Pearson Correlation Analysis using SPSS - Running, Interpreting, and Reporting

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  • เผยแพร่เมื่อ 30 มิ.ย. 2024
  • An introduction to the concept of Correlation Analysis. How to run, interpret, and report the results.
    Session Contents
    00:00 - Channel Intro
    00:15 - What is Correlation
    03:29 - Pearson Correlation Analysis
    06:30 - Interpretation of Coefficient
    08:18 - Sample Hypothesis
    09:58 - Example in SPSS and Interpretation
    13:45 - Reporting Correlation Analysis Results
    For Lecture Notes on Correlation Analysis, Please visit
    researchwithfawad.com/index.p...
    #PearsonCorrelation #Correlation #Interpretation #ReportingCorrelation #ResearchCoach #SPSS
    #ReportingCorrelationAnalysis #InterpretingCorrelationResults

ความคิดเห็น • 265

  • @jullisaregales6227
    @jullisaregales6227 2 หลายเดือนก่อน +9

    I don’t know why I’m paying university if you’re my only hope. I’m very grateful for this video and glad I found you. So helpful

    • @researchwithfawad
      @researchwithfawad  2 หลายเดือนก่อน

      Thanks. I am glad the video was helpful.

  • @veronicasonawane7371
    @veronicasonawane7371 ปีที่แล้ว +11

    i feel investing lakhs in university is a waste of money, actual learning are from these videos

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว +1

      Pleasure. I am glad you liked it. Please do share in your research circle.

  • @trueforum378
    @trueforum378 ปีที่แล้ว +18

    This is not a lecture. This is a Wonderful Piece of art. Thank you Dr. Fawad

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      Many thanks. You are very welcome. I am happy to know that the session was helpful.

  • @sophylasuh
    @sophylasuh ปีที่แล้ว +8

    You are such a good teacher. An ideal model of how a teacher should teach. Thank you so much

  • @ifeanyichi649
    @ifeanyichi649 ปีที่แล้ว +8

    You made complicated things simpler. I appreciate you for that.

  • @katarinastankovic1526
    @katarinastankovic1526 8 หลายเดือนก่อน +5

    Your videos are incredible, the way you teach is so clear, and you solely taught me the whole spss statistics. Huge thanks from me and my friends!!

    • @researchwithfawad
      @researchwithfawad  8 หลายเดือนก่อน

      Thank you. I am glad you liked it.

  • @kalukeru
    @kalukeru 2 ปีที่แล้ว +5

    You have explained this in a very lucid and simple language. The concept is clear now. Thanks a lot Sir

  • @AsselStambekova
    @AsselStambekova 10 หลายเดือนก่อน +1

    Thank you so much for your tutorials ! They're so helpful and easy to follow! Your teaching style is simple yet effective!

  • @ChiegeUgochukwu
    @ChiegeUgochukwu 6 หลายเดือนก่อน +1

    I have been going through numerous videos for a particular explanation until i came across this piece. This was well explained and for me the best explanatory video

  • @superfungrandmajenny1269
    @superfungrandmajenny1269 ปีที่แล้ว +2

    Thank you for this awesome video on using SPSS! I found it to be very helpful!

  • @sonujangra12
    @sonujangra12 4 หลายเดือนก่อน +2

    Literally, the way of teaching ❤️❤️❤️❤️ thank you so much sir. Gratitude and Respect from India🙏🏻

  • @iPsychlops
    @iPsychlops ปีที่แล้ว +3

    This got me to the next step in my dissertation results section. Thank you so much.

  • @kreatesmart8080
    @kreatesmart8080 11 หลายเดือนก่อน +1

    Truly a fantastic teacher. Awesome clarity and precision. Invaluable help to my research.

  • @parinayamjal5768
    @parinayamjal5768 ปีที่แล้ว +1

    Excellent explanation!! I really enjoyed learning Pearson Corr via this video. Thank you!!

  • @alexpetrescu329
    @alexpetrescu329 8 หลายเดือนก่อน +1

    Thank you Fawad, your videos are the best I've seen.

    • @researchwithfawad
      @researchwithfawad  8 หลายเดือนก่อน

      Pleasure. I am glad you liked it.

  • @israeliseoluwa6704
    @israeliseoluwa6704 5 หลายเดือนก่อน +1

    The best tutorial so far! Thank you so much, man!

  • @AKSHEHU2012
    @AKSHEHU2012 3 ปีที่แล้ว +1

    Masha Allah. Thank you very much for this tutorial. Very helpful

  • @serapbayhan2063
    @serapbayhan2063 8 หลายเดือนก่อน +1

    Very enlightening !! Well-taught.. Perfect teaching !! THANK YOU SO MUCH !!

