Cronbach's Alpha (Simply explained)

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  • Опубликовано: 25 окт 2021
  • Cronbach's alpha (or tau-equivalent reliability) is a measure of the relationship between a group of questions. The group of questions is called a scale and each question in that group is an item. Cronbach's alpha is therefore a measure of the internal consistency of a scale and thus of the strength of its reliability.
    More details about Cronbach's alpha
    datatab.net/tutorial/cronbach...
    And the Cronbach's alpha calculator
    datatab.net/statistics-calcul...

Комментарии • 109

  • @datatab
    @datatab  Год назад

    If you like, please find our e-Book here: datatab.net/statistics-book 😎

  • @michaels1086
    @michaels1086 6 месяцев назад +6

    You have the best explanations anywhere in the known universe of statistics! THANK YOU!

  • @theeddie5308
    @theeddie5308 2 года назад +26

    This is the only video that has satisfied my curiosity about Cronbach’s alpha. Thank you so much!

    • @datatab
      @datatab  2 года назад +1

      Many thanks for your nice feedback! Regards Hannah

  • @spidertenk5647
    @spidertenk5647 Год назад +18

    I love how you show us the examples. Very clear and practical!

    • @datatab
      @datatab  Год назад +1

      Glad it was helpful!

  • @classicallycomposed9864
    @classicallycomposed9864 4 месяца назад +1

    The best explanation I found after days of looking up various places for help. Thank You!

  • @lilydarcy8394
    @lilydarcy8394 10 дней назад

    Thank you for the explanation and examples! It has been some time I didn't calculate Chronbach's a, so I forgot the way it works. That was clear and to the point.

  • @sripalig
    @sripalig 2 года назад +13

    Thank you for being clear, concise and informative. The video was very helpful!

    • @datatab
      @datatab  2 года назад +2

      Glad it was helpful!

  • @charlottec9871
    @charlottec9871 2 года назад +5

    Thanks for making this video!! You made it so much easier to understand and love your examples!!!

    • @datatab
      @datatab  2 года назад

      Glad it was helpful! Many thanks for your feedback! Regards Hannah

  • @sofoniasadmassu1323
    @sofoniasadmassu1323 Год назад

    thank you for your short and precise explanation.

  • @soyandoat4106
    @soyandoat4106 2 года назад +4

    Thank you so much for your video! your explanation is so intuitive and so clear

    • @datatab
      @datatab  2 года назад

      Many thanks for the Feedback! Regards, Hannah

  • @raz2936
    @raz2936 Год назад

    This video is so great! It explains very clearly!

  • @dr.bhartikoria4537
    @dr.bhartikoria4537 5 месяцев назад

    learned many new things in a simple way from here...the best veeos

  • @CanuckRennsau
    @CanuckRennsau 3 месяца назад +1

    This was actually VERY helpful - thanks so much for creating this!

    • @datatab
      @datatab  3 месяца назад

      Glad it was helpful! Regards Hannah

  • @makis_chatzopoulos
    @makis_chatzopoulos 6 месяцев назад

    Thanks a lot. Excellent video!!! Easy to understand and useful.

  • @sc6620
    @sc6620 2 года назад +2

    Very clear and simple explanation!

    • @datatab
      @datatab  2 года назад

      Many thanks! 😊Regards, Hannah

  • @mariateresabuenavista8560
    @mariateresabuenavista8560 2 года назад +2

    I will definitely have my students have a go at using your online statistical computing facility. Many thanks!

    • @datatab
      @datatab  2 года назад +1

      Many thanks Maria! Regards Hannah & Mathias

  • @mgpringle
    @mgpringle 7 месяцев назад

    An excellent explanation, thank you.

  • @jaafarhoteit5882
    @jaafarhoteit5882 2 года назад +1

    Excellent explanation. Thank you!

    • @datatab
      @datatab  2 года назад

      Many thanks! Glad it was helpful! Regards Hannah : )

  • @wintergreen6519
    @wintergreen6519 2 года назад +1

    Thank youu for the vid, very simple and comprehensive!

    • @datatab
      @datatab  2 года назад

      Glad it was helpful! Regards, Hannah

  • @NicoBortoletto
    @NicoBortoletto 2 года назад +1

    Thank you. Clear and sound

    • @datatab
      @datatab  2 года назад

      Many thanks!!! 😊 Regards, Hannah

  • @moxikon
    @moxikon 2 года назад +1

    Amazing explanation, thank you!

    • @datatab
      @datatab  2 года назад

      Many thanks! 😊Regards, Hannah

  • @supatchakhanawong3
    @supatchakhanawong3 Год назад

    Thanks so much. It is very clear explanation.

  • @cynickej_pragmatik
    @cynickej_pragmatik Год назад

    Thank you! It helped me so much.

