Correlation between CFF threshold and Word Decoding Test scores (F(39) = 125.46, r = .88, r2 = .76, p<.01), and Nonsense-word Decoding Test scores (F(39) = 168.36, r = .90, r2 = .81, p<.01).

Image_1_A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists.pdf

Justin Bushnell (13793563)
Diana Svaldi (9212914)
Matthew R. Ayers (13793566)
Sujuan Gao (797274)
Frederick Unverzagt (4837701)
John Del Gaizo (13793569)
Virginia G. Wadley (9930674)
Richard Kennedy (248483)
Joaquín Goñi (3270741)
David Glenn Clark (13793572)

September 2022

ObjectiveTo compare techniques for computing clustering and switching scores in terms of agreement, ...

Differences in relative importance of predictors of pseudo-word decoding scores between presentation modalities within connectivity measures.

Erica S. Edwards (6090764)
Kali Burke (5346098)
James R. Booth (395019)
Chris McNorgan (6090767)

December 2018

Differences in relative importance of predictors of pseudo-word decoding scores between presentation...

STUDY OF SOURCES OF SCORE VARIABILITY IN PERFORMANCE ASSESSMENT USING MFRM ： A CASE OF SPEAKING TESTIN PETS BAND3?

Zhang Jie
He Lianzhen

August 2015

As direct measure of learners?com m unicative language ability，performance assessment（typically writ...

Correlation between CFF thresholds and Landolt C test scores (F(17) = 25.45, r = .78, r2 = .61, p<.01).

Steven R. Holloway (500601)
José E. Náñez Sr (140947)
Aaron R. Seitz (23086)

December 2013

Correlation between CFF thresholds and Landolt C test scores (F(17) = 25.45, r = .78, r2</su...

Partial correlations with Letter-speech sound fluency factor score and post-test scores in reading fluency (pre-test controlled).

Gorka Fraga González (645599)
Gojko Žarić (645598)
Jurgen Tijms (645600)
Milene Bonte (645602)
Leo Blomert (645601)
Maurits W. van der Molen (318241)

December 2015

a T scores (M = 50, SD = 10).b SS scores (M = 10, SD = 3).<su...

Correlations of word reading fluency and accuracy with the MMN latency in Av0 condition.

Gojko Žarić (645598)
Gorka Fraga González (645599)
Jurgen Tijms (645600)
Maurits W. van der Molen (318241)
Leo Blomert (645601)
Milene Bonte (645602)

October 2014

Relation of composite fluency (3DM word reading fluency, EMT, ‘De Kat’) and 3DM Accuracy (HFW, LF...

Data from CCAB verbal fluency tests

David Woods (699459)

November 2016

Published in PLoS ONE.<div>ABSTRACT. In verbal fluency (VF) tests, subjects articulate words in a sp...

Computerized Analysis of Verbal Fluency: Normative Data and the Effects of Repeated Testing, Simulated Malingering, and Traumatic Brain Injury.

David L Woods
John M Wyma
Timothy J Herron
E William Yund

January 2016

In verbal fluency (VF) tests, subjects articulate words in a specified category during a short test ...

Corrected FFPE/Frozen correlations for each individual.

Celeste Lebbe (187596)
Mickael Guedj (127254)
Nicole Basset-Seguin (187601)
Marie Pierre Podgorniak (187603)
Suzanne Menashi (187605)
Anne Janin (187607)
Samia Mourah (187609)

January 2012

The correlation test tries the hypothesis «the correlation is useless”. The threshold represents ...

Mean scores of sentence comprehensibility rating (on a 5-point scale), cloze probability for the critical words, the semantic relatedness between the critical words, the mostly produced words in the cloze probability test (on a 7-point scale) and the plausibility of the construction (standard deviations in parentheses).

Yang Yang (45629)
Fuyun Wu (763116)
Xiaolin Zhou (305743)

June 2015

Mean scores of sentence comprehensibility rating (on a 5-point scale), cloze probability for the ...

The filtered words test and the influence of lexicality

Arnott, W.
Goli, T.
Bradley, A. P.
Smith, A.
Wilson, W.

January 2014

Purpose: In the present study, the authors aimed to investigate the language confounds of filtered w...

Image_2_A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists.pdf

Justin Bushnell (13793563)
Diana Svaldi (9212914)
Matthew R. Ayers (13793566)
Sujuan Gao (797274)
Frederick Unverzagt (4837701)
John Del Gaizo (13793569)
Virginia G. Wadley (9930674)
Richard Kennedy (248483)
Joaquín Goñi (3270741)
David Glenn Clark (13793572)

September 2022

ObjectiveTo compare techniques for computing clustering and switching scores in terms of agreement, ...

