Exploratory Factor Analysis

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  • เผยแพร่เมื่อ 24 ธ.ค. 2024

ความคิดเห็น • 160

  • @datatab
    @datatab  ปีที่แล้ว +9

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

  • @ranthony1556
    @ranthony1556 2 ปีที่แล้ว +100

    I learn all this in 15 minutes what has taken 4 years and $10,000. Thanks for this. Simple,clear with no distracting loud music.

    • @datatab
      @datatab  2 ปีที่แล้ว +10

      Many thanks : ) Regards Hannah

  • @shifatrimpu4566
    @shifatrimpu4566 11 หลายเดือนก่อน +12

    I was struggling with factor analysis and I had zero background in this. You video just saved my life, explained so nicely and such a clear visual representation within such short amount of time! Can't thank you more. Keep posting more please.

  • @emilyjanesGS
    @emilyjanesGS 2 ปีที่แล้ว +85

    Varimax is an orthogonal rotation, which assumes that factors are unrelated to each other. In your example, you've used personality traits, which are psychological constructs and would be expected to be related to each other (in psych, constructs are rarely if ever completely unrelated). An oblique rotation, which assumes factors are related, would normally be the most sensible choice in psychology research. The appropriateness of orthogonal vs oblique rotation for their variables/discipline is something people should be aware of and consider in EFA.

    • @m-bh2fb
      @m-bh2fb ปีที่แล้ว +1

      Thanks !!

    • @HQ4575
      @HQ4575 ปีที่แล้ว +8

      It's amazing how deep a rabbit hole every step of my research is taking me into, but again I'm the idiot who decided to make my own instrument for my first research project :')

    • @prawww-cn6ri
      @prawww-cn6ri 3 หลายเดือนก่อน +1

      @@HQ4575 same here😭 would you please help me

  • @100percent-
    @100percent- หลายเดือนก่อน

    This is the perfect refresher video to help me remember what i learned years ago in class to prepare for my comprehensive exams. Thank you for this video

  • @naoremanand
    @naoremanand 2 ปีที่แล้ว +23

    I have spent four years in learning these kind of courses and i found you. You are a life saver. Pls keep it up

    • @datatab
      @datatab  2 ปีที่แล้ว +2

      Happy to help and thanks for the nice Feedback!!! Regards hannah

  • @ivaniasobral540
    @ivaniasobral540 2 ปีที่แล้ว +7

    You've done what my teacher couldn't, thank you

    • @datatab
      @datatab  2 ปีที่แล้ว +1

      Glad I could help!

  • @innyn5247
    @innyn5247 10 หลายเดือนก่อน +2

    This is so simple, straightforward, and helpful. Thanks a lot!

  • @behailumulatie8098
    @behailumulatie8098 9 หลายเดือนก่อน +3

    Lack words to appreciate your exemplary lecture!

    • @datatab
      @datatab  9 หลายเดือนก่อน

      It's my pleasure! Thanks Hannah

  • @2mtk
    @2mtk 2 ปีที่แล้ว +11

    Thank you so much. You provided a much clearer explanation that my lecturer or any text books!

  • @shreyanshswarnakar2583
    @shreyanshswarnakar2583 ปีที่แล้ว +2

    One of the best lectures on EFA I have sat through

    • @datatab
      @datatab  ปีที่แล้ว +1

      Thanks!

  • @baconandphil1837
    @baconandphil1837 2 ปีที่แล้ว +6

    Great video! Great Explanations. This made me try the one month subscription to conduct an exploratory factor analysis. The software is easy to use and accessible immediately after purchase.
    I can highly recommend it! Facilitated my research A LOT!

    • @datatab
      @datatab  2 ปีที่แล้ว +1

      Many, many thanks for the nice Feedback!!! 😊Regards, Hannah

  • @davlukabb
    @davlukabb 2 ปีที่แล้ว +11

    Thank you, this has been so helpful to me. I'm a 1st year PhD student in social sciences working on my first literature review.

    • @datatab
      @datatab  2 ปีที่แล้ว +2

      Glad it was helpful! Regards, Hannah

  • @kanchandatta4668
    @kanchandatta4668 ปีที่แล้ว +1

    I understood the concept communalities after listening your explanation. Thank you so much.

