SPSS 分析簡介

SPSS 分析簡介

何明洲中山醫學大學心理系

資料在 SPSS 上之排列

Between-subject design, one factor with three levels

Within-subject design, one factor with three levels

分析方法的選擇

以 within-subject design 為主

Within-subject design

• Single Factor – Three Levels

• Two Factors – 2 x 2

• Two Factors – 2 x 3

Single Factor – Three Levels

Single Factor – Three Levels

• 情緒雙字詞對於詞彙判斷作業的影響• 情緒雙字詞種類：中性、負向、正向• AnalyzeGeneral Linear ModelRepeat

ed Measures 。接著填上獨變項 (emotion) 及其 Numbers of Levels (3) ，最後按下 Define 。

Tests of Within-Subjects Effects

Measure: MEASURE_1

8825.036 2 4412.518 1.140 .333 .071 2.281 .2328825.036 1.936 4557.988 1.140 .332 .071 2.208 .2288825.036 2.000 4412.518 1.140 .333 .071 2.281 .2328825.036 1.000 8825.036 1.140 .302 .071 1.140 .170

116083.660 30 3869.455116083.660 29.043 3997.022116083.660 30.000 3869.455116083.660 15.000 7738.911

Sphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-bound

SourceEMOTION

Error(EMOTION)

Type III Sumof Squares df Mean Square F Sig.

Partial EtaSquared

Noncent.ParameterObserved Powera

Computed using alpha = .05a.

Estimates

Measure: MEASURE_1

736.877 44.531 641.962 831.792761.976 45.518 664.958 858.995730.589 50.559 622.825 838.353

EMOTION123

Mean Std. Error Lower Bound Upper Bound95% Confidence Interval

Pairwise Comparisons

Measure: MEASURE_1

-25.099 19.900 .226 -67.515 17.3176.288 22.870 .787 -42.458 55.034

25.099 19.900 .226 -17.317 67.51531.388 23.065 .194 -17.775 80.550-6.288 22.870 .787 -55.034 42.458

-31.388 23.065 .194 -80.550 17.775

(J) EMOTION231312

(I) EMOTION1

2

3

Mean Difference(I-J) Std. Error Sig.a Lower Bound Upper Bound

95% Confidence Interval forDifferencea

Based on estimated marginal meansAdjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).a.

Compare withalpha = .05 / #of comparison

兩兩比較， alpha = .05 / 3 = .016

Two Factors – 2 x 2


• 情緒雙字詞（正向或負向） x 詞頻高低（高或低）對於詞彙判斷作業的影響

• AnalyzeGeneral Linear ModelRepeated Measures 。接著填上獨變項 (emotion和 freq) 及其 Numbers of Levels ( 各為 2) ，最後按下 Define 。

填上獨變項 (emotion 和 freq) 及其 Numbers of Levels ( 各為 2) ，最後按下 Define


Measure: MEASURE_1

322656.661 1 322656.661 39.235 .000 .723 39.235 1.000322656.661 1.000 322656.661 39.235 .000 .723 39.235 1.000322656.661 1.000 322656.661 39.235 .000 .723 39.235 1.000322656.661 1.000 322656.661 39.235 .000 .723 39.235 1.000123356.544 15 8223.770123356.544 15.000 8223.770123356.544 15.000 8223.770123356.544 15.000 8223.770195787.444 1 195787.444 14.810 .002 .497 14.810 .949195787.444 1.000 195787.444 14.810 .002 .497 14.810 .949195787.444 1.000 195787.444 14.810 .002 .497 14.810 .949195787.444 1.000 195787.444 14.810 .002 .497 14.810 .949198294.212 15 13219.614198294.212 15.000 13219.614198294.212 15.000 13219.614198294.212 15.000 13219.614294714.623 1 294714.623 24.634 .000 .622 24.634 .996294714.623 1.000 294714.623 24.634 .000 .622 24.634 .996294714.623 1.000 294714.623 24.634 .000 .622 24.634 .996294714.623 1.000 294714.623 24.634 .000 .622 24.634 .996179453.853 15 11963.590179453.853 15.000 11963.590179453.853 15.000 11963.590179453.853 15.000 11963.590

Sphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-bound

SourceEMOTION

Error(EMOTION)

FREQ

Error(FREQ)

EMOTION * FREQ

Error(EMOTION*FREQ)


Partial EtaSquared



Main effect

Main effect

Interaction effect

Estimates

Measure: MEASURE_1

749.427 43.914 655.827 843.026607.419 25.529 553.006 661.833

EMOTION12



Measure: MEASURE_1

142.007* 22.671 .000 93.685 190.330-142.007* 22.671 .000 -190.330 -93.685

(J) EMOTION21

(I) EMOTION12



Based on estimated marginal meansThe mean difference is significant at the .05 level.*. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).a.

