id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
eistud-26381	Mikelsone, Elina; Spilbergs, Aivars; Volkova, Tatjana; Liela, Elita; Frisfelds, Janis	Idea Management System Application Type Impact on Idea Quantity	2020	15	.pdf	application/pdf	16061	712	56	0 50 100 150 200 1-10 11-100 101-1000 1001-5000 5001-10000 >10000 Active IMS Pasive IMS Internal IMS External IMS Mixed IMS 0 20 40 60 80 100 120 140 160 Active IMS Pasive IMS 0 20 40 60 80 100 120 140 160 180 Internal IMS External IMS 0 20 40 60 80 100 120 140 160 180 Internal IMS Mixed IMS 0 20 40 60 80 100 120 140 External IMS Mixed IMS Source: created by author’s Figure 3 Respondents frequency distribution for idea quantity based on sample data 199 European Integrat ion Studies 2020/14 The standard deviation of grouped data is calculated as follows: for the unknown parameter, the process is called point estimation. As sample sizes un standard deviations differs, the test statistics are calculated as follows, (Moore et al. 2016): 0 20 40 60 80 100 120 140 160 Active IMS Pasive IMS 0 20 40 60 80 100 120 140 160 180 Internal IMS External IMS 0 20 40 60 80 100 120 140 160 180 Internal IMS Mixed IMS 0 20 40 60 80 100 120 140 External IMS Mixed IMS 201 European Integrat ion Studies 2020/14 0 50 100 150 200 1-10 11-100 101-1000 1001-5000 5001-10000 >10000 Active IMS Pasive IMS Internal IMS External IMS Mixed IMS 0 20 40 60 80 100 120 140 160 Active IMS Pasive IMS 0 20 40 60 80 100 120 140 160 180 Internal IMS External IMS 0 20 40 60 80 100 120 140 160 180 Internal IMS Mixed IMS 0 20 40 60 80 100 120 140 External IMS Mixed IMS Figure 8 Respondents frequency distribution for idea quantity based on sample data 0 50 100 150 200 1-10 11-100 101-1000 1001-5000 5001-10000 >10000 Active IMS Pasive IMS Internal IMS External IMS Mixed IMS 0 20 40 60 80 100 120 140 160 Active IMS Pasive IMS 0 20 40 60 80 100 120 140 160 180 Internal IMS External IMS 0 20 40 60 80 100 120 140 160 180 Internal IMS Mixed IMS 0 20 40 60 80 100 120 140 External IMS Mixed IMS Source: created by author’s As sample sizes un standard deviations differs, the test statistics are calculated as follows, (Moore et al. 2016): 𝑡𝑡 = �̅� � �̅� ��� � �� � ��� �� (9) where �̅�𝑥� and �̅�𝑥� means of comparable sample variables, 𝑠𝑠�� and 𝑠𝑠�� variance (standard deviation squared) of comparable samples variables, 𝑛𝑛� and 𝑛𝑛� sample sizes of comparable samples and compared with t-statistics critical values 𝑡𝑡�,�, where degrees of freedom (𝑑𝑑𝑑𝑑) for the t-test statistics are calculated as follows: 𝑑𝑑𝑑𝑑 = ���� � �� � � ��� � �� �� � ��� � ��� � ������ � � ��� ��� � ������ (10)	cache/eistud-26381.pdf	txt/eistud-26381.txt