Start with the decision you need to make | Check sample size and rating assignments | Choose what the response model needs to explain | Choose how Person ability enters estimation | Which combinations are currently implemented? | Check the population scale before comparing results | Why not start with the most complex model? | Compare conclusions, not just fit statistics | Continue to the analysis and reporting

Choose report sections by question | Start with an editable GPCM report | 1. Fit once and retain the analysis record | Show what was planned, observed, and excluded | 2. Check uncertainty and fit before writing the answer | 3. Show estimates, uncertainty, and the answer | Keep separation, agreement, and category functioning distinct | If the question concerns observed versus adjusted scores | If the score will determine pass or fail | A short Methods and Results example | 4. Review gaps and generate draft text | Manuscript coverage map | 5. Save the analysis and complete the references | References

Find a figure by purpose | Latent regression: coefficients and specified comparisons | Connect a figure to a claim | Minimal setup | 1. Targeting and scale structure | Establish what higher scores mean | Wright map | Fit pathway | Category probabilities | 2. Local response and level issues | Strict marginal follow-up | 3. Linking and coverage | 4. Residual structure and interaction screens | Checking one substantive dimension without fitting a multidimensional model | Shared Persons, sparse assignment and the choice of PCA columns | A residual block is not automatically another substantive ability | Residual networks, EGA and the assignment graph answer different questions | 5. Custom figures without losing the evidence boundary | Save a figure with its values and notes | Set an appearance once for several plots | Use a common title argument | Fair Scores and annotations outside the figure | 6. Secondary visual layer | Save the agreement result and its review rules | Response-time QC context | Small-N shrinkage with uncertainty | 7. Attributes and assessment planning | External-feature hierarchy | D-study planning | Portable score-batch review | Recommended sequence | Related help

Choose the result you need | Put the network at the stage its edges describe | Quick start | Inspect individual estimates | Check what needs review | Use your own CSV | 1. Read and inspect the file | 2. Review the rows and the rubric | 3. Fit and read the results | If a check stops you | If criteria occupy separate columns | Continue with diagnostics and reporting | 1. Check the data and estimation record | 2. Read precision and model fit before interpreting differences | 3. Identify what needs closer inspection | 4. Assemble the evidence for a report | 5. Display a table and save the analysis | Further analyses should answer a stated question | An observed writing-assessment example

Define the score and the population | Is a criterion a facet or a score? | Load ratings and inspect their design | Inspect the sources of variation | Compare feasible assessment plans | Explain which error sources change | Read a planning curve | Ask about a change, not just two separate intervals | Connect the comparison to resources and targets | Save the result and know which operation to use | Report the assessment-planning answer | Adapt the question to another setting | Examine a construct claim | Other designs and uncertainty questions | Common tasks without a rater facet | Different rater teams for each task | Compare interval methods on one shared axis | Incomplete data or unavailable results | Where to find calculations, assumptions and references