Posted: September 13th, 2017
The role of co-articulation at word boundaries in the frequency effect in serial recall.
The role of co-articulation at word boundaries in the frequency effect in serial recall.
Order must be written referring to the journal articles and additional material uploaded. For results and discussion must be written referring to the spss results that is provided.
General Linear Model
Within-Subjects Factors
Measure: MEASURE_1
Frequency position Dependent Variable
1 1 HighF1
2 HighF2
3 HighF3
4 HighF4
5 HighF5
6 HighF6
2 1 LowF1
2 LowF2
3 LowF3
4 LowF4
5 LowF5
6 LowF6
Descriptive Statistics
Mean Std. Deviation N
HighF1 .9370 .06689 138
HighF2 .8686 .11108 138
HighF3 .8075 .14591 138
HighF4 .7583 .15851 138
HighF5 .7338 .15926 138
HighF6 .7811 .13746 138
LowF1 .8963 .09522 138
LowF2 .7890 .15044 138
LowF3 .7004 .19716 138
LowF4 .62788 .199185 138
LowF5 .5967 .19308 138
LowF6 .6702 .16998 138
Mauchly’s Test of Sphericitya
Measure: MEASURE_1
Within Subjects Effect Mauchly’s W Approx. Chi-Square df Sig. Epsilonb
Greenhouse-Geisser
Frequency 1.000 .000 0 . 1.000
position .202 215.825 14 .000 .586
Frequency * position .658 56.574 14 .000 .838
Note the sphericity violation across positions means we should NOT report the sphericity assumed statistics for the position effect or it’s interaction
Mauchly’s Test of Sphericitya
Measure: MEASURE_1
Within Subjects Effect Epsilon
Huynh-Feldt Lower-bound
Frequency 1.000 1.000
position .600 .200
Frequency * position .868 .200
Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.a
a. Design: Intercept
Within Subjects Design: Frequency + position + Frequency * position
b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.
Tests of Within-Subjects Effects
Measure: MEASURE_1
Source Type III Sum of Squares df Mean Square
Frequency Sphericity Assumed 4.220 1 4.220
Greenhouse-Geisser 4.220 1.000 4.220
Huynh-Feldt 4.220 1.000 4.220
Lower-bound 4.220 1.000 4.220
Error(Frequency) Sphericity Assumed 2.815 137 .021
Greenhouse-Geisser 2.815 137.000 .021
Huynh-Feldt 2.815 137.000 .021
Lower-bound 2.815 137.000 .021
position Sphericity Assumed 12.101 5 2.420
Greenhouse-Geisser 12.101 2.929 4.131
Huynh-Feldt 12.101 3.000 4.033
Lower-bound 12.101 1.000 12.101
Error(position) Sphericity Assumed 6.495 685 .009
Greenhouse-Geisser 6.495 401.337 .016
Huynh-Feldt 6.495 411.056 .016
Lower-bound 6.495 137.000 .047
Frequency * position Sphericity Assumed .442 5 .088
Greenhouse-Geisser .442 4.190 .106
Huynh-Feldt .442 4.339 .102
Lower-bound .442 1.000 .442
Error(Frequency*position) Sphericity Assumed 2.879 685 .004
Greenhouse-Geisser 2.879 574.071 .005
Huynh-Feldt 2.879 594.443 .005
Lower-bound 2.879 137.000 .021
Tests of Within-Subjects Effects
Measure: MEASURE_1
Source F Sig. Partial Eta Squared
Frequency Sphericity Assumed 205.383 .000 .600
Greenhouse-Geisser 205.383 .000 .600
Huynh-Feldt 205.383 .000 .600
Lower-bound 205.383 .000 .600
Error(Frequency) Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
position Sphericity Assumed 255.245 .000 .651
Greenhouse-Geisser 255.245 .000 .651
Huynh-Feldt 255.245 .000 .651
Lower-bound 255.245 .000 .651
Error(position) Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Frequency * position Sphericity Assumed 21.043 .000 .133
Greenhouse-Geisser 21.043 .000 .133
Huynh-Feldt 21.043 .000 .133
Lower-bound 21.043 .000 .133
Error(Frequency*position) Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Tests of Within-Subjects Effects
Measure: MEASURE_1
Source Noncent. Parameter Observed Power
Frequency Sphericity Assumed 205.383 1.000
Greenhouse-Geisser 205.383 1.000
Huynh-Feldt 205.383 1.000
Lower-bound 205.383 1.000
Error(Frequency) Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
position Sphericity Assumed 1276.225 1.000
Greenhouse-Geisser 747.732 1.000
Huynh-Feldt 765.840 1.000
Lower-bound 255.245 1.000
Error(position) Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
Frequency * position Sphericity Assumed 105.215 1.000
Greenhouse-Geisser 88.176 1.000
Huynh-Feldt 91.305 1.000
Lower-bound 21.043 .995
Error(Frequency*position) Sphericity Assumed
Greenhouse-Geisser
Huynh-Feldt
Lower-bound
a. Computed using alpha = .05
Tests of Between-Subjects Effects
Measure: MEASURE_1
Transformed Variable: Average
Source Type III Sum of Squares df Mean Square F Sig. Partial Eta Squared
Intercept 966.300 1 966.300 4956.933 .000 .973
Error 26.707 137 .195
Tests of Between-Subjects Effects
Measure: MEASURE_1
Transformed Variable: Average
Source Noncent. Parameter Observed Power
Intercept 4956.933 1.000
Error
a. Computed using alpha = .05
Estimated Marginal Means
Frequency * position
Measure: MEASURE_1
Frequency position Mean Std. Error 95% Confidence Interval
Lower Bound Upper Bound
1 1 .937 .006 .926 .948
2 .869 .009 .850 .887
3 .807 .012 .783 .832
4 .758 .013 .732 .785
5 .734 .014 .707 .761
6 .781 .012 .758 .804
2 1 .896 .008 .880 .912
2 .789 .013 .764 .814
3 .700 .017 .667 .734
4 .628 .017 .594 .661
5 .597 .016 .564 .629
6 .670 .014 .642 .699
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Do not cut and paste this figure into your assignment. Draw your own in Excel. (See the “short guide to lab report writing” document on moodle for instructions). You can get standard errors from the last table above.
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