While finite mixture models enable flexible modeling of counts from heterogeneous populations, their parameters have latent class interpretations.
Qualitative content analysis was used to interpret the manifest content (what the text says) and latent content (interpretation of the underlying meaning of the text) (25).
Most importantly, the latent variable interpretation of Eqs.
Qualitative content analysis was done to describe the: manifest content, what the text says; and latent content, interpretation of the underlying meaning of the text.
A study was performed to evaluate the potential bias in estimates of effect and differences in statistical power associated with parallel test interpretation, latent probability of infection adjusted for imperfect test sensitivity and specificity, and multinomial outcomes in cohorts of cattle simulated using Monte Carlo sampling methods.
The interviews were analysed using largely manifest content analysis (visible, obvious components), but also some latent content analysis (interpretation of underlying meanings and relationships) (20) to analyse the interviews.
They separate analysis of manifest content and interpretation of latent content and argue the validity of interpreting content which is latent in documents and records.
40 41 Content analysis has recently evolved to include interpretations of latent content in addition to the traditional quantitative descriptions of data.
In fact, both models have advantages and disadvantages in consistency and the interpretation of latent variables with their differences shown through empirical studies (Diamantopoulos and Winklhofer 2001).
Since the invariance of item intercepts is important for the interpretation of latent mean differences, partial invariance (e.g., Byrne et al. 1989; Steenkamp and Baumgartner 1998) for the item intercepts is necessary.
Of course, this causal interpretation of latent variables is based on a theoretical position, which itself is open to investigation.
