In a three-year bachelor's degree programme in military studies, the Norwegian Military Academy (NMA) aims to educate and develop highly skilled military officers so that they are able to cope with difficult and dangerous situations and execute leadership under extreme conditions. According to Cornum et al. (2011, p. 4), ‘modern warfare is characterised by demanding missions, extreme climates, sleep deprivation, cultural dissonance, physical fatigue, prolonged separation from family, and the ever-present threat of serious bodily injury or death’. One of the main challenges of military leadership is to be willing and able to make decisions that may result in the taking of lives and risking those of oneself and one's comrades in military operations. The Norwegian Chief of Defence states that military leadership is about doing those things that are uncomfortable and being able to cope with them, overcoming powerlessness, and avoiding emotional breakdown. Military leadership requires a certain degree of robustness that would facilitate clear and effective thinking and that would permit officers to cope with their feelings when facing complex and difficult situations (Forsvaret 2012).
What personal qualities characterise army cadets who succeed in their education and training to become military leaders well-suited for these demanding challenges?
Three different predictors are often examined in the studies of factors predicting academic achievement in undergraduate and graduate programmes: high-school grade point average (GPA; e.g. Allensworth and Clark 2020; Hiss and Franks 2014; Hodara and Cox 2016; Hodara and Lewis 2017; Wagerman and Funder 2007), general mental ability (GMA; e.g. Duckworth et al. 2019; Kobrin et al. 2008; Køber et al. 2017; Lounsbury et al. 2003; Roth et al. 2015; Schmidt and Hunter 1998; Strenze 2007) and Big Five personality traits – particularly conscientiousness (e.g. Chamorro-Premuzic and Furnham 2003; Conard 2006; Farsides and Woodfield 2003; Komarraju et al. 2009; Lounsbury et al. 2003; Poropat 2009).
This article will address two of these common predictors – GPA and GMA – and suggest another set of predictors that can be relevant for academic achievement, and particularly in military settings. Since the early 2000s, a growing number of studies indicate that certain character traits (e.g. character strengths, grit, hardiness, self-discipline and self-control) can also function as important predictors of both academic achievement and job performance (e.g. Duckworth and Seligman 2005; Harzer and Ruch 2014; Harzer et al. 2021; Lounsbury et al. 2009). Harzer et al. (2021) found, for example, that ‘perseverance, teamwork and leadership seemed to be especially relevant for numerous dimensions of job performance’, and that these three character strengths explained a substantial amount of variance in job performance even after controlling for GMA and personality. Lounsbury et al. (2009) found positive and significant correlations between college academic performance (AP) on the one hand, and Persistence, Open-Mindedness, Love of Learning, Self-Regulation and Prudence on the other.
Character strengths are suggested to be particularly relevant for performance in military settings, which often requires
Character strengths can be defined as ‘positively valued trait-like individual differences with demonstrable generality across different situations and stability across time that manifest in the range of individuals’ thoughts, feelings, and behaviors’ (Harzer and Ruch 2014, p. 184). They are recognised and valued across cultures and religious traditions as morally valued behaviour patterns (Peterson and Seligman 2004).
There seems to be a lack of empirical studies examining the relationship between character strengths and cadet performance (academic and military) in military academies. One exception is the study by Cosentino and Castro Solano (2012), which found a positive association between a set of character strengths and AP or MP among cadets in the Argentinean military (Persistence, Leadership, Love of Learning, Perspective and Creativity), and a negative relationship for other character strengths (e.g. Teamwork and Fairness). Albeit significant, the correlations were in the low end of the scale, with no correlations higher that of
The main purpose of this article is to examine to what extent certain character strengths predict MP and AP among army cadets in their bachelor's degree programme, and whether character strengths are better predictors compared to GPA and GMA.
Building on Peterson and Seligman's (2004) classification of 6 virtues and 24 character strengths (see Table 1), previous studies have suggested 12 character strengths as particularly important for succeeding as a military officer, and thus these are to be further developed in army cadets during their bachelor's degree programme (Boe 2016; Boe and Bang 2017; Boe et al. 2015a; Boe et al. 2015b). In 4 different studies, 173 experienced military officers were asked to rate each of Peterson and Seligman's 24 character strengths on a 5-point scale, ranging from 1
Overview of Peterson and Seligman's (2004) classification of virtues and character strengths.
