Главная Коллекция "Otherreferats" Маркетинг, реклама и торговля Цифровой этикет: нормативные представления о различных форматах межличностной коммуникации в мессенджерах

Цифровой этикет: нормативные представления о различных форматах межличностной коммуникации в мессенджерах

Коммуникация в сети через мобильные устройства. Потребности, удовлетворяемые межличностной коммуникацией в мессенджерах. Сравнение средних оценок форматов в разных сценариях. Выбор кластерной модели для оценок пользователя. Суть четырехкластерной модели.

Рубрика	Маркетинг, реклама и торговля
Вид	дипломная работа
Язык	русский
Дата добавления	17.07.2020
Размер файла	2,2 M

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Страница:

7,365

,596

482

12,357

,000

s7_mistakes

17,191

,775

482

22,183

,000

s7_emoj

26,241

1,362

482

19,267

,000

s7_divide

23,395

,673

482

34,785

,000

s8_audio

35,956

1,034

482

34,787

,000

s8_video

5,772

,255

482

22,616

,000

s8_audcall

21,612

,816

482

26,486

,000

s8_vidcall

2,998

,197

482

15,194

,000

s8_CAPS

14,555

,705

482

20,645

,000

s8_mistakes

16,428

,639

482

25,698

,000

s8_emoj

23,911

1,292

482

18,512

,000

s8_divide

8,873

,557

482

15,938

,000

s9_audio

110,291

1,429

482

77,168

,000

s9_video

38,499

,730

482

52,763

,000

s9_audcall

63,224

,827

482

76,467

,000

s9_vidcall

29,359

,356

482

82,534

,000

s9_CAPS

66,166

1,341

482

49,328

,000

s9_mistakes

69,195

1,194

482

57,973

,000

s9_emoj

48,348

1,172

482

41,237

,000

s9_divide

74,870

1,270

482

58,972

,000

The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.

Таблица 50.

