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jnl:hobart2009 [2021/03/12 13:05]
admin created
jnl:hobart2009 [2021/03/18 07:26] (current)
admin added chapter 2
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 ===== Improving the evaluation of therapeutic interventions in multiple sclerosis: The role of new psychometric methods. ===== ===== Improving the evaluation of therapeutic interventions in multiple sclerosis: The role of new psychometric methods. =====
  
-==== New psychometric methods ====+==== Chapter 1 ==== 
 +=== New psychometric methods ===
 Rasch measurement vs Item response theory Rasch measurement vs Item response theory
  
-==== Traditional psychometric methods  ====+=== Traditional psychometric methods  ===
  
   - psychometric -- originally psychology but now broadened   - psychometric -- originally psychology but now broadened
   - psychometric: methods for developing and evaluating rating scales, and for analyzing their data   - psychometric: methods for developing and evaluating rating scales, and for analyzing their data
      
-=== Rating scales ====+=== Rating scales ===
  
   - for properties that we can't measure directly e.g. happiness, disability (vs weight)   - for properties that we can't measure directly e.g. happiness, disability (vs weight)
-  - latent traits -- "inferred variabllle" = aka 'property', 'trait', 'concept', 'aspect'+  - latent traits -- "inferred variable" = aka 'property', 'trait', 'concept', 'aspect'
   - Dichotomous (RMI) vs polytomous (3 or more)    - Dichotomous (RMI) vs polytomous (3 or more) 
   - Direct also opposite RMI vs MSIS-29   - Direct also opposite RMI vs MSIS-29
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   * Data quality   * Data quality
   * scaling (assumptions)   * scaling (assumptions)
-  * targetting+  * targeting
   * reliability   * reliability
   * validity   * validity
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   - scaling   - scaling
  
-=== Source ===+====Chapter 2 New Psychometric Methods    2021-03-13 (1)==== 
 + 
 +===Overview=== 
 + 
 +  - Traditionally use Likert summated ratings --> cannot verify data 
 +  - New: theories can be formally and rigorously tested 
 +    - IRT & Rasch: different origins, perspectives and proponents 
 +    - weak theory --> weak conclusions -- we need strong theory (IRT and Rasch) 
 +   
 +  - Mathematical relations between variables and events enables __checking, prediction, analysis__ (refine model, review data) 
 +   
 +  
 + New methods also concern the relationship between the TRUE and OBSERVABLE score, BUT also 
 +  
 + 
 +   "focus on the UNOBSERVABLE measurement on the underlying trait and the probability of responding to one of the the response categories of a scale item" 
 +    
 +   Therefore a focus change to ITEM rather than TOTAL SCORE 
 +    
 + ====History==== 
 +  
 +   - IRT: Louis Thurstone UC, Frederick Lord - Educational Testing Service 
 +   - Georg Rasch, Copenhagen - Poisson; each Student as an individual 
 +     - Stability: __item locations__ and __person locations__ could be estimated independently of each other 
 +     - Mathematical model given primacy == 'justification for model selection is theoretical evidence of its suitability' 
 +     - {if data doesn't fit model, change the data, not the model?} 
 +  
 +===Why Rasch is better than IRT=== 
 + 
 +==== Source ====
  
 Hobart, J., & Cano, S. (2009). Improving the evaluation of therapeutic interventions in multiple sclerosis: The role of new psychometric methods. Health Technology Assessment, 13(12). https://doi.org/10.3310/hta13120 Hobart, J., & Cano, S. (2009). Improving the evaluation of therapeutic interventions in multiple sclerosis: The role of new psychometric methods. Health Technology Assessment, 13(12). https://doi.org/10.3310/hta13120
  
-=== Meta ===+==== Meta ====
  
-  - created: 2021-03-11+  - created: 2021-03-11 with chapter 1 
 +  - 2021-03-18 added chapter 2
jnl/hobart2009.1615554348.txt.gz · Last modified: 2021/03/12 13:05 by admin