How Do You Operationalise? - Fixanswer - Get your knowledge fix!

Operationalization is the

process by which concepts are linked to variables

. This process involves identifying operations that will showcase values of a variable under study. In other words, operationalization specifies concrete observations that are thought to empirically capture a concept existing in the real world.

What happens during operationalization?

Operationalization means

turning abstract concepts into measurable observations

. Although some concepts, like height or age, are easily measured, others, like spirituality or anxiety, are not. Through operationalization, you can systematically collect data on processes and phenomena that aren’t directly observable.

Why is it important to Operationalise the IV and DV?

It

states there will be no difference between the conditions of the IV

. It must include the DV and be operationalised. It is an important statement as the purpose of empirical research is to reject or disprove the null hypothesis, and so lend support to the prediction made in one of the experimental hypotheses.

What are the 3 types of variables?

These changing quantities are called variables. A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables:

independent, dependent, and controlled

.

Why is so important that variables be fully operationalized?

In quantitative research, it’s important to precisely define the variables that you want to study. Without transparent and specific operational definitions, researchers may measure irrelevant concepts or inconsistently apply methods. Operationalization

reduces subjectivity and increases the reliability of your study

.

How do you identify independent and dependent variables?

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause, while a dependent variable is the effect. In

an experiment

, you manipulate the independent variable and measure the outcome in the dependent variable.

What is the difference between validity and reliability?

Reliability and validity are concepts used to evaluate the quality of research. They indicate how well a method, technique or test measures something. Reliability is about the consistency of a measure, and

validity is about the accuracy of a measure

.

What makes good internal validity?

Internal validity is

the extent to which a study establishes a trustworthy cause-and-effect relationship between a treatment and an outcome

. … In short, you can only be confident that your study is internally valid if you can rule out alternative explanations for your findings.

How do you test concurrent validity?

Concurrent validity is usually measured by

the correlation between a new test and an existing test

to demonstrate whether the new test correlates well with the existing test (Murphy & Davidshofer, 1998). Therefore, the resulting correlation is a concurrent validity coefficient.

What is IV and DV examples?

The

IV is the dose given and the DV is the intensity and frequency of symptoms

. The intensity and frequency of symptoms “depends” on the dose of drug given. Example 4: You are studying how tutoring affects SAT scores. Your independent variable(IV) is tutoring and the dependent variable(DV) is test scores.

What is the difference between an experimental group and a control group?

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas

a control group does not

. They should be identical in all other ways.

How are Operationalised behavioral categories?

They need to operationalise the behaviour through the use of behavioural categories. This involves

breaking the target behaviour (e.g. aggression) into components

that can be observed and measured (e.g. hitting, kicking).