Regression coefficients (β) with corresponding t and p values for each of the fixed effect predictors in the regression analyses of the noun+adjective and determiner+noun+adjective utterances in Experiment 2.

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.

Paul Bangirana (285447)
Jeremiah Menk (285448)
Chandy C. John (285449)
Michael J. Boivin (285450)
James S. Hodges (285451)

February 2013

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.</p

β coefficients, p-values, and R2 values from multiple regression analyses with IQ estimates as dependent variables.

Glenn N. Saxe (2583397)
Daniel Calderone (4846447)
Leah J. Morales (4846444)

February 2018

β coefficients, p-values, and R2 values from multiple regr...

Univariate and multivariate regression analyses examining variables associated with sensory measures for the affected side.

Vijayakumar Palaniswamy (5892416)
Shu-Kay Ng (591212)
Nagarajan Manickaraj (5892419)
Michael Ryan (418613)
Michael Yelland (5892422)
David Rabago (5892425)
Leanne Bisset (3122601)

October 2018

Univariate and multivariate regression analyses examining variables associated with sensory measures...

Regression coefficients (β) with corresponding t and p values for each of the fixed effect predictors in the regression analyses of Experiment 1.

Niels Janssen (175188)
Horacio A. Barber (175190)

March 2012

Standard error of the regression coefficient between brackets. Degrees of Freedom associated with...

Predictors for the traditional regression model with male voices. F[2,27] = 1, Adjusted r2 = 0.02, p = 0.27.

Molly Babel (524420)
Grant McGuire (524421)
Joseph King (524422)

February 2014

Predictors for the traditional regression model with male voices. F[2,27] = 1, Adjusted r2</...

Predictors for the regression model with male voices. F[7,22] = 7.23, Adjusted r2 = 0.60, p<0.001.

Molly Babel (524420)
Grant McGuire (524421)
Joseph King (524422)

February 2014

Predictors for the regression model with male voices. F[7,22] = 7.23, Adjusted r2 = 0....

Standard multiple regression analyses with the reading comprehension of utterances as dependent variable and variables of interest at P1 as predictors (for decoding skills: accuracy scores for word and pseudoword reading).

Edouard Gentaz (23793)
Liliane Sprenger-Charolles (481781)
Anne Theurel (155100)
Pascale Colé (481782)

November 2013

Standard multiple regression analyses with the reading comprehension of utterances as dependent v...

Predictors for the traditional regression model with female voices. F[2,27] = 5.07, Adjusted r2 = 0.22, p<0.05.

Molly Babel (524420)
Grant McGuire (524421)
Joseph King (524422)

February 2014

Predictors for the traditional regression model with female voices. F[2,27] = 5.07, Adjusted r<su...

Standard multiple regression analyses with the reading comprehension of utterances as dependent variable and variables of interest at P1 and P2 as predictors (for decoding skills: fluency in pseudoword reading).

Edouard Gentaz (23793)
Liliane Sprenger-Charolles (481781)
Anne Theurel (155100)
Pascale Colé (481782)

November 2013

Standard multiple regression analyses with the reading comprehension of utterances as dependent v...

Regression coefficients, odds ratios, and derived weights for each predictor of the two outcomes according to residence before admission in the derivation cohort.

Yoshito Hirota (8466234)
Jung-ho Shin (9693278)
Noriko Sasaki (4782462)
Susumu Kunisawa (732060)
Kiyohide Fushimi (652788)
Yuichi Imanaka (63493)

February 2023

Regression coefficients, odds ratios, and derived weights for each predictor of the two outcomes acc...

The summary of the fixed effects of the final model taking confidence rating as dependent variable (N = 7787; log-likelihood = 35888).

Alberto Pisoni (713682)
Zsolt Turi (701597)
Almuth Raithel (713683)
Géza Gergely Ambrus (713684)
Ivan Alekseichuk (713685)
Annekathrin Schacht (175544)
Walter Paulus (186167)
Andrea Antal (392179)

March 2015

Note: Random effect for subject intercept had SD of 12.49. SE: standard error of mean; df: degree...

The results of standardized regression coefficient analysis to identify the clinical factors influencing ΔK in each path model.

Satoshi Ito (12555)
Tomohisa Nagoshi (585330)
Kosuke Minai (652411)
Yusuke Kashiwagi (762406)
Hiroshi Sekiyama (652418)
Akira Yoshii (4860)
Haruka Kimura (3944843)
Yasunori Inoue (54089)
Kazuo Ogawa (652416)
Toshikazu D. Tanaka (762407)
Takayuki Ogawa (652412)
Makoto Kawai (652413)
Michihiro Yoshimura (585335)

April 2017

The results of standardized regression coefficient analysis to identify the clinical factors infl...

