Final hierarchical linear regression models predicting health status in each country; weighted data.

Hierarchical regression analyses for psychosocial resources predicting depression.

Yi-Long Yang (549825)
Li Liu (75607)
Meng-Yao Li (540306)
Meng Shi (201948)
Lie Wang (117337)

May 2016

Hierarchical regression analyses for psychosocial resources predicting depression.</p

Hierarchical moderated regression analysis summary for group status and BIS-11 predicting IUS scores.

Julia Garami (4288141)
Paul Haber (528064)
Catherine E. Myers (305069)
Michael T. Allen (4240327)
Blazej Misiak (3555674)
Dorota Frydecka (4288144)
Ahmed A. Moustafa (305066)

July 2017

Hierarchical moderated regression analysis summary for group status and BIS-11 predicting IUS sco...

Summary of the final step of hierarchical regression models predicting outcomes (science identity, deep interest, & persistence intentions) from relevant predictors and controls.

Paul R. Hernandez (4560274)
Brittany Bloodhart (671197)
Rebecca T. Barnes (633895)
Amanda S. Adams (4560268)
Sandra M. Clinton (4560271)
Ilana Pollack (4560265)
Elaine Godfrey (4560262)
Melissa Burt (4560277)
Emily V. Fischer (4560259)

November 2017

Summary of the final step of hierarchical regression models predicting outcomes (science identity...

Multiple linear regression model with health status as dependent variable; weighted data.

Laura Alejandra Rico-Uribe (845421)
Francisco Félix Caballero (144119)
Beatriz Olaya (406275)
Beata Tobiasz-Adamczyk (670540)
Seppo Koskinen (65668)
Matilde Leonardi (670539)
Josep Maria Haro (261375)
Somnath Chatterji (89621)
José Luis Ayuso-Mateos (144126)
Marta Miret (144117)

January 2016

Multiple linear regression model with health status as dependent variable; weighted data.</p

Hierarchical regression analyses for variables predicting health-related quality of life, psychological distress, and somatic symptoms.

Jamie Davern (5802068)
Aisling T. O’Donnell (5802071)

September 2018

Hierarchical regression analyses for variables predicting health-related quality of life, psychologi...

Hierarchical regression analysis on patients’ health-related quality of life (N = 178).

Yi-Cheng Hu (16734162)
Shih-Ying Chen (2872586)
Wen-Chi Chou (36444)
Jen-Shi Chen (8069600)
Li-Chueh Weng (4030628)
Pei-Kwei Tsay (16734165)
Woung-Ru Tang (3804991)

August 2023

Hierarchical regression analysis on patients’ health-related quality of life (N = 178).</p

Standardized regression coefficients (betas) from multi-level models predicting health variables.

Jürgen Margraf (646255)
Kristen Lavallee (2558251)
XiaoChi Zhang (2558248)
Silvia Schneider (2558254)

March 2016

Standardized regression coefficients (betas) from multi-level models predicting health variables....

Hierarchical linear regression model for effective predictors of length of stay and hospital treatment cost.

Ming-Jang Lee (721766)
Chao-Ju Chen (619863)
King-Teh Lee (105939)
Hon-Yi Shi (105917)

April 2015

Hierarchical linear regression model for effective predictors of length of stay and hospital trea...

Hierarchical multiple regression models for overall functioning, quality of life and depressive symptoms.

Annemarie P. M. Stiekema (2146327)
Edith J. Liemburg (144351)
Lisette van der Meer (144354)
Stynke Castelein (663802)
Roy Stewart (647455)
Jaap van Weeghel (532144)
André Aleman (91646)
Richard Bruggeman (144361)

February 2016

Hierarchical multiple regression models for overall functioning, quality of life and depressive s...

Results of Linear regressions for health knowledge score (multivariable model).

Joseph Sam Kanu (605433)
Yuan Tang (406486)
Yawen Liu (469311)

August 2014

aChange in the average health knowledge score for a unit increase in the continuous variables or ...

Linear regression model for the predictors of health worker motivation score.

Miho Sato (182621)
Deogratias Maufi (4006781)
Upendo John Mwingira (4006784)
Melkidezek T. Leshabari (4006793)
Mayumi Ohnishi (4006790)
Sumihisa Honda (4006787)

May 2017

Linear regression model for the predictors of health worker motivation score.</p

Hierarchical linear regressions for demographics, post-traumatic growth (PTG), and physical-post traumatic growth subscales predicting quality of life, depression and anxiety.