  • @lisayip4305
    @lisayip4305 10 หลายเดือนก่อน +1

    Easy and clear. Above my expection,very helpful. Thank you.

  • @swagata99
    @swagata99 2 ปีที่แล้ว +1

    Really great. I have just started following all videos after watching this.

    • @datatab
      @datatab  2 ปีที่แล้ว

      Great 👍Many thanks!

  • @MrJoesouth
    @MrJoesouth 2 ปีที่แล้ว +3

    Why was I able to understand all of this, this was so understandable, thanks!

    • @datatab
      @datatab  2 ปีที่แล้ว

      Many thanks!

  • @arfa3812
    @arfa3812 ปีที่แล้ว

    one of the best videos on explanation of FACTOR ANALYSIS. THANKS A LOT. BY HEART 🧡🧡

  • @MutianTait-o8m
    @MutianTait-o8m ปีที่แล้ว +2

    Loved your explanation! So easy to understand!

  • @fatimahqadir6149
    @fatimahqadir6149 2 ปีที่แล้ว +1

    Very easy to understand video. One of the best on TH-cam ❤

    • @datatab
      @datatab  2 ปีที่แล้ว

      Glad you think so!

  • @dilinijayasinghe8134
    @dilinijayasinghe8134 10 หลายเดือนก่อน

    Omg you're so good. I literally cannot thank you enough!!! Thank you so very much.

  • @gazalmg8369
    @gazalmg8369 ปีที่แล้ว +1

    Veryyyyyyyyyyyyyyyyyyyyyyy helpful. that helped me so much! Thank you very much and please keep going.

    • @datatab
      @datatab  ปีที่แล้ว

      Many thanks! Regards Hannah : )

  • @iradukundacynthiaamal
    @iradukundacynthiaamal ปีที่แล้ว

    Amazing! This is very well and simply explained. Thank you!

  • @evinmcgraw6741
    @evinmcgraw6741 3 ปีที่แล้ว +2

    I really appreciate the videos that you are covering Test Theorie und Test Konstruktion lecture.

    • @datatab
      @datatab  3 ปีที่แล้ว +1

      Many thanks!!! Regards Hannah

  • @joaquincruz2404
    @joaquincruz2404 ปีที่แล้ว

    Thanks a trillion. Brilliantly explained.

  • @CARLOS_FM85
    @CARLOS_FM85 2 ปีที่แล้ว +2

    I finally understood many concepts.

    • @datatab
      @datatab  2 ปีที่แล้ว

      Greate!

  • @keamogetseelvismodise9518
    @keamogetseelvismodise9518 ปีที่แล้ว +1

    She's a life saver.

    • @datatab
      @datatab  ปีที่แล้ว

      Thanks!

  • @spk.777
    @spk.777 ปีที่แล้ว +1

    Excellent mam.Thank you so much for clear explanation

    • @datatab
      @datatab  ปีที่แล้ว +1

      Thanks!

  • @amjose13
    @amjose13 2 ปีที่แล้ว +2

    good. extremely useful for beginners

    • @datatab
      @datatab  2 ปีที่แล้ว

      Thanks !!!

  • @Chloe_Fung
    @Chloe_Fung 2 ปีที่แล้ว

    Thank you a lot!! Need to review all your videos to pass the exam😂

  • @xinmiao7223
    @xinmiao7223 2 ปีที่แล้ว +1

    Thank you so much! love the simple and logical explanation!

    • @datatab
      @datatab  2 ปีที่แล้ว

      You're very welcome!

  • @alevg9904
    @alevg9904 2 ปีที่แล้ว +1

    you are an amazing instructor, thanks a lot

    • @datatab
      @datatab  2 ปีที่แล้ว

      I appreciate that!

  • @bhadranandannarayanan5577
    @bhadranandannarayanan5577 10 หลายเดือนก่อน

    very nice presentation. well explained.

  • @aguedagomes2085
    @aguedagomes2085 ปีที่แล้ว

    Thank you very much for your explanation. I appreciate your work and effort.