ANOVA для двухкластерной модели, оценка собеседника
	Cluster	Error	F	Sig.
	Mean Square	df	Mean Square	df
s1_sobes_text	,033	1	,179	485	,182	,670
s1_sobes_audio	108,158	1	1,049	485	103,116	,000
s1_sobes_video	195,562	1	1,014	485	192,804	,000
s1_sobes_audcall	52,976	1	1,546	485	34,259	,000
s1_sobes_vidcall	60,338	1	,866	485	69,673	,000
s1_sobes_CAPS	64,007	1	1,209	485	52,947	,000
s1_sobes_mistakes	65,166	1	1,047	485	62,265	,000
s1_sobes_emoj	50,353	1	,982	485	51,254	,000
s1_sobes_divide	101,435	1	1,330	485	76,241	,000
s2_sobes_text	,107	1	,065	485	1,641	,201
s2_sobes_audio	107,740	1	,965	485	111,622	,000
s2_sobes_video	236,019	1	1,171	485	201,631	,000
s2_sobes_audcall	115,925	1	1,635	485	70,892	,000
s2_sobes_vidcall	72,127	1	,995	485	72,455	,000
s2_sobes_CAPS	115,723	1	1,244	485	93,031	,000
s2_sobes_mistakes	63,426	1	1,099	485	57,702	,000
s2_sobes_emoj	69,632	1	1,022	485	68,110	,000
s2_sobes_divide	140,314	1	1,337	485	104,955	,000
s3_sobes_text	,053	1	,119	485	,449	,503
s3_sobes_audio	109,723	1	1,280	485	85,695	,000
s3_sobes_video	251,559	1	1,650	485	152,487	,000
s3_sobes_audcall	106,771	1	1,148	485	93,042	,000
s3_sobes_vidcall	67,893	1	,839	485	80,911	,000
s3_sobes_CAPS	49,905	1	1,087	485	45,902	,000
s3_sobes_mistakes	52,129	1	1,321	485	39,462	,000
s3_sobes_emoj	21,444	1	,791	485	27,109	,000
s3_sobes_divide	115,315	1	1,560	485	73,931	,000
s4_sobes_text	,015	1	,034	485	,434	,511
s4_sobes_audio	76,510	1	,885	485	86,481	,000
s4_sobes_video	239,988	1	1,569	485	152,936	,000
s4_sobes_audcall	152,575	1	1,736	485	87,888	,000
s4_sobes_vidcall	156,013	1	1,665	485	93,706	,000
s4_sobes_CAPS	100,515	1	1,235	485	81,414	,000
s4_sobes_mistakes	78,488	1	1,190	485	65,964	,000
s4_sobes_emoj	50,683	1	,866	485	58,533	,000
s4_sobes_divide	136,225	1	1,479	485	92,115	,000
s5_sobes_text	,022	1	,072	485	,307	,580
s5_sobes_audio	180,537	1	1,169	485	154,404	,000
s5_sobes_video	145,808	1	,898	485	162,419	,000
s5_sobes_audcall	76,386	1	1,701	485	44,913	,000
s5_sobes_vidcall	49,357	1	,705	485	69,979	,000
s5_sobes_CAPS	85,007	1	,873	485	97,366	,000
s5_sobes_mistakes	61,809	1	1,070	485	57,782	,000
s5_sobes_emoj	120,898	1	1,374	485	87,958	,000
s5_sobes_divide	83,561	1	,919	485	90,877	,000
s6_sobes_text	,012	1	,144	485	,085	,771
s6_sobes_audio	214,688	1	1,233	485	174,131	,000
s6_sobes_video	253,173	1	1,032	485	245,393	,000
s6_sobes_audcall	93,036	1	1,131	485	82,258	,000
s6_sobes_vidcall	41,261	1	,547	485	75,489	,000
s6_sobes_CAPS	124,055	1	1,083	485	114,524	,000
s6_sobes_mistakes	81,727	1	1,085	485	75,357	,000
s6_sobes_emoj	102,477	1	1,167	485	87,790	,000
s6_sobes_divide	125,078	1	1,072	485	116,626	,000
s7_sobes_text	,817	1	,685	485	1,192	,275
s7_sobes_audio	116,330	1	,962	485	120,983	,000
s7_sobes_video	44,735	1	,457	485	97,976	,000
s7_sobes_audcall	8,514	1	,396	485	21,492	,000
s7_sobes_vidcall	2,294	1	,125	485	18,322	,000
s7_sobes_CAPS	39,473	1	,640	485	61,658	,000
s7_sobes_mistakes	44,801	1	,869	485	51,548	,000
s7_sobes_emoj	83,263	1	1,404	485	59,303	,000
s7_sobes_divide	58,066	1	,736	485	78,913	,000
s8_sobes_text	,074	1	,040	485	1,861	,173
s8_sobes_audio	230,404	1	1,176	485	195,898	,000
s8_sobes_video	222,649	1	1,068	485	208,423	,000
s8_sobes_audcall	117,030	1	1,095	485	106,870	,000
s8_sobes_vidcall	58,470	1	,560	485	104,503	,000
s8_sobes_CAPS	98,210	1	,916	485	107,218	,000
s8_sobes_mistakes	91,109	1	,896	485	101,662	,000
s8_sobes_emoj	90,225	1	1,072	485	84,184	,000
s8_sobes_divide	114,920	1	1,014	485	113,324	,000
s9_sobes_text	,009	1	,079	485	,116	,733
s9_sobes_audio	236,432	1	1,288	485	183,506	,000
s9_sobes_video	309,827	1	1,157	485	267,736	,000
s9_sobes_audcall	135,188	1	1,282	485	105,484	,000
s9_sobes_vidcall	72,258	1	,772	485	93,590	,000
s9_sobes_CAPS	154,222	1	1,107	485	139,304	,000
s9_sobes_mistakes	114,916	1	1,070	485	107,361	,000
s9_sobes_emoj	110,737	1	1,027	485	107,814	,000
s9_sobes_divide	152,333	1	1,268	485	120,134	,000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.
Таблица 51. ANOVA для двухкластерной модели со значимыми переменными, оценка собеседника
	Cluster	Error	F	Sig.
	Mean Square	df	Mean Square	df
s1_sobes_audio	108,158	1	1,049	485	103,116	,000
s1_sobes_video	195,562	1	1,014	485	192,804	,000
s1_sobes_audcall	52,976	1	1,546	485	34,259	,000
s1_sobes_vidcall	60,338	1	,866	485	69,673	,000
s1_sobes_CAPS	64,007	1	1,209	485	52,947	,000
