Press and media on Vietnam's state administrative reform policy

1.10. Results of article classification on policy cycle

1.11. Results of analysis of the level of reflection of the content of the work's title

The extent to which the title of the work reflects its content

		Number of posts	Percentage	Valid %	Cumulative %
Observe	Full reflection Content	435	33	33	33
	Reflects part of the content	232	17.6	17.6	50.6
	Reflects the majority Content	651	49.4	49.4	100.0
	Total	1318	100.0	100.0

Maybe you are interested!

Press and media on Vietnam's state administrative reform policy - 38
Press and media on Vietnam's state administrative reform policy - 27
Social Media Marketing Activities for Nestle's Nestcafé Brand in Vietnam
The role of the state in Vietnam's international economic integration - 3
Perfecting Mechanisms and Policies for Construction Investment Projects from the State Budget in Vietnam's Transport Sector

1.12. Results of analysis of genre of work title

Genre of work name
		Number of posts	Percentage	Valid %	Cumulative %
Observe	Comment	473	35.9	35.9	35.9
	Ask a question	4	0.3	0.3	0.3
	sensational	6	0.5	0.5	0.5
	Confirm event information	835	63.3	63.3	63.3
	Total	1318	100.0	100.0

1.13. Results of analysis of work title length

	Length of work title
		Number of posts	Percentage	Valid %	Cumulative %
Observe	Over 12 characters	856	64.9	64.9	64.9
	From 08 - 12 words	420	31.9	31.9
	Under 8 characters	42	3.2	3.2	3.2
	Total	1318	100	100

Appendix 2. RESULTS OF STATISTICS AND CHI SQUARE TEST OF VARIABLES IN THE SURVEY SAMPLE

2.1. Results of analysis of the relationship between age and gender of the survey subjects

Gender * Ages Crosstabulation

Count
		Ages			Total
		Under 30	From 30 - 40	Over 40	Total
Gender	Male	40	101	13	154
Gender	Female	40	65	1	106
Total		80	166	14	260

Chi-Square Tests

	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	9.557 a	2	.008
Likelihood Ratio	11,160	2	.004
Linear-by-Linear Association	7,809	1	.005
N of Valid Cases	260

2.2. Results of analysis of the relationship between gender and occupation of the survey subjects

Gender * Occupation Crosstabulation

Count
		Occupation				Total
		Journalist	Officer	Business owner	People	Total
Gender	Male	46	27	61	20	154
Gender	Female	33	22	40	11	106
Total		79	49	101	31	260

Chi-Square Tests

	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	.794a	3	.851
Likelihood Ratio	.797	3	.850
Linear-by-Linear Association	.410	1	.522
N of Valid Cases	260

2.3. Results of analysis of the relationship between gender and level of survey subjects

Gender * Education Crosstabulation

Count
		Education			Total
		No college degree	University	Above university	Total
Gender	Male	50	96	8	154
Gender	Female	31	66	9	106
Total		81	162	17	260

	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	1.252 a	2	.535
Likelihood Ratio	1,233	2	.540
Linear-by-Linear Association	.840	1	.359
N of Valid Cases	260

Chi-Square Tests

2.4. Results of analysis of the relationship between age and occupation of the survey subjects

Ages * Occupation Crosstabulation

Count
		Occupation				Total
		Journalist	Officer	Business owner	People	Total
Ages	Under 30	29	13	27	11	80
	From 30 - 40	47	30	70	19	166
	Over 40	3	6	4	1	14
Total		79	49	101	31	260

Chi-Square Tests

	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	8.042 a	6	.235
Likelihood Ratio	6,992	6	.322
Linear-by-Linear Association	.226	1	.634
N of Valid Cases	260

2.5. Results of analysis of the relationship between age and education level of survey subjects

Ages * Education Crosstabulation

Count
		Education			Total
		No college degree	University	Above university	Total
Ages	Under 30	35	45	0	80
	From 30 - 40	44	108	14	166
	Over 40	2	9	3	14
Total		81	162	17	260

Chi-Square Tests

	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	18,076 a	4	.001
Likelihood Ratio	21,376	4	.000
Linear-by-Linear Association	15,908	1	.000
N of Valid Cases	260

2.6. Results of analysis of the relationship between occupation and level of survey subjects

Occupation * Education Crosstabulation

Count

Education			Total
No college degree	University	Above university	Total
Occupation	Journalist	28	47	4	79
	Officer	10	34	5	49
	Business owner	31	63	7	101
	People	12	18	1	31
Total		81	162	17	260

Chi-Square Tests

	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	5.256 a	6	.511
Likelihood Ratio	5,433	6	.490
Linear-by-Linear Association	.020	1	.888
N of Valid Cases	260

Appendix 3. RESULTS OF CHI-SQUARE TEST

Chi square test is used when we want to see if there is a relationship between two categorical variables in a population. The hypothesis of chi square test is stated as follows:

Hypothesis H0 = The categorical variables are two independent variables

Hypothesis H1= Categorical variables are not two independent variables

To conclude whether to accept or reject the hypothesis H0, we will use appropriate tests. Based on the P-value (p-value or sig.) to conclude whether to accept or reject the hypothesis H0. If the p-value (sig.) ≤ α (significance level), the hypothesis H0 is rejected. This means that there is a significant relationship between the variables to be tested. If the p-value (sig.) > α (significance level), H0 is accepted. Otherwise, there is no relationship between the variables to be tested. The most common significance level is 5% or 0.05.

3.1. Chi2 test results on the relationship between articles of press agencies distributed by month

Press Agency * Month of publication

		Number of posts per month
		January	February	March	April	May	June	July	August	September	October	November	December	Total
Press agency	BĐTDBND	16	7	4	1	16	7	5	7	14	18	10	8	11 3
	BND	50	25	45	49	78	23	46	0	0	0	1	1	31 8
	VietnamPlus	75	37	36	40	81	52	82	39	59	69	59	88	71 7
	VTV1	14	10	10	21	22	13	14	9	15	19	12	11	17 0
Total		15 5	79	95	11 1	19 7	95	14 7	55	88	10 6	82	10 8	13 18

Chi-Square Tests

	Value	df	Asymp. Sig. (2-sided)
Pearson Chi-Square	260,768 a	33	.000
Likelihood Ratio	343,972	33	.000
Linear-by-Linear Association	31,262	1	.000
N of Valid Cases	1318

Comment