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Since the set of character strengths selected for this study were identified to be particularly important for success as a military officer, we would argue that these 12 character strengths define the ‘ideal military character’. Hence, we suggest that army cadets’ average scores on an aggregate of these 12 character strengths are strongly associated with their AP and MP, and that the score of average character strengths shows incremental validity beyond GMA and GPA.
We test the following three hypotheses in this study:
The study used data from two consecutive cohorts of army cadets from the three-year bachelor's degree programme at the NMA: one cohort of army cadets graduated in 2016, and the other graduated in 2017. The total sample consisted of 123 army cadets (112 male and 11 female), with an average age of 26 years (range 22–35 years) at graduation.
The predictor variables were measured at different points in time (see Figure 1 for a timeline of the different measures). Data on high school GPA and GMA were measured and collected prior to the cadets’ attendance at the NMA. Data on character strengths were measured for 22 months into the three-year bachelor's degree programme.
Fig. 1
Timeline for Collection of Data on Predictor and Criterion Variables.

In this study, we were particularly interested in measuring the character strengths cadets displayed in an extreme setting, assuming cadets might not be aware which character strengths they actually possessed until confronted physically and psychologically with an extreme situation. One year before graduation, cadets attended a nearly two-week long, highly stressful combat fatigue course consisting of hard physical and psychological stress, sleep deprivation and inadequate amounts of food. Data were collected on cadets’ character strengths immediately after attending this combat fatigue course.
Previous studies have indicated that character strengths displayed in extreme settings are measured most reliably and validly through observer evaluation. These observations should be made close in time to a live setting where cadets are exposed to situations requiring a range of different character strengths (Bang et al. 2015; Bang et al. 2016, 2019). In this study, each of the army cadets’ character strengths was rated by 7–9 peers from their own squad. Ratings were done with an observational instrument – OBSCIF (OBServation of Character In the Field) – developed at the NMA especially for evaluating character strengths
We created a Military Average Character Strengths-score (MACS-score) consisting of an average score of the 12 character strengths, based on the assumption that they can be seen as
MP and AP served as criterion variables in the study. MP was evaluated by two supervisors. Each squad, consisting of 8–10 army cadets, had 2 supervisors following them 24/7 during the combat fatigue course. The supervisors rated each of the cadets for MP on a scale ranging from 5 to 1 (5 =
AP was measured by averaging each cadet's grades from the graded courses and academic activities (Basic officer competence, Leadership of complex operations, Suitability as military leader and Bachelor's thesis) during their three-year bachelor's degree programme.
Data were analysed with IBM SPSS Statistics (Version 26). We calculated bivariate correlations to examine the predictive validity of GPA, GMA and character strengths on AP and MP. We used hierarchical multiple regression analysis to estimate to what extent a composite-score of ‘the ideal military character’ (MACS) showed incremental validity beyond GMA and GPA in predicting MP and AP. GPA was entered at step 1, GMA at step 2, while the MACS-score was entered at step 3 of the analysis.
Table 2 presents descriptive statistics for the variables in the study, as well as reliability estimates (Cronbach's alpha for OBSCIF) and measures of interrater agreement:
Means, standard deviations, Cronbach's
GPA | 4.18 | 0.50 | |||
GMA | 6.19 | 1.23 | |||
Perspective | 3.52 | 0.53 | 0.77 | 0.77 | 0.85 |
Open-mindedness | 3.51 | 0.39 | 0.74 | 0.77 | 0.73 |
Creativity | 3.44 | 0.37 | 0.76 | 0.79 | 0.73 |
Love of learning | 3.62 | 0.41 | 0.81 | 0.71 | 0.69 |
Leadership | 3.49 | 0.55 | 0.76 | 0.78 | 0.87 |
Teamwork | 3.90 | 0.47 | 0.84 | 0.75 | 0.80 |
Fairness | 3.71 | 0.40 | 0.79 | 0.69 | 0.64 |
Integrity | 3.87 | 0.46 | 0.79 | 0.75 | 0.78 |
Bravery | 3.73 | 0.45 | 0.61 | 0.74 | 0.77 |
Persistence | 3.88 | 0.55 | 0.87 | 0.74 | 0.84 |
Self-regulation | 3.60 | 0.50 | 0.79 | 0.76 | 0.83 |
Social intelligence | 3.61 | 0.41 | 0.78 | 0.75 | 0.74 |
MACS | 3.66 | 0.36 | |||
MP | 3.51 | 0.93 | 0.97 | 0.85 | |
AP | 4.29 | 0.66 |
The reliability estimates for the scores on OBSCIF were acceptable, ranging from α = 0.87 for Persistence, to α = 0.61 for Bravery. Agreement among peer-raters was strong to moderate (LeBreton and Senter 2008), with
Table 3 shows the bivariate correlations between all variables in the study. As expected, GPA and GMA correlated positively (
Bivariate correlations between variables in the study.