s1_sobes_mistakes	65,166	1	1,047	485	62,265	,000
s1_sobes_emoj	50,353	1	,982	485	51,254	,000
s1_sobes_divide	101,435	1	1,330	485	76,241	,000
s2_sobes_audio	107,740	1	,965	485	111,622	,000
s2_sobes_video	236,019	1	1,171	485	201,631	,000
s2_sobes_audcall	115,925	1	1,635	485	70,892	,000
s2_sobes_vidcall	72,127	1	,995	485	72,455	,000
s2_sobes_CAPS	115,723	1	1,244	485	93,031	,000
s2_sobes_mistakes	63,426	1	1,099	485	57,702	,000
s2_sobes_emoj	69,632	1	1,022	485	68,110	,000
s2_sobes_divide	140,314	1	1,337	485	104,955	,000
s3_sobes_audio	109,723	1	1,280	485	85,695	,000
s3_sobes_video	251,559	1	1,650	485	152,487	,000
s3_sobes_audcall	106,771	1	1,148	485	93,042	,000
s3_sobes_vidcall	67,893	1	,839	485	80,911	,000
s3_sobes_CAPS	49,905	1	1,087	485	45,902	,000
s3_sobes_mistakes	52,129	1	1,321	485	39,462	,000
s3_sobes_emoj	21,444	1	,791	485	27,109	,000
s3_sobes_divide	115,315	1	1,560	485	73,931	,000
s4_sobes_audio	76,510	1	,885	485	86,481	,000
s4_sobes_video	239,988	1	1,569	485	152,936	,000
s4_sobes_audcall	152,575	1	1,736	485	87,888	,000
s4_sobes_vidcall	156,013	1	1,665	485	93,706	,000
s4_sobes_CAPS	100,515	1	1,235	485	81,414	,000
s4_sobes_mistakes	78,488	1	1,190	485	65,964	,000
s4_sobes_emoj	50,683	1	,866	485	58,533	,000
s4_sobes_divide	136,225	1	1,479	485	92,115	,000
s5_sobes_audio	180,537	1	1,169	485	154,404	,000
s5_sobes_video	145,808	1	,898	485	162,419	,000
s5_sobes_audcall	76,386	1	1,701	485	44,913	,000
s5_sobes_vidcall	49,357	1	,705	485	69,979	,000
s5_sobes_CAPS	85,007	1	,873	485	97,366	,000
s5_sobes_mistakes	61,809	1	1,070	485	57,782	,000
s5_sobes_emoj	120,898	1	1,374	485	87,958	,000
s5_sobes_divide	83,561	1	,919	485	90,877	,000
s6_sobes_audio	214,688	1	1,233	485	174,131	,000
s6_sobes_video	253,173	1	1,032	485	245,393	,000
s6_sobes_audcall	93,036	1	1,131	485	82,258	,000
s6_sobes_vidcall	41,261	1	,547	485	75,489	,000
s6_sobes_CAPS	124,055	1	1,083	485	114,524	,000
s6_sobes_mistakes	81,727	1	1,085	485	75,357	,000
s6_sobes_emoj	102,477	1	1,167	485	87,790	,000
s6_sobes_divide	125,078	1	1,072	485	116,626	,000
s7_sobes_audio	116,330	1	,962	485	120,983	,000
s7_sobes_video	44,735	1	,457	485	97,976	,000
s7_sobes_audcall	8,514	1	,396	485	21,492	,000
s7_sobes_vidcall	2,294	1	,125	485	18,322	,000
s7_sobes_CAPS	39,473	1	,640	485	61,658	,000
s7_sobes_mistakes	44,801	1	,869	485	51,548	,000
s7_sobes_emoj	83,263	1	1,404	485	59,303	,000
s7_sobes_divide	58,066	1	,736	485	78,913	,000
s8_sobes_audio	230,404	1	1,176	485	195,898	,000
s8_sobes_video	222,649	1	1,068	485	208,423	,000
s8_sobes_audcall	117,030	1	1,095	485	106,870	,000
s8_sobes_vidcall	58,470	1	,560	485	104,503	,000
s8_sobes_CAPS	98,210	1	,916	485	107,218	,000
s8_sobes_mistakes	91,109	1	,896	485	101,662	,000
s8_sobes_emoj	90,225	1	1,072	485	84,184	,000
s8_sobes_divide	114,920	1	1,014	485	113,324	,000
s9_sobes_audio	236,432	1	1,288	485	183,506	,000
s9_sobes_video	309,827	1	1,157	485	267,736	,000
s9_sobes_audcall	135,188	1	1,282	485	105,484	,000
s9_sobes_vidcall	72,258	1	,772	485	93,590	,000
s9_sobes_CAPS	154,222	1	1,107	485	139,304	,000
s9_sobes_mistakes	114,916	1	1,070	485	107,361	,000
s9_sobes_emoj	110,737	1	1,027	485	107,814	,000
s9_sobes_divide	152,333	1	1,268	485	120,134	,000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.
Таблица 52. ANOVA для трехкластерной модели, оценка собеседника
	Cluster	Error	F	Sig.
	Mean Square	df	Mean Square	df
s1_sobes_text	,412	2	,178	484	2,318	,100
s1_sobes_audio	43,757	2	1,094	484	40,008	,000
s1_sobes_video	102,279	2	,998	484	102,503	,000
s1_sobes_audcall	46,939	2	1,465	484	32,040	,000
s1_sobes_vidcall	52,748	2	,774	484	68,106	,000
s1_sobes_CAPS	57,480	2	1,106	484	51,965	,000
s1_sobes_mistakes	77,876	2	,862	484	90,385	,000
s1_sobes_emoj	42,214	2	,914	484	46,184	,000
s1_sobes_divide	82,475	2	1,202	484	68,616	,000
s2_sobes_text	,137	2	,065	484	2,109	,122
s2_sobes_audio	51,556	2	,977	484	52,781	,000
s2_sobes_video	130,459	2	1,122	484	116,323	,000
s2_sobes_audcall	92,517	2	1,496	484	61,850	,000
s2_sobes_vidcall	68,391	2	,864	484	79,161	,000
s2_sobes_CAPS	93,280	2	1,100	484	84,790	,000
s2_sobes_mistakes	81,491	2	,896	484	90,972	,000
s2_sobes_emoj	54,716	2	,942	484	58,071	,000
s2_sobes_divide	108,520	2	1,181	484	91,878	,000
s3_sobes_text	,040	2	,119	484	,337	,714
s3_sobes_audio	52,064	2	1,295	484	40,216	,000
s3_sobes_video	126,818	2	1,649	484	76,914	,000
