Cronbach's alpha was
Research methodology and reporting expression
Use this phrase to prove your research survey is reliable and statistically sound in formal reports.
Em 15 segundos
- Reports the reliability of a survey or test.
- Followed by a number between 0 and 1.
- Essential for academic writing and formal research papers.
Significado
This phrase is used in research to report how reliable a survey or test is. It tells your audience that the different questions in your study actually measure the same thing consistently.
Exemplos-chave
3 de 6Writing a university thesis
For the 10-item scale, Cronbach's alpha was .88, indicating high reliability.
For the 10-item scale, Cronbach's alpha was .88, indicating high reliability.
Presenting research at a conference
As you can see, Cronbach's alpha was well above the acceptable threshold.
As you can see, Cronbach's alpha was well above the acceptable threshold.
Peer-reviewing a colleague's paper
You should mention that Cronbach's alpha was lower for the second group.
You should mention that Cronbach's alpha was lower for the second group.
Contexto cultural
Originating in 1951 by American psychologist Lee Cronbach, this phrase became the backbone of modern psychometrics. It represents the global academic effort to standardize how we measure invisible things like 'happiness' or 'intelligence.' Today, it is a universal language spoken by researchers from Tokyo to New York.
The Magic Number
In most fields, if you say the alpha was .70 or higher, you're safe. If it's lower, you'll need to explain why!
Don't Capitalize 'alpha'
Keep 'alpha' lowercase and remember the apostrophe in 'Cronbach's'. It's a name!
Em 15 segundos
- Reports the reliability of a survey or test.
- Followed by a number between 0 and 1.
- Essential for academic writing and formal research papers.
What It Means
Think of Cronbach's alpha was as a 'consistency score' for a group of questions. Imagine you ask friends five different questions about how much they love pizza. If they give high scores to one but low scores to others, your survey is messy. This phrase introduces a number (usually between 0 and 1) that proves your survey isn't just random noise. It is the gold standard for 'internal consistency' in social sciences.
How To Use It
You usually follow this phrase with a decimal number. For example, Cronbach's alpha was .85. In the world of research, anything above .70 is generally considered 'good.' You will almost always find this in the 'Methods' or 'Results' section of a paper. It acts as a bridge between your data collection and your final conclusions. It tells the reader, "You can trust these numbers."
When To Use It
Use this when you are writing a thesis, a lab report, or a formal journal article. It is perfect for academic presentations where you need to defend your data. If you are a student, using this phrase makes you sound like a seasoned professional. It shows you understand the math behind the psychology or sociology you are studying. It is your 'shield' against critics who might say your survey was poorly designed.
When NOT To Use It
Do not use this at a casual dinner party unless your friends are all statisticians. If you say, "The Cronbach's alpha of our friendship was .90," people will look at you very strangely. It is strictly for academic or professional data reporting. Avoid it in creative writing or casual emails. It is too technical for a general audience who just wants the 'bottom line' without the math.
Cultural Background
Lee Cronbach developed this formula in 1951. Since then, it has become a rite of passage for every social science student. It represents the shift toward making psychology and sociology more 'scientific' and measurable. In the academic 'culture,' reporting this value is like showing your ID at a club. It is the requirement for entry into serious scientific discussion.
Common Variations
You might see The alpha coefficient was or Internal consistency was measured at. Sometimes people just say Alpha was. However, Cronbach's alpha was remains the most respected and clearest way to state it. It gives credit to the creator while sounding authoritative.
Notas de uso
This is a highly specialized academic expression. It should only be used in the context of statistical reporting and requires a numerical value to follow it.
The Magic Number
In most fields, if you say the alpha was .70 or higher, you're safe. If it's lower, you'll need to explain why!
Don't Capitalize 'alpha'
Keep 'alpha' lowercase and remember the apostrophe in 'Cronbach's'. It's a name!
The Academic Handshake
Using this phrase correctly is like a secret handshake. It tells other researchers you actually know how to validate data.
Exemplos
6For the 10-item scale, Cronbach's alpha was .88, indicating high reliability.
For the 10-item scale, Cronbach's alpha was .88, indicating high reliability.
Standard academic reporting style.
As you can see, Cronbach's alpha was well above the acceptable threshold.
As you can see, Cronbach's alpha was well above the acceptable threshold.
Used to defend the quality of the data orally.
You should mention that Cronbach's alpha was lower for the second group.
You should mention that Cronbach's alpha was lower for the second group.
Constructive feedback between researchers.
Ugh, my Cronbach's alpha was only .40. My survey is a disaster!
Ugh, my Cronbach's alpha was only .40. My survey is a disaster!
Using technical terms to vent about work frustrations.
I tried to calculate our relationship's stability, but Cronbach's alpha was undefined.
I tried to calculate our relationship's stability, but Cronbach's alpha was undefined.
Humorous use of statistics in a personal context.
In the pilot study, Cronbach's alpha was .72, so we proceeded.
In the pilot study, Cronbach's alpha was .72, so we proceeded.
Explaining the logic of a research step.
Teste-se
Complete the sentence for a research report.
To ensure the survey's internal consistency, we checked the statistics; ___ .82.
In reporting results, the simple past 'was' is the standard way to present a calculated value.
Identify the correct context for this phrase.
___ is a phrase you would most likely find in the 'Methods' section of a paper.
This is a technical statistical report phrase, not a personal opinion.
🎉 Pontuação: /2
Recursos visuais
Formality Spectrum of 'Cronbach's alpha was'
Talking to non-student friends
Never used.
Study group discussion
So, Cronbach's alpha was okay?
Academic Journal / Thesis
Cronbach's alpha was .79.
Where to use 'Cronbach's alpha was'
Master's Thesis
Reporting survey reliability.
Scientific Journal
Validating a new scale.
Stats Class
Explaining homework results.
R&D Meeting
Testing consumer feedback tools.
Perguntas frequentes
10 perguntasIt tells them if the questions in your survey are consistent. If Cronbach's alpha was high, it means people answered related questions in a similar way.
Only if you are presenting data from a customer survey. Otherwise, it is too technical for general business talk.
Always use the possessive Cronbach's. It refers to the man who popularized the formula, Lee Cronbach.
Use the past tense was because you are reporting a calculation you have already finished. You are describing a completed result.
A 1.0 is a perfect score, but it's rare. Usually, if Cronbach's alpha was .95 or higher, people might worry your questions are too similar.
In academic writing, you don't need to explain it. Just state Cronbach's alpha was and the number; your audience already knows what it means.
No, you cannot. This phrase is only for a 'scale' or a group of questions meant to measure one thing.
It's just the Greek letter Cronbach chose for his formula. There are other coefficients like 'beta,' but 'alpha' is the most famous.
You would write Cronbach's alpha was .50, suggesting low reliability. You then have to explain that the survey might need better questions.
Yes, very often! It is used whenever a doctor or researcher uses a questionnaire to measure things like pain or depression.
Frases relacionadas
Statistically significant
The result is unlikely to have happened by chance.
Internal consistency
How well a set of items measures a single construct.
Standard deviation
How much the data varies from the average.
Pearson correlation
A measure of the linear relationship between two variables.
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