We evaluated the Extended Strengths and Weaknesses Assessment of Normal Behavior—General Instrument (E-SWAN-G), designed to capture core strengths and difficulties across the mental health spectrum. A youth version was completed by 603 parents and an adult version by 607 adults, each comprising 60 items. Exploratory and confirmatory factor analyses supported 13 identical first-order factors across the two versions: Concentrate/stay still, Tolerate closed/open spaces, Feel comfortable with body, Regulate distress, Regulate frustration, Perceive/understand others, Tolerate potentially dangerous situations, Communicate with others, Learn abstract concepts, Regulate motivation/energy, Tolerate messiness, Regulate sleep, and Abstain from substances. Internal consistency was mostly good to excellent, concurrent and incremental validity were supported, and scalar measurement invariance held across the two versions. A brief 32-item version, with conserved psychometric properties, was developed. The E-SWAN-G, which is freely available, shows promise as a concise tool for profiling core abilities across the mental health spectrum in both youth and adults.
AchenbachT. M. (2009). The Achenbach System of Empirically Based Assessment (ASEBA): Development, findings, theory, and applications. University of Vermont, Research Center for Children, Youth, & Families.
2.
AlexanderL. M.SalumG. A.SwansonJ. M.MilhamM. P. (2020). Measuring strengths and weaknesses in dimensional psychiatry. Journal of Child Psychology and Psychiatry, 61(1), 40–50.
3.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.).
4.
Arcos-BurgosM.JainM.AcostaM. T.ShivelyS.StanescuH.WallisD.DomeneS.VélezJ. I.KarkeraJ.BalogJ. (2010). A common variant of the latrophilin 3 gene, LPHN3, confers susceptibility to ADHD and predicts effectiveness of stimulant medication. Molecular Psychiatry, 15(11), 1053–1066.
5.
ArnettA. B.PenningtonB. F.FriendA.WillcuttE. G.ByrneB.SamuelssonS.OlsonR. K. (2013). The SWAN captures variance at the negative and positive ends of the ADHD symptom dimension. Journal of Attention Disorders, 17(2), 152–162.
6.
BeusenbergM.OrleyJ. H., & World Health Organization. (1994). A user’s guide to the Self Reporting Questionnaire (SRQ). World Health Organization.
7.
BirdH. R.ShafferD.FisherP.GouldM. S. (1993). The Columbia Impairment Scale (CIS): Pilot findings on a measure of global impairment for children and adolescents. International Journal of Methods in Psychiatric Research, 3, 167–176.
8.
BroseA.ScheibeS.SchmiedekF. (2013). Life contexts make a difference: Emotional stability in younger and older adults. Psychology and Aging, 28(1), 148.
9.
CaspiA.HoutsR. M.AmblerA.DaneseA.ElliottM. L.HaririA.HarringtonH.HoganS.PoultonR.RamrakhaS. (2020). Longitudinal assessment of mental health disorders and comorbidities across 4 decades among participants in the Dunedin Birth Cohort Study. Journal of the American Medical Association Network Open, 3(4), e203221–e203221.
10.
CervinM.Martí VallsC.MöllerS.FrickA.BjörkstrandJ.WatsonD. (2023). A psychometric evaluation of the expanded version of the Inventory of Depression and Anxiety Symptoms (IDAS-II) in children and adolescents. Assessment, 31, 588–601.
11.
CervinM.MiguelE. C.GülerA. S.FerrãoY. A.ErdoğduA. B.LazaroL.GökçeS.GellerD. A.YulafY.BaşgülŞ. S.ÖzcanÖ.KarabekiroğluK.FontenelleL. F.YazganY.StorchE. A.LeckmanJ. F.Conceição do RosarioM.Mataix-ColsD. (2021). Towards a definitive symptom structure of obsessive–compulsive disorder: A factor and network analysis of 87 distinct symptoms in 1366 individuals. Psychological Medicine, 52, 3267–3279.
12.
CostelloE. J.MustilloS.ErkanliA.KeelerG.AngoldA. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Arch Gen Psychiatry, 60(8), 837–844. https://doi.org/10.1001/archpsyc.60.8.837
13.