  • @5asyuhaidah359
    @5asyuhaidah359 2 года назад +1

    Thank you so much, this video really saves my time.

    • @datatab
      @datatab  2 года назад

      Glad it helped!

  • @preethirose8854
    @preethirose8854 Год назад

    thank you for the best and crisp explanation. it does not take so much time yet precise. it would be very useful if you teach Multi level modelling and structural equation modelling using AMOS

  • @elinadiary9357
    @elinadiary9357 4 месяца назад

    Awsom thank you loved it

  • @iskandarabdkhalek903
    @iskandarabdkhalek903 2 года назад +1

    great video. easy to understand. Thank you !!!

    • @datatab
      @datatab  2 года назад

      Glad it was helpful!

  • @bartmira
    @bartmira 5 месяцев назад

    Nice, makes it easy understandble

  • @jmwbantiyan
    @jmwbantiyan Год назад

    Thanks for the information.

  • @MrRajendra1979
    @MrRajendra1979 Год назад

    thanks for the video , very helpful video.

  • @chinaomi4792
    @chinaomi4792 Год назад +1

    Thank you for making this look very less mystical. It was really helpful.

    • @datatab
      @datatab  Год назад

      Glad it was helpful!

  • @faidihocine4507
    @faidihocine4507 Год назад

    MANY THANKS IT"s kind from you

  • @rejoicebassey6013
    @rejoicebassey6013 Год назад +1

    Very precise and accurate...thanks alot 🙏

  • @dw8312
    @dw8312 Год назад +1

    Great video, thank you!

    • @datatab
      @datatab  Год назад

      Glad you liked it!

  • @sameepinspires2669
    @sameepinspires2669 Год назад +1

    Thank you so much

  • @memm7231
    @memm7231 8 месяцев назад +1

    This is great thank you

    • @datatab
      @datatab  8 месяцев назад

      You're very welcome!

  • @julievatu1637
    @julievatu1637 2 года назад +1

    Well explained!! Thanks

    • @datatab
      @datatab  2 года назад

      Glad it was helpful and many thanks for feedback! Regards Hannah

  • @rkc6243
    @rkc6243 Год назад +1

    so good and easy to understand

  • @louiswestra8403
    @louiswestra8403 25 дней назад

    Thsi is sooo awasome

  • @tayibafatima4233
    @tayibafatima4233 Год назад +1

    Well explained!❤

  • @margaritoamapolo4891
    @margaritoamapolo4891 Год назад +1

    Great video!

  • @jukabede
    @jukabede Год назад

    That is so useful!!!!!

  • @Hiwaradan
    @Hiwaradan 2 года назад +1

    Your whole tutorials are amazing. A question: Do your DataTAB able to measure the validity (Discriminate and Convergent)?

    • @datatab
      @datatab  2 года назад

      what methods would you need for that? The simple correlation can be calculated of course! Regards Hannah

  • @abdullah_hamad
    @abdullah_hamad 2 года назад +1

    thanks so much

    • @datatab
      @datatab  2 года назад

      You're welcome and thanks for the nice feedback! Regards, Hannah

  • @bhaveshraj-qn1ml
    @bhaveshraj-qn1ml Год назад

    Please can you also provide drawback of the test at the end it will really help

  • @jeluuu
    @jeluuu 2 года назад +1

    Thank u!

    • @datatab
      @datatab  2 года назад +1

      You're welcome!

  • @aashadeepika.y1356
    @aashadeepika.y1356 Год назад +1

    Thank you mam 😍😍❤️

    • @datatab
      @datatab  Год назад

      Most welcome 😊

  • @jinzhang3035
    @jinzhang3035 2 года назад +1

    Hi there, when you say "the goal now is that the responses to the various items match well, i.e., are highly correlated", does it matter if some questions are highly positively correlated while other questions are highly negatively correlated? How does the sign of the correlation affect Cronbach's alpha?

    • @brendansharp4856
      @brendansharp4856 Год назад

      Im pretty sure it doesnt matter if they are positively or negatively correlated. The aim is to measure consistency, so whether that is positive or negative doesn't matter but rather that consistency does exist between the results

  • @mr.malinthaperera-universi1322
    @mr.malinthaperera-universi1322 2 года назад +1

    Good Video..

    • @datatab
      @datatab  2 года назад +1

      Thanks for the nice feedback! Regards, Hannah

  • @joffrimpong7720
    @joffrimpong7720 Год назад

    Please can you carry out such test on questionnaires with yes or no answers?

  • @TheMissantos
    @TheMissantos 9 месяцев назад

    How do I handle the test if I have missing values? In case I have an option of NA.
    Thank you for the video!

  • @AlokKumar-xu9sf
    @AlokKumar-xu9sf Год назад

    In which situation , we can use the Alpha cronbach analysis

  • @konatelassina5301
    @konatelassina5301 Месяц назад

    Can this be used with non-latent variables, actual scientific measurements, to determine if there is reliability in multiple trials of a scientific experiment and if more trials are needed to achieve data reliability?