Deirdre M. J. Walsh (4854808)
Ann Marie Groarke (5150687)
Todd G. Morrison (2608015)
Garrett Durkan (5150684)
Eamonn Rogers (4854802)
Francis J. Sullivan (627716)

April 2018

Hierarchical linear regressions for demographics, post-traumatic growth (PTG), and physical-post ...

Summary of multiple regression analysis for variables predicting health scores for SF-36 domains in the UK group.

Nikolien S. Van de Ven (6693926)
Owen Ngalamika (4782690)
Kevin Martin (3007044)
Kevin A. Davies (381365)
Jaime H. Vera (6693929)

May 2019

Summary of multiple regression analysis for variables predicting health scores for SF-36 domains in ...

Hierarchical linear regression for exploring the associated variables of PTSD symptoms.

Chunli Liu (459579)
Yi Zhang (9093)
Hong Jiang (79543)
Hui Wu (219526)

May 2017

Hierarchical linear regression for exploring the associated variables of PTSD symptoms.</p

Hierarchical linear regression model (n = 289) with depression as dependent variable.

Natalie Uhlenbusch (6383615)
Bernd Löwe (516211)
Martin Härter (374186)
Christoph Schramm (56055)
Christina Weiler-Normann (3207360)
Miriam K. Depping (6383618)

February 2019

Hierarchical linear regression model (n = 289) with depression as dependent variable.</p

Hierarchical regression analyses for psychosocial resources predicting depression.

Yi-Long Yang (549825)
Li Liu (75607)
Meng-Yao Li (540306)
Meng Shi (201948)
Lie Wang (117337)

May 2016

Hierarchical regression analyses for psychosocial resources predicting depression.</p

Hierarchical moderated regression analysis summary for group status and BIS-11 predicting IUS scores.

Julia Garami (4288141)
Paul Haber (528064)
Catherine E. Myers (305069)
Michael T. Allen (4240327)
Blazej Misiak (3555674)
Dorota Frydecka (4288144)
Ahmed A. Moustafa (305066)

July 2017

Hierarchical moderated regression analysis summary for group status and BIS-11 predicting IUS sco...

Summary of the final step of hierarchical regression models predicting outcomes (science identity, deep interest, & persistence intentions) from relevant predictors and controls.

Paul R. Hernandez (4560274)
Brittany Bloodhart (671197)
Rebecca T. Barnes (633895)
Amanda S. Adams (4560268)
Sandra M. Clinton (4560271)
Ilana Pollack (4560265)
Elaine Godfrey (4560262)
Melissa Burt (4560277)
Emily V. Fischer (4560259)

November 2017

Summary of the final step of hierarchical regression models predicting outcomes (science identity...

Multiple linear regression model with health status as dependent variable; weighted data.

Laura Alejandra Rico-Uribe (845421)
Francisco Félix Caballero (144119)
Beatriz Olaya (406275)
Beata Tobiasz-Adamczyk (670540)
Seppo Koskinen (65668)
Matilde Leonardi (670539)
Josep Maria Haro (261375)
Somnath Chatterji (89621)
José Luis Ayuso-Mateos (144126)
Marta Miret (144117)

January 2016

Multiple linear regression model with health status as dependent variable; weighted data.</p

Hierarchical regression analyses for variables predicting health-related quality of life, psychological distress, and somatic symptoms.

Jamie Davern (5802068)
Aisling T. O’Donnell (5802071)

September 2018

Hierarchical regression analyses for variables predicting health-related quality of life, psychologi...

Hierarchical regression analysis on patients’ health-related quality of life (N = 178).

Yi-Cheng Hu (16734162)
Shih-Ying Chen (2872586)
Wen-Chi Chou (36444)
Jen-Shi Chen (8069600)
Li-Chueh Weng (4030628)
Pei-Kwei Tsay (16734165)
Woung-Ru Tang (3804991)

August 2023

Hierarchical regression analysis on patients’ health-related quality of life (N = 178).</p

Standardized regression coefficients (betas) from multi-level models predicting health variables.

Jürgen Margraf (646255)
Kristen Lavallee (2558251)
XiaoChi Zhang (2558248)
Silvia Schneider (2558254)

March 2016

Standardized regression coefficients (betas) from multi-level models predicting health variables....

