What is the antonym of implication?
What is the antonym of implication?
What is the opposite of implication?
| contrary | opposite |
|---|---|
| converse | inverse |
| antithesis |
What is a antonym for assumption?
assumption. Antonyms: distrust, timidity, bashfulness, misgiving, self-distrust, consternation, dismay, alarm. Synonyms: arrogance, boldness, impudence, self-confidence, selfreliance, effrontery, presumption, conviction, certainty, self-assertion.
What is the synonym of implication?
SYNONYMS. suggestion, inference, insinuation, innuendo, hint, intimation, imputation, indication. connotation, overtone, undertone, hidden meaning, secondary meaning.
What is an example of an implication?
The definition of implication is something that is inferred. An example of implication is the policeman connecting a person to a crime even though there is no evidence. An implicating or being implicated.
How do you use the word implications?
Implication in a Sentence ?
- Cheryl’s hiding of her report card gave me the implication she had failed at least one of her classes.
- When I saw the maître d’ staring at my jeans and tee shirt, I knew he was making an implication about my ability to afford a five-star meal.
How do you show implications?
Direct Proof
- You prove the implication p –> q by assuming p is true and using your background knowledge and the rules of logic to prove q is true.
- The assumption “p is true” is the first link in a logical chain of statements, each implying its successor, that ends in “q is true”.
How do you disprove implications?
In general, to disprove an implication, it suffices to find a counterexample that makes the hypothesis true and the conclusion false. Determine whether these two statements are true or false: If (x−2)(x−3)=0, then x=2.
How do you understand implications?
Implication, in logic, a relationship between two propositions in which the second is a logical consequence of the first. In most systems of formal logic, a broader relationship called material implication is employed, which is read “If A, then B,” and is denoted by A ⊃ B or A → B.
What is the implication?
An implication is something that is suggested, or happens, indirectly. When you left the gate open and the dog escaped, you were guilty by implication. Implication has many different senses. Usually, when used in the plural, implications are effects or consequences that may happen in the future.
Is implication and effect the same?
As nouns the difference between implication and effect is that implication is (uncountable) the act of implicating while effect is the result or outcome of a cause see below .
What is the root word of implication?
early 15c., “action of entangling,” from Latin implicationem (nominative implicatio) “an interweaving, an entanglement,” noun of state from past participle stem of implicare “involve, entangle; embrace; connect closely, associate,” from assimilated form of in- “into, in, on, upon” (from PIE root *en “in”) + plicare “to …
What is an implication of a study?
Research implications are basically the conclusions that you draw from your results and explain how the findings may be important for policy, practice, or theory. They are specific suggestions that you make with regard to further research on the topic.
How do you write a study implication?
The implications of your research will derive from why it was important to conduct your study and how will it impact future research in your field. You should base your implications on how previous similar studies have advanced your field and how your study can add to that.
What is implication for practice in research?
Implications for practice involve discussing what your findings might mean for individuals who work in your field of study. Think about what people do in your field. Implications for practice also involve discussing how information from your study might be delivered to practitioners.
What are examples of implications in research?
To give a simple example, if your research is based on effects of a particular drug on patients with diabetes, your research implications could highlight how administering that drug does or does not help the patients and further suggest measures for the regulation of that drug.
What are the methods in research and its implications?
Research methods
- Experiments.
- Surveys.
- Questionnaires.
- Interviews.
- Case studies.
- Participant and non-participant observation.
- Observational trials.
- Studies using the Delphi method.
What is contribution to knowledge in research?
The creation of new knowledge within the context of a particular field of study is also known as ‘making a contribution to knowledge’, which is an essential criterion for the award of a PhD. The way your particular field operates will often define what is, and what is not, a contribution to knowledge.
How do you describe research findings?
Discussing your findings
- DO: Provide context and explain why people should care. DON’T: Simply rehash your results.
- DO: Emphasize the positive. DON’T: Exaggerate.
- DO: Look toward the future. DON’T: End with it.
What is the difference between findings and discussion?
What is the difference between results, discussion, and conclusions in writing a research paper? Results: empirical findings of your research method used. Discussion: explanation or interpretation of your above results / findings e.g. why these relationships are in/significant, weak / strong etc.
What is the meaning of findings?
The principal outcomes of a research project; what the project suggested, revealed or indicated. This usually refers to the totality of outcomes, rather than the conclusions or recommendations drawn from them.
How do you summarize research findings?
Take notes in your own words. Using short notes or summarizing key points in your own words forces you to rewrite the ideas into your own words later. Like an abstract in a published research article, the purpose of an article summary is to give the reader a brief overview of the study.
What is the difference between findings and results in research?
Results are simply your findings. A results section of a scientific paper or talk is strictly for narrating your findings, without trying to interpret for evaluate them. This is often done using graphs, figures, and tables.
What is the purpose of research findings?
Findings can only confirm or reject the hypothesis underpinning your study. However, the act of articulating the results helps you to understand the problem from within, to break it into pieces, and to view the research problem from various perspectives.
What are the 3 importance of research?
Answer: My hub provides several reasons as to why doing research is essential in general, including (1) to build knowledge and facilitate efficient learning, (2) to understand various issues, (3) to know the truth and prove lies, and (4) to seek opportunities, among others.
What is research design and its importance?
Research design stands for advance planning of the methods to be adopted for collecting the relevant data and the techniques to be used in their analysis. The need for research design is as follows: It reduces inaccuracy; Helps to get maximum efficiency and reliability; Guides the research in the right direction.
What are the steps in research design?
The 11 Important Steps in Research Design
- Formulation of the research problem.
- Literature review.
- Formation of Hypothesis in Research Design.
- Formulating a Research Design.
- Defining the nature of the study.
- Sample design.
- Administration of the tools of Data collection in Research Design.
- Data analysis.
What is research design and its types?
Research design is the framework of research methods and techniques chosen by a researcher. There are three main types of research design: Data collection, measurement, and analysis. The type of research problem an organization is facing will determine the research design and not vice-versa.
How do you describe a good research design?
The features of good research design is often characterized by adjectives like flexible, appropriate, efficient, economical and so on. Generally, the design which minimizes bias and maximizes the reliability of the data collected and analyzed is considered a good design.