A Bayesian workflow for the analysis and reporting of international large-scale assessments: a case study using the OECD teaching and learning international survey

Kaplan, David; Harra, Kjorte

doi:10.1186/s40536-023-00189-1

Large-scale Assessments in Education

An IERI – International Educational Research Institute Journal

Table 2 Participation in any induction activities predicting teacher self-efficacy

From: A Bayesian workflow for the analysis and reporting of international large-scale assessments: a case study using the OECD teaching and learning international survey

Country	Posterior Mean (sd)	95% CI		Effective Sample Size	Rhat	Prob. \|effect\| \(\ne\) 0	Original Results\(^a\)
Country	Posterior Mean (sd)	2.5%	97.5%	Effective Sample Size	Rhat	Prob. \|effect\| \(\ne\) 0	Original Results\(^a\)
United Arab Emirates	0.49 (0.09)	0.33	0.66	959	1.0	0.50	0.48
CABA (Argentina)	0.47 (0.17)	0.13	0.77	900	1.0	0.50	0.40
Spain	0.40 (0.09)	0.24	0.56	794	1.0	0.50	0.39
Romania	0.34 (0.13)	0.10	0.59	1007	1.0	0.50	0.37
Chile	0.41 (0.18)	0.05	0.75	961	1.0	0.49	0.39
Latvia	0.30 (0.12)	0.06	0.55	1047	1.0	0.49	0.29
Czech Republic	0.25 (0.09)	0.09	0.43	855	1.0	0.49	0.27
Croatia	0.24 (0.10)	0.04	0.45	1063	1.0	0.49	0.27
Colombia	0.23 (0.10)	0.02	0.43	1184	1.0	0.49	0.10
Hungary	0.23 (0.10)	0.04	0.43	1006	1.0	0.49	0.24
Kazakhstan	0.20 (0.09)	0.02	0.36	941	1.0	0.49	0.28
England (UK)	0.36 (0.18)	0.02	0.71	845	1.0	0.48	0.36
Estonia	0.25 (0.12)	0.01	0.49	996	1.0	0.48	0.28
Belgium	0.19 (0.09)	0.02	0.38	801	1.0	0.48	0.28
Saudi Arabia	0.36 (0.19)	-0.01	0.73	1054	1.0	0.47	0.53
Shanghai (China)	0.31 (0.16)	0.01	0.62	1060	1.0	0.47	0.31
Türkiye	0.27 (0.14)	0.01	0.48	814	1.0	0.47	0.23
Netherlands	0.22 (0.13)	-0.03	0.47	934	1.0	0.46	0.24
Italy	0.20 (0.11)	-0.01	0.40	883	1.0	0.47	0.21
France	0.25 (0.16)	-0.07	0.56	1069	1.0	0.44	0.37
Finland	0.23 (0.14)	-0.03	0.50	1084	1.0	0.46	0.25
Mexico	0.20 (0.12)	-0.03	0.44	1000	1.0	0.46	0.22
Portugal	0.12 (0.08)	-0.04	0.26	996	1.0	0.44	0.12
Brazil	0.20 (0.14)	-0.07	0.47	921	1.0	0.43	0.18
Sweden	0.19 (0.15)	-0.11	0.48	1044	1.0	0.40	0.14
Slovenia	0.17 (0.14)	-0.09	0.43	1013	1.0	0.40	0.17
Japan	-0.18 (0.14)	-0.46	0.09	932	1.0	0.40	-0.08
Singapore	-0.26 (0.20)	-0.68	0.14	1090	1.0	0.40	-0.19
Australia	0.15 (0.13)	-0.10	0.41	1057	1.0	0.37	0.13
Viet Nam	0.14 (0.12)	-0.09	0.37	997	1.0	0.37	0.24
South Africa	0.19 (0.18)	-0.15	0.56	1071	1.0	0.35	0.01
Israel	0.17 (0.17)	-0.19	0.53	1094	1.0	0.33	0.24
Slovak Republic	0.11 (0.12)	-0.13	0.36	973	1.0	0.32	0.14
Denmark	0.10 (0.12)	-0.13	0.32	838	1.0	0.30	0.08
Lithuania	0.10 (0.12)	-0.13	0.34	917	1.0	0.29	0.13
Korea	0.12 (0.17)	-0.22	0.44	914	1.0	0.27	0.10
Austria	-0.08 (0.11)	-0.29	0.14	1045	1.0	0.26	-0.07
Georgia	0.16 (0.23)	-0.29	0.57	863	1.0	0.25	0.03
Norway	-0.04 (0.08)	-0.18	0.12	954	1.0	0.20	-0.04
Alberta (Canada)	0.09 (0.21)	-0.29	0.51	891	1.0	0.18	0.03
Malta	0.08 (0.20)	-0.32	0.48	946	1.0	0.16	0.21
New Zealand	-0.06 (0.17)	-0.38	0.28	1057	1.0	0.14	0.03
United States	-0.04 (0.15)	-0.32	0.24	1024	1.0	0.10	-0.22
Bulgaria	-0.01 (0.11)	-0.23	0.22	930	1.0	0.03	-0.07

\(^{a}\) Statistically significant values are indicated in bold

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