Differences in relative importance of predictors of pseudo-word decoding scores between connectivity measures within presentation modalities.

Erica S. Edwards (6090764)
Kali Burke (5346098)
James R. Booth (395019)
Chris McNorgan (6090767)

December 2018

Differences in relative importance of predictors of pseudo-word decoding scores between connectivity...

Image_3_A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists.pdf

Justin Bushnell (13793563)
Diana Svaldi (9212914)
Matthew R. Ayers (13793566)
Sujuan Gao (797274)
Frederick Unverzagt (4837701)
John Del Gaizo (13793569)
Virginia G. Wadley (9930674)
Richard Kennedy (248483)
Joaquín Goñi (3270741)
David Glenn Clark (13793572)

September 2022

ObjectiveTo compare techniques for computing clustering and switching scores in terms of agreement, ...

Agreement between Computerized and Human Assessment of Performance on the Ruff Figural Fluency Test

Martin F. Elderson (3135132)
Sander Pham (3135135)
Marlise E. A. van Eersel (499054)
Bruce H. R. Wolffenbuttel (160036)
Johan Kok (3135129)
Ron T. Gansevoort (111233)
Oliver Tucha (293168)
Melanie M. van der Klauw (280325)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

September 2016

<div>The Ruff Figural Fluency Test (RFFT) is a sensitive test for nonverbal fluency suitable for ...

Image_1_A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists.pdf

Justin Bushnell (13793563)
Diana Svaldi (9212914)
Matthew R. Ayers (13793566)
Sujuan Gao (797274)
Frederick Unverzagt (4837701)
John Del Gaizo (13793569)
Virginia G. Wadley (9930674)
Richard Kennedy (248483)
Joaquín Goñi (3270741)
David Glenn Clark (13793572)

September 2022

ObjectiveTo compare techniques for computing clustering and switching scores in terms of agreement, ...

Differences in relative importance of predictors of pseudo-word decoding scores between presentation modalities within connectivity measures.

Erica S. Edwards (6090764)
Kali Burke (5346098)
James R. Booth (395019)
Chris McNorgan (6090767)

December 2018

Differences in relative importance of predictors of pseudo-word decoding scores between presentation...

STUDY OF SOURCES OF SCORE VARIABILITY IN PERFORMANCE ASSESSMENT USING MFRM ： A CASE OF SPEAKING TESTIN PETS BAND3?

Zhang Jie
He Lianzhen

August 2015

As direct measure of learners?com m unicative language ability，performance assessment（typically writ...

Correlation between CFF thresholds and Landolt C test scores (F(17) = 25.45, r = .78, r2 = .61, p<.01).

Steven R. Holloway (500601)
José E. Náñez Sr (140947)
Aaron R. Seitz (23086)

December 2013

Correlation between CFF thresholds and Landolt C test scores (F(17) = 25.45, r = .78, r2</su...

Partial correlations with Letter-speech sound fluency factor score and post-test scores in reading fluency (pre-test controlled).

Gorka Fraga González (645599)
Gojko Žarić (645598)
Jurgen Tijms (645600)
Milene Bonte (645602)
Leo Blomert (645601)
Maurits W. van der Molen (318241)

December 2015

a T scores (M = 50, SD = 10).b SS scores (M = 10, SD = 3).<su...

Correlations of word reading fluency and accuracy with the MMN latency in Av0 condition.

Gojko Žarić (645598)
Gorka Fraga González (645599)
Jurgen Tijms (645600)
Maurits W. van der Molen (318241)
Leo Blomert (645601)
Milene Bonte (645602)

October 2014

Relation of composite fluency (3DM word reading fluency, EMT, ‘De Kat’) and 3DM Accuracy (HFW, LF...

Data from CCAB verbal fluency tests

David Woods (699459)

November 2016

Published in PLoS ONE.<div>ABSTRACT. In verbal fluency (VF) tests, subjects articulate words in a sp...

Computerized Analysis of Verbal Fluency: Normative Data and the Effects of Repeated Testing, Simulated Malingering, and Traumatic Brain Injury.

David L Woods
John M Wyma
Timothy J Herron
E William Yund

January 2016

In verbal fluency (VF) tests, subjects articulate words in a specified category during a short test ...

Corrected FFPE/Frozen correlations for each individual.

Celeste Lebbe (187596)
Mickael Guedj (127254)
Nicole Basset-Seguin (187601)
Marie Pierre Podgorniak (187603)
Suzanne Menashi (187605)
Anne Janin (187607)
Samia Mourah (187609)

January 2012

The correlation test tries the hypothesis «the correlation is useless”. The threshold represents ...

