Step 1

In Interval scale, the difference between two values are standardized and equal. Most statistical measures are applicable in ratio or interval type of data.

Step 2

Assumptions of Parametric tests:

-Measurement should be ratio or interval,

-Sample should be a random sample,

-Population distribution is normal, and

-Homogeneity of variance

Since, it is one of the assumptions of parametric tests, most researchers still insist on at least interval of measurement as a condition for the use of parametric statistics

Parametric tests are conducted under certain assumptions of the distribution of the data. The distributions are defined by parameters. Hence, the parametric tests are based on the parameters of the underlying distribution.

Answer:

Yes. Most researchers still insist on at least interval of measurement as a condition for the use of parametric statistics.

In Interval scale, the difference between two values are standardized and equal. Most statistical measures are applicable in ratio or interval type of data.

Step 2

Assumptions of Parametric tests:

-Measurement should be ratio or interval,

-Sample should be a random sample,

-Population distribution is normal, and

-Homogeneity of variance

Since, it is one of the assumptions of parametric tests, most researchers still insist on at least interval of measurement as a condition for the use of parametric statistics

Parametric tests are conducted under certain assumptions of the distribution of the data. The distributions are defined by parameters. Hence, the parametric tests are based on the parameters of the underlying distribution.

Answer:

Yes. Most researchers still insist on at least interval of measurement as a condition for the use of parametric statistics.