Date |
Topic |
Video |
Material |
2016-10-17 |
- Introduction and Outline of the lecture
- Repetition of the basic ideas of Classical Test Theory (CTT)
- Models of CTT
- The model of essentially tau-equivalent variables
|
Video (Stream)
|
Slides (Organizational Issues & Repeating the Essentials of Classical Test Theory)
Slides (Model of essentially tau-equivalent tests)
Blackboard sketches
|
2016-10-24 |
- The model of essentially tau-equivalent variables (continued)
- The role of latent variables in Psychology
- The logit transformation of probabilities
- The definition of the latent variable in the Rasch model
- Rasch homogeneity
- U-Conditional independence of the items
- An example with Joe and Ann illustrating the Rasch model
|
Video (Stream)
|
Slides
|
2016-11-07 |
- Rabix, a program for explorating the Rasch model and the Birnbaum model
- Itemcharacteristic functions
- Likelihood functions
- Estimation of the person parameter using maximum likelihood
- Item information functions
- Test information function
- Standard error function for the estimation of the person parameter
- Identification of the item parameters
|
Video (Stream)
|
Slides
Rabix
Blackboard sketch 01
Blackboard sketch 02
|
2016-11-14 |
- The life-satisfaction data
- Recoding of the negatively formulated items
- Analysis of the life-satisfaction data with the Rasch modell (WINMIRA)
- Person parameter estimation
- Item parameter estimation
|
Video (Stream)
|
Material
|
2016-11-21 |
- Interpretation of the Q-statistics in Winmira for the items
- Bootstrap model test
- Generating data according to the Rasch modell
- Analysis of the generated data with Winmira
- Generating data according to the Birnbaum model
- Analysis of the generated data with Winmira, in particular the Q-statistics and bootstrap procedure
- Generating data according to the Birnbaum model according to a latent variable model with two latent variables
- Analysis of the generated data with Winmira
|
Video (Stream)
|
Material
Blackboard sketch 01
Blackboard sketch 02
|
2016-11-28 |
- Summary presentation of the Birnbaum 2-PL-model
- Summary presentation of the Birnbaum 3-PL-model (with guessing parameter)
- Analysis of the life satisfaction scale according to the Rasch model with Mplus
- Discussion of the Mplus Input and Output for this model
|
Video (Stream)
|
Slides (The two parameter logistic Birnbaum model)
Slides (The three parameter logistic Birnbaum model)
Mplus-In- and Outputs
Blackboard sketch 01
Blackboard sketch 02
|
2016-12-05 |
- Specification of the 2PL-Birnbaum model in Mplus for the life satisfaction data
- Test of the hypothesis: „The Rasch model holds“ using the Wald test
- Specification of the 2PL-Birnbaum model in Mplus for generated data that follow the Birnbaum model.
- Test of the hypothesis: „The Rasch model holds“ using the Wald test for these data that follow the Birnbaum model
|
Video (Stream)
|
Material
Blackboard sketch
|
2016-12-12 |
- A first two-dimensional IRT model with an own latent variable for the positively and for the negatively formulated items. A first alternative to the Birnbaum model
- Testing the hypothesis: The correlation between the two latent variables is 1.
- The general structural model for the latent variables and the matrices involved in this model.
- An alternative way of testing the hypothesis mentioned above. The regression of Xi2 on Xi1 is perfect. (The variance of the residual is 0).
|
Video (Stream)
|
Material
Blackboard sketches
|
2016-12-19 |
- Rasch and Birnbaum analog probit models
- Model test in these models
- A two-dimensional probit model
- Data generation according to the Birnbaum analog probit model
|
Video (Stream)
|
Material
Blackboard sketches
|
2017-01-02 |
- Link functions and response functions in the logit model and in the probit model
- Assumptions defining the logit model and the probit model
- Factor analytic representation of the probit model
- Relationships between the parameters of different models and parameterizations
- Analysis of the probit model using generated data
- First ideas of item response latent state-trait theory
|
Video (Stream)
|
Slides
Mplus-In- and Outputs
Blackboard sketch 01
Blackboard sketch 02
|
2017-01-09 |
- Basic ideas of latent state-trait-theory
- Singletrait model, multistate model and multistate-singletrait model
- Analysis of a probit multistate model with the life-satisfaction scale (3 times points)
- Analysis of this model with the additional constraint: The correlations of the three latent state variables are equal to 1
- Analysis of a probit singletrait model with the life-satisfaction scale (3 times points)
- Differences between the last two models
|
Video (Stream)
|
Mplus-In- and Outputs
Blackboard sketches
|
2017-01-16 |
- The Partial Credit Model
- U-conditional threshold-probabilities
- The two assumptions defining the Partial Credit Model and the definition of the latent variable
- Interpretation of the threshold parameters
- Graphs of the U-conditional threshold-probabilities for different categories as a function of the latent variable
- Graphs of the U-conditional probabilities for different categories as a function of the latent variable
- Ways of fixing the (version of the) latent variable
- Using the Partial Credit Model for four items of the scale „well-being“ of the Multidimensional Mood State Questionnaire with Winmira.
- Interpretation of the output of Winmira
|
Video (Stream)
|
Winmira-Outputs
Blackboard sketch
|
2017-01-23 |
- Graded Response Model (GRM) with logit and probit link functions
- Basic assumptions and their implications for the category probabilities
- Thresholds and discrimination parameters in these models
- Application of the probit GRM for the data of the well-being scale of the MDMQ at time 1
- Fixing the scale of the latent variables
- Generalizing the probit GRM to a latent state model for three time points
|
Video (Stream)
|
Slides (updated 2017-01-27)
Mplus-In- and Outputs
Blackboard sketch 01
Blackboard sketch 02
|
2017-01-30 |
|
Video (Stream)
|
Slides
Blackboard sketch
|