causal determinants

USAGE SUMMARY

The phrase "causal determinants" is correct and usable in written English.
It can be used in contexts discussing factors that influence or determine outcomes, particularly in fields like psychology, sociology, or science. Example: "Understanding the causal determinants of behavior is essential for developing effective interventions."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

29 human-written examples

In addition, these observational prospective studies can only identify associations, not causal determinants, and there is often a strong plausibility of reverse causality for some of the significant associations observed.

Diabetes Care

The paper recommends that policy take these wider causal determinants into account when estimating likely effects of energy efficiency increases.

Energy Research & Social Science

The research problem consisted in investigating and measuring the influence of causal determinants that can significantly affect the foot parameters.

Procedia Engineering

It seems, however, that the causal determinants of S's behavior can depend only on events occurring inside S's body.

SEP

This philosopheme (this basic understanding of what life essentially is), seeing genomes as programs and genes as the ultimate causal determinants of organismal phenomena, is now challenged and complemented by post-determinist approaches which emphasise complexity.

Life Sciences, Society and Policy

A basic compatibilist strategy is to argue that agents can have control over their actions in the sense required for freedom and/or responsibility even if they do not control the causal determinants of those actions.

SEP

Human-verified similar examples from authoritative sources

Similar Expressions

31 human-written examples

If income is a causal determinant of health, these permissible income inequalities will (continue to) generate health inequalities if they are left in place.

SEP

One issue in treating personality as a causal determinant of labor market success or family behavior concerns the stability of personality traits over the adult lifecycle and possible endogeneity of personality and other traits with respect to an individual's family history.

IZA Journal of Labor Economics

Despite their face validity, none of these factors has emerged as a strong causal determinant of exercise behavior [24], [25].

Plosone

OTA is a significant causal determinant of porcine nephropathy.

CKJ: Clinical Kidney Journal

We propose that telomere length is not only associated with atherosclerosis and longevity but is also a causal determinant of both.

Epidemiology

Expert writing Tips

Best practice

When discussing complex phenomena, clearly define what you consider to be the "causal determinants" to avoid ambiguity. For instance, in medical research, specify whether you are referring to genetic, environmental, or lifestyle factors.

Common error

Avoid presenting correlations as definitive "causal determinants". Always acknowledge the possibility of confounding variables or reverse causality, especially in observational studies.

Linguistic Context

The phrase "causal determinants" functions as a noun phrase identifying the factors that directly influence or bring about a particular result. It is used to pinpoint the origins or reasons behind specific phenomena, as shown by Ludwig's examples.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "causal determinants" is a grammatically correct and commonly used term, primarily in scientific and academic writing. According to Ludwig AI, it pinpoints the factors that directly influence or cause a particular outcome. While alternatives like "causal factors" or "underlying causes" exist, "causal determinants" is valued for its precision in formal contexts. Effective use involves clearly defining the determinants and avoiding the overstatement of causation, acknowledging potential confounding variables.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

determinative causes

Synonymous, focuses on the causing aspect and its capability to determine an outcome.

causal factors

Focuses on the 'factors' aspect, implying individual elements contributing to a cause.

root causes

Emphasizes the fundamental or underlying reasons behind an effect.

underlying causes

Highlights the causes that are not immediately obvious but are fundamentally responsible.

contributing factors

Stresses the contributory nature of the elements influencing an outcome.

key influences

Underscores the most important elements that have an impact.

driving forces

Implies elements that propel or strongly influence a particular outcome.

causal mechanisms

Focuses on the processes or systems through which causes lead to effects.

antecedents

Refers to the events or conditions that precede and cause a particular outcome.

origins

Highlights the starting points or sources from which something arises.

FAQs

How can I use "causal determinants" in a research paper?

In a research paper, you can use "causal determinants" to identify and analyze the factors that lead to a particular outcome. For instance, "This study aims to identify the causal determinants of childhood obesity."

What is the difference between "causal determinants" and "correlates"?

"Causal determinants" are factors that directly influence an outcome, whereas correlates are factors that are associated with the outcome but may not necessarily cause it. Establishing causality requires rigorous evidence, while correlation only indicates a relationship.

Are there alternatives to using the phrase "causal determinants"?

Yes, you can use alternatives like "causal factors", "root causes", or "underlying causes" depending on the specific context.

How do I identify "causal determinants" in a complex system?

Identifying "causal determinants" in a complex system often requires a combination of methods, including statistical analysis, experimental studies, and theoretical modeling. It's important to consider multiple potential factors and their interactions.