AP | – | |||||||||||||||
MP | 0.52** | – | ||||||||||||||
GPA | 0.32** | 0.14 | – | |||||||||||||
GMA | 0.06 | -0.10 | 0.25** | – | ||||||||||||
Leadership | 0.52** | 0.63** | 0.08 | 0.02 | – | |||||||||||
Integrity | 0.40** | 0.46** | 0.03 | 0.15 | 0.82** | – | ||||||||||
Persistence | 0.30** | 0.65** | 0.21* | 0.15 | 0.59** | 0.45** | – | |||||||||
Fairness | 0.18 | 0.27** | 0.04 | 0.15 | 0.25** | 0.17 | 0.54** | – | ||||||||
Bravery | 0.36** | 0.50** | 0.03 | 0.17 | 0.78** | 0.84** | 0.58** | 0.20* | – | |||||||
Open-mindedness | 0.43** | 0.32** | -0.05 | 0.21* | 0.48** | 0.45** | 0.33** | 0.47** | 0.41** | – | ||||||
Social intelligence | 0.25** | 0.31** | -0.11 | 0.06 | 0.56** | 0.37** | 0.42** | 0.61** | 0.31** | 0.63** | – | |||||
Teamwork | 0.28** | 0.59** | 0.07 | 0.16 | 0.62** | 0.48** | 0.86** | 0.66** | 0.52** | 0.45** | 0.65** | – | ||||
Self-regulation | 0.42** | 0.58** | 0.07 | 0.11 | 0.74** | 0.73** | 0.69** | 0.37** | 0.78** | 0.57** | 0.45** | 0.64** | – | |||
Perspective | 0.58** | 0.58** | 0.02 | 0.04 | 0.82** | 0.77** | 0.54** | 0.28** | 0.79** | 0.63** | 0.47** | 0.56** | 0.87** | – | ||
Creativity | 0.45** | 0.50** | -0.01 | 0.08 | 0.74** | 0.67** | 0.54** | 0.48** | 0.68** | 0.68** | 0.66** | 0.59** | 0.70** | 0.77** | – | |
Love of learning | 0.44** | 0.50** | 0.13 | 0.16 | 0.58** | 0.46** | 0.60** | 0.54** | 0.48** | 0.61** | 0.58** | 0.65** | 0.49** | 0.54** | 0.70** | – |
Correlation is significant at the.01 level (2-tailed).
Correlation is significant at the.05 level (2-tailed).
We first examined to what extent GPA and GMA predicted the cadets’ AP and MP. As shown in Table 3, GPA correlated
Concerning GMA, the selection criterion was a minimum score of 5 on the Stanine scale used for measuring GMA. The GMA-score for all the applicants to the programme (
When using Thorndike's Case II method for correcting for range restriction (Thorndike 1949; Wiberg and Sundström 2009) in GPA and GMA, the corrected correlations between GMA and AP/MP remained the same as the uncorrected correlations, due to the nearly identical standard deviations for the population and the sample. The corrected correlations between GPA and performance increased from
Hypothesis 2, stating that the 12 character strengths would be positively associated with both MP and AP, was mostly supported. Table 3 shows that all 12 character strengths correlated positively and significantly with MP (
Hypothesis 3 stated that an average score of all 12 the character strengths (MACS-score) would show incremental validity beyond GMA and GPA in predicting AP and MP. To test this hypothesis, we conducted two hierarchical regressions with AP and MP as outcome variables. In step 1, only high-school GPA was entered. In step 2, GMA was added, and finally, MACS was added in step 3.
As shown in Tables 4 and 5, MACS showed incremental validity beyond GPA and GMA as a predictor for both types of performance. GPA and GMA explained 4% of the variance in MP, while MACS added 44% explained variance. GPA and GMA explained 10% of the variance in AP, while adding MACS increased explained variance by 24%. Hence, Hypothesis 3 was supported. Figures 2 and 3 show scatter plots of the relationships of MACS with MP and AP, respectively.
