Schoolwork Engagement and school burnout are both multi-facetted constructs consisting of multiple components, including emotional, affective and behavioral facets for engagement and exhaustion, cynicism and inadequacy for burnout. Although the desirable engagement and the undesirable burnout symptoms are negatively correlated, there are some individuals who report high levels of both engagement and burnout. Within-person analyses are needed to detect such engaged but burned out individuals, who are otherwise overlooked if common between-person correlations are examined.This study extends prior comparison of insights to be gained from between- versus within-person analyses. Based on the critique that multi-facetted constructs may be better represented in psychometric networks than latent factor measurement models (see Lange et al., 2020), we examined the relationships among and between the specific engagement and burnout facets with psychometric and residual network models and compared their insights to the common latent factor (CFA) approach. To account for the problem that within-person co-endorsements of engagement and burnout experiences may be overlooked with between-person correlations, we then compared the inter-individual correlation-based psychometric and residual networks to an intra-individual co-endorsement network.The present study shows how motivational research may benefit from utilizing and contrasting psychometric network models as they may help to examining specific facets of constructs and that the inferences and conclusions that are drawn might change in contrast to the use of conventional latent factor approaches.