Measurement bias in caregiver‐report of early childhood behavior problems across demographic factors in an ECHO‐wide diverse sample
Background Research and clinical practice rely heavily on caregiver‐report measures, such as the Child Behavior Checklist 1.5–5 (CBCL/1.5‐5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables inf...
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| Published in | JCPP advances Vol. 4; no. 1; pp. e12198 - n/a |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
John Wiley & Sons, Inc
01.03.2024
John Wiley and Sons Inc Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2692-9384 2692-9384 |
| DOI | 10.1002/jcv2.12198 |
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| Abstract | Background
Research and clinical practice rely heavily on caregiver‐report measures, such as the Child Behavior Checklist 1.5–5 (CBCL/1.5‐5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5‐5 functions equivalently at the item level across diverse samples is unknown.
Methods
Item‐level data of CBCL/1.5‐5 from a large sample of young children (N = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses.
Results
Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status.
Conclusions
The CBCL/1.5‐5, a caregiver‐report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets.
This study systematically examines the measurement bias of the CBCL 1.5‐5 in a large, diverse sample (n = 9087). Questions from a commonly used measure of behavior problems in young children show bias depending on the language version administered (Spanish vs. English), educational level and sex of the caregiver respondent, as well as child’s age. Findings suggest that this questionnaire might not measure behavior problems in the same way for children with caregivers from diverse backgrounds. Recommendations are provided for bias‐reduced item sets with scores mapped onto the original scale. |
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| AbstractList | Background Research and clinical practice rely heavily on caregiver‐report measures, such as the Child Behavior Checklist 1.5–5 (CBCL/1.5‐5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5‐5 functions equivalently at the item level across diverse samples is unknown. Methods Item‐level data of CBCL/1.5‐5 from a large sample of young children (N = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses. Results Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status. Conclusions The CBCL/1.5‐5, a caregiver‐report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets. Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown.BackgroundResearch and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown.Item-level data of CBCL/1.5-5 from a large sample of young children (N = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses.MethodsItem-level data of CBCL/1.5-5 from a large sample of young children (N = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses.Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status.ResultsItems with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status.The CBCL/1.5-5, a caregiver-report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets.ConclusionsThe CBCL/1.5-5, a caregiver-report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets. Abstract Background Research and clinical practice rely heavily on caregiver‐report measures, such as the Child Behavior Checklist 1.5–5 (CBCL/1.5‐5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5‐5 functions equivalently at the item level across diverse samples is unknown. Methods Item‐level data of CBCL/1.5‐5 from a large sample of young children (N = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses. Results Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status. Conclusions The CBCL/1.5‐5, a caregiver‐report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets. Background Research and clinical practice rely heavily on caregiver‐report measures, such as the Child Behavior Checklist 1.5–5 (CBCL/1.5‐5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5‐5 functions equivalently at the item level across diverse samples is unknown. Methods Item‐level data of CBCL/1.5‐5 from a large sample of young children (N = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses. Results Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status. Conclusions The CBCL/1.5‐5, a caregiver‐report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets. This study systematically examines the measurement bias of the CBCL 1.5‐5 in a large, diverse sample (n = 9087). Questions from a commonly used measure of behavior problems in young children show bias depending on the language version administered (Spanish vs. English), educational level and sex of the caregiver respondent, as well as child’s age. Findings suggest that this questionnaire might not measure behavior problems in the same way for children with caregivers from diverse backgrounds. Recommendations are provided for bias‐reduced item sets with scores mapped onto the original scale. Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown. Item-level data of CBCL/1.5-5 from a large sample of young children ( = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses. Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status. The CBCL/1.5-5, a caregiver-report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets. This study systematically examines the measurement bias of the CBCL 1.5‐5 in a large, diverse sample (n = 9087). Questions from a commonly used measure of behavior problems in young children show bias depending on the language version administered (Spanish vs. English), educational level and sex of the caregiver respondent, as well as child’s age. Findings suggest that this questionnaire might not measure behavior problems in the same way for children with caregivers from diverse backgrounds. Recommendations are provided for bias‐reduced item sets with scores mapped onto the original scale. |
| Author | Zheng, Shuting Ghosh, Samiran LeWinn, Kaja Z. Rennie, Brandon Sullivan, Alexis Woodruff, Tracey J. Brennan, Patricia A. Bekelman, Traci A. Liu, Chang McGrath, Monica Marable, Carmen A. Lewis, Johnnye Churchill, Marie L. Hofheimer, Julie A. Leve, Leslie D. Zimmerman, Emily Leventhal, Bennett Ferrara, Assiamira Bishop, Somer Bastain, Theresa M. Margolis, Amy E. Nozadi, Sara S. Elliott, Amy J. Mansolf, Maxwell McEvoy, Cindy T. |
| AuthorAffiliation | 16 Department of Psychology Washington State University Pullman WA USA 15 Department of Pediatrics Pape Pediatric Research Institute Oregon Health & Science University Portland OR USA 3 Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD USA 6 Department of Psychiatry Columbia University Irving Medical Center New York State Psychiatric Institute New York NY USA 14 School of Medicine University of North Carolina at Chapel Hill Neuroscience Curriculum Chapel Hill NC USA 2 Department of Medical Social Sciences Feinberg School of Medicine Northwestern University Chicago IL USA 4 Department of Epidemiology Colorado School of Public Health Aurora CO USA 21 Navajo Birth Cohort Study Community Environmental Health Program College of Pharmacy University of New Mexico Albuquerque NM USA 12 Health Sciences Center Department of Pediatrics Center for Development and Disability University of New Mexico Navajo Birth Cohort Study Albuquerque NM USA 18 Department of Biostatis |
| AuthorAffiliation_xml | – name: 7 Community Environmental Health College of Pharmacy Health Sciences Center University of New Mexico Albuquerque NM USA – name: 15 Department of Pediatrics Pape Pediatric Research Institute Oregon Health & Science University Portland OR USA – name: 2 Department of Medical Social Sciences Feinberg School of Medicine Northwestern University Chicago IL USA – name: 19 University of Chicago Navajo Birth Cohort Study University of New Mexico Albuquerque NM USA – name: 20 Division of Research Kaiser Permanente Northern California Oakland CA USA – name: 22 Department of Psychiatry and Behavioral Sciences Weill Institute for Neurosciences University of California San Francisco CA USA – name: 4 Department of Epidemiology Colorado School of Public Health Aurora CO USA – name: 12 Health Sciences Center Department of Pediatrics Center for Development and Disability University of New Mexico Navajo Birth Cohort Study Albuquerque NM USA – name: 10 Department of Pediatrics Division of Neonatal‐Perinatal