Fig. 2
Scatterplot of the relationship between MACS and MP. MACS, Military Average Character Strengths; MP, Military performance.

Fig. 3
Scatterplot of the relationship between MACS and AP. MACS, Military Average Character Strengths; AP, Academic performance.

Hierarchical regression with MP as dependent variable.
1 | 0.14a | 0.02 | 0.01 | 0.92 | 0.02 | 2.1 | 1 | 103 | 0.15 |
2 | 0.20b | 0.04 | 0.02 | 0.92 | 0.02 | 1.9 | 1 | 102 | 0.17 |
3 | 0.69c | 0.48 | 0.47 | 0.68 | 0.44 | 86.4 | 1 | 101 | 0.00 |
Predictors: (Constant), GPA
Predictors: (Constant), GPA, GMA
Predictors: (Constant), GPA, GMA, MACS
Hierarchical regression with AP as dependent variable.
1 | 0.32a | 0.10 | 0.10 | 0.63 | 0.10 | 11.9 | 1 | 103 | 0.00 |
2 | 0.32b | 0.10 | 0.09 | 0.63 | 0.00 | 0.1 | 1 | 102 | 0.80 |
3 | 0.58c | 0.34 | 0.32 | 0.55 | 0.24 | 36.2 | 1 | 101 | 0.00 |
Predictors: (Constant), GPA
Predictors: (Constant), GPA, GMA
Predictors: (Constant), GPA, GMA, MACS
This study indicates that GPA predicts AP, but not MP, and further that character strengths predict both AP and MP among army cadets. Surprisingly, GMA predicted neither AP nor MP.
Eleven of the 12 character strengths (all except for Fairness) were positively and significantly associated with
Three studies lend support to our findings of a strong relationship between certain character strengths and MP. Park (2005) did a content analysis of citations accompanying the Medal of Honor given to 123 soldiers, sailors, or airmen since the First World War (see Matthews 2008). Parks found that Bravery was most frequently mentioned (100%), followed by Self-Regulation (80%), Persistence (67%), Leadership (49%), Teamwork (39%) and Creativity (18%).
Matthews et al. (2006) examined the role of character strengths of West Point cadets in basic training. Self-ratings of Peterson and Seligman's (2004) 24 character strengths were compared between cadets who were retained through basic training (
Gayton and Kehoe (2015b) found that applicants who passed selection into the Australian army's special forces had Teamwork, Integrity and Persistence among their top-ranked character strengths, significantly more often than those who did not pass the selection. All of the applicants who did not include any of those three strengths in their top ranks failed to complete the selection process.
The character strengths found as particularly important for MP in these three studies – Bravery, Persistence, Teamwork, Leadership, Integrity, Self-Regulation, and Creativity – were all strong predictors of MP in our study.
We found that an average score of the 12 character strengths (MACS) showed incremental validity beyond GPA and GMA, and added a substantial and significant amount of explained variance in both MP and AP after controlling for GPA and GMA. Since data on GPA and GMA were collected prior to the cadets’ attending the NMA, while data on character strengths was collected 22 months into the study programme, one should be careful when interpreting this finding. However, there are a couple of other studies indicating that character strengths might outperform other commonly used performance predictors, such as GMA and personality (e.g. Duckworth and Seligman 2005; Harzer et al. 2021), in predicting both job and academic achievement.
The present study makes three important theoretical contributions to the research field. The first is that researchers should consider including character strengths as one of the predictors when wanting to predict MP and AP among army cadets. The research on character strengths is still in its infancy, but there are an increasing number of empirical studies linking character strengths to both job and academic achievement (e.g. Gosnell et al. 2020; Harzer et al. 2021; Karris Bachik et al. 2020; Wagner et al. 2020). When studying performance in extreme settings where occasionally crucial decisions that might have fatal consequences, must be taken (e.g. the military, police force or fire brigades), there is growing evidence that character strength is particularly important.
The second contribution is the finding that the way character strengths are measured matters. Even though Connelly and Ones (2010) found robust evidence for the supremacy of other-ratings compared to self-ratings when measuring personality, most studies of personality related characteristics (like character strengths) rely on self-ratings. The present study indicates that observer ratings may represent a reliable and valid predictor of MP and AP. Future studies on the relationship between personality-related characteristics and different types of outcomes should therefore make more frequent use of observer-ratings instead of solely relying on self-reports.
