A one - way
analysis of variance indicated significant mean differences in egalitarianism between groups on the DTAS (p <.0001).
«
Analysis of variance indicated no significant effect of boron supplementation on any of the dependent variables.
Not exact matches
Statistical
analysis was carried out by
analysis of variance and Student's t test (two - tailed) as
indicated.
«Overall, results from the
analyses indicate that between approximately 24 per cent and 43 per cent
of the
variance in written composition was explained by the three language convention measures and that spelling was the main predictor
of written composition for each cohort.
To do this, we repeated the previous
analyses except we also entered the dummy code
indicating whether wives were using HCs at relationship formation to account for
variance in the intercept and current HC status slope estimates in the second level
of the model to create the current HC status × HC status at relationship formation interaction with the following equation (Eq.
Results: Regression
analyses indicated that the interaction between relationship strengths and family stress explained 45 %
of the
variance in psychological symptoms.
Doses
of drugs over the trial were converted to mean daily equivalents
of chlorpromazine and compared across groups by means
of Kruskal - Wallis one way
analysis of variance; this
indicated no significant differences between treatment groups (medians
of daily drugs in chlorpromazine equivalents: cognitive behaviour therapy 425, supportive counselling 517.75, routine care 450; χ = 0.963; P = 3D0.62).
In the current administration, the internal consistency
of the scale was 0.90 and as
indicated by a maximum likelihood exploratory factor
analysis with Varimax rotation, seven factors accounted for 47 %
of the sample
variance.
To address the second research question in Study 3, an exploratory factor
analyses with a maximum likelihood method with Varimax rotation
indicated 5 factors that accounted for 47 %
of the sample
variance.
Maximum likelihood exploratory factor
analysis from administration in this sample
indicated the items loaded on one factor, which accounted for 51 %
of the sample
variance.
Hierarchical regression
analyses indicated that gender (females were less likely to be employed), IQ (lower IQ associated with unemployment), and transportation dependence accounted for 42 %
of the
variance in employment.
An
analysis of variance demonstrated significant mean differences in egalitarianism between groups regarding reading and interpretation
of religious scripture (p <.006) with the largest difference, as
indicated by Tukeys HSD, between those who interpret scripture literally (least egalitarian), and those who do not read scripture at all (most egalitarian).
Exploratory factor
analysis (EFA)
indicated that the game addiction scale was unidimensional in both waves, explaining 43 %
of the
variance in wave 1, and 48 % in wave 2.
This
indicates that the effect sizes could not be treated as estimates
of one common effect size, and thus, moderator
analyses were performed to search for variables that can explain the
variance.
A factor
analysis using half
of the sample
indicated a 1 - factor solution that accounted for 55.18 %
of the total
variance.
Regression
analysis indicated that, taken together, diabetes - related family factors accounted for 34 %
of the
variance in metabolic control.
Factor
analysis of the 30 remaining items was then conducted; the scree plot
indicated a one - factor solution, having an eigenvalue
of 13.1 and accounting for 43.5 %
of the
variance.
Regression
analysis indicated that a combination
of diabetes specific measures
of family behavior accounted for 11.8 %
of the
variance in glycemic control after controlling for demographic variables.
Factor
analysis of the 12 items (Table I)
indicated a single - factor solution, with all items loading a single factor having an eigenvalue
of 6.2 (all other factors had an eigenvalue
of < 1.0), accounting for 51.3 %
of the
variance.