Table 5.

Summary of hierarchical regression analysis for variables predicting SI-R clutter (N = 532)

	Model 1					Model 2
Variable	B	SE B	β	t	p	B	SE B	β	t	p
DASS-dep	0.179	0.034	0.245	5.298	<.0001	0.176	0.033	0.241	5.299	<.0001
DASS-anx	0.130	0.039	0.157	3.315	.001	0.088	0.039	0.107	2.234	.026
SCI-mem	0.016	0.003	0.260	5.034	<.0001	0.014	0.003	0.231	4.369	<.0001
SCI-ctr	−0.006	0.004	−0.071	−1.617	.106	−0.005	0.003	−0.066	−1.496	.135
SCI-resp	0.010	0.003	0.207	3.768	<.0001	0.009	0.003	0.173	2.956	.003
RAQ-IOAS						0.007	0.002	0.206	3.761	<.0001
AQcurrent						0.073	0.029	0.095	2.519	.012
PAM						0.000	0.002	−0.007	−0.157	.875
PAI						−0.003	0.002	−0.083	−1.342	.180
PCS						0.000	0.001	−0.045	−0.644	.520
	R2 = .410, F(5, 526) = 73.17, p < .001					ΔR2 = .04, ΔF(5, 521) = 6.61, p < .001

Note. Significant unique contributors to the model are in bold. SE: standard error; DASS-dep: Log10-Transformed Depression subscale; DASS-anx: Log10-Transformed Anxiety subscale; SCI-mem: Memory subscale; SCI-ctr: Control subscale; SCI-resp: Responsibility subscale; RAQ-IOAS: Reciprocal Attachment Questionnaire – Adjusted Inanimate Object Attachment Security; AQcurrent: Log10-Transformed Anthropomorphism Questionnaire – Current subscale, PAM: Possessions as Memory Scale; PAI: Possessions as Identity Scale; PCS: Possessions Comfort Scale; SI-R Clutter: Log10-Transformed Saving Inventory – Revised Clutter subscale.