Table 2.

Results from a linear regression model using APA Screener “total score” as the criterion, and each of the app popularity metrics as predictors (apps N = 59). The model indicates that app popularity did not predict app quality.

Predictor	b	b 95% CI	beta	beta 95% CI	Fit
(Intercept)	0.52**	[0.44, 0.59]
Number of Installs	0.00	[−0.00, 0.00]	2.18	[−0.36, 4.71]
Average Stars Rating	0.02	[−0.02, 0.05]	0.14	[−0.16, 0.44]
Number of Ratings	−0.00	[−0.01, 0.00]	−9.01	[−20.15, 2.13]
Number of Reviews	0.01	[−0.00, 0.02]	7.22	[−1.91, 16.36]
					R2 = .106, p = 0.189

Note. A significant b-weight indicates the beta-weight and semi-partial correlation are also significant. b represents unstandardized regression weights. beta indicates the standardized regression weights.

^*p < .05.

^**p < .01.