by Research uses several important terms to describe ideas, relationships and explanations. These terms help researchers clearly define what they want to study and how different elements are connected. Concepts and constructs represent ideas, variables represent measurable characteristics, propositions state relationships between concepts, theories provide systematic explanations, and models present relationships in a structured form. Understanding these terminologies is essential for developing research questions, hypotheses and research designs.
Terminologies of Research:
1. Concept
A concept is a general idea or mental representation of a phenomenon, object, event or characteristic. It helps researchers identify and describe what they want to study. Concepts may be simple, such as age or income, or abstract, such as motivation, satisfaction and leadership. In research, concepts provide the basic foundation for developing research problems and questions. For example, customer satisfaction is a concept used to describe the level of contentment experienced by customers after purchasing a product or service. Concepts may later be defined more precisely and measured through suitable indicators. Therefore, concepts help researchers organise and communicate ideas clearly.
2. Construct
A construct is an abstract idea that is specifically developed or defined for research purposes. It represents a phenomenon that may not be directly observable but can be studied through measurable indicators. Constructs are commonly used in behavioural and social research. Examples include employee motivation, brand loyalty, job satisfaction and organisational commitment. A construct is generally more specific and research oriented than a general concept. Researchers define constructs carefully so that they can be measured consistently. For example, employee motivation may be measured using indicators such as willingness to work, enthusiasm and commitment. Thus, constructs help convert abstract ideas into researchable forms.
3. Variables
A variable is a characteristic, attribute or factor that can take different values or levels among individuals, objects or situations. Variables are important because they can be observed, measured and analysed in research. Examples include age, income, sales, education level and customer satisfaction. Variables may be classified as independent, dependent, moderating or intervening variables depending on their role in a study. For example, advertising expenditure may be an independent variable, while sales may be a dependent variable. The researcher studies whether changes in one variable are associated with changes in another. Thus, variables provide a measurable basis for conducting empirical research.
4. Proposition
A proposition is a statement that explains a relationship between two or more concepts or constructs. It expresses what the researcher believes about how different concepts are related. Propositions are generally developed from logical reasoning, existing literature or theoretical understanding. For example, a proposition may state that higher employee motivation is associated with better employee performance. A proposition is broader and more conceptual in nature and may not always be directly tested using statistical methods. However, propositions can provide the foundation for developing hypotheses that can be empirically tested. Therefore, propositions help researchers establish expected relationships and develop theoretical explanations.
5. Theory
A theory is a systematic set of concepts, definitions and propositions that explains relationships between different phenomena. It provides a logical explanation of why and how certain events or behaviours occur. Theories are developed from existing knowledge, observations and research findings. They help researchers understand a research problem and identify relationships that can be tested. For example, motivation theories explain factors that influence employee behaviour and performance. In business research, theories provide a foundation for developing research questions, hypotheses and research frameworks. They also help researchers interpret findings and connect new results with existing knowledge. Thus, theory provides a structured explanation of observed phenomena.
6. Model
A model is a simplified representation of a real situation, system or set of relationships. It helps researchers visually or logically present how different concepts and variables are connected. Models may be presented through diagrams, mathematical equations or conceptual frameworks. For example, a research model may show that advertising influences brand awareness, which subsequently influences purchase intention. Models make complex relationships easier to understand and communicate. They are often developed from theories and existing research findings. In business research, models help researchers identify important variables and their possible relationships before conducting a study. Thus, a model provides a structured representation of the research problem.
7. Operational Definition
An operational definition explains exactly how a concept, construct or variable will be identified and measured in a research study. Since many research concepts are abstract, researchers need to specify the practical method of measuring them. For example, employee satisfaction may be operationally defined using responses to a questionnaire containing questions about salary, working conditions, management and career opportunities. Similarly, business performance may be measured through sales growth, profitability or market share. An operational definition makes research concepts clear, measurable and consistent. It also allows other researchers to understand and repeat the study using the same measurement procedure.
8. Hypothesis
A hypothesis is a tentative and testable statement about the expected relationship between two or more variables. It is developed from theories, previous research, observations or logical reasoning. A hypothesis guides the researcher in collecting and analysing data. For example, “Employee training has a positive effect on employee performance” is a hypothesis that can be tested using suitable data. Hypotheses may be accepted or rejected based on research findings. They can be directional or non directional. A well formulated hypothesis identifies the variables being studied and suggests their expected relationship. Thus, hypotheses provide direction and focus to empirical research.
9. Indicator
An indicator is a measurable characteristic or observable element used to represent a concept or construct. Some research concepts, such as motivation, satisfaction, loyalty and quality, cannot be directly observed or measured. Researchers therefore use suitable indicators to measure them. For example, employee satisfaction may have indicators such as satisfaction with salary, working conditions, management and career opportunities. Similarly, customer loyalty may be indicated by repeat purchases, recommendations and willingness to continue using a brand. Multiple indicators may be combined to measure one construct more accurately. Thus, indicators help researchers convert abstract ideas into measurable and observable elements.
10. Attribute
An attribute is a specific characteristic, category or value associated with a variable. Variables can have different attributes depending on the nature of the information being studied. For example, gender may have attributes such as male and female, while educational qualification may have attributes such as undergraduate, postgraduate and doctoral level. Income may be divided into different income groups. Attributes help researchers classify observations and organise collected data for analysis. They are particularly useful in questionnaires, surveys and statistical studies. Therefore, attributes represent the specific forms or categories in which a variable can occur within a research study.
11. Operationalisation
Operationalisation is the process of converting an abstract concept or construct into measurable variables, dimensions and indicators. It helps researchers determine exactly what information should be collected and how it should be measured. For example, the construct “customer satisfaction” may be divided into dimensions such as product quality, price, service and delivery. Each dimension can then be measured through specific questionnaire items or indicators. Operationalisation is important because it makes theoretical concepts suitable for empirical investigation. It also improves consistency and clarity in data collection. Thus, operationalisation connects theoretical ideas with practical measurement in the research process.
12. Research Framework
A research framework is a structured representation of the major concepts, variables and relationships involved in a research study. It provides a clear outline of how the researcher expects different factors to be connected. A research framework may be presented through a diagram showing independent, dependent, moderating or mediating variables. For example, a framework may show that employee training influences employee skills, which subsequently affects job performance. The framework is generally developed from theories, previous studies and the research problem. It helps guide data collection, hypothesis development and analysis. Thus, a research framework provides an overall structure for conducting research.
13. Assumption
An assumption is a condition, belief or statement that a researcher accepts as true for the purpose of conducting a study. Assumptions are often necessary because researchers cannot investigate every possible factor affecting a research problem. For example, a researcher conducting an employee survey may assume that respondents provide honest and accurate answers. Another study may assume that the selected sample reasonably represents the target population. Assumptions should be reasonable and clearly identified because unrealistic assumptions can affect the validity of research findings. Therefore, assumptions provide the basic conditions under which a research study is designed, conducted and interpreted.
