Table 1: Open in new tab Higher...

Demographics (N = 2341)	COVID-19 information found on the internet
Gender	%	Mdn	M	SD	%	Mdn	M	SD	%	Mdn	M	SD	M
Female	65	2.00	1.954	0.647	57	2.00	1.901	0.569	65	2.00	1.96	0.652	1.938
Male	64	2.00	1.917	0.638	59	2.00	1.911	0.592	64	2.00	1.928	0.643	1.919
	H(1) = 1.84, p = 0.1739	H(1) = 0.01, p = 0.9016	H(1) = 1.68, p = 0.1946	Welch Two-Sample t-test t = 0.76, df = 998.42, p = 0.4444
Age
<22	66	2.00	1.972	0.659	54	2.00	1.904	0.541	63	2.00	1.928	0.632	1.933
22–24	63	2.00	1.926	0.629	58	2.00	1.892	0.583	65	2.00	1.955	0.647	1.924
25–29	65	2.00	1.96	0.648	57	2.00	1.915	0.573	64	2.00	1.94	0.645	1.939
30–34	66	2.00	1.917	0.657	61	2.00	1.905	0.605	69	2.00	2.016	0.693	1.946
	H(3) = 2.98, p = 0.394	H(3) = 1.03, p = 0.7925	H(3) = 3.71, p = 0.2935	ANOVA df = 3, MS = 0.4211, F = 0.166, p = 0.919

Demographics
(N = 2341)

COVID-19 information found on the internet

Applicability for decision-making

Applicability to daily life

Usability to make decisions about health

A mean from the sum of the three self-perceived abilities

Gender

Mdn

Female

2.00

1.954

0.647

2.00

1.901

0.569

2.00

1.96

0.652

1.938

Male

2.00

1.917

0.638

2.00

1.911

0.592

2.00

1.928

0.643

1.919

H(1) = 1.84, p = 0.1739

H(1) = 0.01, p = 0.9016

H(1) = 1.68, p = 0.1946

Welch Two-Sample t-test
t = 0.76, df = 998.42, p = 0.4444

Age

<22

2.00

1.972

0.659

2.00

1.904

0.541

2.00

1.928

0.632

1.933

22–24

2.00

1.926

0.629

2.00

1.892

0.583

2.00

1.955

0.647

1.924

25–29

2.00

1.96

0.648

2.00

1.915

0.573

2.00

1.94

0.645

1.939

30–34

2.00

1.917

0.657

2.00

1.905

0.605

2.00

2.016

0.693

1.946

H(3) = 2.98, p = 0.394

H(3) = 1.03, p = 0.7925

H(3) = 3.71, p = 0.2935

ANOVA
df = 3, MS = 0.4211, F = 0.166, p = 0.919

Demographics (N = 2341)	COVID-19 information found on the internet
Gender	%	Mdn	M	SD	%	Mdn	M	SD	%	Mdn	M	SD	M
Female	65	2.00	1.954	0.647	57	2.00	1.901	0.569	65	2.00	1.96	0.652	1.938
Male	64	2.00	1.917	0.638	59	2.00	1.911	0.592	64	2.00	1.928	0.643	1.919
	H(1) = 1.84, p = 0.1739	H(1) = 0.01, p = 0.9016	H(1) = 1.68, p = 0.1946	Welch Two-Sample t-test t = 0.76, df = 998.42, p = 0.4444
Age
<22	66	2.00	1.972	0.659	54	2.00	1.904	0.541	63	2.00	1.928	0.632	1.933
22–24	63	2.00	1.926	0.629	58	2.00	1.892	0.583	65	2.00	1.955	0.647	1.924
25–29	65	2.00	1.96	0.648	57	2.00	1.915	0.573	64	2.00	1.94	0.645	1.939
30–34	66	2.00	1.917	0.657	61	2.00	1.905	0.605	69	2.00	2.016	0.693	1.946
	H(3) = 2.98, p = 0.394	H(3) = 1.03, p = 0.7925	H(3) = 3.71, p = 0.2935	ANOVA df = 3, MS = 0.4211, F = 0.166, p = 0.919

Table 1:

Open in new tab

Higher education students’ self-perceived abilities of applicability and usability of the COVID-19 information found online, by gender and age. The numbers stand for: 1 = Very easy, 2 = Easy, 3 = Difficult, 4 = Very difficult

Demographics (N = 2341)	COVID-19 information found on the internet
	Applicability for decision-making				Applicability to daily life				Usability to make decisions about health				A mean from the sum of the three self-perceived abilities
Gender	%	Mdn	M	SD	%	Mdn	M	SD	%	Mdn	M	SD	M
Female	65	2.00	1.954	0.647	57	2.00	1.901	0.569	65	2.00	1.96	0.652	1.938
Male	64	2.00	1.917	0.638	59	2.00	1.911	0.592	64	2.00	1.928	0.643	1.919
	H(1) = 1.84, p = 0.1739				H(1) = 0.01, p = 0.9016				H(1) = 1.68, p = 0.1946				Welch Two-Sample t-test t = 0.76, df = 998.42, p = 0.4444
Age
<22	66	2.00	1.972	0.659	54	2.00	1.904	0.541	63	2.00	1.928	0.632	1.933
22–24	63	2.00	1.926	0.629	58	2.00	1.892	0.583	65	2.00	1.955	0.647	1.924
25–29	65	2.00	1.96	0.648	57	2.00	1.915	0.573	64	2.00	1.94	0.645	1.939
30–34	66	2.00	1.917	0.657	61	2.00	1.905	0.605	69	2.00	2.016	0.693	1.946
	H(3) = 2.98, p = 0.394				H(3) = 1.03, p = 0.7925				H(3) = 3.71, p = 0.2935				ANOVA df = 3, MS = 0.4211, F = 0.166, p = 0.919

Demographics (N = 2341)	COVID-19 information found on the internet
	Applicability for decision-making				Applicability to daily life				Usability to make decisions about health				A mean from the sum of the three self-perceived abilities
Gender	%	Mdn	M	SD	%	Mdn	M	SD	%	Mdn	M	SD	M
Female	65	2.00	1.954	0.647	57	2.00	1.901	0.569	65	2.00	1.96	0.652	1.938
Male	64	2.00	1.917	0.638	59	2.00	1.911	0.592	64	2.00	1.928	0.643	1.919
	H(1) = 1.84, p = 0.1739				H(1) = 0.01, p = 0.9016				H(1) = 1.68, p = 0.1946				Welch Two-Sample t-test t = 0.76, df = 998.42, p = 0.4444
Age
<22	66	2.00	1.972	0.659	54	2.00	1.904	0.541	63	2.00	1.928	0.632	1.933
22–24	63	2.00	1.926	0.629	58	2.00	1.892	0.583	65	2.00	1.955	0.647	1.924
25–29	65	2.00	1.96	0.648	57	2.00	1.915	0.573	64	2.00	1.94	0.645	1.939
30–34	66	2.00	1.917	0.657	61	2.00	1.905	0.605	69	2.00	2.016	0.693	1.946
	H(3) = 2.98, p = 0.394				H(3) = 1.03, p = 0.7925				H(3) = 3.71, p = 0.2935				ANOVA df = 3, MS = 0.4211, F = 0.166, p = 0.919

Notes: %, Mdn, M and SD represent percent, median, mean and standard deviation. H(df) = Kruskall–Wallis chi-square, p = p-value. Also, t = t-statistics, df = degrees of freedom, MS = mean squares and F = F-value.

This Feature Is Available To Subscribers Only