s3_sobes_audcall	84,518	2	1,021	484	82,756	,000
s3_sobes_vidcall	60,705	2	,730	484	83,127	,000
s3_sobes_CAPS	47,760	2	,995	484	47,989	,000
s3_sobes_mistakes	75,864	2	1,118	484	67,862	,000
s3_sobes_emoj	17,801	2	,763	484	23,318	,000
s3_sobes_divide	111,852	2	1,339	484	83,531	,000
s4_sobes_text	,031	2	,034	484	,922	,398
s4_sobes_audio	33,943	2	,904	484	37,533	,000
s4_sobes_video	125,127	2	1,551	484	80,662	,000
s4_sobes_audcall	118,628	2	1,565	484	75,818	,000
s4_sobes_vidcall	111,307	2	1,531	484	72,714	,000
s4_sobes_CAPS	74,247	2	1,138	484	65,242	,000
s4_sobes_mistakes	88,159	2	,990	484	89,033	,000
s4_sobes_emoj	46,561	2	,780	484	59,694	,000
s4_sobes_divide	112,788	2	1,297	484	86,941	,000
s5_sobes_text	,015	2	,073	484	,213	,808
s5_sobes_audio	73,960	2	1,239	484	59,690	,000
s5_sobes_video	83,473	2	,856	484	97,526	,000
s5_sobes_audcall	72,150	2	1,564	484	46,133	,000
s5_sobes_vidcall	37,332	2	,654	484	57,041	,000
s5_sobes_CAPS	46,688	2	,858	484	54,441	,000
s5_sobes_mistakes	60,730	2	,949	484	64,017	,000
s5_sobes_emoj	83,416	2	1,282	484	65,046	,000
s5_sobes_divide	51,362	2	,882	484	58,248	,000
s6_sobes_text	,188	2	,144	484	1,306	,272
s6_sobes_audio	91,128	2	1,302	484	69,965	,000
s6_sobes_video	135,858	2	,996	484	136,469	,000
s6_sobes_audcall	82,300	2	,986	484	83,509	,000
s6_sobes_vidcall	40,887	2	,464	484	88,117	,000
s6_sobes_CAPS	70,620	2	1,050	484	67,260	,000
s6_sobes_mistakes	72,348	2	,957	484	75,624	,000
s6_sobes_emoj	65,352	2	1,111	484	58,802	,000
s6_sobes_divide	79,768	2	1,003	484	79,490	,000
s7_sobes_text	,413	2	,687	484	,602	,548
s7_sobes_audio	57,899	2	,965	484	60,022	,000
s7_sobes_video	23,984	2	,451	484	53,196	,000
s7_sobes_audcall	8,014	2	,381	484	21,012	,000
s7_sobes_vidcall	2,294	2	,121	484	18,998	,000
s7_sobes_CAPS	26,232	2	,615	484	42,677	,000
s7_sobes_mistakes	42,545	2	,788	484	54,014	,000
s7_sobes_emoj	59,154	2	1,335	484	44,326	,000
s7_sobes_divide	37,614	2	,702	484	53,589	,000
s8_sobes_text	,054	2	,040	484	1,342	,262
s8_sobes_audio	103,689	2	1,226	484	84,565	,000
s8_sobes_video	124,251	2	1,017	484	122,169	,000
s8_sobes_audcall	100,768	2	,923	484	109,205	,000
s8_sobes_vidcall	45,947	2	,492	484	93,462	,000
s8_sobes_CAPS	61,544	2	,866	484	71,028	,000
s8_sobes_mistakes	74,235	2	,780	484	95,230	,000
s8_sobes_emoj	56,720	2	1,026	484	55,283	,000
s8_sobes_divide	70,875	2	,961	484	73,770	,000
s9_sobes_text	,010	2	,079	484	,132	,877
s9_sobes_audio	100,095	2	1,366	484	73,278	,000
s9_sobes_video	156,519	2	1,153	484	135,753	,000
s9_sobes_audcall	116,332	2	1,083	484	107,431	,000
s9_sobes_vidcall	62,780	2	,664	484	94,616	,000
s9_sobes_CAPS	74,730	2	1,119	484	66,770	,000
s9_sobes_mistakes	85,393	2	,957	484	89,216	,000
s9_sobes_emoj	63,107	2	,997	484	63,280	,000
s9_sobes_divide	83,945	2	1,239	484	67,779	,000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.
Таблица 53. ANOVA для трехкластерной модели со значимыми переменными, оценка собеседника
	Cluster	Error	F	Sig.
	Mean Square	df	Mean Square	df
s1_sobes_audio	43,757	2	1,094	484	40,008	,000
s1_sobes_video	102,279	2	,998	484	102,503	,000
s1_sobes_audcall	46,939	2	1,465	484	32,040	,000
s1_sobes_vidcall	52,748	2	,774	484	68,106	,000
s1_sobes_CAPS	57,480	2	1,106	484	51,965	,000
s1_sobes_mistakes	77,876	2	,862	484	90,385	,000
s1_sobes_emoj	42,214	2	,914	484	46,184	,000
s1_sobes_divide	82,475	2	1,202	484	68,616	,000
s2_sobes_audio	51,556	2	,977	484	52,781	,000
s2_sobes_video	130,459	2	1,122	484	116,323	,000
s2_sobes_audcall	92,517	2	1,496	484	61,850	,000
s2_sobes_vidcall	68,391	2	,864	484	79,161	,000
s2_sobes_CAPS	93,280	2	1,100	484	84,790	,000
s2_sobes_mistakes	81,491	2	,896	484	90,972	,000
s2_sobes_emoj	54,716	2	,942	484	58,071	,000
s2_sobes_divide	108,520	2	1,181	484	91,878	,000
s3_sobes_audio	52,064	2	1,295	484	40,216	,000
s3_sobes_video	126,818	2	1,649	484	76,914	,000
s3_sobes_audcall	84,518	2	1,021	484	82,756	,000
s3_sobes_vidcall	60,705	2	,730	484	83,127	,000
s3_sobes_CAPS	47,760	2	,995	484	47,989	,000
s3_sobes_mistakes	75,864	2	1,118	484	67,862	,000
s3_sobes_emoj	17,801	2	,763	484	23,318	,000
s3_sobes_divide	111,852	2	1,339	484	83,531	,000
s4_sobes_audio	33,943	2	,904	484	37,533	,000
s4_sobes_video	125,127	2	1,551	484	80,662	,000
s4_sobes_audcall	118,628	2	1,565	484	75,818	,000
s4_sobes_vidcall	111,307	2	1,531	484	72,714	,000
s4_sobes_CAPS	74,247	2	1,138	484	65,242	,000
