Excerpts

In the RT analysis Test and Emotion interaction was statistically significant [ F (1,17) = 4.39, p = 0.05] as well as interaction of Age, Test, and Emotion close to significance [ F (1,17) = 4.16, p = 0.057].

As can be seen in Table 3 , for the OQ-45 total score, a marginally significant moderating effect of type of therapy was found ( B = 0.68, t = 1.96, 95% CI: −0.02;1.39, p = 0.057), where changes in entrapment were more predictive of changes in total distress scores in the crisis intervention psychotherapy group ( B = 1.30, p < 0.001) as compared to the short-term psychotherapy outpatient group ( B = 0.62, p = 0.054).

These correlations were positive and significant for songs directed to males [ r (11) = 0.626, p = 0.039; Figure 4 ] and positive and nearly significant for songs directed to females [ r (11) = 0.589, p = 0.057; Figure 4 ].

Fifth-graders demonstrated a marginally significant typical distance effect for digit-context positive number comparisons [mean = −5.94, t (15) = −2.063, p = 0.057], but not for negative numbers [mean = −2.42, t (15) = −1.044, p > 0.3].

Moreover, we detected that the group main effect was marginally significant ( F 1,36 = 3.85, P = 0.057).

At the first measurement point (MP1), only TRAIL-P performance showed a significant trend in predicting goal change in the unpredictable condition ( W = 3.64, p = 0.057) but no longer thereafter, nor in the predictable condition.

Also as expected, among participants high on national identification, we found a marginally significant interaction between self-esteem and mortality salience, β = −0.21, t (166) = −1.91, p = 0.057, 95% CI [−0.43, 0.01].

When looking at the values of the conditional effect of the focal predictor at values of each moderator, results showed that the p -values associated with the conditional effects of both Model 1b and Model 1c ( Figure 2 ) were higher and the established significance value and the 95% confidence interval included zero; in addition, a trend to a marginal significance was observed for revenge (i.e., p = 0.057) on the association between grandiose variant and cyberbullying behavior.

In linear regression analyses end had a significant effect on current mood ( b = 0.33, SE = 0.11, p = 0.004) and a marginally significant effect on recalled mood impacts ( b = 0.32, SE = 0.17, p = 0.057).

7 Similarly, a repeated measures ANOVA revealed a marginally significant interaction between media framing and the other participant’s nationality on the expected rate of outgroup preemptive strikes, F (1,125) = 3.69, p = 0.057, partial η 2 = 0.03; pairwise comparisons indicated that under both experimental conditions the expected rates of Chinese preemptive strikes (mo

The main effect of Target Type only approached significance [ F T (1,18) = 4.14, p = 0.057, η G 2 = 0.00024] whereas the effect of Retinal Size was not significant [ F R (1,18) = 0.51, p = 0.484] as well as the remaining interactions (all F ≤ 2.33; all p ≥ 0.144).

The analysis showed a marginally significant main effect of Valence, F (1, 189) = 3.649, p = 0.057, ηp 2 = 0.019, suggesting that participants took less time answering to negative side effects ( M = 6.952, SD = 5.964; log( M ) = 1.621, log( SD ) = 0.825) than to the positive ones ( M = 8.249, SD = 9.089; log( M ) = 1.753, log( SD ) = 0.836).

In addition, controls showed a trend for ( r = 0.36, p = 0.057) and patients showed a significant ( r = 0.48, p = 0.03) correlation between N1 and N cl CSD differences.

Physical aggression was predicted by higher observer and provocation sensitivity (marginally significant results for lower victim and perpetrator sensitivity, p = 0.057 and 0.063, respectively) in men and by higher observer, rejection, and provocation as well as by lower perpetrator and moral disgust sensitivity in women.

IPA in interaction with Time and Time 2 showed marginal significance with B = −1.13, t (58.2) = −1.94, p = 0.057 and B = 0.06, t (43.6) = 1.90, p = 0.098, respectively, indicating that higher IPA was related to a stronger linear decrease of SBP and a stronger quadratic response.

There was no significant interaction between Congruency and Letter String Type, although this interaction approached significance, F (1, 23) = 2.632, MSE = 830.390, p = 0.057.

While in the negative-different condition the difference between the Mandarin and English speakers’ response speed only approached significance (estimate = 289, SE = 147, t = 1.96, p = 0.057), the Mandarin speakers were significantly slower in the negative same condition than the English speakers (estimate = 328, SE = 108, t = 3.03, p = 0.004).

The No-Constraint Mismatch condition (7b) waveform average amplitude is more negative than (7a) [ t -test nearly significant difference t′ (23) = 1.989, p = 0.057].

There was a marginally significant effect for Mandarin vocabulary as a predictor of the trilinguals' Mandarin RC performance: χ 2 (1) = 3.09, p = 0.079 and a marginal significance for Cantonese vocabulary as a predictor of the trilinguals' Cantonese RC performance: Cantonese χ 2 (1) = 3.62, p = 0.057), showing that, unsurprisingly, children's RC comprehension in a language improved as their vocabulary scores in the target language increased.

The main effect of Position was marginally significant with the tendency of faster responses to lower targets than higher targets [ F (1,40) = 3.854, p = 0.057, η 2 = 0.088].

The main effect of Day was marginally significant in both languages: German words, F (1, 23) = 4.01, p = 0.057, η 2 p = 0.15; novel words, F (1, 23) = 3.17, p = 0.09, η 2 p = 0.12.

An ANOVA comparing N400 amplitude across between-language related pairs and unrelated prime-target pairs revealed a near-significant main effect of condition, F (1, 15) = 4.25, p = 0.057, η 2 p = 0.22.

We also observed a marginally significant interaction of expression and group F (10,225) = 1.83, p = .057, η p 2 = 0.08.

STRESS AMBIGUOUS WORDS There was a near-significant negative correlation between WM capacity and the proportion of final stress assigned ( r S = –0.321, p = 0.057), but no significant correlation between WM capacity and the proportion of APU stress assigned ( r S = 0.195, p = 0.254; see Figure 2 ).

The linear regression for educational toys was marginally significant, F (1,159) = 3.67, p = 0.057, because again, the higher the AQ, the less likely the selection of an educational toy, see Figure 4B .