Frequently asked questions

What is the content of the database?

The NeuroPsychNorms database contains normative data from peer-reviewed studies replaced to more the 50 measures. Overall, more than 1000+ studies on the different measures were input.

Currently available measures (68)

  1. [9HolePeg] Nine-Hole Peg
  2. [ACE_R] Addenbrooke's Cognitive Examination Revised
  3. [ACT] Auditory Consonant Trigrams
  4. [AQT] Alzheimer's Quick Test
  5. [BDAE_CIM] BDAE Complex Ideational Material
  6. [BNT] Boston Naming Test
  7. [BNT15] Boston Naming Test-15 item
  8. [BVMT_R] Brief Visuospatial Memory Test Revised
  9. [BVRT] Benton Visual Retention Test
  10. [CAN] Cancellation Tests
  11. [CCPT_II] Conners Continuous Performance Test-II
  12. [CCT] Children's Category Test
  13. [CLOX] CLOX
  14. [CSMC_NP5] CSMC NP Battery 5
  15. [CT] Category Test
  16. [CTT] Color Trails Test
  17. [C_Stroop] Comalli_Stroop
  18. [DFT] Design Fluency Test
  19. [DigitSpan] Digit Span
  20. [DigSym] Coding (Digit Symbol)
  21. [DYNA] Grip Strength Test
  22. [EIWA] Escala de Inteligencia Wechsler para Adultos
  23. [FAB] Frontal Assessment Battery
  24. [FOME] Fuld Object-Memory Evaluation
  25. [FT] Finger Tapping Test
  26. [GPT] Grooved Pegboard Test
  27. [G_Stroop] Golden_Stroop
  28. [HDS] HIV Dementia Scale
  29. [HVLT] Hopkins Verbal Learning Test
  30. [HVOT] Hooper Visual Organization Test
  31. [IGT] Iowa Gambling Task
  32. [JLO] Judgement of Line Orientation
  33. [MDRS] Mattis Dementia Rating Scale
  34. [MMSE] Mini-Mental Status Exam
  35. [MoCA] Montreal Cognitive Assessment
  36. [NCSE] Cognistat
  37. [NeSBHIS] Neuropsychological Screening Battery for Hispanics
  38. [NEUROPSI1] Evaluación Neuropsicológica Breve en Español
  41. [NIHToolboxCog] NIH Toolbox Cognition Battery
  42. [OTT] Orals Trails Test
  43. [PASAT] Paced Auditory Serial Addition Test
  44. [PerriAVLT] Perri Auditory Verbal Learning Test
  45. [RavensPMT] Raven's Progressive Matrices Test
  46. [RBANS] Repeatable Battery for the Assessment of Neuropsychological Status
  47. [R_OCF] Rey-Osterrieth Complex Figure
  48. [SDMT] Symbol Digit Modality Test
  49. [SemiCF] Semicomplex Figure
  50. [SPM] Raven's Standard Progressive Matrices
  51. [SPNP11LA] Spanish-Language NP Tests in Eleven Latin American Countries
  52. [SPNP9LA_Peds] Spanish-Language NP Test in 9 Latin American Countries-Peds
  53. [Stroop_H] Hammes_Stroop
  54. [Stroop_K] Kaplan_Stroop
  55. [Stroop_V] Stroop_Victoria
  56. [TMAANS] Texas Mexican American Adult Normative Studies_1
  57. [TMT] Trailmaking Test
  58. [TPT] Tactual Performance Test
  59. [VF] Verbal Fluency Test
  60. [VFDT] Visual Form Discrimination Test
  61. [WAIS_III] Wechsler Adult intelligence Scale III
  62. [WAIS_IV_Mexico] WAIS-IV (Mexico)
  63. [WCST] Wisconsin Card Sorting Test
  64. [WCST_128] Wisconsin Card Sorting Test-128
  65. [WCST_64] Wisconsin Card Sorting Test-64 Card
  66. [WCST_M] Wisconsin Card Sorting Test-Modified Version
  68. [WRMT_Words] Warrington Recognition Memory Test–Words
    More measures coming soon

In addition to normative data added by the NeuroPsychNorms team to the database, you are more than welcome to suggest studies containing new uncollected data or even measures for which we do not have any data at all.

While our literature tended to focus on normative data and/or control subjects on an experimental trial, the database also includes abnormal data (e.g., TBI, dementia, stroke) and unique data (e.g., re-test data and under other unique conditions). Again, feel free to suggest new studies with abnorms and unique conditions to an existing measure.

The database is configured so you can sort the data easily by the N-size, Demographics or Year. Number of Demographic Stratifications is determined by the number of Stratification types that the study separates their data based on demographic information. For example, if the data of a study is separated by Age, Education, and Gender Identity, this will be at a higher rank than a 2-tier stratification (Age and Education).

What is the methodology used?

  1. Which measures?

    After comprehensively searching the neuropsychological literature, we determined which measures we deemed important to include normative data for the database. We sought out the most commonly neuropsychological measures currently used in both clinical and research settings. We made an effort to focus on cross-cultural neuropsychological measures utilized in the neuropsychological literature, due to the scarcity of these neuropsychological studies.
    Normative data provided by NeuroPsychNorms are collected from peer-reviewed studies.

  2. Which variables?

    After comprehensively looking at each measure we selected, we determined which raw data is commonly scored throughout the literature. For example, the Trail Making Test commonly utilizes scores for Trial A and B while some studies provide B-A, or B+A, B-A/B and errors. We did not include those specific measures in the database.

  3. Means and standard deviations?

    In order for the scoring program to function, the studies must provide means and standard deviations of the measure's variables. As a consequence, we excluded from our database studies which do not include both a Mean and Standard Deviation of a variable.

  4. Stratification of Data?

    If the normative data was not stratified (based on demographics, such as age, education, and gender identity), which is common for control studies comparing an experimental group, an age range was at minimum required to be included in the database. While age was required, we find that education to be important but not required. We included those studies even if they did not report any information on education. Some studies gave also information such as a ratio of males to females but did not actually separate their data based on this gender identity demographic. Stratified data includes gender identity stratification only if the study actually provided separate scores based on gender.

    Number of Demographic Stratifications is determined by the number of Stratification types that the study separates their data based on demographic information. The most common types are age, gender identity, and education. For example, if the data of a study is separated by these three demographic information, the study will have a higher rank than a 2-tier stratification. The program has the capacity to rank based on the number of stratifications by selecting the Demographics button next to the Enter button.

  5. Presentation of scored data?

    Scored data are presented by providing a z-score and precentiles only, at this time.

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