s4_sobes_mistakes	88,159	2	,990	484	89,033	,000
s4_sobes_emoj	46,561	2	,780	484	59,694	,000
s4_sobes_divide	112,788	2	1,297	484	86,941	,000
s5_sobes_audio	73,960	2	1,239	484	59,690	,000
s5_sobes_video	83,473	2	,856	484	97,526	,000
s5_sobes_audcall	72,150	2	1,564	484	46,133	,000
s5_sobes_vidcall	37,332	2	,654	484	57,041	,000
s5_sobes_CAPS	46,688	2	,858	484	54,441	,000
s5_sobes_mistakes	60,730	2	,949	484	64,017	,000
s5_sobes_emoj	83,416	2	1,282	484	65,046	,000
s5_sobes_divide	51,362	2	,882	484	58,248	,000
s6_sobes_audio	91,128	2	1,302	484	69,965	,000
s6_sobes_video	135,858	2	,996	484	136,469	,000
s6_sobes_audcall	82,300	2	,986	484	83,509	,000
s6_sobes_vidcall	40,887	2	,464	484	88,117	,000
s6_sobes_CAPS	70,620	2	1,050	484	67,260	,000
s6_sobes_mistakes	72,348	2	,957	484	75,624	,000
s6_sobes_emoj	65,352	2	1,111	484	58,802	,000
s6_sobes_divide	79,768	2	1,003	484	79,490	,000
s7_sobes_audio	57,899	2	,965	484	60,022	,000
s7_sobes_video	23,984	2	,451	484	53,196	,000
s7_sobes_audcall	8,014	2	,381	484	21,012	,000
s7_sobes_vidcall	2,294	2	,121	484	18,998	,000
s7_sobes_CAPS	26,232	2	,615	484	42,677	,000
s7_sobes_mistakes	42,545	2	,788	484	54,014	,000
s7_sobes_emoj	59,154	2	1,335	484	44,326	,000
s7_sobes_divide	37,614	2	,702	484	53,589	,000
s8_sobes_audio	103,689	2	1,226	484	84,565	,000
s8_sobes_video	124,251	2	1,017	484	122,169	,000
s8_sobes_audcall	100,768	2	,923	484	109,205	,000
s8_sobes_vidcall	45,947	2	,492	484	93,462	,000
s8_sobes_CAPS	61,544	2	,866	484	71,028	,000
s8_sobes_mistakes	74,235	2	,780	484	95,230	,000
s8_sobes_emoj	56,720	2	1,026	484	55,283	,000
s8_sobes_divide	70,875	2	,961	484	73,770	,000
s9_sobes_audio	100,095	2	1,366	484	73,278	,000
s9_sobes_video	156,519	2	1,153	484	135,753	,000
s9_sobes_audcall	116,332	2	1,083	484	107,431	,000
s9_sobes_vidcall	62,780	2	,664	484	94,616	,000
s9_sobes_CAPS	74,730	2	1,119	484	66,770	,000
s9_sobes_mistakes	85,393	2	,957	484	89,216	,000
s9_sobes_emoj	63,107	2	,997	484	63,280	,000
s9_sobes_divide	83,945	2	1,239	484	67,779	,000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.
Таблица 54. ANOVA для четырехкластерной модели, оценка собеседника
	Cluster	Error	F	Sig.
	Mean Square	df	Mean Square	df
s1_sobes_text	,366	3	,178	483	2,064	,104
s1_sobes_audio	48,528	3	,976	483	49,733	,000
s1_sobes_video	85,779	3	,891	483	96,315	,000
s1_sobes_audcall	32,781	3	1,459	483	22,471	,000
s1_sobes_vidcall	37,990	3	,759	483	50,083	,000
s1_sobes_CAPS	34,090	3	1,135	483	30,043	,000
s1_sobes_mistakes	48,273	3	,886	483	54,484	,000
s1_sobes_emoj	28,043	3	,917	483	30,596	,000
s1_sobes_divide	73,480	3	1,090	483	67,438	,000
s2_sobes_text	,095	3	,065	483	1,461	,224
s2_sobes_audio	51,602	3	,872	483	59,192	,000
s2_sobes_video	106,676	3	1,001	483	106,519	,000
s2_sobes_audcall	57,203	3	1,527	483	37,468	,000
s2_sobes_vidcall	49,174	3	,844	483	58,297	,000
s2_sobes_CAPS	54,556	3	1,150	483	47,449	,000
s2_sobes_mistakes	50,357	3	,922	483	54,600	,000
s2_sobes_emoj	36,507	3	,944	483	38,672	,000
s2_sobes_divide	77,438	3	1,152	483	67,224	,000
s3_sobes_text	,158	3	,118	483	1,337	,262
s3_sobes_audio	60,946	3	1,134	483	53,729	,000
s3_sobes_video	122,214	3	1,418	483	86,171	,000
s3_sobes_audcall	66,974	3	,957	483	69,956	,000
s3_sobes_vidcall	47,140	3	,690	483	68,283	,000
s3_sobes_CAPS	23,992	3	1,046	483	22,936	,000
s3_sobes_mistakes	41,562	3	1,176	483	35,336	,000
s3_sobes_emoj	10,166	3	,776	483	13,109	,000
s3_sobes_divide	74,039	3	1,345	483	55,043	,000
s4_sobes_text	,048	3	,034	483	1,428	,234
s4_sobes_audio	38,346	3	,809	483	47,424	,000
s4_sobes_video	103,930	3	1,427	483	72,829	,000
s4_sobes_audcall	82,120	3	1,549	483	53,014	,000
s4_sobes_vidcall	75,928	3	1,523	483	49,847	,000
s4_sobes_CAPS	48,125	3	1,149	483	41,887	,000
s4_sobes_mistakes	57,082	3	1,003	483	56,927	,000
s4_sobes_emoj	31,295	3	,780	483	40,120	,000
s4_sobes_divide	79,969	3	1,270	483	62,953	,000
s5_sobes_text	,041	3	,073	483	,563	,640
s5_sobes_audio	65,810	3	1,139	483	57,772	,000
s5_sobes_video	73,464	3	,747	483	98,342	,000
s5_sobes_audcall	43,951	3	1,593	483	27,591	,000
s5_sobes_vidcall	29,587	3	,627	483	47,215	,000
s5_sobes_CAPS	28,119	3	,878	483	32,025	,000
s5_sobes_mistakes	42,057	3	,941	483	44,700	,000
s5_sobes_emoj	58,199	3	1,269	483	45,862	,000
s5_sobes_divide	40,719	3	,843	483	48,281	,000
s6_sobes_text	,170	3	,144	483	1,185	,315