Regression coefficients of the influence of explanatory variables age, gender, and language area on the seven factors of the CEBQ.

Anaëlle L. Leuba (17598583)
Andrea H. Meyer (10430964)
Tanja H. Kakebeeke (5903864)
Kerstin Stülb (3619214)
Amar Arhab (3619199)
Annina E. Zysset (5903861)
Claudia S. Leeger-Aschmann (5903867)
Einat A. Schmutz (5903870)
Susi Kriemler (18250)
Oskar G. Jenni (7505729)
Jardena J. Puder (7242224)
Simone Munsch (3619196)
Nadine Messerli-Bürgy (3619208)

December 2023

Regression coefficients of the influence of explanatory variables age, gender, and language area on ...

Paired contrasts for predictor and model on adjusted R2.

Maria A. G. Witek (552962)
Eric F. Clarke (552963)
Mikkel Wallentin (552964)
Morten L. Kringelbach (320548)
Peter Vuust (320954)

April 2014

Notes: Effect of models (quadratic and linear) and predictors (syncopation and joint audio entrop...

Standardised correlation coefficients and proportion of variance accounted for by regression analyses with sound stimuli as criterion variables and cognitive measures and sex as predictor variables.

Vera Kempe (122607)
John C. Thoresen (122609)
Neil W. Kirk (122612)
Felix Schaeffler (122615)
Patricia J. Brooks (122618)

November 2012

Note: CFIT - Culture Fair Intelligence Test, ReadSpan – Reading Span test, SimonCost – incongruen...

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.

Paul Bangirana (285447)
Jeremiah Menk (285448)
Chandy C. John (285449)
Michael J. Boivin (285450)
James S. Hodges (285451)

February 2013

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.</p

β coefficients, p-values, and R2 values from multiple regression analyses with IQ estimates as dependent variables.

Glenn N. Saxe (2583397)
Daniel Calderone (4846447)
Leah J. Morales (4846444)

February 2018

β coefficients, p-values, and R2 values from multiple regr...

Univariate and multivariate regression analyses examining variables associated with sensory measures for the affected side.

Vijayakumar Palaniswamy (5892416)
Shu-Kay Ng (591212)
Nagarajan Manickaraj (5892419)
Michael Ryan (418613)
Michael Yelland (5892422)
David Rabago (5892425)
Leanne Bisset (3122601)

October 2018

Univariate and multivariate regression analyses examining variables associated with sensory measures...

Regression coefficients (β) with corresponding t and p values for each of the fixed effect predictors in the regression analyses of Experiment 1.

Niels Janssen (175188)
Horacio A. Barber (175190)

March 2012

Standard error of the regression coefficient between brackets. Degrees of Freedom associated with...

Predictors for the traditional regression model with male voices. F[2,27] = 1, Adjusted r2 = 0.02, p = 0.27.

Molly Babel (524420)
Grant McGuire (524421)
Joseph King (524422)

February 2014

Predictors for the traditional regression model with male voices. F[2,27] = 1, Adjusted r2</...

Predictors for the regression model with male voices. F[7,22] = 7.23, Adjusted r2 = 0.60, p<0.001.

Molly Babel (524420)
Grant McGuire (524421)
Joseph King (524422)

February 2014

Predictors for the regression model with male voices. F[7,22] = 7.23, Adjusted r2 = 0....

Standard multiple regression analyses with the reading comprehension of utterances as dependent variable and variables of interest at P1 as predictors (for decoding skills: accuracy scores for word and pseudoword reading).

Edouard Gentaz (23793)
Liliane Sprenger-Charolles (481781)
Anne Theurel (155100)
Pascale Colé (481782)

November 2013

Standard multiple regression analyses with the reading comprehension of utterances as dependent v...

Predictors for the traditional regression model with female voices. F[2,27] = 5.07, Adjusted r2 = 0.22, p<0.05.

Molly Babel (524420)
Grant McGuire (524421)
Joseph King (524422)

February 2014

Predictors for the traditional regression model with female voices. F[2,27] = 5.07, Adjusted r<su...

Standard multiple regression analyses with the reading comprehension of utterances as dependent variable and variables of interest at P1 and P2 as predictors (for decoding skills: fluency in pseudoword reading).

Edouard Gentaz (23793)
Liliane Sprenger-Charolles (481781)
Anne Theurel (155100)
Pascale Colé (481782)

November 2013

Standard multiple regression analyses with the reading comprehension of utterances as dependent v...