  • @hk3993
    @hk3993 ปีที่แล้ว +1

    Great teaching!

    • @datatab
      @datatab  ปีที่แล้ว

      Glad it was helpful!

  • @EmmanuelMushi-l6u
    @EmmanuelMushi-l6u ปีที่แล้ว

    A very good presentation

  • @belstilulie
    @belstilulie 4 หลายเดือนก่อน

    Thank you for clear presentation

  • @mohamadhoseinkardan6065
    @mohamadhoseinkardan6065 5 หลายเดือนก่อน

    Thank you so much for your very clear explanation

  • @noktezist
    @noktezist ปีที่แล้ว

    You are my savior. thank you so much

  • @tadessebekele8172
    @tadessebekele8172 2 ปีที่แล้ว +1

    Well done!!! energetic and engaging explanation! bravo

    • @datatab
      @datatab  2 ปีที่แล้ว

      Glad you liked it! Regards, Hannah

  • @jamesathens
    @jamesathens 2 ปีที่แล้ว +1

    Thanks very much for this video! Very helpful!

    • @datatab
      @datatab  2 ปีที่แล้ว

      Glad it was helpful!

  • @tanyaradzwamundoga7943
    @tanyaradzwamundoga7943 ปีที่แล้ว

    Woooow excellent video. Thanks

  • @sheryn61
    @sheryn61 ปีที่แล้ว

    Thank you so much for the detailed explanation. This helped a lot!

  • @annasophia2005
    @annasophia2005 7 หลายเดือนก่อน +1

    this is fantastic! thank you so much!

    • @datatab
      @datatab  7 หลายเดือนก่อน

      Glad it was helpful!

  • @asmaashaban4195
    @asmaashaban4195 ปีที่แล้ว +1

    Perfect explanation

    • @datatab
      @datatab  ปีที่แล้ว

      Glad it was helpful!

  • @joppe191
    @joppe191 ปีที่แล้ว +1

    Thank you so much for these videos

    • @datatab
      @datatab  ปีที่แล้ว

      You're so welcome!

  • @leehyeah9133
    @leehyeah9133 ปีที่แล้ว

    Super helpful 😊

  • @uignireddngfiurdsgfiurdse
    @uignireddngfiurdsgfiurdse 2 ปีที่แล้ว +2

    I wish my stats professor in undergrad was even a tenth as good as you.

    • @datatab
      @datatab  2 ปีที่แล้ว

      Glad you liked it!

  • @NatashaMWeah
    @NatashaMWeah 11 หลายเดือนก่อน

    This Video was very helpful .

  • @woodworkingaspirations1720
    @woodworkingaspirations1720 2 ปีที่แล้ว +1

    Beautiful talk

    • @datatab
      @datatab  2 ปีที่แล้ว

      Thank you

  • @subhampradhan4442
    @subhampradhan4442 2 ปีที่แล้ว +1

    Thanks ma'am it really helped me a lot

    • @datatab
      @datatab  2 ปีที่แล้ว

      Most welcome 😊

  • @missionfitness7933
    @missionfitness7933 2 ปีที่แล้ว +1

    Love this! thank you!

    • @datatab
      @datatab  2 ปีที่แล้ว +1

      You're so welcome!

  • @tahabimuhammad4524
    @tahabimuhammad4524 10 หลายเดือนก่อน

    Great explanations (y)

  • @ludovicamedda6900
    @ludovicamedda6900 2 ปีที่แล้ว +1

    You just saved a life.

    • @datatab
      @datatab  2 ปีที่แล้ว

      Many thanks for the feedback : )

  • @steveh4920
    @steveh4920 2 ปีที่แล้ว +1

    very helpful. thank you

    • @datatab
      @datatab  2 ปีที่แล้ว

      Glad it was helpful!

  • @yaweli2968
    @yaweli2968 8 หลายเดือนก่อน +1

    In PCA, proportion of eigenvalues > 80% is also considered as third method.

    • @datatab
      @datatab  8 หลายเดือนก่อน

      Many thanks for the hint! Regards Hannah

  • @nagandlakavitha4807
    @nagandlakavitha4807 2 ปีที่แล้ว +1

    Excellent....