The third theoretical contribution of this study is the design of an OBSCIF (Bang et al. 2016; Boe et al. 2016) – to evaluate 12 of Peterson and Seligman's (2004) 24 character strengths. Although OBSCIF was designed for measuring character strengths displayed during extreme situations in a military context, the items in OBSCIF are rather generically phrased to stay close to the original theoretical content of each of the 12 character strengths. Hence, OBSCIF can easily be applied to a range of different settings where observation of the 12 character strengths is useful.
We suggest three practical implications of our study. First, when recruiting and selecting cadets for military officer training, certain character strengths should be considered as selection criteria in addition to high school GPA. Second, military academies should design specific measures to enhance these character strengths during cadet training programmes. Character strengths are not fixed personality traits: they can be honed and developed (Peterson and Seligman 2004). A number of exercises and interventions have been designed to develop different character strengths (e.g. Niemiec 2018). Military academies could incorporate some of these interventions in their training programmes. The U.S. Army has already implemented a programme (‘The Comprehensive Soldier Fitness program’), based on research findings from positive psychology and character strengths, ‘to increase psychological strength, resilience and positive performance and to reduce the incidence of maladaptive responses’ among army soldiers (Cornum et al. 2011, p. 4).
Third, knowing which specific character strengths are important performance predictors can help military officers to enhance their skills, by making them aware of which character strengths they need to strengthen or develop to further progress as military leaders.
This study has a number of limitations that should be acknowledged. First, character strengths were measured closer in time to the measures of MP and AP, as compared to the time when data on GPA and GMA were collected. While GPA and GMA were measured prior to the army cadets’ attendance at the three-year bachelor's degree programme, character strengths of the cadets were measured 22 months into the programme, at the same time as their MP was measured, and 12 months prior to the final evaluation of their AP. This will probably increase the magnitude of the correlations between character strengths and the performance measures, compared to the correlations for GPA and GMA. Future studies should collect data on character strengths prior the cadets’ attendance at the military study programme (e.g. during the weeklong selection process for applicants to the programme).
Second, our data was based on responses from a relatively small sample of 123 army cadets, comprising mainly males. The cadets came from two different cohorts and attended the same military academy in Norway. Future studies should use a larger sample of cadets from more cohorts, preferably from different military academies (e.g. naval and air force cadets), from other countries, and with more gender-balanced samples, to examine the robustness and generalisability of our findings.
Third, although the 12 OBSCIF-scales had good reliability estimates, correlated significantly with the corresponding scales in VIA-IS (Values in Action Inventory of Strengths), and showed high levels of inter-rater agreement (Bang et al. 2015; Bang et al. 2016), one can question the discriminatory validity of the scales. The inter-correlations between the 12 peer-rated character strengths were rather high, with bivariate correlations ranging from
This study indicates that certain character strengths can serve as important predictors of cadets’ MP and AP during their bachelor's degree programme. 11 of the character strengths that were analysed in this study, namely Perspective, Leadership, Self-Regulation, Love of Learning, Creativity, Integrity, Bravery, Open-Mindedness, Persistence, Teamwork and Social Intelligence, were all positively and significantly related to both MP and AP among cadets. Further, we found that a combination of the 12 character strengths explained substantial additional variance beyond GPA and GMA in predicting both MP and AP among army cadets. The cadets’ GPA from high school served as a good predictor of AP, but not of MP. Surprisingly, GMA showed low correlations with the cadets’ performance, even after correcting for restriction of range. While we certainly need more studies to examine the robustness of our results, military academies should consider using these character strengths as one of the selection criteria when selecting cadets, and also aim to further develop these character strengths through their education programmes.
Fig. 1

Fig. 2

Fig. 3

Overview of Peterson and Seligman's (2004) classification of virtues and character strengths.
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Bivariate correlations between variables in the study.
