Not exact matches
The marine biologists built a structural
equation model to
examine the association between different variables all at once.
In order to
examine the direct and indirect effect of parents» perceptions of teachers» willingness to use WSS and other factors on parents» overall satisfaction, structural
equation modeling was used.
John Bogle's modified version of the Gordon
Equation (or the Dividend Discount
Model) is that the total return from stocks equals the investment return plus the speculative return, where Investment Return = Dividend Yield + Earnings Growth Rate and Speculative Return = the change in the price to earnings ratio over the period
examined.
This paper
examines the nexus between CO2 emissions, energy consumption and economic growth using simultaneous -
equations models with panel data of 14 MENA countries over the period 1990 - 2011.
OBJECTIVES: The main purpose of this cross-sectional study on the fear of the crisis has been to
examine its impact on mental health through the use of structural
equation modeling.
Four putative mediating variables were
examined simultaneously in a multiple mediation
model using structural
equation modelling.
This paper illustrates a method for operationalizing affect dynamics using a multilevel stochastic differential
equation (SDE)
model, and
examines how those dynamics differ with age and trait - level tendencies to deploy emotion regulation strategies (reappraisal and suppression).
In order to explore and identify the structural and causal relationship among the variables, Structural
Equation Modeling (SEM) was performed to
examine how the data fits a hypothetical
model for romantic inclination and romantic relationship status (love status) as outcomes, involving the selected predictor variables.
Coffey, Hartman, and Fredrickson (2010) used structural
equation modeling to
examine a number of possible mediators of the relations between two facets of mindfulness, attention and acceptance, and the dependent variables of flourishing and psychological well - being.
To
examine the independent contribution of program participation on program outcomes (parenting stress, parenting behaviors, and mental health), in all analyses separate regression
models were constructed in which mothers» age and baseline measures of mental health were introduced into the regression
equation first.
Such an approach is ideal for
examining mediation
models that include repeated measures, and given that the
model is estimated in a single
equation, one can directly estimate the covariance of the random effects that are encompassed in different Level 1 and Level 2
models.
With the aid of structural
equation modeling (SEM), the
model examines the physical health, cognitive ability, motor co-ordination, and emotional competence of around 2,000 children aged four to 6 years in poor rural communities in Mexico.
Structural
Equation Modeling (SEM) method was used to
examine the fitness of the theoretical
model to the empirical data.
TY - JOUR AU - 임미옥 AU - Kim Chung - Song AU - Song, MinKyoung TI - A Study of Anger, Social Support, and Psychological Maladaptation Based on Traits of Adolescents T2 - Korean Journal of Health Psychology PY - 2012 VL - 17 IS - 2 PB - Korean Health Psychological Association SP - 501 - 523 SN - 1229 - 070X AB - This study
examined the role of traits and social support in the relation between anger and maladaptation of adolescents through
model specification of structural
equation.
Moreover, although integrative
models were tested by using structural -
equation modelling or hierarchical regressions to demonstrate the predictive effect of positive youth development on problem behaviour (Jessor et al. 2003; Lent et al. 2005), these cross-sectional studies did not
examine the reverse predictive effect of problem behaviour on positive youth development.
This study
examined the role of traits and social support in the relation between anger and maladaptation of adolescents through
model specification of structural
equation.
Examining social - cognitive determinants of intention and physical activity in adolescent girls using structural
equation modeling
A series of generalized estimating
equation (GEE)
models were used to
examine proposed relations.
To
examine the cross-effects between adolescents» perceptions of the quality of their relationships with parents and friends over time, we conducted path analyses with cross-lagged effects by means of structural
equation modeling.
The structural
equation model was
examined from 229 college students.
The association between timing of menarche and depressive symptoms at 10.5, 13 and 14 years was
examined within a structural
equation model.
Associations between CEBQ subscales Food approach and Food avoidance and CFQ factors Restriction, Pressure to eat and Monitoring were
examined with structural
equation modelling (SEM), adjusting for child and parental characteristics, and parental confidence, measured with the Lifestyle Behavior Checklist (LBC).
Structural
equation modeling was conducted to evaluate the association between IPV victimization and posttraumatic stress and depressive symptoms and to
examine IPV exposure and psychiatric outcomes by levels of attachment insecurity.
Structural
equation modeling was used to
examine the effects of cultural factors (ethnic identity, perceived discrimination), family relations, and child problem type on mental health service utilization in a community sample of 1,480 adolescent girls (860 African American, 620 European American) between ages 15 and 17 years enrolled in the Pittsburgh Girls Study.