    • @datatab
      @datatab  2 ปีที่แล้ว

      Many thanks : ) Regards Hannah

  • @splham
    @splham 2 ปีที่แล้ว +1

    Thank you. Do we calculate the Eigean value first to assign the numbers of factor?

  • @matthewsilver5455
    @matthewsilver5455 2 ปีที่แล้ว +5

    This is great!! Thank you so much!
    I was just wondering why you used 3 as the amount of factors at the beginning? How did you know to use that instead of 2,4,5 etc.

    • @quantquill
      @quantquill 2 ปีที่แล้ว +1

      This is explained in the video. Because the model output shows three factors have Eigenvalues greater than 1.

    • @datatab
      @datatab  2 ปีที่แล้ว

      You can use the eigenvalue criterion or the elbow method. I think they are also explained in the video! Regards Hannah

    • @datatab
      @datatab  2 ปีที่แล้ว

      Many thanks Quant Quill!

    • @jamesgrellier4750
      @jamesgrellier4750 ปีที่แล้ว

      @@datatab I think that the question was: why do you set the factor levels at 3 as the first step in the PCA. In other words, why would you set the factor levels at 3 prior to creating the eigenvectors etc.? I am also curious - because in the Explained Total Variance table you have 6 factors ("components") listed rather than the 3 you selected.

  • @binishbatool248
    @binishbatool248 ปีที่แล้ว

    At 9:22 figures do not match your explanation. This creates confusion. Can you please check it?

  • @fenrickmsigwa7437
    @fenrickmsigwa7437 3 ปีที่แล้ว +1

    Thanks. This is awesome

    • @datatab
      @datatab  3 ปีที่แล้ว

      Thanks for the nice Feedback! Hannah & Mathias

  • @shawnershorts
    @shawnershorts 2 ปีที่แล้ว +1

    So, please correct me if I'm wrong (I'm revisiting the topic). When you identify the each factor, you can create a factor score for each individual by using the relevant component values in each factor and the actual individual observations, right?

  • @user-jn3pd7od3w
    @user-jn3pd7od3w 2 ปีที่แล้ว +2

    Thank you very much for your clear & precise explanation. Is there any difference(s) on conducting PCA, EFA and CFA?

    • @datatab
      @datatab  2 ปีที่แล้ว +2

      Yes there is a small difference!

    • @user-jn3pd7od3w
      @user-jn3pd7od3w 2 ปีที่แล้ว +1

      @@datatab Thank you for making this easy-to-use software and the training material. It helps a lot.
      One Suggestion: please add a button of "Select ALL" for lazy people like me. I am doing PCA & Reliability of 40 variables; but have to click them one by one after switching to one another analytical tool. thanks again.

  • @johnmotha6593
    @johnmotha6593 2 ปีที่แล้ว +1

    quite useful

    • @datatab
      @datatab  2 ปีที่แล้ว

      Glad you think so!

  • @teokailun94
    @teokailun94 2 ปีที่แล้ว +1

    Sorry I have a question here....
    If I want to perform bivariate correlations of the factors after EFA, how do I transform data from the multiple variables into data for a single factor for the correlation analysis with other factors?
    Thanks for your time and attention.

    • @datatab
      @datatab  2 ปีที่แล้ว

      Sorry for the late reply! Unfortunately, I can not answer you in a hurry, I would have to read up first! Regards Hannah

  • @woblogs2941
    @woblogs2941 2 ปีที่แล้ว

    thank you so much ... if the kink is formed below eigen value 1 then what to do?

  •  2 ปีที่แล้ว +1

    Thank you.

    • @datatab
      @datatab  2 ปีที่แล้ว

      Thanks : )

  • @bluemmttr
    @bluemmttr ปีที่แล้ว

    Hello. thanks for your video. i have a qoestion. Is it necessary to do exploratory factor analysis to perform structural equation analysis of a theoretically determined structure?