AP | – | |||||||||||||||
MP | 0.52 |
– | ||||||||||||||
GPA | 0.32 |
0.14 | – | |||||||||||||
GMA | 0.06 | -0.10 | 0.25 |
– | ||||||||||||
Leadership | 0.52 |
0.63 |
0.08 | 0.02 | – | |||||||||||
Integrity | 0.40 |
0.46 |
0.03 | 0.15 | 0.82 |
– | ||||||||||
Persistence | 0.30 |
0.65 |
0.21 |
0.15 | 0.59 |
0.45 |
– | |||||||||
Fairness | 0.18 | 0.27 |
0.04 | 0.15 | 0.25 |
0.17 | 0.54 |
– | ||||||||
Bravery | 0.36 |
0.50 |
0.03 | 0.17 | 0.78 |
0.84 |
0.58 |
0.20 |
– | |||||||
Open-mindedness | 0.43 |
0.32 |
-0.05 | 0.21 |
0.48 |
0.45 |
0.33 |
0.47 |
0.41 |
– | ||||||
Social intelligence | 0.25 |
0.31 |
-0.11 | 0.06 | 0.56 |
0.37 |
0.42 |
0.61 |
0.31 |
0.63 |
– | |||||
Teamwork | 0.28 |
0.59 |
0.07 | 0.16 | 0.62 |
0.48 |
0.86 |
0.66 |
0.52 |
0.45 |
0.65 |
– | ||||
Self-regulation | 0.42 |
0.58 |
0.07 | 0.11 | 0.74 |
0.73 |
0.69 |
0.37 |
0.78 |
0.57 |
0.45 |
0.64 |
– | |||
Perspective | 0.58 |
0.58 |
0.02 | 0.04 | 0.82 |
0.77 |
0.54 |
0.28 |
0.79 |
0.63 |
0.47 |
0.56 |
0.87 |
– | ||
Creativity | 0.45 |
0.50 |
-0.01 | 0.08 | 0.74 |
0.67 |
0.54 |
0.48 |
0.68 |
0.68 |
0.66 |
0.59 |
0.70 |
0.77 |
– | |
Love of learning | 0.44 |
0.50 |
0.13 | 0.16 | 0.58 |
0.46 |
0.60 |
0.54 |
0.48 |
0.61 |
0.58 |
0.65 |
0.49 |
0.54 |
0.70 |
– |
Hierarchical regression with MP as dependent variable.
1 | 0.14 |
0.02 | 0.01 | 0.92 | 0.02 | 2.1 | 1 | 103 | 0.15 |
2 | 0.20 |
0.04 | 0.02 | 0.92 | 0.02 | 1.9 | 1 | 102 | 0.17 |
3 | 0.69 |
0.48 | 0.47 | 0.68 | 0.44 | 86.4 | 1 | 101 | 0.00 |
Hierarchical regression with AP as dependent variable.
1 | 0.32 |
0.10 | 0.10 | 0.63 | 0.10 | 11.9 | 1 | 103 | 0.00 |
2 | 0.32 |
0.10 | 0.09 | 0.63 | 0.00 | 0.1 | 1 | 102 | 0.80 |
3 | 0.58 |
0.34 | 0.32 | 0.55 | 0.24 | 36.2 | 1 | 101 | 0.00 |
j.jms-2021-0016.tab.007
j.jms-2021-0016.tab.006
Means, standard deviations, Cronbach's α, Rwg and ICC(2) for the variables.
GPA | 4.18 | 0.50 | |||
GMA | 6.19 | 1.23 | |||
Perspective | 3.52 | 0.53 | 0.77 | 0.77 | 0.85 |
Open-mindedness | 3.51 | 0.39 | 0.74 | 0.77 | 0.73 |
Creativity | 3.44 | 0.37 | 0.76 | 0.79 | 0.73 |
Love of learning | 3.62 | 0.41 | 0.81 | 0.71 | 0.69 |
Leadership | 3.49 | 0.55 | 0.76 | 0.78 | 0.87 |
Teamwork | 3.90 | 0.47 | 0.84 | 0.75 | 0.80 |
Fairness | 3.71 | 0.40 | 0.79 | 0.69 | 0.64 |
Integrity | 3.87 | 0.46 | 0.79 | 0.75 | 0.78 |
Bravery | 3.73 | 0.45 | 0.61 | 0.74 | 0.77 |
Persistence | 3.88 | 0.55 | 0.87 | 0.74 | 0.84 |
Self-regulation | 3.60 | 0.50 | 0.79 | 0.76 | 0.83 |
Social intelligence | 3.61 | 0.41 | 0.78 | 0.75 | 0.74 |
MACS | 3.66 | 0.36 | |||
MP | 3.51 | 0.93 | 0.97 | 0.85 | |
AP | 4.29 | 0.66 |
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