NSSE19-Benchmark-Report.pdf — PaddleOCR-VL (Baidu)

Detailed Statistics: First-Year Students

	Mean statistics			Percentiled scores					Comparison results
	Mean	SDb	SEc	5th	25th	50th	75th	95th	Deg. of freedome	Mean diff.	Sig.f	Effect sizeg
Experiences with Faculty
Student-Faculty Interaction
K-State (N = 39)	24.6	19.2	3.07	5	10	15	35	60
HBCU	24.8	16.0	.51	0	10	20	35	55	1,029	-.2	.942	-.012
Regional	23.4	15.0	.36	0	10	20	35	55	39	1.2	.711	.077
Like classification	24.2	15.1	.57	0	15	20	35	55	41	.3	.920	.021
Top 50%	24.9	14.8	.07	5	15	20	35	55	38	-.4	.906	-.025
Top 10%	28.0	15.5	.19	5	15	25	40	60	38	-3.4	.278	-.219
Effective Teaching Practices
K-State (N = 37)	29.8	13.7	2.27	12	20	28	36	60
HBCU	35.2	15.0	.49	12	24	36	45	60	973	-5.4	.034	-.358
Regional	38.4	13.3	.32	16	28	40	48	60	1,727	-8.6	.000	-.648
Like classification	37.5	13.0	.50	16	28	40	48	60	707	-7.6	.001	-.584
Top 50%	40.6	13.2	.06	20	32	40	52	60	48,094	-10.8	.000	-.816
Top 10%	42.7	14.0	.12	20	32	44	56	60	12,630	-12.9	.000	-.918
Campus Environment
Quality of Interactions
K-State (N = 32)	41.2	11.8	2.10	22	33	40	48	60
HBCU	36.6	13.8	.48	12	28	38	46	60	856	4.7	.061	.339
Regional	43.8	11.5	.30	22	38	44	52	60	1,518	-2.6	.216	-.222
Like classification	43.3	11.9	.48	20	36	44	52	60	646	-2.1	.339	-.174
Top 50%	44.9	11.4	.05	24	38	46	54	60	44,232	-3.6	.073	-.319
Top 10%	47.1	11.8	.11	24	40	50	58	60	11,103	-5.9	.005	-.499
Supportive Environment
K-State (N = 32)	30.5	12.8	2.28	10	23	28	40	60
HBCU	35.6	13.6	.47	15	25	35	45	60	857	-5.0	.040	-.372
Regional	37.1	13.6	.34	15	28	38	45	60	1,605	-6.6	.007	-.486
Like classification	35.4	13.7	.55	13	25	35	45	60	658	-4.9	.048	-.360
Top 50%	38.1	13.2	.06	18	30	40	48	60	52,761	-7.6	.001	-.577
Top 10%	40.1	13.2	.13	18	30	40	50	60	10,935	-9.5	.000	-.725

a. Results weighted by institution-reported sex and enrollment status (and institutional size for comparison groups).

b. Standard deviation is a measure of the amount the individual scores deviate from the mean of all the scores in the distribution.

c. Standard error of the mean, used to compute a confidence interval (CI) around the sample mean. For example, the 95% CI (equal to the sample mean ± 1.96 x SE) is the range that is 95% likely to contain the true population mean.

d. A percentile is the point in the distribution of student-level EI scores at or below which a given percentage of EI scores fall.

e. Degrees of freedom used to compute the t-tests. Values vary from the total Ns due to weighting and whether equal variances were assumed.

f. Statistical significance represents the probability that the difference between the mean of your institution and that of the comparison group occurred by chance.

g. Effect size is the mean difference divided by the pooled standard deviation.