Ten frequently asked questions about latent transition analysis.

Latent transition analysis (LTA), also referred to as latent Markov modeling, is an extension of latent class/profile analysis (LCA/LPA) used to model the interrelations of multiple latent class variables. LTA methods have become increasingly accessible and in-turn are being utilized in applied research. The current article provides an introduction to LTA by answering 10 questions commonly asked by applied researchers.

A Randomized Controlled Study on the Effects of a Documentary on Students' Empathy and Attitudes towards Older Adults.

Background: Despite the rapid increase in the size of the geriatric population, no current published literature is available based on the effects of viewing a documentary covering medical and psychosocial issues concerning older adults influencing young people's empathy and ageism. The aim of the current study was to test whether participants who viewed an original documentary about older adults experiencing physical pain would report lower ageism and higher empathy scores when compared to participants who watched a neutral documentary.

Method: Seventy-seven students (ages 18-29 years) were randomized to either the experimental (pain documentary) or the control (neutral documentary) conditions and given pre- and post-test measures of empathy and ageism.