Asked by Katelyn Tenorio on Jul 03, 2024
Verified
In a study, all the participants were grouped according to the extent of their uncertainty avoidance. The groups were labelled risk averse, moderates, and adventurous in the decreasing order of uncertainty avoidance. One participant was found to have 20, 10, and 70 percent probabilities of belonging to risk averse, moderates, and adventurous groups respectively. Which of the following types of analyses was most likely to be carried out in this scenario?
A) Cluster analysis
B) Latent class analysis
C) Multiple regression analysis
D) Latent profile analysis
Latent Class Analysis
A statistical method used to identify subgroups within a population that share certain characteristics, without these groups being previously known.
Uncertainty Avoidance
A cultural dimension that reflects the degree to which societies tolerate ambiguity and uncertainty.
- Identify the differences among distinct types of statistical approaches and their applications in data examination.
Verified Answer
ZK
Zybrea KnightJul 04, 2024
Final Answer :
D
Explanation :
The scenario involves grouping individuals based on a latent construct (uncertainty avoidance) and identifying the probability of belonging to each group. This is a typical scenario for latent profile analysis, where individuals are classified into mutually exclusive groups based on their scores on multiple measured variables. Cluster analysis and multiple regression analysis do not directly deal with latent constructs, while latent class analysis is used for grouping individuals based on categorical variables.
Learning Objectives
- Identify the differences among distinct types of statistical approaches and their applications in data examination.
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