Generalisable definitions
| Word backwards | elbasilareneg |
|---|---|
| Part of speech | The word "generalisable" (or "generalizable" in American English) is an adjective. It describes something that can be made general or applied broadly to a range of situations or instances. |
| Syllabic division | The word "generalisable" can be separated into syllables as follows: gen-er-al-is-able. |
| Plural | The word "generalisable" is an adjective and does not have a plural form. Adjectives typically do not change form based on number. If you are looking to use it in a plural context, you might modify the noun it describes instead. For example, "generalisable concepts" would refer to multiple concepts that are generalisable. |
| Total letters | 13 |
| Vogais (3) | e,a,i |
| Consonants (6) | g,n,r,l,s,b |
In contemporary discussions surrounding data science and social research, the term generalisable frequently arises. Understanding its significance is crucial because it directly influences the validity and applicability of findings beyond the initial scope of study. The concept of generalisability is central to ensuring that research outcomes contribute meaningfully to broader contexts, shedding light on how well findings apply beyond the original sample or environment.
Generalisation is often viewed as a spectrum, with certain factors enhancing or inhibiting the extent to which a study's results are deemed applicable. For instance, the size and diversity of the sample can greatly influence generalisability. A representative sample will enhance the study’s findings, facilitating more robust conclusions about larger populations. Conversely, research conducted on a highly specific group may exhibit limited applicability to others, necessitating caution when extrapolating data.
Another vital consideration is the methodology employed in research. Quantitative studies utilizing standardized instruments tend to boast higher generalisability as they allow for replication across various settings. In contrast, qualitative research often focuses on rich, detailed data from fewer subjects, which can offer deep insights but may not easily translate to other contexts. As such, researchers must carefully balance the depth of their exploration with the need for broader applicability.
Factors Affecting Generalisability
Multiple factors come into play when assessing the generalisability of research findings. One key element is the context in which the study was conducted. Social, cultural, and environmental forces matter immensely; what holds true in one setting may not be applicable in another. This necessitates a nuanced approach, where researchers account for these differing influences to provide a fuller picture of their findings' relevancy.
Furthermore, the time frame of a study can pose limitations on generalisability. Results from a specific temporal context may not remain valid as societal norms, technologies, and environmental conditions evolve. Therefore, researchers need to engage in continual assessment of their findings to ensure they remain relevant and informative over time.
Enhancing Generalisability in Research
To enhance the generalisability of their studies, researchers can adopt several strategies. First, involving diverse participant groups in various geographical locations can increase the representativeness of the sample. This strategy not only broadens the scope of the findings but also ensures that they can resonate with a diverse audience. Second, utilizing mixed-method approaches can complement quantitative data with qualitative insights, enriching the overall understanding of the research topic.
In conclusion, the concept of generalisability plays a pivotal role in research validity, influencing how findings can be applied across different contexts. By understanding the nuances of sample selection, methodology, and contextual factors, researchers can strive to produce work that is not only insightful but also broadly applicable. By meticulously considering these aspects, they can foster a deeper connection with their audience, ensure the credibility of their findings, and promote informed decision-making across various fields.
Generalisable Examples
- The findings from this study are generalisable to other populations facing similar issues.
- It is crucial that the model developed is generalisable across different scenarios.
- Researchers are working to determine whether these results are generalisable beyond the initial sample.
- The theory proposed is generalisable to various fields, not just physics.
- Our latest data analysis shows that these trends are generalisable to the global market.
- While the case study is informative, its conclusions are not easily generalisable.
- Experts believe that their recommendations are generalisable to similar industries experiencing disruption.
- The results of this experiment are generalisable, allowing us to apply them to broader contexts.
- The training program was designed to be generalisable, making it effective for various job roles.
- Her insights on consumer behavior are generalisable, helping to shape marketing strategies universally.