Scale Development process
Scale Development process

Scale Development process

Scale Development process

The scale development process belongs to characterizes the ranges for the collection of data regarding specific subjects or questions about a specific construct. It is specifically focused on precisely quantifying what the data is going to be measured.

Scale development process inaugural words can be a framework of quantifying the data accurately which is to be measured. It helps to quantify required data in a way the researchers can easily interpret and convert it into meaningful information.

  • Scale: Scale is the specific range within which the data is to be collected. It can represent it the type of data collected within a specific characteristic or a range.
  • Item: Items are the units of the collected list in a variable. Many times people confuse between item and variable. Variable describes the data type or the quantity that can be measured whereas the time is the unit of collected data.
  • Variable: Variable power is the specific quantity or the data type which can be measured or quantified. It can also be known as the characteristics or number or measuring quantity. Variables such as marks, income, scores, age experience, etc.
  • Construct: Construct is the combination of various conceptual elements that can together make the theory of the contruct. It is hidden in nature which is difficult to quantify directly. Construct signifies the set of various elements that can be used to describe the hidden fact restock. In social science, the constructs are very difficult to measure in the quantitative form. So for the measurement of the construct number of variables and Oregon items and the scales required.
Example

The productivity of the employee can be a construct that cannot be quantified but can be measured by using the variables and scales. Skills allow researchers to measure productivity in a specific range from minimum to maximum.

Satisfaction is the construct that needs to be measured to determine whether the customers are fulfilling their requirements through the product or services. The marketing management Department of any organization always strives to measure the satisfaction level of the customers in order.

Process or Steps of Scale Development

  • Develop the construct or theory
  • Develop a pool of items: Secondary data, theory, and qualitative research
  • Select a reduced set of items based on quality to judgment
  • Collecting the required data from the largest sample
  • Analysis of the data using the statistical techniques
  • Developed appropriate scales
  • Collect more data from a variety of sample
  • Evaluate the scale validity, reliability, and Generalizability

1 Develop the theory or construct

The constructs are the framework according to which the variables are considered and the data collected. Constructs are hidden in nature or latent which signifies or specifies the type of variables and the data to be collected. In social science, it is very difficult to quantify the construct but the set elements of can be used to measure it.

Theory or construct is the set of conceptual data that direct researchers to connect required data and execute the results to find unique answers. Following are some of the examples of the theory of the construct used to determine the scale of any research.

  • Farmers’ perceptions of organic farming
  • Business perspectives of the farmers towards organic farming
  • Customer satisfaction level with respect to the telecommunications services home can you
  • Determine the productivity of employees

2. Develop a pool of items: Secondary data, theory and qualitative research

            Once the theory or the constructs are developed then it is essential to develop for create variables and items to collect the data which is concerned. Developing pull-up items involved in determining or preparing the number of atoms that are related to the theory or the construct. These items are prepared considering a collection of all the data which is related to the theory. These items consist of questions related to the theory.

Example
  • To determine the satisfaction level of the customers following her the items for variables used to collect the concern data
  • How much you satisfied with the features of the product or service
  • Are you fulfilled the expected features in the given or offered product or service
  • Are you satisfied with the quality provided in the product
  • Have you fulfilled the expected quality in the offered product

3. Select a reduced set of items based on quality to judgment

            After collecting or reminding the number of items related to the theory it is insertion to filter them and find out very concerned items with the theory. Determining the potential items for the data sets concerned with the theory helps researchers develop the scale appropriately.

Example
  • To Determine the satisfaction level of the customer it is essential to use a questionnaire that gives or collects very concerning data. This concern and appropriate data help researchers to determine the required findings that help to solve the research problem.
  • The data items prepared and use numbers are required to be sorted out in order to recognize the most suitable and appropriate data items system. Search data items help researchers to gather the appropriate accurate and concerned data.

4. Collecting the required data items from the largest pool of items

            Once the determination of specified items on variables is done then the actual collection of the data is executed. This potential data helps researchers to provide valuable inputs for the conclusion of the research. This stage involves in gathering the concerned data which will be the potential input for the execution of research and formulating the appropriate scale.

5. Studying Study the collected data items by statistical techniques

Statistical techniques of scientific methods determine the appropriate data items concerned with the research for files. You evaluate all the data items and remind the most suitable and concerned data items for the purpose of connecting required data and forming the required scale.

6. Developing the appropriate scales to collect the concerned of data

Scale is framed or formed to collect the data which is very concerned with the theory or construct. This stage is the final stage of determining the scale for connecting the data/

7. Collecting more data for the variety of sample

The data or data items are collected in use quantities so that the data validity can be implemented and require a sufficient quantity of the data gathered.

Leave a Reply

Your email address will not be published. Required fields are marked *

error: Content is protected !!