運(yùn)用SPSS進(jìn)行信度分析

1、SPSS信度分析步驟資料輸入Data輸入頁(yè)變項(xiàng)定義頁(yè)信度分析1.再測(cè)信度（Test-Retest Reliability）2.復(fù)本信度（Alternate-form Reliability）3.折半信度（Split-half Reliaility）4.內(nèi)部一致性（Internal Consistency Coefficient）【計(jì)算系數(shù)】再測(cè)信度（Test-Retest Reliability）某空間性向測(cè)驗(yàn)有20題單選題，分別在十月與第二年四月施測(cè)同一組10名學(xué)生，以下是測(cè)驗(yàn)結(jié)果，請(qǐng)計(jì)算信度。PersonABCDEFGHIJOct18165131516125810Apr1818616171

2、6145711 步驟一 按【Analyze】【Correlate】【Bivariate】步驟二 會(huì)出現(xiàn)下面的對(duì)話框，將左邊兩變項(xiàng)選入右邊Variables內(nèi)，在Correlation Coefficients方盒內(nèi)選取Pearson；在Test of Significance方盒內(nèi)選取Two-tailed；勾選最下面的Flag significant correlations，之后按鍵。補(bǔ)充 若想呈現(xiàn)平均及標(biāo)準(zhǔn)差可在按鍵前按進(jìn)入下個(gè)對(duì)話框，在Statistics的方盒內(nèi)選取Means and standard deviations，按繼續(xù)。Correlations紙筆計(jì)算結(jié)果：PersonAB

3、CDEFGHIJOct1816513151612581011.84.4226Apr1818616171614571112.84.8744X1 X2324288302082552561682556110X1X2 =1720N=10復(fù)本信度（Alternate-form Reliability）某自我概念量表，有20題是非題，題本A與B 分別施測(cè)同一組10個(gè)人，分?jǐn)?shù)愈高表示愈具有正向自我概念，以下是施測(cè)結(jié)果，請(qǐng)計(jì)算信度。PersonABCDEFGHIJForm A161214109111391612Form B1512151010121491613Correlations紙筆計(jì)算結(jié)果：Person

4、ABCDEFGHIJForm A16121410911139161212.22.4413Form B151215101012149161312.62.289XA XB2401442101009013218281256156XAXB=1591N=106題的隨堂測(cè)驗(yàn)施測(cè)5位學(xué)生， Y表示答對(duì)，N表示答錯(cuò)，以下是測(cè)驗(yàn)結(jié)果，請(qǐng)計(jì)算信度。PersonItem 1Item 2Item 3Item 4Item 5Item 6JoeYYYYNYSamYNNYNYSueYYNYYYPegNYNNYNGilNYNNYY折半信度（Split-half Reliability）步驟一 輸入資料步驟二 轉(zhuǎn)換資料為數(shù)字按

5、【Transform】【Recode】【Into Same Variables】出現(xiàn)下面的對(duì)話框后將左邊方格內(nèi)item1item6選至右邊String Variables內(nèi)后點(diǎn)選鍵出現(xiàn)下列對(duì)話框后，將”N”定義為”0”，將”Y”定義為”1”后按鍵之后便會(huì)將資料轉(zhuǎn)換成下面的數(shù)字步驟三 將string的屬性改為numeric步驟四 計(jì)算奇數(shù)題和偶數(shù)題的和按【Transform】【Compute】即出現(xiàn)下面的對(duì)話框結(jié)束后便會(huì)在spss Data Editor對(duì)話框中出現(xiàn)奇數(shù)題和偶數(shù)題的和步驟四 執(zhí)行BivariateCorrelations紙筆計(jì)算結(jié)果. 計(jì)算兩個(gè)”半測(cè)驗(yàn)”的相關(guān)StudentJoe

6、SamSuePegGilOdds212111.4.4899Evens323122.2.7483X1X262612X1X2 =17N=5 校正相關(guān)系數(shù)為折半信度Spearmen-Brown prophesy formula 史比校正公式 (當(dāng)兩個(gè)半測(cè)驗(yàn)變異數(shù)相等時(shí)使用)Guttman prophesy formula 哥德曼校正公式 (當(dāng)兩個(gè)半測(cè)驗(yàn)變異數(shù)不等時(shí)使用)*折半信度* 折半信度也可直接使用SPSS計(jì)算 步驟一 輸入資料步驟二 按【Analyze】【Scale】【Reliability Analysis】將左邊方格內(nèi)的變項(xiàng)依所需次序分前后半選入右邊items的方格內(nèi)，在左下角的Model

7、框中選取Split-half后按鍵，再按。Reliability* Method 1 (space saver) will be used for this analysis * R E L I A B I L I T Y A N A L Y S I S - S C A L E (S P L I T)Reliability CoefficientsN of Cases = 5.0 N of Items = 6Correlation between forms = .8729 Equal-length Spearman-Brown = .9321Guttman Split-half = .888

