Table 5.

The relationships between the quantity and content of race-related thoughts, conversations, and interactions and the IAT, concern, discrepancies, and the components of discrepancies, shoulds and woulds.

	Source	Predictor	IAT		Concern		Discrepancies		Shoulds		Woulds
Quantity	Thoughts	Rate per day (average)	.001 [−.020, .034]		−.073 [−.157, .020]		−.015 [−.078, .054]		.015 [−.037, .067]		−.001 [−.062, .046]
		Rate per day (change)	−.019 [−.072, .034]		.261 [−.118, .639]		.114 [−.109, .337]		.001 [−.020, .034]		.001 [−.247, .265]
	Conversations	Rate per day (average)	.033 [−.017, .085]		−.078 [−.253,. 104]		−.88 [−.174, −.001]	*	.094 [−.004, .186]		.009 [−.064, .084]
		Rate per day (change)	−.013 [−.087, .060]		.026 [−.509,.561]		.117 [−.196, −.430]		.011 [−.231, .209]		.100 [−260, .460]
	Interactions	Rate per day (average)	−.019 [−.041,.002]		−.004 [−.064, 053]		−.053 [−.097, −.011]	*	−.002 [−.037, .032]		−.059 [−.099, −.020]	*
		Rate per day (change)	−.044 [−.078, −0.11]	*	.167 [−.081, .416]		−.055 [−.201, .090]		−. 106 [−.207, −.004]	*	−.164 [−.330,.003]
Content	Thoughts-conversations	Participant bias	.049 [−.078, .177]		−1.716 [−2.663, −.762]	*	.432 [−.137, .999]		.338 [−.052, .727]		.761 [.118, 1.403]	*
		Others’ bias	−.004 [−.143, .135]		1.476 [.421, 2.531]	*	.610 [−.009, 1.228]		−.298 [−.725, .128]		.296 [−.417, 1.009]
		Societal pattern	−.060 [−.163, .043]		.907 [.117, 1.696]	*	.228 [−.236, .692]		−.327 [643, −.011]	*	−.095 [−.625, .435]
		Current event	.000 [−.088, .089]		.273 [−.407, .955]		−.126[−.522, .271]		−.244 [−.515, .026]		−.367 [−.817, .084]
		Labeling	−.035 [−.141, .071]		1.650 [.862, 2.437]	*	.040 [−.436, .517]		−.405 [−.727, −.083]	*	−.359 [−.901, .184]
	Interactions	Structured context	−.006 [−085, .073]		.170 [−.428,.769]		.004 [−.335, .341]		−.120 [−.339, .100]		−.111 [−.498, .275]
		Unfamiliar	.104 [−.011, .196]		−.645 [−1.340, .052]		.331 [−.064,. 726]		.004 [−.254, .262]		.347 [−.105,.798]
		High quality	−.069 [−.152, .014]		.556 [−.068, 1.181]		−.305 [−.658, .048]		−.132 [−.363,.099]		−.441 [−.844, .038]

Note: The quantity variables were calculated by dividing the reported quantities of race-related thoughts and conversations and interracial interactions and dividing by the elapsed time since the last measurement of these variables. We used each participant’s average rate of change and the differences between their average rate and their occasion-specific rates as predictors in an LMEM, with random slopes for the centered occasion-specific rates. For the content variables, we calculated the proportion of each participant’s descriptions that were coded in each category and used these proportions as predictors in an LMEM. All 95% CIs were derived using profile likelihood. All models contained effects for condition, linear and quadratic effects of time, interactions between condition and linear and quadratic time, random intercepts for each participant, and random slopes for linear and quadratic time.