s6_sobes_audio	92,106	3	1,110	483	82,947	,000
s6_sobes_video	110,631	3	,873	483	126,727	,000
s6_sobes_audcall	49,240	3	1,023	483	48,156	,000
s6_sobes_vidcall	32,457	3	,433	483	75,015	,000
s6_sobes_CAPS	52,002	3	1,022	483	50,904	,000
s6_sobes_mistakes	60,451	3	,883	483	68,480	,000
s6_sobes_emoj	47,676	3	1,088	483	43,812	,000
s6_sobes_divide	61,539	3	,954	483	64,531	,000
s7_sobes_text	,649	3	,686	483	,947	,418
s7_sobes_audio	51,703	3	,885	483	58,406	,000
s7_sobes_video	21,661	3	,417	483	51,999	,000
s7_sobes_audcall	7,868	3	,367	483	21,466	,000
s7_sobes_vidcall	2,516	3	,115	483	21,900	,000
s7_sobes_CAPS	18,057	3	,612	483	29,485	,000
s7_sobes_mistakes	30,535	3	,776	483	39,359	,000
s7_sobes_emoj	47,634	3	1,286	483	37,030	,000
s7_sobes_divide	30,527	3	,669	483	45,597	,000
s8_sobes_text	,011	3	,040	483	,262	,853
s8_sobes_audio	100,273	3	1,035	483	96,861	,000
s8_sobes_video	103,323	3	,892	483	115,847	,000
s8_sobes_audcall	55,174	3	,999	483	55,218	,000
s8_sobes_vidcall	34,531	3	,468	483	73,721	,000
s8_sobes_CAPS	42,226	3	,861	483	49,051	,000
s8_sobes_mistakes	51,196	3	,771	483	66,442	,000
s8_sobes_emoj	41,360	3	1,006	483	41,109	,000
s8_sobes_divide	54,902	3	,915	483	59,988	,000
s9_sobes_text	,029	3	,079	483	,370	,774
s9_sobes_audio	98,143	3	1,174	483	83,620	,000
s9_sobes_video	129,732	3	,998	483	130,033	,000
s9_sobes_audcall	69,993	3	1,132	483	61,828	,000
s9_sobes_vidcall	49,081	3	,620	483	79,161	,000
s9_sobes_CAPS	61,954	3	1,046	483	59,220	,000
s9_sobes_mistakes	60,834	3	,935	483	65,072	,000
s9_sobes_emoj	45,005	3	,981	483	45,872	,000
s9_sobes_divide	70,314	3	1,152	483	61,040	,000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.
Таблица 55. ANOVA для четырехкластерной модели со значимыми переменными, оценка собеседника
	Cluster	Error	F	Sig.
	Mean Square	df	Mean Square	df
s1_sobes_audio	49,612	3	,969	483	51,198	,000
s1_sobes_video	86,087	3	,889	483	96,869	,000
s1_sobes_audcall	31,986	3	1,464	483	21,852	,000
s1_sobes_vidcall	37,762	3	,760	483	49,689	,000
s1_sobes_CAPS	35,293	3	1,127	483	31,310	,000
s1_sobes_mistakes	47,965	3	,888	483	54,019	,000
s1_sobes_emoj	29,452	3	,908	483	32,443	,000
s1_sobes_divide	72,759	3	1,094	483	66,504	,000
s2_sobes_audio	52,345	3	,867	483	60,365	,000
s2_sobes_video	105,545	3	1,008	483	104,655	,000
s2_sobes_audcall	56,843	3	1,529	483	37,178	,000
s2_sobes_vidcall	48,802	3	,846	483	57,697	,000
s2_sobes_CAPS	56,297	3	1,139	483	49,427	,000
s2_sobes_mistakes	49,828	3	,926	483	53,834	,000
s2_sobes_emoj	37,919	3	,935	483	40,545	,000
s2_sobes_divide	74,726	3	1,169	483	63,934	,000
s3_sobes_audio	62,683	3	1,124	483	55,791	,000
s3_sobes_video	124,699	3	1,403	483	88,891	,000
s3_sobes_audcall	67,003	3	,957	483	69,999	,000
s3_sobes_vidcall	47,033	3	,691	483	68,062	,000
s3_sobes_CAPS	25,180	3	1,039	483	24,243	,000
s3_sobes_mistakes	40,245	3	1,184	483	33,979	,000
s3_sobes_emoj	11,042	3	,770	483	14,338	,000
s3_sobes_divide	71,486	3	1,361	483	52,526	,000
s4_sobes_audio	39,307	3	,803	483	48,973	,000
s4_sobes_video	104,080	3	1,426	483	72,981	,000
s4_sobes_audcall	82,065	3	1,549	483	52,967	,000
s4_sobes_vidcall	77,233	3	1,515	483	50,975	,000
s4_sobes_CAPS	47,942	3	1,150	483	41,687	,000
s4_sobes_mistakes	54,773	3	1,017	483	53,854	,000
s4_sobes_emoj	31,349	3	,780	483	40,208	,000
s4_sobes_divide	76,805	3	1,290	483	59,540	,000
s5_sobes_audio	65,123	3	1,143	483	56,956	,000
s5_sobes_video	72,996	3	,750	483	97,337	,000
s5_sobes_audcall	42,836	3	1,600	483	26,774	,000
s5_sobes_vidcall	29,311	3	,628	483	46,648	,000
s5_sobes_CAPS	29,162	3	,872	483	33,459	,000
s5_sobes_mistakes	43,475	3	,932	483	46,644	,000
s5_sobes_emoj	60,140	3	1,257	483	47,846	,000
s5_sobes_divide	40,051	3	,848	483	47,256	,000
s6_sobes_audio	92,293	3	1,109	483	83,202	,000
s6_sobes_video	110,322	3	,875	483	126,095	,000
s6_sobes_audcall	48,723	3	1,026	483	47,501	,000
s6_sobes_vidcall	32,563	3	,432	483	75,376	,000
s6_sobes_CAPS	51,499	3	1,025	483	50,258	,000
s6_sobes_mistakes	58,576	3	,894	483	65,492	,000
s6_sobes_emoj	48,088	3	1,086	483	44,295	,000
s6_sobes_divide	59,717	3	,965	483	61,886	,000
s7_sobes_audio	51,975	3	,884	483	58,826	,000
s7_sobes_video	21,642	3	,417	483	51,939	,000
s7_sobes_audcall	7,824	3	,367	483	21,330	,000
s7_sobes_vidcall	2,517	3	,115	483	21,916	,000
s7_sobes_CAPS	18,143	3	,612	483	29,652	,000
s7_sobes_mistakes	31,190	3	,772	483	40,415	,000