  • @jasbirmanhas3355
    @jasbirmanhas3355 3 ปีที่แล้ว +1

    Excellent. Kindly upload videos on Research Designs

    • @datatab
      @datatab  3 ปีที่แล้ว

      Many Thanks!!! We will put it on our To-Do List!!! Regards, Hannah & Mathias

  • @kanchandatta4668
    @kanchandatta4668 ปีที่แล้ว

    which one is 1 and which one is 5 is not mentioned. some times scalling starts from 5,4,3 ..1 or some times , in ascending order. which order has been followed here? i think 5,4,3,2,1 . Am I correct?

  • @AbdelhamidSuleiman
    @AbdelhamidSuleiman ปีที่แล้ว

    Hello Hannah,
    can the underlying factors be seen as independent variables and the observeable phenomena as dependent variables?
    Best regards!

  • @Haloofhope
    @Haloofhope 2 ปีที่แล้ว +1

    Is it possible to conduct Strucutural Equation Modeling in datatab?

    • @datatab
      @datatab  2 ปีที่แล้ว

      No sorry, at the moment this is not possible!

  • @utsavkhanna5369
    @utsavkhanna5369 2 ปีที่แล้ว

    I have a query, the variance of the variables, for each factor, in the component matrix, is same, as the variance of the variables for each factor in the rotation matrix, I don't see any difference between the two methods, what is the difference between the two methods?

  • @edutests
    @edutests 2 ปีที่แล้ว +1

    thank you

    • @datatab
      @datatab  2 ปีที่แล้ว

      You're welcome

  • @itsnotme6465
    @itsnotme6465 2 ปีที่แล้ว +2

    hi, and thanks for the video . i wanted to ask what variance is. plz use an example . Thank u

    • @datatab
      @datatab  2 ปีที่แล้ว

      Thanks for your question, we have a video on Variance: th-cam.com/video/jx8a_jdlxAQ/w-d-xo.html

  • @sasakevin3263
    @sasakevin3263 2 ปีที่แล้ว +2

    What's the difference between factor analysis and PCA?

    • @jamesgrellier4750
      @jamesgrellier4750 ปีที่แล้ว

      It's a good question. In the presentation, I got the feeling that the term "components" (i.e. the term used in PCA) is used to mean "factors" here. I think that the difference is that PCA is seeking to reduce dimensionality of an analysis through creating components that "summarise" a greater number of variables, whereas for EFA the goal is to elucidate explicitly latent variables.

    • @mariussautmannsautmann751
      @mariussautmannsautmann751 6 หลายเดือนก่อน

      Exploratory factor analysis seeks for underlying dimensions that explain correlations among the variables, whereas PCA reduce variables into sets of factors (Principle Components) to explain the dataset with a fewer number of variables.

  • @ebnouseyid5518
    @ebnouseyid5518 2 ปีที่แล้ว +1

    Thanks for the wonderful lecture.
    I have a question in EFA:
    The assumption that the measurement errors are not correlated between them?
    This assumption isn't valid in reality ?

    • @datatab
      @datatab  2 ปีที่แล้ว +1

      Hmm, I can't answer that for you unfortunately! It is true that in reality the requirements are often not taken quite so strictly!

  • @MrWho-qh9zq
    @MrWho-qh9zq ปีที่แล้ว

    What about factor loading, how to calculate that, am I missing something ?

  • @foroughho9236
    @foroughho9236 ปีที่แล้ว

    Hi can you also create a video on confirmatory factor analysis please?

  • @rufaidataleb6871
    @rufaidataleb6871 2 ปีที่แล้ว +1

    🙏🙏🙏🙏

    • @datatab
      @datatab  2 ปีที่แล้ว

      🙂

  • @larissacury7714
    @larissacury7714 2 ปีที่แล้ว

    Hi, thank you very much! It reminded me a lot about multicolinearity in linear regression, are they related somehow?

  • @ieltstoefl3340
    @ieltstoefl3340 ปีที่แล้ว

    Thanks

  • @imhereforthepopcorn
    @imhereforthepopcorn 3 ปีที่แล้ว +1

    Can you Do a video for principal axes and maximum likelihood?

