Table 3.

Real-World Regression Model Results

Model		Estimate	SE	t or z	p
1a	Linear Regression (sample 1)
	Intercept	44.86	3.87	11.59	< .001
	Complex Reflections	0.65	0.18	3.58	< .001***
1b	Linear Regression (sample 2)
	Intercept	45.83	3.67	12.57	< .001
	Complex Reflections	0.56	0.16	3.45	< .001***
1c	Linear Regression (sample 3)
	Intercept	45.78	3.99	11.48	< .001
	Complex Reflections	0.58	0.20	2.89	.005**
2	Weighted Linear Regression
	Intercept	40.28	3.89	10.36	< .001
	Complex Reflections	0.80	0.18	4.48	< .001***
3	Weighted NB Regression
	Intercept	3.756	0.075	50.29	< .001
	Complex Reflections	0.015	0.004	4.04	< .001***
4	Weighted NB Regression, with offset
	Intercept	−1.3252	0.0521	−25.46	< .001
	Complex Reflections	−0.0005	0.0024	−0.19	.847
5	Weighted NB Regression, with offset and rate
	Intercept	−1.38	0.05	−25.46	< .001
	Complex Reflections (rate)	0.67	0.69	0.97	.333
6	Weighted NB regression with offset
	Intercept	−1.507	0.047	−32.69	< .001
	Complex Reflections of Change Talk	0.020	0.004	4.36	< .001***

Note. NB = negative binomial. t-values are presented for all linear regression models, z-values are presented for all negative binomial models.

^**p < .01,

^***p < .001 (not shown for intercept terms)