C1 Expression 매우 격식체 3분 분량

Die Effektstärke nach Cohen betrug d = 0.8

The effect size according to Cohen was d = 0.8

직역: The effect-strength after Cohen amounted-to d = 0.8

Use this phrase to professionally report a high-impact result in a scientific or data-heavy presentation.

15초 만에

  • A formal way to describe a large statistical impact.
  • Used primarily in academic, scientific, and data-driven contexts.
  • Indicates a 'large' effect according to standard scientific conventions.

This phrase describes a strong statistical result. It means the difference or impact you measured is large and practically significant, not just a fluke.

주요 예문

3 / 7
1

Presenting a thesis

In meiner Untersuchung war die Effektstärke nach Cohen d = 0.8, was auf einen starken Zusammenhang hindeutet.

In my study, the effect size according to Cohen was d = 0.8, which indicates a strong correlation.

💼
2

Discussing a marketing campaign

Die Effektstärke nach Cohen betrug d = 0.8 für unsere neue Werbestrategie.

The effect size according to Cohen was d = 0.8 for our new advertising strategy.

💼
3

Texting a fellow PhD student

Endlich signifikante Ergebnisse! Die Effektstärke nach Cohen betrug d = 0.8!

Finally significant results! The effect size according to Cohen was d = 0.8!

🤝
🌍

문화적 배경

In German academic culture, 'Präzision' (precision) is everything. This phrase reflects the shift in modern science from just looking at p-values to understanding the actual magnitude of a phenomenon. It became a standard part of the German scientific vocabulary as empirical social sciences grew in the late 20th century.

💡

The 'd' is silent... sort of

In German, you pronounce 'd' just like the letter 'D' (deh). Don't say 'dee' like in English.

⚠️

Don't confuse with p-values

Germans are sticklers for logic. If you say 'Effektstärke' but mean 'Signifikanz' (p-value), they will correct you immediately.

15초 만에

  • A formal way to describe a large statistical impact.
  • Used primarily in academic, scientific, and data-driven contexts.
  • Indicates a 'large' effect according to standard scientific conventions.

What It Means

Imagine you are testing a new study pill. You want to know if it actually works. A p-value tells you if the result was a fluke. But the Effektstärke (effect size) tells you how much it actually helped. In the world of statistics, Jacob Cohen set the rules. A value of d = 0.8 is considered 'large'. It means the change is very noticeable. It is the gold standard for a successful experiment. You are basically saying, 'This thing really makes a difference!'

How To Use It

You will mostly see this in written reports. It often appears in the 'Ergebnisse' (results) section of a paper. You use the verb betragen (to amount to) in the past tense betrug. This is because you are reporting on a study you finished. You can swap the number depending on your data. If your result is 0.2, it is small. If it is 0.5, it is medium. Just drop the number in at the end of the sentence. It sounds very professional and precise.

When To Use It

Use this phrase during your Master's or PhD defense. It shows you have a deep grip on your data. Use it in a high-level business meeting about A/B testing. If you are a data scientist, this is your bread and butter. It is perfect for academic writing in psychology or medicine. Even in a serious debate about social issues, citing an effect size adds massive weight. It moves the conversation from 'I feel' to 'the data shows'.

When NOT To Use It

Do not use this while ordering a Currywurst. The vendor will think you are a confused professor. Avoid it in casual chats with friends about your weekend. Saying 'The effect size of that party was d = 0.8' sounds like a bad joke. It is too clinical for emotional or everyday topics. Unless you are intentionally being a 'Fachidiot' (a nerd who only knows their field), keep it for the lab. It is way too formal for a first date.

Cultural Background

Germany has a massive respect for Wissenschaft (science). Precision is a cultural value here. In German universities, students are trained to be extremely rigorous. Using terms like Effektstärke shows you respect the scientific method. Jacob Cohen was American, but his standards are universal in German academia. German researchers love to quantify everything. This phrase reflects that desire for objective, measurable truth. It is a badge of intellectual competence in the German-speaking world.

Common Variations

You can change the descriptor of the source. Instead of nach Cohen, you might say Cohens d. You can also change the verb. Sometimes people say lag bei (was at) instead of betrug. If the effect is small, you would say Die Effektstärke war gering. If it is huge, you might say Die Effektstärke war substanziell. You can also talk about Korrelationen (correlations) using similar phrasing. The structure remains a pillar of German academic reporting.

사용 참고사항

This is a C1-level academic expression. It requires correct use of the Präteritum (betrug) and specific statistical vocabulary. It is strictly for formal or scientific contexts.

💡

The 'd' is silent... sort of

In German, you pronounce 'd' just like the letter 'D' (deh). Don't say 'dee' like in English.

