<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Evaluating the quality of evidence of clinical interventions for children aged 6-12 years old with ADHD: Preregistration documents</titl><IDNo agency="DOI">doi:10.21979/N9/Z0C55J</IDNo></titlStmt><distStmt><distrbtr source="archive">DR-NTU (Data)</distrbtr><distDate>2023-02-24</distDate></distStmt><verStmt source="archive"><version date="2023-02-24" type="RELEASED">1</version></verStmt><biblCit>Tan, Chingwen; Lau, Joey PQ; Styles, Suzy J, 2023, "Evaluating the quality of evidence of clinical interventions for children aged 6-12 years old with ADHD: Preregistration documents", https://doi.org/10.21979/N9/Z0C55J, DR-NTU (Data), V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Evaluating the quality of evidence of clinical interventions for children aged 6-12 years old with ADHD: Preregistration documents</titl><IDNo agency="DOI">doi:10.21979/N9/Z0C55J</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Nanyang Technological University">Tan, Chingwen</AuthEnty><AuthEnty affiliation="Nanyang Technological University">Lau, Joey PQ</AuthEnty><AuthEnty affiliation="Nanyang Technological University">Styles, Suzy J</AuthEnty></rspStmt><prodStmt><software>Adobe PDF</software></prodStmt><distStmt><distrbtr source="archive">DR-NTU (Data)</distrbtr><contact affiliation="Nanyang Technological University">Styles, Suzy J</contact><depositr>Styles, Suzy J</depositr><depDate>2023-01-12</depDate></distStmt><holdings URI="https://doi.org/10.21979/N9/Z0C55J"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword>Social Sciences</keyword><keyword>ADHD</keyword><keyword>Research Quality</keyword><keyword>Intervention</keyword><keyword>Systematic Review</keyword></subject><abstract date="2023-02-23">Preregistration documents for a FYP project in Psychology

Studies have found that mental health problems in children have long-term negative consequences such as lower educational attainment, and later in life, lower wages and a higher likelihood of committing crimes (Cuellar, 2015). Therefore, it is important that treatments for child mental disorders are readily available and can successfully ameliorate symptoms of these disorders. Attention-deficit hyperactivity disorder (ADHD) is one of the most commonly diagnosed mental health disorders in children. Over the years, many interventions have emerged for the treatment of ADHD. Clinical interventions such as medication, cognitive behavioural therapy (CBT) and combined treatments have reported significant reduction of ADHD symptoms in children. 

However, poorly designed clinical interventions could compromise the conclusions of ADHD studies. The current quality of evidence of research for ADHD clinical interventions varies. As a result, therapists may choose to ignore biases or implement certain treatments albeit poor quality of evidence in the research for the treatment. This poses some risks to children with clinically diagnosed ADHD as they might not be treated with grounded evidence-based practices. Therefore, it is important to conduct a systematic review of the available research on ADHD clinical interventions as it provides an unbiased lens to assess the state of the research landscape and evaluate the quality of evidence of ADHD clinical interventions. This helps therapists to be more informed about the current research landscape and make better-informed decisions when creating a treatment plan for children diagnosed with ADHD.</abstract><sumDscr><dataKind>Preregistration documents</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOA" level="dv">These files are under embargo until project completion</notes><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr><otherMat ID="f109834" URI="https://researchdata.ntu.edu.sg/api/access/datafile/109834" level="datafile"><labl>Tan_Lau_Styles_23_SysRev_ADHD_Data_Extraction_Table.xlsx</labl><txt>Data Extraction Table</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</notes></otherMat><otherMat ID="f109836" URI="https://researchdata.ntu.edu.sg/api/access/datafile/109836" level="datafile"><labl>Tan_Lau_Styles_23_SysRev_ADHD_Preregistration.pdf</labl><txt>Preregistration</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f109838" URI="https://researchdata.ntu.edu.sg/api/access/datafile/109838" level="datafile"><labl>Tan_Lau_Styles_23_SysRev_ADHD_PRISMA-P_Codebook.pdf</labl><txt>PRISMA-P Codebook</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat><otherMat ID="f109833" URI="https://researchdata.ntu.edu.sg/api/access/datafile/109833" level="datafile"><labl>Tan_Lau_Styles_23_SysRev_ADHD_PRISMA-P.pdf</labl><txt>PRISMA-P</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat></codeBook>