Estimates

Measure: MEASURE_1

733.733 46.248 635.158 832.307623.113 24.442 571.017 675.210

FREQ12



Measure: MEASURE_1

110.620* 28.744 .002 49.353 171.886-110.620* 28.744 .002 -171.886 -49.353

(J) FREQ21

(I) FREQ12



Based on estimated marginal meansThe mean difference is significant at the .05 level.*. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).a.

因為只有 2個 levels,main effect看我即可

因為只有 2個 levels,main effect看我即可

4. EMOTION * FREQ

Measure: MEASURE_1

736.877 44.531 641.962 831.792761.976 45.518 664.958 858.995730.589 50.559 622.825 838.353484.250 11.098 460.596 507.904

FREQ1212

EMOTION1

2


Interaction effect 。需再作 simple (main) effect

Factor B

B1 B2

Factor A A1 A1B1 A1B2

A2 A2B1 A2B2

freq

高低

Emotion 正向正向 / 高正向 / 低

負向負向 / 高負向 / 低

Factorial matrixCompare withalpha = .05 / #of comparisone.g., in this case,alpha = .025

freq

高低

Emotion 正向正向 / 高正向 / 低

負向負向 / 高負向 / 低

Factorial matrix



• 情緒雙字詞（正向或負向） x 詞頻高低（高、中、低）對於詞彙判斷作業的影響

• AnalyzeGeneral Linear ModelRepeated Measures 。接著填上獨變項 (emotion和 freq) 及其 Numbers of Levels ( 各為 2和 3) ，最後按下 Define 。


Measure: MEASURE_1

228216.305 1 228216.305 4.859 .044 .245 4.859 .541228216.305 1.000 228216.305 4.859 .044 .245 4.859 .541228216.305 1.000 228216.305 4.859 .044 .245 4.859 .541228216.305 1.000 228216.305 4.859 .044 .245 4.859 .541704448.849 15 46963.257704448.849 15.000 46963.257704448.849 15.000 46963.257704448.849 15.000 46963.257338832.985 2 169416.492 16.047 .000 .517 32.094 .999338832.985 1.484 228397.636 16.047 .000 .517 23.806 .993338832.985 1.608 210698.994 16.047 .000 .517 25.806 .995338832.985 1.000 338832.985 16.047 .001 .517 16.047 .962316720.879 30 10557.363316720.879 22.253 14232.833316720.879 24.122 13129.924316720.879 15.000 21114.725315878.055 2 157939.028 9.823 .001 .396 19.646 .972315878.055 1.728 182796.186 9.823 .001 .396 16.975 .954315878.055 1.933 163452.643 9.823 .001 .396 18.984 .969315878.055 1.000 315878.055 9.823 .007 .396 9.823 .834482342.916 30 16078.097482342.916 25.921 18608.541482342.916 28.988 16639.380482342.916 15.000 32156.194

Sphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-bound

SourceEMOTION

Error(EMOTION)

FREQ

Error(FREQ)

EMOTION * FREQ

Error(EMOTION*FREQ)


Partial EtaSquared



Significant interaction simple (main) effect

4. EMOTION * FREQ

Measure: MEASURE_1

736.877 44.531 641.962 831.792761.976 45.518 664.958 858.995730.589 50.559 622.825 838.353484.250 11.098 460.596 507.904700.819 45.339 604.182 797.456751.831 38.230 670.346 833.316

FREQ123123

EMOTION1

2


Emotion = 1: Freq 1 vs. 2 vs. 3Emotion = 2: Freq 1 vs. 2 vs. 3

Freq = 1: Emo 1 vs. 2Freq = 2: Emo 1 vs. 2Freq = 3: Emo 1 vs. 2

freq

高中低

Emotion 正向正向 / 高正向 / 中正向 / 低

負向負向 / 高負向 / 中負向 / 低

Factorial matrixCompare withalpha = .05 / #of comparisone.g., in this case,alpha = .025

freq

高中低



如果剛剛的比較有顯著（如當 emotion= 正向時， freq=高中低至少會有一個不同於其他），就需要更進一步，兩兩比較（高低、高中、低中）， alpha = .025/3 = .008

freq

高中低



Factorial matrix

Compare withalpha = .05 / #of comparisone.g., in this case,alpha = .016

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SPSS 分析簡介