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An IERI – International Educational Research Institute Journal

Table 6 Inequalities in effective teachers scale

From: Inequality in remote learning quality during COVID-19: student perspectives and mitigating factors

 

DNKa

ETHa

KENa

RUS

SVN

ARE

UZB

Socioeconomic status: baseline = “Low”

 Medium

0.01 (0.13)

0.01 (0.10)

0.41* (0.11)

− 0.08 (0.09)

− 0.11 (0.15)

0.12 (0.15)

0.17* (0.07)

 High

0.02 (0.14)

− 0.29 (0.18)

1.48* (0.66)

− 0.08 (0.11)

− 0.13 (0.15)

0.12 (0.15)

0.34* (0.08)

 N

1179

1554

1161

3205

2446

2460

2518

Urbanicity: baseline = “Small town”

 Big town or city

− 0.13 (0.10)

− 0.14 (0.18)

0.78* (0.34)

− 0.06 (0.09)

− 0.09 (0.08)

− 0.08 (0.07)

− 0.02 (0.13)

 N

760

1393

1083

3181

2326

2335

2519

Gender: baseline = “Boy”

 Girl

− 0.12* (0.05)

− 0.00 (0.07)

− 0.13 (0.12)

− 0.11* (0.05)

0.01 (0.06)

− 0.02 (0.07)

0.15* (0.04)

 N

1173

1497

1129

3207

2439

2479

2519

Home language: baseline = “Language of Instruction”

 Other language

− 0.19 (0.11)

0.37* (0.12)

− 0.08 (0.18)

0.10 (0.11)

0.03 (0.09)

− 0.21* (0.06)

0.02 (0.11)

 N

1171

1505

1128

3197

2430

2431

2513

  1. Coefficients for groups come from separate regressions. Standard errors shown in parentheses. Probability weights have been applied and jackknife standard errors have been calculated in all countries except in Denmark, Ethiopia, and Kenya. In Denmark, Ethiopia, and Kenya standard errors have been clustered by school
  2. DNK = Denmark, ETH = Ethiopia, KEN = Kenya, RUS = Russian Federation, SVN = Slovenia, ARE = United Arab Emirates, UZB = Uzbekistan
  3. aData may not be representative of target population
  4. *p < 0.05