Statistical Modelling in Political Network Analysis Flashcards
What is the primary purpose of regression analysis?
A) To determine the spatial relationships between observations.
B) To analyze the dynamic processes of networks over time.
C) To examine the relationship between two or more variables and understand how one variable changes when another variable changes.
D) To assume independence of all variables.
C) To examine the relationship between two or more variables and understand how one variable changes when another variable changes.
Why is regression analysis often not appropriate for network analysis?
A) Because it assumes independence of the variables, while in network analysis, variables are interdependent.
b) Because it requires only one dependent variable.
C) Because it does not allow for longitudinal analysis.
D) Because it cannot model random changes
A) Because it assumes independence of the variables, while in network analysis, variables are interdependent.
What do spatial econometric models primarily analyze?
A) The effects of random variables in a network.
B) The evolution of friendships over time.
C) Data where location matters, focusing on the spatial relationships between observations.
D) The independence of variables in a dataset
C) Data where location matters, focusing on the spatial relationships between observations.
Which of the following is a key feature of Stochastic Actor-Oriented Models (SAOMs)?
A) They only analyze static networks.
B) They do not consider the influence of other actors on decisions.
C) They allow researchers to model how networks evolve over time based on actors’ decisions to form or sever connections.
D) They assume that all changes in a network are predictable.
C) They allow researchers to model how networks evolve over time based on actors’ decisions to form or sever connections.
In the context of SAOMs, what does the term “actor-oriented” imply?
A) Actors do not influence their own connections.
B) Each actor can influence its own connections based on preferences and characteristics.
C) Actors only consider past events when making decisions.
D) Actors have no control over the network’s structure.
B) Each actor can influence its own connections based on preferences and characteristics.
What does the Markov property in SAOMs indicate?
A) Changes in the network are influenced by historical data.
B) Changes in the network depend only on its current state, not on past events.
C) All actors are independent of each other.
D) The network is static and does not change over time.
B) Changes in the network depend only on its current state, not on past events.
What assumption do SAOMs make regarding changes in a network?
A) Changes are random and can be influenced by current attributes of the nodes.
B) Changes are always large and sudden.
C) Changes are predictable based on historical patterns.
D) Changes do not occur over time.
A) Changes are random and can be influenced by current attributes of the nodes.
In which of the following fields can statistical network models, including SAOMs, be applied?
A) Only in social networks.
B) Only in economic networks.
C) They are not applicable in any real-world scenarios
D) In social, biological, and economic networks.
D) In social, biological, and economic networks.