Regression coefficients, odds ratios, and derived weights for each predictor of the two outcomes according to residence before admission in the derivation cohort.

Yoshito Hirota (8466234)
Jung-ho Shin (9693278)
Noriko Sasaki (4782462)
Susumu Kunisawa (732060)
Kiyohide Fushimi (652788)
Yuichi Imanaka (63493)

February 2023

Regression coefficients, odds ratios, and derived weights for each predictor of the two outcomes acc...

The summary of the fixed effects of the final model taking confidence rating as dependent variable (N = 7787; log-likelihood = 35888).

Alberto Pisoni (713682)
Zsolt Turi (701597)
Almuth Raithel (713683)
Géza Gergely Ambrus (713684)
Ivan Alekseichuk (713685)
Annekathrin Schacht (175544)
Walter Paulus (186167)
Andrea Antal (392179)

March 2015

Note: Random effect for subject intercept had SD of 12.49. SE: standard error of mean; df: degree...

The results of standardized regression coefficient analysis to identify the clinical factors influencing ΔK in each path model.

Satoshi Ito (12555)
Tomohisa Nagoshi (585330)
Kosuke Minai (652411)
Yusuke Kashiwagi (762406)
Hiroshi Sekiyama (652418)
Akira Yoshii (4860)
Haruka Kimura (3944843)
Yasunori Inoue (54089)
Kazuo Ogawa (652416)
Toshikazu D. Tanaka (762407)
Takayuki Ogawa (652412)
Makoto Kawai (652413)
Michihiro Yoshimura (585335)

April 2017

The results of standardized regression coefficient analysis to identify the clinical factors infl...

Regression coefficients of the influence of explanatory variables age, gender, and language area on the seven factors of the CEBQ.

Anaëlle L. Leuba (17598583)
Andrea H. Meyer (10430964)
Tanja H. Kakebeeke (5903864)
Kerstin Stülb (3619214)
Amar Arhab (3619199)
Annina E. Zysset (5903861)
Claudia S. Leeger-Aschmann (5903867)
Einat A. Schmutz (5903870)
Susi Kriemler (18250)
Oskar G. Jenni (7505729)
Jardena J. Puder (7242224)
Simone Munsch (3619196)
Nadine Messerli-Bürgy (3619208)

December 2023

Regression coefficients of the influence of explanatory variables age, gender, and language area on ...

Paired contrasts for predictor and model on adjusted R2.

Maria A. G. Witek (552962)
Eric F. Clarke (552963)
Mikkel Wallentin (552964)
Morten L. Kringelbach (320548)
Peter Vuust (320954)

April 2014

Notes: Effect of models (quadratic and linear) and predictors (syncopation and joint audio entrop...

Standardised correlation coefficients and proportion of variance accounted for by regression analyses with sound stimuli as criterion variables and cognitive measures and sex as predictor variables.

Vera Kempe (122607)
John C. Thoresen (122609)
Neil W. Kirk (122612)
Felix Schaeffler (122615)
Patricia J. Brooks (122618)

November 2012

Note: CFIT - Culture Fair Intelligence Test, ReadSpan – Reading Span test, SimonCost – incongruen...

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.

Paul Bangirana (285447)
Jeremiah Menk (285448)
Chandy C. John (285449)
Michael J. Boivin (285450)
James S. Hodges (285451)

February 2013

Standardized estimates of regression coefficients on the ‘Cognitive ability’ latent variable.</p

β coefficients, p-values, and R2 values from multiple regression analyses with IQ estimates as dependent variables.

Glenn N. Saxe (2583397)
Daniel Calderone (4846447)
Leah J. Morales (4846444)

February 2018

β coefficients, p-values, and R2 values from multiple regr...

Univariate and multivariate regression analyses examining variables associated with sensory measures for the affected side.

Vijayakumar Palaniswamy (5892416)
Shu-Kay Ng (591212)
Nagarajan Manickaraj (5892419)
Michael Ryan (418613)
Michael Yelland (5892422)
David Rabago (5892425)
Leanne Bisset (3122601)

October 2018

Univariate and multivariate regression analyses examining variables associated with sensory measures...

Regression coefficients (<i>β</i>) with corresponding <i>t</i> and <i>p</i> values for each of the fixed effect predictors in the regression analyses of the noun+adjective and determiner+noun+adjective utterances in Experiment 2.

Abstract

Extracted data

Regression coefficients (<i>β</i>) with corresponding <i>t</i> and <i>p</i> values for each of the fixed effect predictors in the regression analyses of the noun+adjective and determiner+noun+adjective utterances in Experiment 2.

Abstract

Extracted data

Related items

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