Comparison of models of premorbid IQ estimation using the TOPF, OPIE-3, and Barona equation, with corrections for the Flynn effect
OBJECTIVE: Premorbid estimates of intellectual functioning are a key to assessment. This study aimed to compare 3 common measures and assess their accuracy: the Test of Premorbid Functioning (TOPF), Oklahoma Premorbid Intelligence Estimate (OPIE-3), and what is commonly referred to as the Barona equation. We also sought to provide appropriate adjustment considering the Flynn effect.
METHOD: The sample consisted of a cross-section of 189 outpatient veterans receiving neuropsychological assessment including the TOPF and Wechsler Adult Intelligence Scale, 4th ed. (WAIS-IV). Paired sample t tests assessed differences between IQ models. Correlations for all models and actual WAIS-IV Full Scale IQ (FSIQ) to establish which model best predicted variance in current IQ. Mean differences were evaluated to establish how closely the models approximated WAIS-IV FSIQ.
RESULTS: The Barona equation estimated higher premorbid IQ than TOPF Simple Demographics Model; however, differences between the models were nonsignificant after a Flynn effect correction for the Barona equation (.23 IQ points per year). The OPIE-3 correlated with FSIQ but overestimated the FSIQ, demonstrating the Flynn effect. TOPF performance models (include word reading) characterized the variance of IQ scores best, but the Flynn-adjusted Barona equation had the smallest mean difference from the actual WAIS-IV FSIQ of any prediction model.
CONCLUSION: Demographic models for premorbid IQ accurately estimate IQ in adult populations when normed on the test used to measure IQ, or when adjusted for the Flynn effect. A Flynn-corrected Barona score provided a more accurate estimation of WAIS-IV FSIQ than the TOPF or the OPIE-3. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2020 |
|---|---|
| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:34 |
|---|---|
| Enthalten in: |
Neuropsychology - 34(2020), 1 vom: 06. Jan., Seite 43-52 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Kirton, Joshua W [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 26.03.2020 Date Revised 04.12.2021 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1037/neu0000569 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM300251351 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM300251351 | ||
| 003 | DE-627 | ||
| 005 | 20231225102117.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1037/neu0000569 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1000.xml |
| 035 | |a (DE-627)NLM300251351 | ||
| 035 | |a (NLM)31414828 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Kirton, Joshua W |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Comparison of models of premorbid IQ estimation using the TOPF, OPIE-3, and Barona equation, with corrections for the Flynn effect |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 26.03.2020 | ||
| 500 | |a Date Revised 04.12.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVE: Premorbid estimates of intellectual functioning are a key to assessment. This study aimed to compare 3 common measures and assess their accuracy: the Test of Premorbid Functioning (TOPF), Oklahoma Premorbid Intelligence Estimate (OPIE-3), and what is commonly referred to as the Barona equation. We also sought to provide appropriate adjustment considering the Flynn effect | ||
| 520 | |a METHOD: The sample consisted of a cross-section of 189 outpatient veterans receiving neuropsychological assessment including the TOPF and Wechsler Adult Intelligence Scale, 4th ed. (WAIS-IV). Paired sample t tests assessed differences between IQ models. Correlations for all models and actual WAIS-IV Full Scale IQ (FSIQ) to establish which model best predicted variance in current IQ. Mean differences were evaluated to establish how closely the models approximated WAIS-IV FSIQ | ||
| 520 | |a RESULTS: The Barona equation estimated higher premorbid IQ than TOPF Simple Demographics Model; however, differences between the models were nonsignificant after a Flynn effect correction for the Barona equation (.23 IQ points per year). The OPIE-3 correlated with FSIQ but overestimated the FSIQ, demonstrating the Flynn effect. TOPF performance models (include word reading) characterized the variance of IQ scores best, but the Flynn-adjusted Barona equation had the smallest mean difference from the actual WAIS-IV FSIQ of any prediction model | ||
| 520 | |a CONCLUSION: Demographic models for premorbid IQ accurately estimate IQ in adult populations when normed on the test used to measure IQ, or when adjusted for the Flynn effect. A Flynn-corrected Barona score provided a more accurate estimation of WAIS-IV FSIQ than the TOPF or the OPIE-3. (PsycINFO Database Record (c) 2020 APA, all rights reserved) | ||
| 650 | 4 | |a Comparative Study | |
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Soble, Jason R |e verfasserin |4 aut | |
| 700 | 1 | |a Marceaux, Janice C |e verfasserin |4 aut | |
| 700 | 1 | |a Messerly, Johanna |e verfasserin |4 aut | |
| 700 | 1 | |a Bain, Kathleen M |e verfasserin |4 aut | |
| 700 | 1 | |a Webber, Troy A |e verfasserin |4 aut | |
| 700 | 1 | |a Fullen, Chrystal |e verfasserin |4 aut | |
| 700 | 1 | |a Alverson, W Alexander |e verfasserin |4 aut | |
| 700 | 1 | |a McCoy, Karin J M |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Neuropsychology |d 1996 |g 34(2020), 1 vom: 06. Jan., Seite 43-52 |w (DE-627)NLM088717283 |x 1931-1559 |7 nnns |
| 773 | 1 | 8 | |g volume:34 |g year:2020 |g number:1 |g day:06 |g month:01 |g pages:43-52 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1037/neu0000569 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 34 |j 2020 |e 1 |b 06 |c 01 |h 43-52 | ||