What is statistical generalization?

Statistical generalization involves inferring the results from a sample and applying it to a population. To do this, the sample must be selected randomly and be representative of the population.

What is the meaning of intersubjectivity?

Definition of intersubjective 1 : involving or occurring between separate conscious minds intersubjective communication. 2 : accessible to or capable of being established for two or more subjects : objective intersubjective reality of the physical world.

What is an example of inductive?

Inductive reasoning examples Here are some examples of inductive reasoning: Data: I see fireflies in my backyard every summer. Hypothesis: This summer, I will probably see fireflies in my backyard. Data: Every dog I meet is friendly.

What is intersubjective example?

Definition of Intersubjectivity Growing up, you decided to join the school tennis team. If your mother had not played tennis with you growing up, you may not have grown to like the sport. Your experience with tennis can be called intersubjective because it was influenced by another person (your mother).

What is intersubjectivity and example?

A basic human example of intersubjectivity is having a shared, common agreement in the definition of an object. So most people would experience intersubjectivity when asked to picture an apple- the definition of an apple would be the same.

What is human intersubjectivity?

Intersubjectivity is viewed as the various explicit and implicit relations that occur between people (subjectivities) that constitute group and cultural meaning systems.

What is inductive theory?

Inductive approach, also known in inductive reasoning, starts with the observations and theories are proposed towards the end of the research process as a result of observations[1].

What is inductive logic?

An inductive logic is a system of inference that describes the relation between propositions on data, and propositions that extend beyond the data, such as predictions over future data, and general conclusions on all possible data.

How do you describe Generalisability?

Generalisability is the extent to which the findings of a study can be applicable to other settings. It is also known as external validity. Generalisability requires internal validity as well as a judgement on whether the findings of a study are applicable to a particular group.