Language Testing in Asia

Table 3 Factor loadings for the TF (n = 360, 101 items) or rotated component matrix

From: Fairness in classroom assessment: development and validation of a questionnaire

Items	Component
Items	1	2	3	4	5	6	7	8	9	10
Q1			.832
Q2			.821
Q3			.857
Q4	.837
Q5	.851
Q6	.835
Q7	.845
Q8	.845
Q9	.832
Q10						.844
Q11						.855
Q12						.844
Q13		.847
Q14		.834
Q15		.830
Q16		.835
Q17		.830
Q18		.860
Q19		.839
Q20				.836
Q21				.839
Q22				.863
Q23				.851
Q24				.828
Q25				.831
Q26							.865
Q27							.852
Q28							.842
Q29							.854
Q30								.872
Q31								.871
Q32								.861
Q33								.859
Q34										.894
Q35										.857
Q36									.868
Q37									.879
Q38									.928
Q39					.854
Q40					.849
Q41					.848
Q42					.828
Q43					.873
Q44	.846
Q45	.825
Q46	.835
Q47	.850
Q48	.839
Q49			.822
Q50			.836
Q51			.843
Q52			.848
Q53			.837
Q54			.818
Q55			.831
Q56	.846
Q57	.843
Q58						.814
Q59						.858
Q60						.835
Q61		.829
Q62		.845
Q63		.832
Q64						.837
Q65		.836
Q66		.855
Q67		.844
Q68		.846
Q69		.839
Q70				.839
Q71				.858
Q72							.871
Q73										.881
Q74									.892
Q75					.846
Q76					.922
Q77					.852
Q78					.844
Q79					.843
Q80								.869
Q81							.846
Q82				.844
Q83				.834
Q84		.844
Q85		.853
Q86			.829
Q87			.816
Q88			.823
Q89			.837
Q90			.819
Q91			.822
Q92			.817
Q93			.836
Q94	.845
Q95	.853
Q96	.841
Q97	.852
Q98	.827
Q99	.829
Q100	.824
Q101	.830
Q102	.820
Q103						.840
Q104		.825
Q105				.832
Q106		.841
Q107		.842
Q108	.839
Q109		.838
Q110	.849

A extraction method: principal component analysis
A rotation method: varimax with Kaiser normalization

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