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Peter K Kwok - One of the best experts on this subject based on the ideXlab platform.

  • Sample Design Sample augmentation and estimation for wave 2 of the nshap
    Journals of Gerontology Series B-psychological Sciences and Social Sciences, 2014
    Co-Authors: Colm Omuircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    Objectives. The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible. Method. There were 2 important innovations. First, the scope of the study was expanded by collecting data from coresident spouses or romantic partners. Second, to maximize the representativeness of the Wave 2 data, nonrespondents from Wave 1 were again approached for interview in the Wave 2 Sample. Results. The overall unconditional response rate for the Wave 2 panel was 74%; the conditional response rate of Wave 1 respondents was 89%; the conditional response rate of partners was 84%; and the conversion rate for Wave 1 nonre spondents was 26%. Discussion. The inclusion of coresident partners enhanced the study by allowing the examination of how intimate, household relationships are related to health trajectories and by augmenting the size of the NSHAP Sample size for this and future waves. The uncommon strategy of returning to Wave 1 nonrespondents reduced potential bias by ensuring that to the extent possible the whole of the original Sample forms the basis for the field effort. NSHAP Wave 2 achieved its field objectives of consolidating the panel, recruiting their resident spouses or romantic partners, and converting a significant proportion of Wave 1 nonrespondents.

  • Sample Design, Sample augmentation, and estimation for Wave 2 of the NSHAP.
    Journals of Gerontology Series B-psychological Sciences and Social Sciences, 2014
    Co-Authors: Colm O'muircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    Objectives. The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible.

  • Sample Design, Sample augmentation, and estimation for Wave 2 of the NSHAP.
    The journals of gerontology. Series B Psychological sciences and social sciences, 2014
    Co-Authors: Colm O'muircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible. There were 2 important innovations. First, the scope of the study was expanded by collecting data from coresident spouses or romantic partners. Second, to maximize the representativeness of the Wave 2 data, nonrespondents from Wave 1 were again approached for interview in the Wave 2 Sample. The overall unconditional response rate for the Wave 2 panel was 74%; the conditional response rate of Wave 1 respondents was 89%; the conditional response rate of partners was 84%; and the conversion rate for Wave 1 nonrespondents was 26%. The inclusion of coresident partners enhanced the study by allowing the examination of how intimate, household relationships are related to health trajectories and by augmenting the size of the NSHAP Sample size for this and future waves. The uncommon strategy of returning to Wave 1 nonrespondents reduced potential bias by ensuring that to the extent possible the whole of the original Sample forms the basis for the field effort. NSHAP Wave 2 achieved its field objectives of consolidating the panel, recruiting their resident spouses or romantic partners, and converting a significant proportion of Wave 1 nonrespondents. © The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Stefanie Pieters - One of the best experts on this subject based on the ideXlab platform.

  • can we predict mathematical learning disabilities from symbolic and non symbolic comparison tasks in kindergarten findings from a longitudinal study
    British Journal of Educational Psychology, 2012
    Co-Authors: Annemie Desoete, Anneliesje Ceulemans, Frauke De Weerdt, Stefanie Pieters
    Abstract:

    Background.  The ability to compare numbers, as the most basic form of number sense, has been related to arithmetical achievement. Aims.  The current study addressed the predictive value of non-symbolic and symbolic (number word (NW) and Arabic number (AN)) comparison for arithmetics by means of a longitudinal Design. Sample.  Sixteen children with mathematical disabilities (MD), 64 low achievers (LA), and 315 typical achieving (TA) children were followed from kindergarten till grade 2. Method.  The association of comparison skills with arithmetical skills in grades l and 2 was studied. The performances of MD, LA and TA children were compared. Results.  Regression analyses showed that non-symbolic skills in kindergarten were predictively related to arithmetical achievement 1 year later and fact retrieval 2 years later. AN comparison was predictively related to procedural calculation 2 years later. In grade 2, there was an association between both symbolic tasks and arithmetical achievement. Children with MD already had deficits in non-symbolic and symbolic AN comparison in kindergarten, whereas in grade 2 the deficits in processing symbolic information remained. Conclusions.  The combination of non-symbolic and symbolic deficits represents a risk of developing MD.

