MJ Industries

Are you ready to delve into the intricate world of measurement of variables and data? Join us as we navigate through the essential concepts of scaling, reflective versus formative measurement scales, and operationalization in Chapter 11. What is a variable, you ask? It's an element that changes based on the impact under study. We measure the changes in an object through the judgment of an evaluator, ensuring impartiality and objectivity. But how do we measure these variables? By establishing characteristics, employing different measurement methods, and evaluating without bias. We explore a plethora of scales, from nominal to ratio, to measure the characteristics of an object accurately. Nominal scales categorize objects into groups, while ordinal scales rank them. Interval and ratio scales provide numerical values, allowing for statistical analysis and comparisons. In our journey, we encounter various data collection methods, from interviews to observations, questionnaires to physi...

Welcome everyone! Today, we'll dive into the measurement of variables and data, focusing on scaling and the differences between reflective and formative measurement scales. This session is essential for understanding how to effectively measure variables and ensure accurate data collection in your research. What are Variables? A variable is an element that can change based on the impact under study. It represents the characteristics or properties that researchers measure. To measure a variable, we establish the characteristic to be measured, decide on a method of measurement, and then use this method impartially. For example, when measuring characteristics like hunger, thirst, or satisfaction, it's essential to remain objective to avoid bias. This objectivity ensures the data's reliability and validity. Types of Scales Nominal Scale : This is the most basic type of scale, used to categorize data without any order. For instance, a survey asking about gender (male, female) or ...