Results

Repeated Measures ANOVA

Within Subjects Effects
 Sphericity CorrectionSum of SquaresdfMean SquareFpη²p
shapeNone88.03244.0130.29< .0010.73
 Greenhouse-Geisser88.031.5556.6330.29< .0010.73
ResidualNone31.97221.45   
 Greenhouse-Geisser31.9717.101.87   
drawNone0.2210.220.360.5600.03
 Greenhouse-Geisser0.221.000.220.360.5600.03
ResidualNone6.78110.62   
 Greenhouse-Geisser6.7811.000.62   
shape ✻ drawNone137.86268.9325.22< .0010.70
 Greenhouse-Geisser137.861.9670.4225.22< .0010.70
ResidualNone60.14222.73   
 Greenhouse-Geisser60.1421.532.79   
Note. Type 3 Sums of Squares
[3]

 

Between Subjects Effects
 Sum of SquaresdfMean SquareFpη²p
Residual38.94113.54   
Note. Type 3 Sums of Squares

 

Assumptions

Tests of Sphericity
 Mauchly's WpGreenhouse-Geisser εHuynh-Feldt ε
shape0.710.1850.780.88
draw1.00NaN1.001.00
shape ✻ draw0.980.8960.981.00
ᵃ The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels

 

Post Hoc Tests

Post Hoc Comparisons - shape ✻ draw
Comparison
shapedraw shapedrawMean DifferenceSEdftptukey
cline-cdots3.670.5811.006.30< .001
  -tline0.580.4811.001.210.826
  -tdots0.330.5611.000.600.989
  -sline0.670.5811.001.150.852
  -sdots-2.420.4811.00-4.990.004
 dots-tline-3.080.5411.00-5.680.001
  -tdots-3.330.7411.00-4.490.009
  -sline-3.000.0011.00-Inf< .001
  -sdots-6.080.5411.00-11.20< .001
tline-tdots-0.250.6211.00-0.410.998
  -sline0.080.5411.000.151.000
  -sdots-3.00NaN11.00NaNNaN
 dots-sline0.330.7411.000.450.997
  -sdots-2.750.6211.00-4.460.009
sline-sdots-3.080.5411.00-5.680.001

 

[4]

Estimated Marginal Means

shape

Estimated Marginal Means - shape
95% Confidence Interval
shapeMeanSELowerUpper
c6.670.365.877.46
t8.040.197.638.46
s9.380.328.6710.08

 

[4]

References

[1] The jamovi project (2021). jamovi. (Version 1.8) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2021-04-01).

[3] Singmann, H. (2018). afex: Analysis of Factorial Experiments. [R package]. Retrieved from https://cran.r-project.org/package=afex.

[4] Lenth, R. (2020). emmeans: Estimated Marginal Means, aka Least-Squares Means. [R package]. Retrieved from https://cran.r-project.org/package=emmeans.