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Perception of specific military skills – the impact of perfectionism and self-efficacy

Helga Myrseth
Helga Myrseth
, 
Sigurd William Hystad
Sigurd William Hystad
, 
Reidar Säfvenbom
Reidar Säfvenbom
 et 
Olav Kjellevold Olsen
Olav Kjellevold Olsen
   | 04 août 2018
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Article Category: Research Article
Publié en ligne: 04 août 2018
Pages: 34 - 48
Reçu: 06 juil. 2017
Accepté: 11 mai 2018
DOI: https://doi.org/10.2478/jms-2018-0002
Mots clés
© 2020 Myrseth et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1

Diagram of the proposed LGCM with time-invariant and time-varying covariates. The four waves of military skill measurements include ICC, CDS, and MA. Time-invariant predictors are self-oriented and socially prescribed perfectionism. Time-varying predictors are self-efficacy measured at each time point.
Diagram of the proposed LGCM with time-invariant and time-varying covariates. The four waves of military skill measurements include ICC, CDS, and MA. Time-invariant predictors are self-oriented and socially prescribed perfectionism. Time-varying predictors are self-efficacy measured at each time point.

Unconditional growth models of specific military skills.

Unconditional growth model
Variables Point estimate (SE) 95% CI
LL UL
lCC
 Fixed part
  Latent intercept 25.48 (0.19) 25.11 25.84
  Latent slope 0.80 (0.07) 0.65 0.94
 Random part
  σ2 intercept 7.91 (0.95) 6.25 10.01
  σ2 slope 0.49 (0.18) 0.24 1.01
  σ I – S (correlation) –0.59 (0.35) –1.28 0.09
(–0.30)
CDS
 Fixed part
  Latent intercept 25.74 (0.17) 25.40 26.07
  Latent slope 0.46 (0.08) 0.31 0.61
 Random part
  σ2 intercept 5.64 (0.84) 4.20 7.56
  σ2 slope 0.45 (0.17) 0.21 0.96
  σ I – S (correlation) –0.42 (0.32) –1.05 0.21
(–0.26)
MA
 Fixed part
  Latent intercept 12.93 (0.12) 12.69 13.17
  Latent slope 0.03 (0.05) –0.06 0.13
 Random part
  σ2 intercept 3.157 (0.40) 2.467 4.04
  σ2 slope 0.12 (0.07) 0.04 0.37
  σ I – S (correlation) –0.10 (0.14) –0.38 0.18
(–0.16)

Perfectionism as a predictor of the latent intercept and slope.

Regressions Point estimate (SE) 95% CI
LL UL
X → I
 ICC
  Perfectionism: socially prescribed –0.94 0.30 –1.53 –0.34
  Perfectionism: self-oriented 0.62 0.26 0.13 1.14
  R2 0.05
 CDS
  Perfectionism: socially prescribed –1.35 0.26 –1.85 –0.83
  Perfectionism: self-oriented 0.46 0.23 0.02 0.90
  R2 0.12
 MA
  Perfectionism: socially prescribed –0.10 0.20 –0.49 0.29
  Perfectionism: self-oriented 0.14 0.17 –0.19 0.46
  R2 0.004
X→ S
 ICC
  Perfectionism: socially prescribed -0.00 0.12 -0.23 0.23
  Perfectionism: self-oriented 0.17 0.11 -0.03 0.38
  R2 0.03
 CDS
  Perfectionism: socially prescribed 0.16 0.12 -0.08 0.40
  Perfectionism: self-oriented 0.07 0.11 -0.15 0.29
  R2 0.03
 MA
  Perfectionism: socially prescribed –0.01 0.08 –0.15 0.14
  Perfectionism: self-oriented 0.03 0.07 –0.10 0.17
  R2 0.01

Confirmatory factor analyses of specific military skills, self-efficacy and perfectionism.

90% CI
Variables χ2 df P χ2/df CFI RMSEA
LL UL
Specific military skills
 Time 1 284.396 117 <0.001 2.4 0.89 0.070 0.060 0.081
 Time 2 320.053 117 <0.001 2.7 0.86 0.084 0.073 0.095
 Time 3 276.700 117 <0.001 2.4 0.84 0.090 0.077 0.104
 Time 4 231.126 117 <0.001 1.9 0.88 0.078 0.063 0.093
Self-efficacy
 Time 1 13.176 2 0.001 6.59 0.98 0.138 0.074 0.212
 Time 2 8.477 2 <0.001 4.24 0.98 0.115 0.043 0.199
 Time 3 1.775 2 0.41 0.89 1 0.000 0.000 0.148
 Time 4 3.345 2 0.19 1.67 0.99 0.065 0.000 0.182
Perfectionism 1,066.934 376 <0.001 2.84 0.72 0.079 0.074 0.085

Measures of model fit.

90% CI
Models χ2 df p CFI RMSEA
LL UL
ICC model 1 6.735 5 0.241 0.995 0.034 0.000 0.092
ICC model 2 10.637 9 0.301 0.995 0.024 0.000 0.071
ICC model 3 23.004 21 0.344 0.995 0.018 0.000 0.053
CDS model 1 1.743 5 0.883 1 0.000 0.000 0.039
CDS model 2 4.289 9 0.891 1 0.000 0.000 0.029
CDS model 3 23.469 21 0.319 0.990 0.020 0.000 0.054
MA model 1 5.581 5 0.249 0.998 0.019 0.000 0.084
MA model 2 12.620 9 0.397 .998 0.013 0.000 0.060
MA model 3 24.239 21 0.282 0.990 0.022 0.000 0.055

Self-efficacy as a time-varying predictor of specific military skills.

X → Y n Point estimate (SE) 95% Cl R2
LL UL
ICC
 Self-efficacy (t0) 286 0.74 0.18 0.40 1.09 0.77
 Self-efficacy (t1) 235 0.77 0.13 0.51 1.03 0.63
 Self-efficacy (t2) 162 0.75 0.14 0.49 1.02 0.68
 Self-efficacy (t3) 159 0.73 0.19 0.36 1.10 0.84
CDS
 Self-efficacy (t0) 286 0.62 0.18 0.27 0.97 0.69
 Self-efficacy (t1) 235 0.51 0.13 0.25 0.77 0.49
 Self-efficacy (t2) 162 0.40 0.15 0.11 0.69 0.61
 Self-efficacy (t3) 159 0.28 0.21 -0.14 0.70 0.71
MA
 Self-efficacy (t0) 286 0.35 0.11 0.14 0.56 0.72
 Self-efficacy (t1) 235 0.31 0.08 0.15 0.47 0.68
 Self-efficacy (t2) 162 0.27 0.09 0.08 0.45 0.68
 Self-efficacy (t3) 159 0.24 0.13 -0.02 0.49 0.78
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