿鐩存帴浣跨敤鍗冲彲銆