  • @PaizaAAhmed
    @PaizaAAhmed 5 месяцев назад

    The alpha crombagh is used to find the realabiity of every kind of questions? thanks for you help

  • @Mskhosravi5506
    @Mskhosravi5506 Год назад

    hi, what is the minimum of cronbach's alpha? is 0.6 a good reliability?

  • @sathishkumard9511
    @sathishkumard9511 Год назад

    Need to calculate different variables captured in minutes how to apply for this

  • @UraraHopeT16842
    @UraraHopeT16842 2 года назад +1

    I feel like I'm asking a stupid question but.... regarding the example you gave about extroversion:
    because the "Cronbach's Alpha if deleted" for "enjoying social situations," is it too much to interpret that the item "enjoying social situations" is not a good indicator for measuring extroversion (in this specific example/dataset) altogether? Could it also mean that the other 3 items, though highly correlated to each other, are irrelevant to extroversion and "enjoying social situations" is actually the only appropriate item for measuring extroversion?

    • @datatab
      @datatab  2 года назад +1

      Sorry for the late answer! Yes, your sentence at the end is correct! With Cronbach's alpha, you can only measure the extent to which a group of questions is related to each other. Whether they really measure what they are supposed to measure is not something you can say! Therefore, it is also possible that all three items are very similar but measure something else and the one question only measures the "right thing". Regards, Hannah

    • @UraraHopeT16842
      @UraraHopeT16842 2 года назад

      @@datatab This was helpful, thanks!!

  • @yashfazoltaneffendi3281
    @yashfazoltaneffendi3281 Год назад

    what is corrected ltem-Total Correlation indicate for?

  • @samhasanpour1628
    @samhasanpour1628 Год назад

    Great video. By the way, your voice remided me of audrey hepburn hehe:)

  • @sanjaykrish8719
    @sanjaykrish8719 2 года назад +1

    sweet voice

    • @datatab
      @datatab  2 года назад

      Many thanks! 😊Regards, Hannah

  • @astrimadjid
    @astrimadjid Месяц назад

    Ah this is great. Danke aus Indonesien

  • @larissacury7714
    @larissacury7714 Год назад +1

    Thank you! Whats the difference between Cronbach's alpha and ICC?

    • @datatab
      @datatab  Год назад +1

      Hmm, I think Cronbach's alpha is a special case of ICC, but I have not investigated this and therefore consider the answer with caution! Regards Hannah

  • @applepakistan3164
    @applepakistan3164 2 года назад +1

    Madam, please add how to write in a dissertation about Cronbach's alpha statement

    • @datatab
      @datatab  2 года назад +1

      Many thanks for the feedback! I will put it on the to-do list! 😊Regards, Hannah

  • @soohyeonlee6753
    @soohyeonlee6753 2 года назад +1

    If I have 377 poeple to gather data, Respondents should be counted all of the people I have for Cronbach’s Alpha , is it right?
    Thank you for explaining

    • @datatab
      @datatab  2 года назад +1

      Yes I think so, not sure if I understood the question exactly but that should fit!

    • @soohyeonlee6753
      @soohyeonlee6753 2 года назад +1

      @@datatab I have 29 questions and 377 respondents to interview, distribute questionnaire and 5- Likert scale,

  • @arnoldgulay743
    @arnoldgulay743 Год назад

    Hello, I don't have an account of Data Tab, can you calculate the data for me?

    • @datatab
      @datatab  Год назад

      It is cheap, just buy one!

    • @arnoldgulay743
      @arnoldgulay743 Год назад

      @@datatab I don't have money, I am just a student, I'm from Philippines.

  • @adoi
    @adoi 2 года назад

    2:20 "the condition must be fulfilled... that all questions or items measure the same latent variable"
    Does that mean that, I can't calculate cronbach's alpha on questionnaires which have a single item for every domain? Thanks!

  • @dovidasm
    @dovidasm 8 месяцев назад +2

    Sounds weird though... Suppose your items (questions) were perfectly correlated, your alpha would be then >=1 (=excellent according to George and Mallery's interpretation). I would find this case undesiderable, it means you were not smart enough to "design" your questions; just knowing the answers of one question would let you perfectly guess the answers of the rest of the questions (?).
    Imagine this case:
    no! yes!
    I love chocolate ☐ ☐ ☐ ☐ ☐
    I hate chocolate ☐ ☐ ☐ ☐ ☐

    • @datatab
      @datatab  8 месяцев назад

      Yes, you're right! In a good Likert scale, the individual items should not correlate extremely highly with one another!

  • @nss490
    @nss490 2 года назад

    You sound like Arnold

  • @joshsteele5701
    @joshsteele5701 18 дней назад

    English from babble