Hierarchical linear regression model for effective predictors of length of stay and hospital treatment cost.

Ming-Jang Lee (721766)
Chao-Ju Chen (619863)
King-Teh Lee (105939)
Hon-Yi Shi (105917)

April 2015

Hierarchical linear regression model for effective predictors of length of stay and hospital trea...

Hierarchical multiple regression models for overall functioning, quality of life and depressive symptoms.

Annemarie P. M. Stiekema (2146327)
Edith J. Liemburg (144351)
Lisette van der Meer (144354)
Stynke Castelein (663802)
Roy Stewart (647455)
Jaap van Weeghel (532144)
André Aleman (91646)
Richard Bruggeman (144361)

February 2016

Hierarchical multiple regression models for overall functioning, quality of life and depressive s...

Results of Linear regressions for health knowledge score (multivariable model).

Joseph Sam Kanu (605433)
Yuan Tang (406486)
Yawen Liu (469311)

August 2014

aChange in the average health knowledge score for a unit increase in the continuous variables or ...

Linear regression model for the predictors of health worker motivation score.

Miho Sato (182621)
Deogratias Maufi (4006781)
Upendo John Mwingira (4006784)
Melkidezek T. Leshabari (4006793)
Mayumi Ohnishi (4006790)
Sumihisa Honda (4006787)

May 2017

Linear regression model for the predictors of health worker motivation score.</p

Hierarchical linear regressions for demographics, post-traumatic growth (PTG), and physical-post traumatic growth subscales predicting quality of life, depression and anxiety.

Deirdre M. J. Walsh (4854808)
Ann Marie Groarke (5150687)
Todd G. Morrison (2608015)
Garrett Durkan (5150684)
Eamonn Rogers (4854802)
Francis J. Sullivan (627716)

April 2018

Hierarchical linear regressions for demographics, post-traumatic growth (PTG), and physical-post ...

Summary of multiple regression analysis for variables predicting health scores for SF-36 domains in the UK group.

Nikolien S. Van de Ven (6693926)
Owen Ngalamika (4782690)
Kevin Martin (3007044)
Kevin A. Davies (381365)
Jaime H. Vera (6693929)

May 2019

Summary of multiple regression analysis for variables predicting health scores for SF-36 domains in ...

Hierarchical linear regression for exploring the associated variables of PTSD symptoms.

Chunli Liu (459579)
Yi Zhang (9093)
Hong Jiang (79543)
Hui Wu (219526)

May 2017

Hierarchical linear regression for exploring the associated variables of PTSD symptoms.</p

Hierarchical linear regression model (n = 289) with depression as dependent variable.

Natalie Uhlenbusch (6383615)
Bernd Löwe (516211)
Martin Härter (374186)
Christoph Schramm (56055)
Christina Weiler-Normann (3207360)
Miriam K. Depping (6383618)

February 2019

Hierarchical linear regression model (n = 289) with depression as dependent variable.</p

Hierarchical regression analyses for psychosocial resources predicting depression.

Yi-Long Yang (549825)
Li Liu (75607)
Meng-Yao Li (540306)
Meng Shi (201948)
Lie Wang (117337)

May 2016

Hierarchical regression analyses for psychosocial resources predicting depression.</p

Hierarchical moderated regression analysis summary for group status and BIS-11 predicting IUS scores.

Julia Garami (4288141)
Paul Haber (528064)
Catherine E. Myers (305069)
Michael T. Allen (4240327)
Blazej Misiak (3555674)
Dorota Frydecka (4288144)
Ahmed A. Moustafa (305066)

July 2017

Hierarchical moderated regression analysis summary for group status and BIS-11 predicting IUS sco...

Summary of the final step of hierarchical regression models predicting outcomes (science identity, deep interest, & persistence intentions) from relevant predictors and controls.

Paul R. Hernandez (4560274)
Brittany Bloodhart (671197)
Rebecca T. Barnes (633895)
Amanda S. Adams (4560268)
Sandra M. Clinton (4560271)
Ilana Pollack (4560265)
Elaine Godfrey (4560262)
Melissa Burt (4560277)
Emily V. Fischer (4560259)

November 2017

Summary of the final step of hierarchical regression models predicting outcomes (science identity...

Final hierarchical linear regression models predicting health status in each country; weighted data.

Abstract

Extracted data

Final hierarchical linear regression models predicting health status in each country; weighted data.

Abstract

Extracted data

Related items

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