explanatory analysis

USAGE SUMMARY

"explanatory analysis" is a valid phrase that can be used in written English.
For example, "The author conducted an explanatory analysis of the data to determine the most effective marketing strategy."

✓ Grammatically correct

Science

Academia

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

48 human-written examples

Quantitative data were analyzed using descriptive statistics, explanatory analysis, and multinomial logistic regression.

Journal of Cleaner Production

As a further explanatory analysis, time-stratified Cox models were generated as suggested [15].

Annals of Intensive Care

IR schools—such as realism, neo-realism, neo-liberalism, constructivism, and communicative action have traditionally been concerned with social-scientific, historical, and explanatory analysis.

SEP

As a further explanatory analysis regarding potential survival bias, we present data from the entire FINNAKI cohort (n = 2901) without exclusions.

Annals of Intensive Care

Most existing research methodology relies on explanatory analysis to investigate factors determining car ownership, where the interrelationships among independent variables are unstated or underestimated.

Urban Rail Transit

Qualitative approaches provide a descriptive explanatory analysis of often non-quantifiable process in policy interactions, whereas modeling approaches provide numerical data estimating the extent of policy interaction impacts.

Renewable and Sustainable Energy Reviews

Human-verified similar examples from authoritative sources

Similar Expressions

12 human-written examples

The factor structure of the instrument was tested with explanatory factor analysis (EFA) and the factor loadings were calculated (Table  2) and confirmatory factor analysis (CFA).

BMC Medical Research Methodology

His graphics are often for explanatory data analysis -- not the same as crisp, clear communication".

The New York Times

An explanatory factor analysis is conducted to identify the perceptions toward genetic modification.

Appetite

Explanatory factor analysis revealed two items with very low factor loading that were deleted.

Procedia - Social and Behavioral Sciences

Explanatory factor analysis (EFA) was used to reduce the number of variables.

Environmental Systems Research

Expert writing Tips

Best practice

When writing scientific papers, use "explanatory analysis" to show that you are not just describing data but also explaining the reasons behind it.

Common error

Avoid using "explanatory analysis" when you are still in the initial stages of exploring your data. "Exploratory analysis" is more appropriate for discovering patterns, while "explanatory analysis" is used to explain already identified phenomena.

Linguistic Context

Explanatory analysis functions primarily as a noun phrase that identifies a method of investigation. It refers to the process of examining data or information to uncover the underlying causes or reasons for observed phenomena. According to Ludwig AI, this phrase is grammatically correct and widely used.

Expression frequency: Very common

Frequent in

Science

65%

Academia

20%

Formal & Business

10%

Less common in

News & Media

2%

Encyclopedias

2%

Wiki

1%

Ludwig's WRAP-UP

In summary, "explanatory analysis" is a grammatically correct and commonly used phrase, particularly in scientific and academic writing, used to denote a thorough investigation into the causes and reasons behind observed phenomena. According to Ludwig AI, the phrase follows standard grammar rules. It's crucial to distinguish it from similar terms like "exploratory analysis", which focuses on discovering new patterns rather than explaining existing ones. When employing "explanatory analysis", aim to provide detailed explanations and not just descriptions, contributing to a deeper understanding of complex systems and relationships. As indicated by the example count, the phrase is used very often.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

interpretive analysis

Focuses more on understanding the meaning and significance rather than just the causal factors.

descriptive analysis

Emphasizes detailing the characteristics of the data rather than explaining why they occur.

exploratory data analysis

More about discovering patterns and relationships in data, whereas "explanatory analysis" aims to explain already identified phenomena.

causal analysis

Specifically focuses on identifying cause-and-effect relationships, a subset of explanatory approaches.

statistical explanation

Replaces the broader 'analysis' term to specify a quantitative approach.

analytical explanation

Highlights the use of a structured method to provide clarity to a subject.

interpretative investigation

Conveys a similar goal using a different term for analysis.

diagnostic assessment

Focuses on diagnosing or identifying issues, adding a problem-solving perspective.

elucidation

A more concise, single-word substitution emphasizing clarification.

critical appraisal

Emphasizes a careful evaluation, useful in contexts where a judgement is needed.

FAQs

How is "explanatory analysis" used in research?

In research, "explanatory analysis" is used to determine the underlying causes and mechanisms of observed phenomena, going beyond simple description to provide a detailed account of why things are the way they are. This often involves statistical modeling or qualitative methods to link variables and identify causal relationships.

What's the difference between "explanatory analysis" and "descriptive analysis"?

"Explanatory analysis" seeks to explain why certain patterns or outcomes occur, while "descriptive analysis" focuses on summarizing and presenting data without delving into the reasons behind them. Explanatory methods often involve hypothesis testing and causal inference.

When should I use "explanatory analysis" in my writing?

Use "explanatory analysis" when your goal is to not just describe what you see in the data, but also to provide reasons or explanations for observed patterns or effects. It's appropriate when you have a hypothesis and are testing it against empirical evidence.

What are some techniques used in "explanatory analysis"?

Common techniques include regression analysis, path analysis, structural equation modeling, and qualitative comparative analysis. These methods help to identify and quantify the relationships between variables, allowing researchers to explain why certain outcomes occur.