  • @adeenaahmednoor3246
    @adeenaahmednoor3246 ปีที่แล้ว +1

    an extremely helpful and simple manner to explain a complex thing. thanks a lot

  • @ifrahsyed4316
    @ifrahsyed4316 หลายเดือนก่อน +1

    Dr. Fawad your content is a savior. Thankyou so much :)

  • @sharjeelahmed2914
    @sharjeelahmed2914 ปีที่แล้ว +2

    You are a life saver man♥️Thankyou so much, you have my respect

  • @btsstan5157
    @btsstan5157 ปีที่แล้ว

    im scared if id fall in love with research because of u sir! Thank you so much for this! you literally saved me. an excellent video!

  • @wanisaleem4821
    @wanisaleem4821 ปีที่แล้ว +1

    U are absolutely 💎 sir
    May Allah increase ur knowledge manifolds and keep u healthy

  • @yudhaaswardani6919
    @yudhaaswardani6919 2 ปีที่แล้ว +1

    Thank you for your explanation. Your explanation is superb. Keep up the good work sir

  • @rdebrah
    @rdebrah 6 หลายเดือนก่อน +1

    Thanks for your explanation. You have been helpful to me in interpreting my correlation analysis.

  • @farooqislam47
    @farooqislam47 11 หลายเดือนก่อน +1

    excellent method. it was short concise and a great way to make others understand the concept of correlation.

  • @marwanf17
    @marwanf17 6 หลายเดือนก่อน +1

    Thanks you.
    Your style of teaching is incredible.

  • @DeysBangalore
    @DeysBangalore ปีที่แล้ว +2

    Thank you so much sir you explained it very smoothly and it is helping me a lot 👍

  • @noureddineatouf2908
    @noureddineatouf2908 ปีที่แล้ว +2

    Well explained professor. I am really much obliged!

  • @saliknazir4768
    @saliknazir4768 ปีที่แล้ว +1

    Beautifully explained. I am indebted!

  • @nikitadas9671
    @nikitadas9671 ปีที่แล้ว +2

    Thanks so much! Very well explained

  • @lisatsakani4702
    @lisatsakani4702 2 ปีที่แล้ว +1

    Thank you so much for the tutorial. I found it very useful

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      Glad to hear that! Please do share in your research circle.

  • @freddibnah4843
    @freddibnah4843 ปีที่แล้ว +1

    Thank you so much. Brilliantly well explained

  • @dilberishova9832
    @dilberishova9832 2 ปีที่แล้ว +2

    Thank you very much for you explanation, it was very helpful. By the time Ramadan Mubarak.

  • @rislanfarook7842
    @rislanfarook7842 2 ปีที่แล้ว +1

    Short and very useful presentations. Great work keep it p.

  • @nelsonlomoro8120
    @nelsonlomoro8120 3 ปีที่แล้ว +1

    Indeed is very informative. Good bless you.

  • @amenhameed168
    @amenhameed168 ปีที่แล้ว

    Thank you for this lecture, it’s a big help!!

  • @erumshahzadi5070
    @erumshahzadi5070 2 ปีที่แล้ว +1

    Excellent instructional delivery

  • @hanankhalifa2589
    @hanankhalifa2589 4 หลายเดือนก่อน +1

    Thank you. The reporting part is really helpful

  • @bluntblissshow
    @bluntblissshow 7 หลายเดือนก่อน +1

    This is very helpful.
    Thank you for sharing.

  • @mohdmushtaq6891
    @mohdmushtaq6891 ปีที่แล้ว +1

    Very informative and the way of explaining is good

  • @asupriya808
    @asupriya808 ปีที่แล้ว +1

    Sir, thankyou so much..... Cleared explaination .

  • @ayeshascorner8703
    @ayeshascorner8703 2 ปีที่แล้ว +1

    seriously ap ny kamal ka smjhaya hy 👌🏻

  • @sunitakhatta1531
    @sunitakhatta1531 2 หลายเดือนก่อน +1

    Beautifully explained .

  • @kevinamooteeveeren969
    @kevinamooteeveeren969 ปีที่แล้ว +1

    Excellent presentation.thank you.

  • @kelechiobinnanwankpa4494
    @kelechiobinnanwankpa4494 2 ปีที่แล้ว +1

    Thank you for your useful explanation

  • @theregflerm7177
    @theregflerm7177 2 ปีที่แล้ว +1

    This is great. Thank you

  • @eyerusm721
    @eyerusm721 2 ปีที่แล้ว +1

    Well explained 👏 many thanks 😊

  • @anniechanda2692
    @anniechanda2692 2 ปีที่แล้ว +1

    This is really great 👍

  • @muhammadnaeem7869
    @muhammadnaeem7869 3 ปีที่แล้ว +1

    Amazing formatting

  • @Sunshine-lg7qm
    @Sunshine-lg7qm ปีที่แล้ว +1

    Thank you sir. It helped me a lot

  • @emaaneemaane7emaaneemaane7
    @emaaneemaane7emaaneemaane7 2 หลายเดือนก่อน

    ASSALAM U ALAIKUM JAZAKAALLAH KHAIR VERY WELL EXPLAINED SIR STAY BLESSED AMEEN 🤲

  • @tilahunzeleke8871
    @tilahunzeleke8871 หลายเดือนก่อน +1

    Thanks a lot!!

