Different evolution acceptance instruments lead to different research findings

Table 7 Summary of simple linear regressions exploring the independent effect of evolution understanding on evolution acceptance across evolution acceptance instruments

	Unstandardized coefficients		Standardized coefficients	t	Sig	Model statistics
	B	Std. error	Beta	t	Sig	R ²	F	Sig	DF
Effects of evolution understanding
On MATE	.029	.002	.449	13.676	< .0001	.20	187.04	.000	740
On Micro	.029	.002	.451	13.734	< .0001	.20	188.62	.000	740
On Macro	.021	.002	.334	9.641	< .0001	.11	92.94	.000	740
On Human	.023	.003	.320	9.198	< .0001	.10	84.60	.000	740
On GAENE	.015	.002	.227	6.340	< .0001	.05	40.20	.000	740
On 100-pt	.025	.004	.214	5.949	< .0001	.04	35.39	.000	740

Each row contains the results from a linear regression with scores from a different evolution acceptance instrument as the dependent variable, indicated by the row heading. Each coefficient statistic indicates the extent to which evolution understanding scores independently predicted evolution acceptance scores. Each adjusted R² value indicates the amount of variance in evolution acceptance scores that can be explained by evolution understanding scores alone

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