  • Can we predict mathematical learning disabilities from symbolic and non‐symbolic comparison tasks in kindergarten? Findings from a longitudinal study
    British Journal of Educational Psychology, 2010
    Co-Authors: Annemie Desoete, Anneliesje Ceulemans, Frauke De Weerdt, Stefanie Pieters
    Abstract:

    Background.  The ability to compare numbers, as the most basic form of number sense, has been related to arithmetical achievement. Aims.  The current study addressed the predictive value of non-symbolic and symbolic (number word (NW) and Arabic number (AN)) comparison for arithmetics by means of a longitudinal Design. Sample.  Sixteen children with mathematical disabilities (MD), 64 low achievers (LA), and 315 typical achieving (TA) children were followed from kindergarten till grade 2. Method.  The association of comparison skills with arithmetical skills in grades l and 2 was studied. The performances of MD, LA and TA children were compared. Results.  Regression analyses showed that non-symbolic skills in kindergarten were predictively related to arithmetical achievement 1 year later and fact retrieval 2 years later. AN comparison was predictively related to procedural calculation 2 years later. In grade 2, there was an association between both symbolic tasks and arithmetical achievement. Children with MD already had deficits in non-symbolic and symbolic AN comparison in kindergarten, whereas in grade 2 the deficits in processing symbolic information remained. Conclusions.  The combination of non-symbolic and symbolic deficits represents a risk of developing MD.

Annemie Desoete - One of the best experts on this subject based on the ideXlab platform.

  • can we predict mathematical learning disabilities from symbolic and non symbolic comparison tasks in kindergarten findings from a longitudinal study
    British Journal of Educational Psychology, 2012
    Co-Authors: Annemie Desoete, Anneliesje Ceulemans, Frauke De Weerdt, Stefanie Pieters
    Abstract:

    Background.  The ability to compare numbers, as the most basic form of number sense, has been related to arithmetical achievement. Aims.  The current study addressed the predictive value of non-symbolic and symbolic (number word (NW) and Arabic number (AN)) comparison for arithmetics by means of a longitudinal Design. Sample.  Sixteen children with mathematical disabilities (MD), 64 low achievers (LA), and 315 typical achieving (TA) children were followed from kindergarten till grade 2. Method.  The association of comparison skills with arithmetical skills in grades l and 2 was studied. The performances of MD, LA and TA children were compared. Results.  Regression analyses showed that non-symbolic skills in kindergarten were predictively related to arithmetical achievement 1 year later and fact retrieval 2 years later. AN comparison was predictively related to procedural calculation 2 years later. In grade 2, there was an association between both symbolic tasks and arithmetical achievement. Children with MD already had deficits in non-symbolic and symbolic AN comparison in kindergarten, whereas in grade 2 the deficits in processing symbolic information remained. Conclusions.  The combination of non-symbolic and symbolic deficits represents a risk of developing MD.

  • Can we predict mathematical learning disabilities from symbolic and non‐symbolic comparison tasks in kindergarten? Findings from a longitudinal study
    British Journal of Educational Psychology, 2010
    Co-Authors: Annemie Desoete, Anneliesje Ceulemans, Frauke De Weerdt, Stefanie Pieters
    Abstract:

    Background.  The ability to compare numbers, as the most basic form of number sense, has been related to arithmetical achievement. Aims.  The current study addressed the predictive value of non-symbolic and symbolic (number word (NW) and Arabic number (AN)) comparison for arithmetics by means of a longitudinal Design. Sample.  Sixteen children with mathematical disabilities (MD), 64 low achievers (LA), and 315 typical achieving (TA) children were followed from kindergarten till grade 2. Method.  The association of comparison skills with arithmetical skills in grades l and 2 was studied. The performances of MD, LA and TA children were compared. Results.  Regression analyses showed that non-symbolic skills in kindergarten were predictively related to arithmetical achievement 1 year later and fact retrieval 2 years later. AN comparison was predictively related to procedural calculation 2 years later. In grade 2, there was an association between both symbolic tasks and arithmetical achievement. Children with MD already had deficits in non-symbolic and symbolic AN comparison in kindergarten, whereas in grade 2 the deficits in processing symbolic information remained. Conclusions.  The combination of non-symbolic and symbolic deficits represents a risk of developing MD.

Ned English - One of the best experts on this subject based on the ideXlab platform.

  • Sample Design Sample augmentation and estimation for wave 2 of the nshap
    Journals of Gerontology Series B-psychological Sciences and Social Sciences, 2014
    Co-Authors: Colm Omuircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    Objectives. The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible. Method. There were 2 important innovations. First, the scope of the study was expanded by collecting data from coresident spouses or romantic partners. Second, to maximize the representativeness of the Wave 2 data, nonrespondents from Wave 1 were again approached for interview in the Wave 2 Sample. Results. The overall unconditional response rate for the Wave 2 panel was 74%; the conditional response rate of Wave 1 respondents was 89%; the conditional response rate of partners was 84%; and the conversion rate for Wave 1 nonre spondents was 26%. Discussion. The inclusion of coresident partners enhanced the study by allowing the examination of how intimate, household relationships are related to health trajectories and by augmenting the size of the NSHAP Sample size for this and future waves. The uncommon strategy of returning to Wave 1 nonrespondents reduced potential bias by ensuring that to the extent possible the whole of the original Sample forms the basis for the field effort. NSHAP Wave 2 achieved its field objectives of consolidating the panel, recruiting their resident spouses or romantic partners, and converting a significant proportion of Wave 1 nonrespondents.