CroneE. A.DahlR. E. (2012). Understanding adolescence as a period of social–affective engagement and goal flexibility. Nature Reviews Neuroscience, 13(9), 636–650.
14.
CuthbertB. N.InselT. R. (2013). Toward the future of psychiatric diagnosis: The seven pillars of RDoC. BMC Medicine, 11, 126. https://doi.org/10.1186/1741-7015-11-126
15.
DuckworthA. L.QuinnP. D. (2009). Development and validation of the Short Grit Scale (GRIT–S). Journal of Personality Assessment, 91(2), 166–174.
16.
DuckworthA. L.QuinnP. D.TsukayamaE. (2021). Revisiting the factor structure of grit: A commentary on Duckworth and Quinn (2009). Journal of Personality Assessment, 103(5), 573–575.
17.
FriedE. I.NesseR. M. (2015). Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR* D study. Journal of Affective Disorders, 172, 96–102.
18.
GoodmanS. H.HovenC. W.NarrowW. E.CohenP.FieldingB.AlegriaM.LeafP. J.KandelD.HorwitzS. M.BravoM. (1998). Measurement of risk for mental disorders and competence in a psychiatric epidemiologic community survey: The National Institute of Mental Health Methods for the Epidemiology of Child and Adolescent Mental Disorders (MECA) study. Social Psychiatry and Psychiatric Epidemiology, 33, 162–173.
19.
GrevenC. U.BuitelaarJ. K.SalumG. A. (2018). From positive psychology to psychopathology: The continuum of attention-deficit hyperactivity disorder. Journal of Child Psychology and Psychiatry, 59(3), 203–212.
20.
GrevenC. U.MerwoodA.van der MeerJ. M.HaworthC. M.RommelseN.BuitelaarJ. K. (2016). The opposite end of the attention deficit hyperactivity disorder continuum: Genetic and environmental aetiologies of extremely low ADHD traits. Journal of Child Psychology and Psychiatry, 57(4), 523–531.
21.
Gutiérrez-ColinaA. M.LeeJ. L.Reed-KnightB.HayutinL.LewisJ. D.BlountR. L. (2017). The Pediatric Symptom Checklist: Comparison of symptom profiles using three factor structures between pediatric gastroenterology and general pediatric patients. Children’s Health Care, 46(4), 315–330.
22.
HartshorneJ. K.GermineL. T. (2015). When does cognitive functioning peak? The asynchronous rise and fall of different cognitive abilities across the life span. Psychological Science, 26(4), 433–443.
23.
HayD. A.BennettK. S.LevyF.SergeantJ.SwansonJ. (2007). A twin study of attention-deficit/hyperactivity disorder dimensions rated by the strengths and weaknesses of ADHD-symptoms and normal-behavior (SWAN) scale. Biological Psychiatry, 61(5), 700–705.
24.
HirschfeldG.Von BrachelR. (2014). Multiple-Group confirmatory factor analysis in R-A tutorial in measurement invariance with continuous and ordinal indicators. Practical Assessment, Research & Evaluation, 19(7). https://files.eric.ed.gov/fulltext/EJ1038101.pdf
25.
HuL.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.
26.
HuppertF. A.SoT. T. (2013). Flourishing across Europe: Application of a new conceptual framework for defining well-being. Social Indicators Research, 110(3), 837–861.
27.
InselT.CuthbertB.GarveyM.HeinssenR.PineD. S.QuinnK.SanislowC.WangP. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167(7), 748–751. https://doi.org/10.1176/appi.ajp.2010.09091379
28.
JellinekM. S.MurphyJ. M.RobinsonJ.FeinsA.LambS.FentonT. (1988). Pediatric Symptom Checklist: Screening school-age children for psychosocial dysfunction. The Journal of Pediatrics, 112(2), 201–209.
29.
KotovR.KruegerR. F.WatsonD.AchenbachT. M.AlthoffR. R.BagbyR. M.BrownT. A.CarpenterW. T.CaspiA.ClarkL. A. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126(4), 454.
