Meaningful longitudinal linking depends on the construct not changing across measurement occasions¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q2
Currency · newest study 2010 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2013: tool and model accuracy changes quickly
Evidence quality · No study behind this claim is a peer-reviewed article with a DOI: it rests on a source with no registered publication record (a web page, book or unpublished report). It is kept because 2 design pages cite it; treat it as a lead to check, not an established finding.

Subclaims¶

q2 i? When the assumption of an unchanged construct across occasions is not met, a meaningful scale cannot be constructed regardless of the data collection design. → Rijmen 2010

Evidence¶

Rijmen 2010¶

Rijmen, F. (2010). Measuring Multidimensional Latent Growth. ETS Research Report RR-10-24. https://www.ets.org/research/contact.html

q2 · i? · theoretical · r3

The article's concluding remarks state this as an author interpretation about linking assumptions: the assumption is less likely to hold as occasions grow further apart, and it is "less likely to be met for some constructs than for others." No empirical test is reported.

"A crucial assumption in the current context is that the construct one is measuring does not change across measurement occasions. The further apart these measurement occasions are, the less likely the assumption is realistic."

Discussion¶

Related Claims¶

• Adding Markov structures for both general and specific dimensions over time yields a model that does not scale well with the number of measurement occasions — related
• Multidimensional IRT scores that account for latent variable covariances over time produce better recovery of growth parameters in longitudinal growth models than sum scores and other IRT approaches — related
• The authors conclude that MAP reading and mathematics CAT constructs are invariant across five time points in ten states (except Indiana mathematics), though their mathematics tables show strong-invariance CFI drops above 0.01 in most states — a narrower finding that bears on this claim