  • Sample Design, Sample augmentation, and estimation for Wave 2 of the NSHAP.
    Journals of Gerontology Series B-psychological Sciences and Social Sciences, 2014
    Co-Authors: Colm O'muircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    Objectives. The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible.

  • Sample Design, Sample augmentation, and estimation for Wave 2 of the NSHAP.
    The journals of gerontology. Series B Psychological sciences and social sciences, 2014
    Co-Authors: Colm O'muircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible. There were 2 important innovations. First, the scope of the study was expanded by collecting data from coresident spouses or romantic partners. Second, to maximize the representativeness of the Wave 2 data, nonrespondents from Wave 1 were again approached for interview in the Wave 2 Sample. The overall unconditional response rate for the Wave 2 panel was 74%; the conditional response rate of Wave 1 respondents was 89%; the conditional response rate of partners was 84%; and the conversion rate for Wave 1 nonrespondents was 26%. The inclusion of coresident partners enhanced the study by allowing the examination of how intimate, household relationships are related to health trajectories and by augmenting the size of the NSHAP Sample size for this and future waves. The uncommon strategy of returning to Wave 1 nonrespondents reduced potential bias by ensuring that to the extent possible the whole of the original Sample forms the basis for the field effort. NSHAP Wave 2 achieved its field objectives of consolidating the panel, recruiting their resident spouses or romantic partners, and converting a significant proportion of Wave 1 nonrespondents. © The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Steven Pedlow - One of the best experts on this subject based on the ideXlab platform.

  • Sample Design Sample augmentation and estimation for wave 2 of the nshap
    Journals of Gerontology Series B-psychological Sciences and Social Sciences, 2014
    Co-Authors: Colm Omuircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    Objectives. The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible. Method. There were 2 important innovations. First, the scope of the study was expanded by collecting data from coresident spouses or romantic partners. Second, to maximize the representativeness of the Wave 2 data, nonrespondents from Wave 1 were again approached for interview in the Wave 2 Sample. Results. The overall unconditional response rate for the Wave 2 panel was 74%; the conditional response rate of Wave 1 respondents was 89%; the conditional response rate of partners was 84%; and the conversion rate for Wave 1 nonre spondents was 26%. Discussion. The inclusion of coresident partners enhanced the study by allowing the examination of how intimate, household relationships are related to health trajectories and by augmenting the size of the NSHAP Sample size for this and future waves. The uncommon strategy of returning to Wave 1 nonrespondents reduced potential bias by ensuring that to the extent possible the whole of the original Sample forms the basis for the field effort. NSHAP Wave 2 achieved its field objectives of consolidating the panel, recruiting their resident spouses or romantic partners, and converting a significant proportion of Wave 1 nonrespondents.

  • Sample Design, Sample augmentation, and estimation for Wave 2 of the NSHAP.
    Journals of Gerontology Series B-psychological Sciences and Social Sciences, 2014
    Co-Authors: Colm O'muircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    Objectives. The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible.

  • Sample Design, Sample augmentation, and estimation for Wave 2 of the NSHAP.
    The journals of gerontology. Series B Psychological sciences and social sciences, 2014
    Co-Authors: Colm O'muircheartaigh, Ned English, Steven Pedlow, Peter K Kwok
    Abstract:

    The Sample for the second wave (2010) of National Social Life, Health, and Aging Project (NSHAP) was Designed to increase the scientific value of the Wave 1 (2005) data set by revisiting Sample members 5 years after their initial interviews and augmenting this Sample where possible. There were 2 important innovations. First, the scope of the study was expanded by collecting data from coresident spouses or romantic partners. Second, to maximize the representativeness of the Wave 2 data, nonrespondents from Wave 1 were again approached for interview in the Wave 2 Sample. The overall unconditional response rate for the Wave 2 panel was 74%; the conditional response rate of Wave 1 respondents was 89%; the conditional response rate of partners was 84%; and the conversion rate for Wave 1 nonrespondents was 26%. The inclusion of coresident partners enhanced the study by allowing the examination of how intimate, household relationships are related to health trajectories and by augmenting the size of the NSHAP Sample size for this and future waves. The uncommon strategy of returning to Wave 1 nonrespondents reduced potential bias by ensuring that to the extent possible the whole of the original Sample forms the basis for the field effort. NSHAP Wave 2 achieved its field objectives of consolidating the panel, recruiting their resident spouses or romantic partners, and converting a significant proportion of Wave 1 nonrespondents. © The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.