    • @datatab
      @datatab  3 ปีที่แล้ว

      thank you for your feedback! I write it down but can not promise, there are so many topics : )

  • @vivilb84
    @vivilb84 ปีที่แล้ว

    thanks for the video. this is mostly PCA , rather than factor analysis. they are different.

    • @oryana2023
      @oryana2023 5 หลายเดือนก่อน

      This is FA not PCA !

  • @johnhobasa1741
    @johnhobasa1741 2 ปีที่แล้ว

    pls if you are online please help me by how to analysis logistic regression with more than 13 independent variable and how to check and write interpreted report

  • @binishbatool248
    @binishbatool248 ปีที่แล้ว

    And you follow the steps to buy in the end DATAtab... Good Marketing

  • @FelipeCampelo0
    @FelipeCampelo0 3 หลายเดือนก่อน

    I have so many questions that I can’t even choose the first one lol

  • @simplyram2676
    @simplyram2676 2 ปีที่แล้ว +1

    Nice....Thank you so much..How many respondents are needed to do this EFA? Is there any literature to support this?
    Im planning to do pilot test on factors that affect staff retention.But for sure, its a lot.So, I would like to lessen the factors.Thank you in advance

    • @datatab
      @datatab  2 ปีที่แล้ว

      Many thanks. Unfortunately, I can not answer that right away! I would also have to do a literature search. Sorry!!!

  • @kanalensomermads
    @kanalensomermads 10 หลายเดือนก่อน

    I just dont understand the difference between EFA and PCA then? Isnt this PCA?

  • @paolapozzolo3958
    @paolapozzolo3958 2 ปีที่แล้ว

    I appreciate the simplification but EFA and PCA are two different tecniques based on different extraction methods. The data used as example require EFA but your procedure is about PCA....

    • @datatab
      @datatab  2 ปีที่แล้ว

      Many thanks for your feedback!!! I will have a closer look at it!!!

  • @haceraltan2604
    @haceraltan2604 2 ปีที่แล้ว

    what is identity matrix? is it component matrix?

  • @jenniferlu4740
    @jenniferlu4740 2 ปีที่แล้ว +1

    Am I missing something here??? Why is the entire video on PCA...

    • @datatab
      @datatab  2 ปีที่แล้ว

      Many thanks for your feedback! What are you missing?

  • @oscargomezgonzalez8373
    @oscargomezgonzalez8373 ปีที่แล้ว +1

    PCA is not EFA. You said "In Statistics Exploratory Factor Analysis is also called Principal Component Analysis (PCA)" but that's not true. Those are two different analyses. That's a common confusion, but pls, check the differences.

  • @youexpire
    @youexpire ปีที่แล้ว

    what you talked about was principal component analysis instead of factor analysis.

  • @aldominicgatlabayan6925
    @aldominicgatlabayan6925 9 หลายเดือนก่อน

    Can i have only one factor?

  • @humss1charlesmercado884
    @humss1charlesmercado884 7 หลายเดือนก่อน

    help...

  • @yeachstheslayer
    @yeachstheslayer ปีที่แล้ว

    lol need payment

  • @mrfrost6337
    @mrfrost6337 2 ปีที่แล้ว

    sadistic calculator

  • @PresentYogmath
    @PresentYogmath ปีที่แล้ว

    Present Yogmath
    1 second ago
    th-cam.com/video/3oLt6KaJ8w8/w-d-xo.html
    Great video! As someone who has used SPSS for data analysis, I can definitely attest to its power and usefulness. The user-friendly interface and wide range of features make it a go-to choice for researchers and analysts alike.
    I appreciated how the video showcased the various capabilities of SPSS, from data visualization to hypothesis testing. It's impressive to see how quickly and easily SPSS can produce meaningful insights from raw data.
    If you're new to SPSS or considering switching to it for your data analysis needs, this video is a great introduction. And for those who are already familiar with SPSS, it's a helpful reminder of all the amazing things this software can do.
    Thanks for sharing this informative video!

  • @mufarrahsikandar2972
    @mufarrahsikandar2972 2 ปีที่แล้ว

    hi can i have your email address please? i have really struggling with my results and dont know how to correct them.