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)
Inductive theory involves forming general principles based on specific observations, moving from specific instances to broader conclusions. Deductive theory involves applying general principles to specific situations, moving from general concepts to specific predictions or explanations. Essentially, inductive reasoning builds from observation to theory, while deductive reasoning applies theory to specific situations.
In general, deductive logic takes a lot of information and tries to draw a conclusion from it. Inductive logic takes one piece of information and tries to generalize from there. That doesn't necessarily make one better than another... they are each important in different circumstances. In general science for instance, deductive logic is used most often. If you have a lot of observations, you might be able to figure out more about the subject of study. In interpersonal relationships, on the other hand, inductive logic is used most often. If one person reacts a certain way, then they figure that some other people will too. Both contribute to understanding, but are usually used very differently. I would also suggest looking up the terms in an online dictionary or encyclopedia, especially if you are asking about formal definitions.
Inductive arguments are 100% correct but basicly tell u very little in contrast almost all of our knowledge comes from deductive arguments but they are only 99% certain examples inductive i am a unmarried man All unmarried men are unhappy therefore i am unhappy (note this is also a unsound argument) deductive i poured chemical A into a solution of chemical B it reacted to form a purple solid i poured chemical A into a solution of chemical B it reacted to form a purple solid i poured chemical A into a solution of chemical B it reacted to form a purple solid i poured chemical A into a solution of chemical B it reacted to form a purple solid i poured chemical A into a solution of chemical B it reacted to form a purple solid therefore when i pour chemical A into a solution of chemical B it will react to form a purple solid that is an invalid argument primarily because we cant predict the future and because it snot specific enough the solution to the problem between inductive and deductive is Kant who came up with the synthetic a prori
Deductive analysis is a method of reasoning that involves making specific conclusions based on general principles or theories. It starts with a hypothesis and then tests it against available evidence in order to reach a logical conclusion. This approach is commonly used in mathematics, philosophy, and scientific research to establish relationships between ideas.
Applied research focuses on solving practical problems through the application of existing knowledge and theories, while action research involves engaging stakeholders in identifying issues, taking action, and reflecting on the outcomes to drive change and improvement. Action research is more collaborative, participatory, and iterative compared to applied research.
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.
The descriptive statistics deals with prediction. The inductive and the deductive statistics basically deals with presumption. The inductive statistics is used in making predictions.
Inductive statistic deals with prediction while deductive statistic deals with presumption
Deductive reasoning starts with a general principle and applies it to a specific situation to reach a certain conclusion. Inductive reasoning starts with specific observations and uses them to make a generalization or prediction.
the answer between the two:)deductive: means something...no questions about itinductive: questionable
Inductive theory involves forming general principles based on specific observations, moving from specific instances to broader conclusions. Deductive theory involves applying general principles to specific situations, moving from general concepts to specific predictions or explanations. Essentially, inductive reasoning builds from observation to theory, while deductive reasoning applies theory to specific situations.
Inductive approach involves generating theories based on observations and patterns identified in the data, while deductive approach tests existing theories against empirical evidence. Inductive reasoning moves from specific observations to broader generalizations, whereas deductive reasoning moves from general principles to specific predictions. Both approaches are used in scientific research to build knowledge and test hypotheses.
A "conjecture" is a conclusion reached simply from observations...this is a process known as "inductive reasoning". An example would be a weather forecast. The difference between "inductive reasoning" and "deductive reasoning" is that with deductive reasoning, the answer must "necessarily" follow from a set of premises. Inductive reasoning is the process by which you make a mathematical "hypothesis" given a set of observations
inductive reasoning is self propagation and self establishedinductive reasoning starts with empirical observations of specific phenomena, then establishes a general rule to fit the observed facts.deductive reasoning starts with a general rule, then applies that rule to a specific instance.
Deductive reasoning is sometimes referred to as a "top down" approach, in other words deductive reasoning works from the more general to the more specific. It often starts with a theory and is then narrowed down to an actual, testable hypothesis, that can be confirmed or denied by observation. Inductive reasoning is the inverse approach, a "bottom up" approach. It begins with an observation and through observation patterns and regularities are observed and can be applied to a more generalized theory.
Inductive statistics is a branch of statistics for the purpose of making observations and predictions. Deductive statistics can be thought of as "pure statistics," which do not pertain to making observations or predictions.Ex:Deductive Statistics: Counting the number of combinations from flipping a coin 100 times. (Not helpful in determining the probability of getting heads.)Inductive Statistics: Flipping a coin 100 times. (Helpful in determining the probability of getting heads.)
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.