Sentence examples for combined dependent variables from inspiring English sources

Multivariate analyses of variance revealed that performance on the combined dependent variables was significantly associated with observer presence.

Also the interaction of Gender X Government policies; Wilks Lambda (Gender X Government policies) = .989, F value (5, 1.243) = 2.732, p value = .018 and Gender X LOC X Government policies; Wilks Lambda (Gender X LOC X Government policies) = .990, F value (5, 1.243) = 2.397, p value = .036 impacted significantly on combined dependent variables.

The three way MANOVA revealed that Locus of control; Wilks Lambda (LOC) = .959, F value (5, 1.243) = 10.572, p value = .000; and government policies Wilks Lambda (government policies) = .988, F value (5, 1.243) = 3.063, p value = .009; impacted significantly on the combined dependent variables of entrepreneurial intensity.

MANCOVA for the above groups was conducted to determine the relationship between cognitive function and carbohydrate and total potassium intake, as combined dependent variables.

Mindfulness did show a significant omnibus main effect on the combined dependent variables of aspects of quality of life (F [5,117] = 2.71, p = 0.02, η = 0.11).

When considering differential effects of disclosure to peers and adults, disclosure, time and an interaction were evident on the combined dependent variables (Table  2).

Multivariate analysis of variance revealed significant differences (p =.001) between SRH categories on the combined dependent variable.

After covarying/accounting for age and BMI, both physical activity level (Wilk's Lambda = 0.93) and PCOS status (Wilk's Lambda = 0.92) were significantly associated with the mental health of the participants (combined dependent variable of anxiety and depression).

MANCOVA (IQ as a covariate) on the three subtests indicated a statistically significant difference between the three groups on the combined dependent variable, F 3, 46) = 2.52, p = 0.03; partial Eta squared = 0.15).

The results of a 2 (service criticality: high or low) x2 (service type: personal or nonpersonal) x 2 (previous service experience: failure or nonfailure) x3 (service recovery: assistance only, compensation only, or assistance with compensation) between-subjects experimental design indicate significant main effects for each independent variable on the combined dependent measures.

Therefore, we present an intrinsic kinetics model, which is in the form of an autonomous first-order ordinary differential equation set, combining two dependent variables, i.e., the concentrations of ethylene and ozone.