Preliminary results
ANOVA for the Manipulation Checks (all the four conditions)
Autonomy frustration condition
values ind
1 3.79 Low aut
2 4.08 Low rel
3 4.00 Low comp
4 4.62 All sat Df Sum Sq Mean Sq F value Pr(>F)
cond1 3 14.57 4.855 4.227 0.00667 **
Residuals 152 174.58 1.149
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
66 observations deleted due to missingness Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = auts ~ cond1, data = dfn)
$cond1
diff lwr upr p adj
Low rel-Low aut 0.288 -0.332 0.91 0.62
Low comp-Low aut 0.209 -0.411 0.83 0.82
All sat-Low aut 0.831 0.207 1.46 0.00
Low comp-Low rel -0.079 -0.718 0.56 0.99
All sat-Low rel 0.543 -0.100 1.19 0.13
All sat-Low comp 0.622 -0.021 1.26 0.06 eta.sq eta.sq.part
cond1 0.08 0.08
Competence frustration condition
values ind
1 3.91 Low aut
2 4.32 Low rel
3 3.42 Low comp
4 5.03 All sat Df Sum Sq Mean Sq F value Pr(>F)
cond1 3 52.94 17.648 11.84 5.13e-07 ***
Residuals 153 228.08 1.491
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
65 observations deleted due to missingness Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = coms ~ cond1, data = dfn)
$cond1
diff lwr upr p adj
Low rel-Low aut 0.41 -0.297 1.11 0.44
Low comp-Low aut -0.49 -1.192 0.22 0.28
All sat-Low aut 1.12 0.413 1.83 0.00
Low comp-Low rel -0.89 -1.622 -0.17 0.01
All sat-Low rel 0.71 -0.017 1.44 0.06
All sat-Low comp 1.61 0.878 2.33 0.00 eta.sq eta.sq.part
cond1 0.2 0.2
Relatedness frustration condition
values ind
1 3.91 Low aut
2 4.32 Low rel
3 3.42 Low comp
4 5.03 All sat Df Sum Sq Mean Sq F value Pr(>F)
cond1 3 27.91 9.303 8.656 2.46e-05 ***
Residuals 150 161.21 1.075
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
68 observations deleted due to missingness Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = rels ~ cond1, data = dfn)
$cond1
diff lwr upr p adj
Low rel-Low aut -0.85 -1.46 -0.24 0.00
Low comp-Low aut -0.44 -1.04 0.16 0.24
All sat-Low aut 0.30 -0.31 0.90 0.58
Low comp-Low rel 0.41 -0.21 1.04 0.32
All sat-Low rel 1.14 0.51 1.78 0.00
All sat-Low comp 0.73 0.11 1.35 0.01 eta.sq eta.sq.part
cond1 0.1 0.1
ANOVA for the Manipulation Checks (only the three frustration conditions)
Autonomy frustration condition
values ind
1 3.79 Low aut
2 4.08 Low rel
3 4.00 Low comp Df Sum Sq Mean Sq F value Pr(>F)
cond2 2 1.82 0.909 0.733 0.483
Residuals 116 143.88 1.240
103 observations deleted due to missingness Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = auts ~ cond2, data = dfn)
$cond2
diff lwr upr p adj
Low rel-Low aut 0.288 -0.30 0.88 0.48
Low comp-Low aut 0.209 -0.38 0.80 0.68
Low comp-Low rel -0.079 -0.69 0.53 0.95 eta.sq eta.sq.part
cond2 0.01 0.01
Competence satisfaction
values ind
1 3.91 Low aut
2 4.32 Low rel
3 3.42 Low comp Df Sum Sq Mean Sq F value Pr(>F)
cond2 2 15.25 7.626 4.443 0.0138 *
Residuals 116 199.10 1.716
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
103 observations deleted due to missingness Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = coms ~ cond2, data = dfn)
$cond2
diff lwr upr p adj
Low rel-Low aut 0.41 -0.28 1.10 0.34
Low comp-Low aut -0.49 -1.18 0.21 0.22
Low comp-Low rel -0.89 -1.61 -0.18 0.01 eta.sq eta.sq.part
cond2 0.07 0.07
Relatedness satisfaction
values ind
1 3.91 Low aut
2 4.32 Low rel
3 3.42 Low comp Df Sum Sq Mean Sq F value Pr(>F)
cond2 2 14.2 7.100 7.167 0.00117 **
Residuals 114 112.9 0.991
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
105 observations deleted due to missingness Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = rels ~ cond2, data = dfn)
$cond2
diff lwr upr p adj
Low rel-Low aut -0.85 -1.38 -0.316 0.00
Low comp-Low aut -0.44 -0.96 0.091 0.13
Low comp-Low rel 0.41 -0.14 0.963 0.18 eta.sq eta.sq.part
cond2 0.1 0.1