8、9 Unequal-length Spearman-Brown = .9321 3 Items in part 1 3 Items in part 2Alpha for part 1 = -2.5000 Alpha for part 2 = .0000透過平均值可看出其難度平均高的難度低 平均低的難度高排序由難度低到高2 6 1 4 5 3，在丟入變項(xiàng)時(shí)依單偶分為：2 1 5、6 4 3兩組，排列數(shù)據(jù)時(shí)前后排列。CorrelationsCorrelations* Method 1 (space saver) will be used for this analysis * R E L I A

9、B I L I T Y A N A L Y S I S - S C A L E (S P L I T)Reliability CoefficientsN of Cases = 5.0 N of Items = 6Correlation between forms = .0000 Equal-length Spearman-Brown = .0000Guttman Split-half = .0000 Unequal-length Spearman-Brown = .0000>Note # 11999>The correlation between forms (halves) of

10、 the test is negative. This>violates reliability model assumptions. Statistics which are functions of>this value may have estimates outside theoretically possible ranges. 3 Items in part 1 3 Items in part 2Alpha for part 1 = -.9000 Alpha for part 2 = .6923內(nèi)部一致性（Internal Consistency Coefficient

11、）【計(jì)算系數(shù)】有5題問答題的隨測(cè)驗(yàn)施測(cè)5名學(xué)生，每題問答題配分是5分，以下是施測(cè)結(jié)果，請(qǐng)計(jì)算信度personItem 1Item 2Item 3Item 4Item 5Joe34435Sam43433Sue23323Peg44534Gil32433Dot32323步驟一 輸入資料步驟二 按【Analyze】【Scale】【Reliability Analysis】將左邊方格內(nèi)的變項(xiàng)全選入右邊items的方格內(nèi)，在左下角的Model框中選取Alpha后按鍵。步驟三 出現(xiàn)下列對(duì)話框候選取下列勾選后按鍵按。Reliability* Method 2 (covariance matrix) will

12、be used for this analysis * R E L I A B I L I T Y A N A L Y S I S - S C A L E (A L P H A) Correlation Matrix ITEM_1 ITEM_2 ITEM_3 ITEM_4 ITEM_5ITEM_1 1.0000ITEM_2 .2970 1.0000ITEM_3 .7647 .5941 1.0000ITEM_4 .6860 .4330 .8575 1.0000ITEM_5 .1588 .8018 .4763 .4629 1.0000 N of Cases = 6.0Item-total Stat

13、istics Scale Scale Corrected Mean Variance Item- Squared Alpha if Item if Item Total Multiple if Item Deleted Deleted Correlation Correlation DeletedITEM_1 13.0000 6.4000 .5251 .6471 .8472ITEM_2 13.1667 5.3667 .6757 .7500 .8116ITEM_3 12.3333 5.4667 .8333 .8588 .7642ITEM_4 13.5000 6.7000 .7481 .7857

14、.8093ITEM_5 12.6667 5.8667 .5922 .7143 .8333Reliability Coefficients 5 itemsAlpha = .8457 Standardized item alpha = .8609紙筆計(jì)算結(jié)果Question12345Total ScoreJoe3443519Sam4343317Sue2332313Peg4453420Gil3243315Dot3232313i2 =.4722.6667.4722.2222.5833=16.1667, 2=7.4722 =2.7335 k=5 N=6有6題的隨測(cè)驗(yàn)施測(cè)5名學(xué)生，Y表示答對(duì)，N表示答錯(cuò)，

15、以下是施測(cè)結(jié)果，請(qǐng)計(jì)算信度。Question123456AYYYYNYBYNNYNYCYNNYNNDNYNNNNENYNNYY步驟一 轉(zhuǎn)換資料Y正確為1，N不正確為0步驟二 與題四求內(nèi)部致性的步驟相同Reliability* Method 2 (covariance matrix) will be used for this analysis * R E L I A B I L I T Y A N A L Y S I S - S C A L E (A L P H A) Correlation MatrixITEM_1ITEM_2 ITEM_3ITEM_4ITEM_5ITEM_6ITEM_11.

16、0000ITEM_2-.66671.0000ITEM_3.4082.40821.0000ITEM_41.0000-.6667.40821.0000ITEM_5-.6124.4082-.2500-.61241.0000ITEM_6.1667.1667 .4082.1667.40821.0000* * * Warning * * * Determinant of matrix is close to zero: 8.426E-36 Statistics based on inverse matrix for scale ALPHA are meaningless and printed as .

17、N of Cases = 5.0Item-total Statistics Scale Scale Corrected Mean Variance Item- Squared Alpha if Item if Item Total Multiple if Item Deleted Deleted Correlation Correlation DeletedITEM_1 2.2000 1.7000 .1400 . .2941ITEM_2 2.2000 2.2000 -.1846 . .5114ITEM_3 2.6000 1.3000 .6864 . -.0962ITEM_4 2.2000 1.7000 .1400 . .2941ITEM_5 2.6000 2.3000 -.2212 . .4891ITEM_6 2.2000 1.2000 .5833 . -.1042 R E L I A B I L I