Medicine North Carolina at Chapel Hill Chapel Hill NC USA – name: 6 Department of Psychiatry Columbia University Irving Medical Center New York State Psychiatric Institute New York NY USA – name: 13 Communication Sciences & Disorders Northeastern University Boston MA USA – name: 14 School of Medicine University of North Carolina at Chapel Hill Neuroscience Curriculum Chapel Hill NC USA – name: 18 Department of Biostatistics and Data Science & Coordinating Center for Clinical Trials (CCCT) University of Texas School of Public Health Houston TX USA – name: 1 Department of Psychiatry and Behavioral Sciences University of California San Francisco CA USA – name: 3 Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD USA – name: 11 Prevention Science Institute University of Oregon Eugene OR USA – name: 21 Navajo Birth Cohort Study Community Environmental Health Program College of Pharmacy University of New Mexico Albuquerque NM USA – name: 8 Department of Population and Public Health Sciences University of Southern California Los Angeles CA USA – name: 9 Avera Research Institute Sioux Falls SD USA – name: 5 Department of Psychology Emory University Atlanta GA USA – name: 16 Department of Psychology Washington State University Pullman WA USA – name: 17 Center for Health and Community University of California San Francisco CA USA |
| Author_xml | – sequence: 1 givenname: Shuting orcidid: 0000-0002-0821-2716 surname: Zheng fullname: Zheng, Shuting email: shuting.zheng@ucsf.edu organization: University of California – sequence: 2 givenname: Maxwell surname: Mansolf fullname: Mansolf, Maxwell organization: Northwestern University – sequence: 3 givenname: Monica surname: McGrath fullname: McGrath, Monica organization: Johns Hopkins Bloomberg School of Public Health – sequence: 4 givenname: Marie L. surname: Churchill fullname: Churchill, Marie L. organization: Johns Hopkins Bloomberg School of Public Health – sequence: 5 givenname: Traci A. surname: Bekelman fullname: Bekelman, Traci A. organization: Colorado School of Public Health – sequence: 6 givenname: Patricia A. surname: Brennan fullname: Brennan, Patricia A. organization: Emory University – sequence: 7 givenname: Amy E. surname: Margolis fullname: Margolis, Amy E. organization: New York State Psychiatric Institute – sequence: 8 givenname: Sara S. surname: Nozadi fullname: Nozadi, Sara S. organization: University of New Mexico – sequence: 9 givenname: Theresa M. surname: Bastain fullname: Bastain, Theresa M. organization: University of Southern California – sequence: 10 givenname: Amy J. surname: Elliott fullname: Elliott, Amy J. organization: Avera Research Institute – sequence: 11 givenname: Kaja Z. surname: LeWinn fullname: LeWinn, Kaja Z. organization: University of California – sequence: 12 givenname: Julie A. surname: Hofheimer fullname: Hofheimer, Julie A. organization: North Carolina at Chapel Hill – sequence: 13 givenname: Leslie D. surname: Leve fullname: Leve, Leslie D. organization: University of Oregon – sequence: 14 givenname: Brandon surname: Rennie fullname: Rennie, Brandon organization: University of New Mexico – sequence: 15 givenname: Emily surname: Zimmerman fullname: Zimmerman, Emily organization: Northeastern University – sequence: 16 givenname: Carmen A. surname: Marable fullname: Marable, Carmen A. organization: University of North Carolina at Chapel Hill – sequence: 17 givenname: Cindy T. surname: McEvoy fullname: McEvoy, Cindy T. organization: Oregon Health & Science University – sequence: 18 givenname: Chang surname: Liu fullname: Liu, Chang organization: Washington State University – sequence: 19 givenname: Alexis surname: Sullivan fullname: Sullivan, Alexis organization: University of California – sequence: 20 givenname: Tracey J. surname: Woodruff fullname: Woodruff, Tracey J. organization: University of California – sequence: 21 givenname: Samiran surname: Ghosh fullname: Ghosh, Samiran organization: University of Texas School of Public Health – sequence: 22 givenname: Bennett surname: Leventhal fullname: Leventhal, Bennett organization: University of New Mexico – sequence: 23 givenname: Assiamira surname: Ferrara fullname: Ferrara, Assiamira organization: Kaiser Permanente Northern California – sequence: 24 givenname: Johnnye surname: Lewis fullname: Lewis, Johnnye organization: University of New Mexico – sequence: 25 givenname: Somer surname: Bishop fullname: Bishop, Somer organization: University of California |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38486952$$D View this record in MEDLINE/PubMed |