s7_sobes_emoj	49,107	3	1,277	483	38,448	,000
s7_sobes_divide	30,568	3	,669	483	45,677	,000
s8_sobes_audio	100,266	3	1,035	483	96,851	,000
s8_sobes_video	103,760	3	,889	483	116,692	,000
s8_sobes_audcall	54,649	3	1,002	483	54,514	,000
s8_sobes_vidcall	34,693	3	,467	483	74,227	,000
s8_sobes_CAPS	42,257	3	,861	483	49,099	,000
s8_sobes_mistakes	50,545	3	,775	483	65,253	,000
s8_sobes_emoj	41,919	3	1,003	483	41,808	,000
s8_sobes_divide	53,931	3	,921	483	58,541	,000
s9_sobes_audio	98,460	3	1,172	483	84,031	,000
s9_sobes_video	130,840	3	,991	483	132,055	,000
s9_sobes_audcall	69,170	3	1,137	483	60,826	,000
s9_sobes_vidcall	49,116	3	,620	483	79,246	,000
s9_sobes_CAPS	62,062	3	1,046	483	59,361	,000
s9_sobes_mistakes	60,193	3	,939	483	64,114	,000
s9_sobes_emoj	46,247	3	,973	483	47,512	,000
s9_sobes_divide	69,058	3	1,160	483	59,546	,000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.
Таблица 56. ANOVA для пятикластерной модели, оценка собеседника
	Cluster	Error	F	Sig.
	Mean Square	df	Mean Square	df
s1_sobes_text	,348	4	,177	482	1,960	,099
s1_sobes_audio	40,078	4	,947	482	42,311	,000
s1_sobes_video	64,854	4	,888	482	73,022	,000
s1_sobes_audcall	34,034	4	1,383	482	24,601	,000
s1_sobes_vidcall	40,330	4	,662	482	60,932	,000
s1_sobes_CAPS	36,240	4	1,048	482	34,565	,000
s1_sobes_mistakes	48,941	4	,782	482	62,573	,000
s1_sobes_emoj	29,822	4	,846	482	35,271	,000
s1_sobes_divide	69,244	4	,975	482	71,053	,000
s2_sobes_text	,126	4	,065	482	1,941	,102
s2_sobes_audio	35,675	4	,899	482	39,696	,000
s2_sobes_video	77,374	4	1,025	482	75,457	,000
s2_sobes_audcall	62,699	4	1,366	482	45,913	,000
s2_sobes_vidcall	42,570	4	,798	482	53,344	,000
s2_sobes_CAPS	47,313	4	1,099	482	43,047	,000
s2_sobes_mistakes	50,633	4	,817	482	61,940	,000
s2_sobes_emoj	35,243	4	,881	482	40,016	,000
s2_sobes_divide	68,867	4	1,065	482	64,675	,000
s3_sobes_text	,341	4	,117	482	2,918	,021
s3_sobes_audio	38,028	4	1,200	482	31,678	,000
s3_sobes_video	82,620	4	1,496	482	55,218	,000
s3_sobes_audcall	54,107	4	,927	482	58,355	,000
s3_sobes_vidcall	39,300	4	,659	482	59,631	,000
s3_sobes_CAPS	25,420	4	,987	482	25,767	,000
s3_sobes_mistakes	46,301	4	1,053	482	43,966	,000
s3_sobes_emoj	11,390	4	,746	482	15,270	,000
s3_sobes_divide	64,367	4	1,275	482	50,502	,000
s4_sobes_text	,034	4	,034	482	,994	,410
s4_sobes_audio	23,752	4	,852	482	27,883	,000
s4_sobes_video	80,697	4	1,407	482	57,346	,000
s4_sobes_audcall	70,390	4	1,479	482	47,586	,000
s4_sobes_vidcall	72,511	4	1,397	482	51,897	,000
s4_sobes_CAPS	48,376	4	1,049	482	46,101	,000
s4_sobes_mistakes	59,765	4	,864	482	69,162	,000
s4_sobes_emoj	29,665	4	,730	482	40,623	,000
s4_sobes_divide	78,033	4	1,123	482	69,480	,000
s5_sobes_text	,016	4	,073	482	,217	,929
s5_sobes_audio	53,074	4	1,111	482	47,787	,000
s5_sobes_video	52,608	4	,769	482	68,391	,000
s5_sobes_audcall	44,406	4	1,501	482	29,578	,000
s5_sobes_vidcall	29,473	4	,568	482	51,934	,000
s5_sobes_CAPS	25,635	4	,842	482	30,440	,000
s5_sobes_mistakes	38,922	4	,882	482	44,151	,000
s5_sobes_emoj	49,948	4	1,219	482	40,962	,000
s5_sobes_divide	37,400	4	,788	482	47,449	,000
s6_sobes_text	,096	4	,144	482	,664	,617
s6_sobes_audio	70,361	4	1,102	482	63,843	,000
s6_sobes_video	79,439	4	,904	482	87,862	,000
s6_sobes_audcall	43,921	4	,967	482	45,438	,000
s6_sobes_vidcall	31,903	4	,371	482	86,031	,000
s6_sobes_CAPS	39,827	4	1,017	482	39,168	,000
s6_sobes_mistakes	44,765	4	,889	482	50,335	,000
s6_sobes_emoj	39,903	4	1,056	482	37,786	,000
s6_sobes_divide	59,267	4	,847	482	69,989	,000
s7_sobes_text	,582	4	,686	482	,849	,495
s7_sobes_audio	36,647	4	,905	482	40,505	,000
s7_sobes_video	18,255	4	,401	482	45,551	,000
s7_sobes_audcall	12,586	4	,312	482	40,366	,000
s7_sobes_vidcall	3,810	4	,099	482	38,431	,000
s7_sobes_CAPS	14,840	4	,603	482	24,615	,000
s7_sobes_mistakes	27,236	4	,741	482	36,733	,000
s7_sobes_emoj	37,318	4	1,276	482	29,250	,000
s7_sobes_divide	28,293	4	,626	482	45,190	,000
s8_sobes_text	,017	4	,040	482	,431	,786
s8_sobes_audio	72,498	4	1,060	482	68,405	,000
s8_sobes_video	74,571	4	,918	482	81,233	,000
s8_sobes_audcall	51,739	4	,915	482	56,525	,000
s8_sobes_vidcall	26,270	4	,466	482	56,337	,000
s8_sobes_CAPS	30,557	4	,872	482	35,048	,000
s8_sobes_mistakes	38,752	4	,769	482	50,379	,000
s8_sobes_emoj	30,352	4	1,014	482	29,941	,000
s8_sobes_divide	49,504	4	,848	482	58,377	,000
s9_sobes_text	,120	4	,078	482	1,536	,191
