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Table 1 Goodness of fit statistics for the unidimensional graded response model

From: Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries

Country

C2

p

RMSEA [90% CI]

SRMR

TLI

CFI

ALB—Albania

221.415

.000

.078 [.069; .087]

.053

.951

.965

ARM—Armenia

890.237

.000

.106 [.100; .112]

.081

.879

.913

AUT—Austria

239.046

.000

.052 [.046; .058]

.033

.978

.984

AZE—Azerbaijan

443.771

.000

.070 [.064; .076]

.062

.965

.975

BEL-FL—Belgium- Flemish

460.351

.000

.072 [.066; .078]

.048

.933

.952

BEL-FR—Belgium-French

839.095

.000

.087 [.082; .093]

.055

.908

.934

BGR—Bulgaria

2725.184

.000

.172 [.167; .178]

.132

.576

.697

CAN—Canada

1384.652

.000

.074 [.071; .078]

.044

.966

.976

CHE—Switzerland

1674.418

.000

.106 [.102; .110]

.064

.906

.933

CZE—Czechia

817.068

.000

.061 [.057; .064]

.046

.960

.971

DEU—Germany

661.651

.000

.086 [.081; .092]

.054

.933

.952

DNK—Denmark

469.405

.000

.085 [.079; .092]

.055

.938

.955

ESP—Spain

357.661

.000

.063 [.057; .069]

.043

.966

.976

EST—Estonia

927.106

.000

.098 [.093; .104]

.062

.943

.959

FIN—Finland

793.860

.000

.112 [.105; .118]

.062

.934

.953

FRA—France

795.871

.000

.067 [.063; .071]

.045

.953

.966

GB-ENG England

329.519

.000

.069 [.062; .076]

.043

.961

.972

GB-SCT Scotland

565.362

.000

.075 [.069; .080]

.048

.963

.974

GB-WLS Wales

1379.060

.000

.067 [.064; .070]

.040

.966

.976

GEO—Georgia

1247.363

.000

.128 [.122; .134]

.085

.914

.938

GRC—Greece

1022.136

.000

.115 [.109; .121]

.071

.878

.913

GRL—Greenland

250.647

.000

.107 [.096; .119]

.069

.917

.941

HRV—Croatia

1056.063

.000

.104 [.099; .110]

.075

.924

.946

HUN—Hungary

1062.855

.000

.119 [.113; .125]

.066

.920

.943

IRL—Ireland

408.206

.000

.073 [.066; .079]

.044

.964

.974

ISL—Iceland

1115.015

.000

.090 [.085; .094]

.045

.959

.970

ISR—Israel

5048.693

.000

.181 [.176; .185]

.084

.868

.906

ITA—Italy

1701.896

.000

.143 [.138; .149]

.090

.840

.885

KAZ—Kazakhstan

227.914

.000

.048 [.043; .054]

.040

.983

.988

LTU—Lithuania

847.127

.000

.106 [.100; .112]

.070

.935

.953

LUX—Luxembourg

503.568

.000

.078 [.072; .084]

.049

.939

.956

LVA—Latvia

669.419

.000

.087 [.081; .092]

.049

.957

.969

MDA—Republic of Moldova

613.553

.000

.082 [.076; .087]

.052

.933

.952

MLT—Malta

748.913

.000

.121 [.114; .128]

.065

.907

.934

NLD—Netherland

475.433

.000

.070 [.065; .075]

.042

.963

.973

NOR—Norway

367.071

.000

.076 [.069; .083]

.048

.958

.970

POL—Poland

1096.477

.000

.103 [.098; .108]

.068

.905

.932

PRT—Portugal

667.676

.000

.073 [.069; .078]

.054

.952

.966

ROU—Romania

594.334

.000

.081 [.075; .087]

.053

.941

.958

RUS—Russian Federation

1300.431

.000

.124 [.118; .130]

.069

.913

.938

SRB—Serbia

410.702

.000

.072 [.066; .078]

.049

.954

.967

SVK—Slovakia

491.252

.000

.073 [.067; .079]

.045

.941

.958

SVN—Slovenia

1055.592

.000

.097 [.092; .102]

.070

.938

.956

SWE—Sweden

504.601

.000

.078 [.072; .084]

.043

.960

.971

TUR—Turkey

1217.266

.000

.103 [.098; .108]

.066

.888

.920

UKR—Ukraine

1404.931

.000

.105 [.100; .109]

.064

.913

.938

  1. Notes. df 20, RMSEA Root mean squared error of approximation, SRMR Standardized root mean square residual, TLI Tucker-Lewis index, CFI Comparative fit index