inductive theories of method means the circulation of the specific observation to broader generalization and theories
Inductive research involves collecting data, identifying patterns, and developing theories based on those patterns, while deductive research starts with a hypothesis and uses data to test and confirm or reject that hypothesis. Inductive research is exploratory and generates new theories, while deductive research is confirmatory, testing existing theories.
Conventional research refers to the traditional approach of conducting research using established methods and protocols. This typically involves following a structured process of defining research questions, collecting data, analyzing findings, and drawing conclusions based on established research paradigms and methodologies.
The term that applies to this scenario is "data segmentation." It involves organizing data from a research study into different segments or categories, such as age groups, to facilitate analysis and interpretation. By segmenting the data by age, the social scientist can identify patterns, trends, and differences that may exist among different age groups.
The two phases of market research are exploratory research and conclusive research. Exploratory research helps to define the problem and gather initial insights, while conclusive research provides specific answers to the research questions through data collection and analysis.
Research schedule are being filled by the enumerators who are specially appointed for this purpose. Research questionnaire in technical term is the set of questions which is mailed to the responded, responded will send the filled questionnair. sudhish
Inductive research involves collecting data, identifying patterns, and developing theories based on those patterns, while deductive research starts with a hypothesis and uses data to test and confirm or reject that hypothesis. Inductive research is exploratory and generates new theories, while deductive research is confirmatory, testing existing theories.
Inductive research is more applicable to policy formulation and policy evaluation.
Normative deductive approach starts with a theory and uses deduction to derive hypotheses, while inductive approach starts with observations and uses induction to formulate a theory. The deductive approach is useful when researchers have a strong theoretical foundation and want to test specific hypotheses, while the inductive approach is useful when exploring new areas where little theory exists. The usefulness of each approach depends on the research question and context.
Inductive research approaches are more widely used than Deductive by the scientific community, but they both have there strength and weaknesses. Inductive method: -Strengths: The inductive method produces concrete conclusions about nature that are backed by a variety of observational evidence. When one of an inductive arguments premises are perceived as false, other observational evidence can be added to the premises to save the argument, this is not the case with deductive reasoning. -Weaknesses: The inductive method produces conclusions that go beyond what there premises warrant. In other words, inductive arguments take a limited amount of observations to provide a universal conclusion, which could still be false. For example, someone observes 10,000 dogs and finds that they all have flees, then inductively concludes that all dogs have flees. This is a situation where overwhelming observational evidence (10,000 dogs have flees) points to an inductively reasoned false conclusion (All dogs have flees). Deductive Method: -Strengths: Deductive reasoning dosent require painstakingly observing a variety of observational evidence to reach a conclusion. One can start off with a generally accepted axiom, or statement, and deduce conclusions based on that axiom. -Weaknesses: Deductive reasoning can make permanent the logical fallacies we have today. In other words, if you use an axiom to deduce a variety of conclusions, and that axiom turns out to be false, all of the conclusions following that axiom are false as a result. hope this helps!
Inductive reasoning involves drawing general conclusions from specific observations or examples, while deductive reasoning starts with general premises to reach a specific conclusion. Inductive reasoning is based on probability and can lead to new insights or theories, whereas deductive reasoning is more focused on validating existing theories or arguments. Both types of reasoning play important roles in research and problem solving.
Quantitative research involves collecting and analyzing numerical data to identify patterns and trends, while qualitative research focuses on exploring and understanding the meanings, experiences, and perspectives of individuals. Quantitative research is typically deductive and uses statistical methods, while qualitative research is often inductive and relies on methods such as interviews, observations, and content analysis.
moving from general conclusions to specific observations
Inductive research starts off with specific observations and move toward general ideas or theory to capture what they show. (Qualitative) Deductive Research starts with a general idea or theory and then moves to test it by looking at specific observations. (Quantitative)
Qualitative research primarily uses inductive reasoning, which involves starting with specific observations or data points and then developing general conclusions or theories based on those observations. This approach allows researchers to explore deeper meanings, perspectives, and relationships within their data.
Inductive reasoning involves making generalizations based on observations, leading to the formation of a hypothesis. Deductive reasoning involves starting with a general hypothesis and making specific predictions that can be tested. Both types of reasoning are important in forming and testing hypotheses in scientific research.
deductive
Scientists use deductive reasoning and inductive reasoning when looking at problems. Deductive reasoning involves making specific conclusions based on general principles or theories. Inductive reasoning involves making generalizations or theories based on specific observations or evidence. Both types of reasoning are important in forming hypotheses, making predictions, and drawing conclusions in scientific research.