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| Copyright | 2023 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health. 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.1002/jcv2.12198 |
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| Keywords | psychometrics pre‐school children behavior problems behavioral measures |
| Language | English |
| License | Attribution http://creativecommons.org/licenses/by/4.0 2023 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
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| Notes | Shuting Zheng and Maxwell Mansolf contribute equally to this study. See Acknowledgments for full listing of collaborators ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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| References | 2009; 45 2017; 40 2021; 24 2005; 294 2005; 131 2019; 50 2017; 47 2010; 19 1995; 36 2000; 3 2019; 13 2019; 58 1992; 17 2014; 26 2016; 74 2002; 159 2010; 180 2007; 32 2001; 40 2014; 5 2021; 33 2001 2002; 41 2015; 135 1995; 25 2019; 23 2011; 20 2011; 68 2005; 70 2009; 18 2000; 28 2002; 30 2017; 26 2022; 192 2019; 32 1997; 25 2004; 45 2020; 80 2011; 40 2014; 49 1997 2006; 18 2021; 1–2 2004 2017; 175 1999; 6 2016; 55 2016; 4 2009; 30 2010; 49 2022 2006; 47 2001; 9 2003; 28 2012; 48 2012; 46 2016; 25 2010; 95 2010; 51 2007; 48 e_1_2_11_32_1 e_1_2_11_55_1 e_1_2_11_30_1 e_1_2_11_57_1 e_1_2_11_36_1 e_1_2_11_51_1 e_1_2_11_13_1 e_1_2_11_34_1 e_1_2_11_53_1 e_1_2_11_11_1 e_1_2_11_29_1 e_1_2_11_6_1 e_1_2_11_27_1 e_1_2_11_4_1 e_1_2_11_48_1 e_1_2_11_2_1 e_1_2_11_60_1 e_1_2_11_20_1 e_1_2_11_45_1 e_1_2_11_24_1 e_1_2_11_41_1 e_1_2_11_8_1 e_1_2_11_22_1 e_1_2_11_43_1 e_1_2_11_17_1 e_1_2_11_15_1 e_1_2_11_59_1 e_1_2_11_38_1 e_1_2_11_19_1 e_1_2_11_50_1 e_1_2_11_10_1 e_1_2_11_31_1 e_1_2_11_56_1 e_1_2_11_58_1 e_1_2_11_14_1 e_1_2_11_35_1 e_1_2_11_52_1 e_1_2_11_12_1 e_1_2_11_33_1 e_1_2_11_54_1 e_1_2_11_7_1 e_1_2_11_28_1 e_1_2_11_5_1 e_1_2_11_26_1 e_1_2_11_49_1 Achenbach T. M. (e_1_2_11_3_1) 2001 e_1_2_11_61_1 e_1_2_11_21_1 e_1_2_11_44_1 e_1_2_11_46_1 e_1_2_11_25_1 e_1_2_11_40_1 e_1_2_11_9_1 e_1_2_11_23_1 e_1_2_11_42_1 e_1_2_11_18_1 e_1_2_11_16_1 e_1_2_11_37_1 e_1_2_11_39_1 R Core Team (e_1_2_11_47_1) 2022 |
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| Snippet | Background
Research and clinical practice rely heavily on caregiver‐report measures, such as the Child Behavior Checklist 1.5–5 (CBCL/1.5‐5), to gather... Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about... Background Research and clinical practice rely heavily on caregiver‐report measures, such as the Child Behavior Checklist 1.5–5 (CBCL/1.5‐5), to gather... This study systematically examines the measurement bias of the CBCL 1.5‐5 in a large, diverse sample (n = 9087). Questions from a commonly used measure of... Abstract Background Research and clinical practice rely heavily on caregiver‐report measures, such as the Child Behavior Checklist 1.5–5 (CBCL/1.5‐5), to... |
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| SubjectTerms | Autism behavior problems behavioral measures Bias Bilingualism Caregivers Children & youth Childrens health Clinical significance Ethnicity Family income Inclusion Intellectual disabilities Investigations Missing data Original Preschool education pre‐school children psychometrics Quantitative psychology Variables |
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| Title | Measurement bias in caregiver‐report of early childhood behavior problems across demographic factors in an ECHO‐wide diverse sample |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjcv2.12198 https://www.ncbi.nlm.nih.gov/pubmed/38486952 https://www.proquest.com/docview/3090611281 https://www.proquest.com/docview/2958290553 https://pubmed.ncbi.nlm.nih.gov/PMC10933609 https://doaj.org/article/44dc1473a33d43fc8b31c5beb1de8c6c |
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