30.
LakesK. D.SwansonJ. M.RiggsM. (2012). The reliability and validity of the English and Spanish strengths and weaknesses of ADHD and normal behavior rating scales in a preschool sample: Continuum measures of hyperactivity and inattention. Journal of Attention Disorders, 16(6), 510–516.
31.
LampropoulosG. K. (2001). Integrating psychopathology. Positive Psychology, and Psychotherapy, 56, 87–88.
32.
MeierL. L.OrthU.DenissenJ. J.KühnelA. (2011). Age differences in instability, contingency, and level of self-esteem across the life span. Journal of Research in Personality, 45(6), 604–612.
33.
MerikangasK. R.HeJ. P.BursteinM.SwansonS. A.AvenevoliS.CuiL.BenjetC.GeorgiadesK.SwendsenJ. (2010). Lifetime prevalence of mental disorders in U.S. adolescents: Results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 49(10), 980–989.
NesseR. M. (2023). Evolutionary psychiatry: Foundations, progress and challenges. World Psychiatry, 22(2), 177–202.
36.
PattonG. C.SawyerS. M.SantelliJ. S.RossD. A.AfifiR.AllenN. B.AroraM.AzzopardiP.BaldwinW.BonellC. (2016). Our future: A Lancet commission on adolescent health and wellbeing. The Lancet, 387(10036), 2423–2478.
ReiseS. P.WallerN. G. (2009). Item response theory and clinical measurement. Annual Review of Clinical Psychology, 5, 27–48.
39.
RosseelY. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 1–36.
40.
SchaeferJ. D.CaspiA.BelskyD. W.HarringtonH.HoutsR.HorwoodL. J.HussongA.RamrakhaS.PoultonR.MoffittT. E. (2017). Enduring mental health: Prevalence and prediction. Journal of Abnormal Psychology, 126(2), 212–224.
41.
SmollerJ. W.AndreassenO. A.EdenbergH. J.FaraoneS. V.GlattS. J.KendlerK. S. (2019). Psychiatric genetics and the structure of psychopathology. Molecular Psychiatry, 24(3), 409–420.
42.
SolmiM.RaduaJ.OlivolaM.CroceE.SoardoL.de PabloG. S.ShinJ. I.KirkbrideJ. B.JonesP.KimJ. H. (2021). Age at onset of mental disorders worldwide: Large-scale meta-analysis of 192 epidemiological studies. Molecular Psychiatry, 27, 281–295.
43.
SteelZ.MarnaneC.IranpourC.CheyT.JacksonJ. W.PatelV.SiloveD. (2014). The global prevalence of common mental disorders: A systematic review and meta-analysis 1980-2013. International Journal of Epidemiology, 43(2), 476–493. https://doi.org/10.1093/ije/dyu038
44.
SwansonJ. M.SchuckS.PorterM. M.CarlsonC.HartmanC. A.SergeantJ. A.ClevengerW.WasdellM.McClearyR.LakesK. (2012). Categorical and dimensional definitions and evaluations of symptoms of ADHD: History of the SNAP and the SWAN rating scales. The International Journal of Educational and Psychological Assessment, 10(1), 51–70.
45.
ÜstünT. B. (2010). Measuring health and disability: Manual for WHO disability assessment schedule WHODAS 2.0. World Health Organization.
46.
VolkowN. D.WangG.-J.KollinsS. H.WigalT. L.NewcornJ. H.TelangF.FowlerJ. S.ZhuW.LoganJ.MaY. (2009). Evaluating dopamine reward pathway in ADHD: Clinical implications. Journal of the America Medical Association, 302(10), 1084–1091.
47.
WatsonD.O’HaraM. W.Naragon-GaineyK.KoffelE.ChmielewskiM.KotovR.StasikS. M.RuggeroC. J. (2012). Development and validation of new anxiety and bipolar symptom scales for an expanded version of the IDAS (the IDAS-II). Assessment, 19(4), 399–420. https://doi.org/10.1177/1073191112449857
