Hi Luis,

it seems that you have specified a five-dimensional model. For each dimension, ConQuest estimates five PVs (default). So, the columns are: PV no.1 for dimension no. 1 (PV1_D1), PV no.1 for dimension no. 2 (PV1_D2), ... , PV no.5 for dimension no. 5 (PV5_D5).

*[The author of this reply suggested to average the 5 PVs of each domain, but that is incorrect. Never average them, it will give biased results. Instead, you need to compute each statistic 5 times and take the average of the 5 statistics (for example, you compute a mean with each PV and then you average the 5 means). If you need an unbiased shortcut, you can use one of the 5 plausible values. The PISA data analysis manual, second edition (OECD), explains working with plausible values in detail. Eveline Gebhardt]*

I hope this short note will help you. For further reading I suggest:

Davier, M. von, Gonzales, E., & Mislevy, R. (2009). What are plausible values and why are they useful? In IERInstitute (Ed.), Issues and Methodologies in Large-Scale Assessments (pp. 9–36). Hamburg & Princeton: IERInstitute.

Wu, M. L. (2005). The role of plausible values in large-scale surveys. Studies in Educational Evaluation, 31, 114–128.

Best wishes

Moritz