. 2015 Jul 26;71(6):959–967. doi: 10.1093/geronb/gbv042

Table 3.

Regression Analysis Predicting Percentage of Words in Linguistic Inquiry and Word Count (LIWC) Categories (Hypothesis 2)

	LIWC category: first-person singular		LIWC category: work		LIWC category: achievement		LIWC category: money		LIWC category: attractiveness		LIWC category: sexual		LIWC category: negative emotion
	B	SE	B	SE	B	SE	B	SE	B	SE	B	SE	B	SE
Variables
Intercept	8.96***	0.10	1.58***	0.06	1.85***	0.05	0.45***	0.03	0.35***	0.02	1.58***	0.05	0.80***	0.03
Age	−0.06***	0.00	−0.01***	0.00	−0.01***	0.00	0.00*	0.00	0.00	0.00	−0.00	0.00	−0.01***	0.00
Gender^a	−0.54***	0.11	0.14*	0.06	0.06	0.05	0.02	0.03	0.02	0.02	−0.52***	0.05	0.06	0.04
Covariates
Website^b	0.65***	0.11	0.38***	0.06	−0.16**	0.05	0.70*	0.03	0.02	0.02	0.21***	0.05	−0.09*	0.04
Ethnicity^c	−0.03	0.12	0.08	0.07	0.03	0.06	0.40	0.03	0.03	0.03	0.13*	0.06	0.10*	0.04
R ²	.10		.02		.01		.00		.00		.03		.03
F	105.59^***		15.74^***		14.12^***		4.15*		0.70		30.68^***		32.91^***

^aGender: 0 (female) and 1 (male). ^bWebsite: The two websites were dictomously coded as 1 and 0. ^cEthnicity: 0 (White) and 1 (Ethnic or racial minority).

*p < .05. **p < .01. ***p < .001.