s9_sobes_audio	74,303	4	1,170	482	63,489	,000
s9_sobes_video	92,223	4	1,042	482	88,517	,000
s9_sobes_audcall	62,996	4	1,047	482	60,153	,000
s9_sobes_vidcall	44,280	4	,559	482	79,167	,000
s9_sobes_CAPS	46,152	4	1,051	482	43,915	,000
s9_sobes_mistakes	53,776	4	,869	482	61,871	,000
s9_sobes_emoj	39,695	4	,934	482	42,507	,000
s9_sobes_divide	66,183	4	1,043	482	63,472	,000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.
Таблица 57. ANOVA для пятикластерной модели со значимыми переменными, оценка собеседника
	Cluster	Error	F	Sig.
	Mean Square	df	Mean Square	df
s1_sobes_audio	39,346	4	,953	482	41,274	,000
s1_sobes_video	63,760	4	,897	482	71,063	,000
s1_sobes_audcall	34,439	4	1,380	482	24,954	,000
s1_sobes_vidcall	39,326	4	,670	482	58,675	,000
s1_sobes_CAPS	36,546	4	1,046	482	34,940	,000
s1_sobes_mistakes	49,857	4	,775	482	64,368	,000
s1_sobes_emoj	29,611	4	,847	482	34,949	,000
s1_sobes_divide	68,294	4	,982	482	69,515	,000
s2_sobes_audio	37,080	4	,887	482	41,802	,000
s2_sobes_video	78,858	4	1,013	482	77,840	,000
s2_sobes_audcall	61,144	4	1,378	482	44,356	,000
s2_sobes_vidcall	42,274	4	,800	482	52,810	,000
s2_sobes_CAPS	48,573	4	1,089	482	44,618	,000
s2_sobes_mistakes	51,516	4	,810	482	63,591	,000
s2_sobes_emoj	34,836	4	,884	482	39,404	,000
s2_sobes_divide	68,431	4	1,068	482	64,048	,000
s3_sobes_text	,337	4	,117	482	2,888	,022
s3_sobes_audio	40,246	4	1,182	482	34,049	,000
s3_sobes_video	86,257	4	1,466	482	58,836	,000
s3_sobes_audcall	52,113	4	,944	482	55,220	,000
s3_sobes_vidcall	37,536	4	,674	482	55,717	,000
s3_sobes_CAPS	25,292	4	,988	482	25,608	,000
s3_sobes_mistakes	47,229	4	1,045	482	45,178	,000
s3_sobes_emoj	11,862	4	,742	482	15,987	,000
s3_sobes_divide	65,946	4	1,261	482	52,279	,000
s4_sobes_audio	24,874	4	,843	482	29,523	,000
s4_sobes_video	81,777	4	1,398	482	58,486	,000
s4_sobes_audcall	69,779	4	1,484	482	47,012	,000
s4_sobes_vidcall	72,551	4	1,397	482	51,938	,000
s4_sobes_CAPS	48,472	4	1,049	482	46,227	,000
s4_sobes_mistakes	59,939	4	,863	482	69,480	,000
s4_sobes_emoj	27,473	4	,748	482	36,707	,000
s4_sobes_divide	77,663	4	1,126	482	68,962	,000
s5_sobes_audio	54,561	4	1,098	482	49,677	,000
s5_sobes_video	52,268	4	,772	482	67,701	,000
s5_sobes_audcall	44,530	4	1,500	482	29,681	,000
s5_sobes_vidcall	31,886	4	,547	482	58,243	,000
s5_sobes_CAPS	24,848	4	,849	482	29,280	,000
s5_sobes_mistakes	40,177	4	,871	482	46,119	,000
s5_sobes_emoj	49,595	4	1,222	482	40,575	,000
s5_sobes_divide	36,749	4	,794	482	46,307	,000
s6_sobes_audio	71,682	4	1,091	482	65,695	,000
s6_sobes_video	79,122	4	,907	482	87,258	,000
s6_sobes_audcall	44,702	4	,960	482	46,558	,000
s6_sobes_vidcall	33,609	4	,357	482	94,228	,000
s6_sobes_CAPS	39,510	4	1,019	482	38,756	,000
s6_sobes_mistakes	46,318	4	,876	482	52,846	,000
s6_sobes_emoj	39,231	4	1,062	482	36,954	,000
s6_sobes_divide	58,707	4	,851	482	68,950	,000
s7_sobes_audio	35,312	4	,916	482	38,558	,000
s7_sobes_video	17,602	4	,406	482	43,337	,000
s7_sobes_audcall	12,093	4	,316	482	38,279	,000
s7_sobes_vidcall	3,670	4	,100	482	36,586	,000
s7_sobes_CAPS	13,817	4	,611	482	22,598	,000
s7_sobes_mistakes	27,195	4	,742	482	36,660	,000
s7_sobes_emoj	35,701	4	1,289	482	27,691	,000
s7_sobes_divide	25,927	4	,646	482	40,152	,000
s8_sobes_audio	71,957	4	1,064	482	67,609	,000
s8_sobes_video	74,818	4	,916	482	81,685	,000
s8_sobes_audcall	49,269	4	,936	482	52,648	,000
s8_sobes_vidcall	25,206	4	,475	482	53,053	,000
s8_sobes_CAPS	29,145	4	,884	482	32,985	,000
s8_sobes_mistakes	39,624	4	,762	482	52,003	,000
s8_sobes_emoj	29,039	4	1,025	482	28,341	,000
s8_sobes_divide	46,462	4	,873	482	53,206	,000
s9_sobes_audio	76,111	4	1,155	482	65,878	,000
s9_sobes_video	94,386	4	1,024	482	92,181	,000
s9_sobes_audcall	60,436	4	1,069	482	56,562	,000
s9_sobes_vidcall	42,614	4	,573	482	74,350	,000
s9_sobes_CAPS	49,300	4	1,025	482	48,105	,000
s9_sobes_mistakes	56,590	4	,846	482	66,906	,000
s9_sobes_emoj	40,007	4	,931	482	42,960	,000
s9_sobes_divide	67,400	4	1,033	482	65,271	,000
The F tests should be used only for descriptive purposes because the clusters have been chosen to maximize the differences among cases in different clusters. The observed significance levels are not corrected for this and thus cannot be interpreted as tests of the hypothesis that the cluster means are equal.

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