Table 9 Multiple regression analysis of... | Emerald Publishing

Table 9

Multiple regression analysis of effects of age, rank, memory and Refinding 2 (significant parameter estimates)

Parameter	B	Std. Error	T	95% confidence interval		Observed power
Parameter	B	Std. Error	T	Lower bound	Upper bound	Observed power
Age = 1	17.544	3.526	4.976	10.585	24.504	0.999
Age = 2	16.300	2.410	5.750	9.099	18.612	1.000
Rank = 4	5.744	2.855	2.012	0.110	11.379	0.516
Rank = 5	−4.000	1.267	−3.157	−6.501	−1.499	0.881
Age = 1 *Rank = 4	12.244	3.560	−3.439	−19.272	−5.217	0.928
Age = 2 *Rank = 3	1.856	2.687	−4.040	−16.160	−5.551	0.980
Age = 1 * Memory 1	9.056	2.676	3.384	3.773	14.338	0.920
Age = 2 * Memory 1	14.244	3.695	3.855	6.951	21.538	0.970
Rank = 3 *Gender = 1	8.556	2.988	2.863	2.658	14.453	0.813
Rank = 3 *Memory 1	3.556	1.504	2.364	0.587	6.524	0.652
Gender = 1*Memory 1	−6.444	1.950	−3.305	−10.293	−2.596	0.908

Parameter	B	Std. Error	T	95% confidence interval		Observed power
Parameter	B	Std. Error	T	Lower bound	Upper bound	Observed power
Age = 1	17.544	3.526	4.976	10.585	24.504	0.999
Age = 2	16.300	2.410	5.750	9.099	18.612	1.000
Rank = 4	5.744	2.855	2.012	0.110	11.379	0.516
Rank = 5	−4.000	1.267	−3.157	−6.501	−1.499	0.881
Age = 1 *Rank = 4	12.244	3.560	−3.439	−19.272	−5.217	0.928
Age = 2 *Rank = 3	1.856	2.687	−4.040	−16.160	−5.551	0.980
Age = 1 * Memory 1	9.056	2.676	3.384	3.773	14.338	0.920
Age = 2 * Memory 1	14.244	3.695	3.855	6.951	21.538	0.970
Rank = 3 *Gender = 1	8.556	2.988	2.863	2.658	14.453	0.813
Rank = 3 *Memory 1	3.556	1.504	2.364	0.587	6.524	0.652
Gender = 1*Memory 1	−6.444	1.950	−3.305	−10.293	−2.596	0.908