Mean scores of sentence comprehensibility rating (on a 5-point scale), cloze probability for the critical words, the semantic relatedness between the critical words, the mostly produced words in the cloze probability test (on a 7-point scale) and the plausibility of the construction (standard deviations in parentheses).

Yang Yang (45629)
Fuyun Wu (763116)
Xiaolin Zhou (305743)

June 2015

Mean scores of sentence comprehensibility rating (on a 5-point scale), cloze probability for the ...

The filtered words test and the influence of lexicality

Arnott, W.
Goli, T.
Bradley, A. P.
Smith, A.
Wilson, W.

January 2014

Purpose: In the present study, the authors aimed to investigate the language confounds of filtered w...

Image_2_A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists.pdf

Justin Bushnell (13793563)
Diana Svaldi (9212914)
Matthew R. Ayers (13793566)
Sujuan Gao (797274)
Frederick Unverzagt (4837701)
John Del Gaizo (13793569)
Virginia G. Wadley (9930674)
Richard Kennedy (248483)
Joaquín Goñi (3270741)
David Glenn Clark (13793572)

September 2022

ObjectiveTo compare techniques for computing clustering and switching scores in terms of agreement, ...

Differences in relative importance of predictors of pseudo-word decoding scores between connectivity measures within presentation modalities.

Erica S. Edwards (6090764)
Kali Burke (5346098)
James R. Booth (395019)
Chris McNorgan (6090767)

December 2018

Differences in relative importance of predictors of pseudo-word decoding scores between connectivity...

Image_3_A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists.pdf

Justin Bushnell (13793563)
Diana Svaldi (9212914)
Matthew R. Ayers (13793566)
Sujuan Gao (797274)
Frederick Unverzagt (4837701)
John Del Gaizo (13793569)
Virginia G. Wadley (9930674)
Richard Kennedy (248483)
Joaquín Goñi (3270741)
David Glenn Clark (13793572)

September 2022

ObjectiveTo compare techniques for computing clustering and switching scores in terms of agreement, ...

Agreement between Computerized and Human Assessment of Performance on the Ruff Figural Fluency Test

Martin F. Elderson (3135132)
Sander Pham (3135135)
Marlise E. A. van Eersel (499054)
Bruce H. R. Wolffenbuttel (160036)
Johan Kok (3135129)
Ron T. Gansevoort (111233)
Oliver Tucha (293168)
Melanie M. van der Klauw (280325)
Joris P. J. Slaets (196410)
Gerbrand J. Izaks (196384)

September 2016

<div>The Ruff Figural Fluency Test (RFFT) is a sensitive test for nonverbal fluency suitable for ...

Image_1_A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists.pdf

Justin Bushnell (13793563)
Diana Svaldi (9212914)
Matthew R. Ayers (13793566)
Sujuan Gao (797274)
Frederick Unverzagt (4837701)
John Del Gaizo (13793569)
Virginia G. Wadley (9930674)
Richard Kennedy (248483)
Joaquín Goñi (3270741)
David Glenn Clark (13793572)

September 2022

ObjectiveTo compare techniques for computing clustering and switching scores in terms of agreement, ...

Differences in relative importance of predictors of pseudo-word decoding scores between presentation modalities within connectivity measures.

Erica S. Edwards (6090764)
Kali Burke (5346098)
James R. Booth (395019)
Chris McNorgan (6090767)

December 2018

Differences in relative importance of predictors of pseudo-word decoding scores between presentation...

STUDY OF SOURCES OF SCORE VARIABILITY IN PERFORMANCE ASSESSMENT USING MFRM ： A CASE OF SPEAKING TESTIN PETS BAND3?

Zhang Jie
He Lianzhen

August 2015

As direct measure of learners?com m unicative language ability，performance assessment（typically writ...

Correlation between CFF threshold and Word Decoding Test scores (F(39) = 125.46, r = .88, r<sup>2 = </sup>.76, p<.01), and Nonsense-word Decoding Test scores (F(39) = 168.36, r = .90, r<sup>2</sup> = .81, p<.01).

Abstract

Extracted data

Correlation between CFF threshold and Word Decoding Test scores (F(39) = 125.46, r = .88, r<sup>2 = </sup>.76, p<.01), and Nonsense-word Decoding Test scores (F(39) = 168.36, r = .90, r<sup>2</sup> = .81, p<.01).

Abstract

Extracted data

Related items

Related items