Evaluation of physical fitness and health of young children aged between 3 and 6 based on cluster and factor analyses

Table 4 Factor analysis eigenvalues

Item	Total	Factor	Variance	Variance %	Cumulative %
X1	5.10	1	5.10	34.03	34.03
X2	1.99	2	1.99	13.24	47.26
X3	1.38	3	1.38	9.22	56.49
X4	1.11	4	1.11	7.39	63.88
X5	0.95	5	0.95	6.31	70.19
X6	0.78	6	0.78	5.21	75.40
X7	0.70	7	0.70	4.69	80.09
X8	0.68	8	0.68	4.56	84.65
X9	0.52	9	0.52	3.50	88.15
X10	0.45	10	0.45	3.02	91.17
X11	0.39	11	0.39	2.60	93.77
X12	0.37	12	0.37	2.43	96.20
X13	0.33	13	0.33	2.20	98.40
X14	0.24	14	0.24	1.58	99.98
X15	0.00	15	0.00	0.03	100

Total: The degree of contribution of each factor before the rotation of the indicator. The sum of this value is matched to the number of items, with larger values representing greater factor contribution.
Variance %: It is mainly used to determine how many factors are appropriate to extract. The larger the variance explained indicates that the factor contains more information about the original data.
Cumulative %: The idea is to look at the contribution of the factors to the explanation of the variable (which can be interpreted as how many factors are actually needed to express the variable as 100%).

ISSN: 1471-2458