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. Author manuscript; available in PMC: 2015 Nov 2.
Published in final edited form as: Environ Sci Technol. 2012 Nov 5;46(22):12664–12671. doi: 10.1021/es303109c

Table 3.

Significance levels associated with statistically significant demographic variables from ANOVA after adjustment of the mean square error to account for an assumed design effect.

Analyte Age group
(in years)
Demographic
variable
in the final model
Prob Fa Adj Prob
F
(Deff=3.5)
Adj Prob
F
(Deff=10)
triclosan 3–5 Race 0.0489 0.34 0.66
triclosan 6–11 Race 0.0181 0.21 0.55
2,4-dichlorophenol 3–5 Race 0.0019 0.06 0.3
2,5-dichlorophenol 3–5 Race 0.0027 0.08 0.34
2,5-dichlorophenol 6–11 Race 0.0278 0.26 0.6
methyl paraben 6–11 Race 0.0256 0.41 0.72
propyl paraben 3–5 Race 0.0014 0.04 0.25
Propyl paraben 3–5 Sex 0.0023 0.05 0.2
a

ProbF is the observed significance level (p value) from ANOVA adjusted by the heterogeneity of variance assuming the measured pool values are independently identically distributed, which is unlikely since the original sample data were obtained from a stratified multistage probability design. Therefore, adjusted significance levels (Adj_ProbF) were also computed assuming a design effect (deff) equal to 3.5 or 10, chosen as a conservative estimate of how large the design effect might be based on NCHS’ recommendations.