⚠️

Don't confuse with p-values

Germans are sticklers for logic. If you say 'Effektstärke' but mean 'Signifikanz' (p-value), they will correct you immediately.

💬

The 'Fachidiot' factor

Using this in a bar might get you labeled a 'Fachidiot'—someone who is brilliant in their field but has zero social skills. Use with caution!

예시

7
#1 Presenting a thesis
💼

In meiner Untersuchung war die Effektstärke nach Cohen d = 0.8, was auf einen starken Zusammenhang hindeutet.

In my study, the effect size according to Cohen was d = 0.8, which indicates a strong correlation.

This is the classic academic usage.

#2 Discussing a marketing campaign
💼

Die Effektstärke nach Cohen betrug d = 0.8 für unsere neue Werbestrategie.

The effect size according to Cohen was d = 0.8 for our new advertising strategy.

Shows data-driven decision making in business.

#3 Texting a fellow PhD student
🤝

Endlich signifikante Ergebnisse! Die Effektstärke nach Cohen betrug d = 0.8!

Finally significant results! The effect size according to Cohen was d = 0.8!

Sharing excitement over good data.

#4 Being a nerd at a coffee shop
😄

Die Effektstärke dieses Espressos auf meine Laune betrug d = 0.8.

The effect size of this espresso on my mood was d = 0.8.

Using academic language for a mundane thing as a joke.

#5 Writing a formal research paper
👔

Wie in Tabelle 2 ersichtlich, betrug die Effektstärke nach Cohen d = 0.8.

As seen in Table 2, the effect size according to Cohen was d = 0.8.

Standard reporting style in a manuscript.

#6 Explaining a medical study to a colleague
💼

Das Medikament ist wirksam; die Effektstärke nach Cohen betrug d = 0.8.

The medication is effective; the effect size according to Cohen was d = 0.8.

Communicating the clinical significance of a drug.

#7 Reflecting on a life-changing event (metaphorically)
💭

Der Einfluss dieser Reise auf mein Leben? Die Effektstärke nach Cohen betrug mindestens d = 0.8.

The influence of this trip on my life? The effect size according to Cohen was at least d = 0.8.

Using stats to describe a deep personal impact.

셀프 테스트

Complete the sentence to report a large effect size.

Die ___ nach Cohen betrug d = 0.8.

✓ 정답! ✗ 아쉬워요. 정답: Effektstärke

'Effektstärke' is the standard technical term in German for 'effect size'.

Choose the correct verb for a formal report.

Die Effektstärke ___ d = 0.8.

✓ 정답! ✗ 아쉬워요. 정답: betrug

'Betragen' is the formal verb used to state numerical values or amounts.

🎉 점수: /2

시각 학습 자료

Formality of 'Die Effektstärke nach Cohen...'

Informal

Used as a joke among students.

Der Kaffee-Effekt war d = 0.8.

Professional

Standard in data science meetings.

Die Effektstärke liegt bei 0.8.

Very Formal

Mandatory in academic papers.

Die Effektstärke nach Cohen betrug d = 0.8.

Where to use this phrase

Effektstärke d = 0.8
🔬

University Lab

Reporting findings to a professor.

🎓

Thesis Defense

Answering a question about data impact.

📄

Medical Journal

Writing the abstract for a study.

💻

Data Science Office

Explaining A/B test results.

자주 묻는 질문

12 질문

It is the past tense of betragen, meaning 'amounted to'. It is the standard way to report data in the past tense in German.

In statistics, yes, it means a 'large' effect. It shows that your intervention had a significant real-world impact.

Only if you are being ironic or talking to other scientists. It is very formal and technical.

Jacob Cohen was a statistician who defined these benchmarks. In Germany, his name is synonymous with effect size measurement.

Yes, you can just say Das d war 0,8. But in a formal paper, use the full phrase.

In German text, we use a comma: 0,8. However, in scientific formulas like d = 0.8, the point is often kept due to international standards.

You would say Die Effektstärke nach Cohen betrug d = 0.2, which is considered klein (small).

Only in data-heavy fields like marketing analytics or UX research where A/B testing is common.

The opposite is gering or schwach. For example: Die Effektstärke war gering.

Yes, but betrug or lag bei sounds more like a professional report. Ist is a bit too simple for C1 level.

It is feminine: die Effektstärke. Remember that most words ending in -e in German are feminine.

Nach Cohen means 'according to Cohen's standards'. Von Cohen would imply Cohen himself conducted your specific study.

관련 표현

Statistisch signifikant

Statistically significant

Die Stichprobengröße

The sample size

Ein moderater Effekt

A moderate effect (usually d = 0.5)

Kausaler Zusammenhang

Causal relationship

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