  • @Educationinsights00
    @Educationinsights00 ปีที่แล้ว +1

    Outstanding sir .....♥️

  • @AdhilAramam
    @AdhilAramam 4 หลายเดือนก่อน +1

    Such a informative channel

  • @ndateelelahainima9784
    @ndateelelahainima9784 9 หลายเดือนก่อน +1

    Simply amazing 🥳🥳🥳🥳

  • @mercykadenyi257
    @mercykadenyi257 5 หลายเดือนก่อน

    Thank you for this

  • @sadaf.56
    @sadaf.56 2 ปีที่แล้ว +2

    😭😭😭 THANK YOU SO SO MUCH😊😊

  • @fayyazahmed3467
    @fayyazahmed3467 2 ปีที่แล้ว +2

    Excellent sir 👌☺️

  • @Lonesurviour79
    @Lonesurviour79 ปีที่แล้ว +1

    Thank you professor

  • @ajvg.unjtjakt
    @ajvg.unjtjakt 2 ปีที่แล้ว

    JAZAK ALLAH

  • @marsimoiigabisaaa8993
    @marsimoiigabisaaa8993 ปีที่แล้ว

    Thank you so much for the clear explanation of the stats. please, would you present the effect size concept? Tesfaye from Ethiopia

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      Pleasure. I am glad you liked it. Hopefully soon i can do a video on Effect Size.

  • @kamurungimugisacharles7384
    @kamurungimugisacharles7384 ปีที่แล้ว +1

    Thank you very much sir

  • @romnickalfonso8351
    @romnickalfonso8351 2 ปีที่แล้ว

    Thank you💕

  • @arielleamanya4019
    @arielleamanya4019 4 หลายเดือนก่อน

    Thank you very much for your video. Please how did you get your nominal variables to become scale variables ?

  • @user-cr4ew5wr6z
    @user-cr4ew5wr6z 3 หลายเดือนก่อน +1

    Amazing

  • @nadyaali9692
    @nadyaali9692 2 หลายเดือนก่อน

    Hello thank you so much for explaining this! Can I know from what source the correlation coefficient table that helps us interpret the correlation is from? I would like to find it so that I can cite it as well.

    • @researchwithfawad
      @researchwithfawad  2 หลายเดือนก่อน

      You may refer to any SPSS book. Like by Dail L Fields or Julie Palant.

  • @gulshanbegum8865
    @gulshanbegum8865 2 ปีที่แล้ว +1

    Nice explanation sir

  • @gracefolorunsho1815
    @gracefolorunsho1815 ปีที่แล้ว +1

    Thank for this video. How do I calculate correlation between two different groups with multiple variables? Also can I make a graph for this analysis? Thanks

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      Thanks for watching. Please watch the videos
      th-cam.com/video/DMoQ9IT_aPQ/w-d-xo.html
      th-cam.com/video/PiafWyZxdSg/w-d-xo.html

  • @maryjoybiazon7192
    @maryjoybiazon7192 ปีที่แล้ว

    Thank you so much for this. May I use this for my students to watch?

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      Thanks. I am glad you liked it. Sure, please do share the video.

  • @audreyziqi4227
    @audreyziqi4227 2 ปีที่แล้ว +2

    Hi Sir, I would like to ask for the data set shown in the video, what are the values for SL1, SL2 and so on referring to? Is it Likert Scale from Strongly Disagree to Strongly Agree? And are there any videos demonstrating how to transform the variables at 10:06? Thank you so much!

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว +1

      Thanks for the query. yes, the item response scale was a likert scale. The items (SL1 to SL7) were transformed (Mean Score was taken). You can do it by going into the Transform -> Computer Variable and then take the mean for the variable.
      As for the data, i am afraid the data is part of an ongoing study and cannot be shared.

    • @audreyziqi4227
      @audreyziqi4227 2 ปีที่แล้ว +1

      @@researchwithfawad Thank you so much for the quick and enlightening reply Sir! Truly helped me with my research!

  • @yaraashour9765
    @yaraashour9765 2 ปีที่แล้ว

    hello Fawad, thank you for the video. I want to ask why the p value in the spss comment said that correlation is significant at the 0.01 and when you report it you write p < .001 ? is there a differance or the same?

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว +1

      It is a normal approach to reporting significant results. When the p value is less than 0.05, we normally report the p value as is. However when it is less than 0.01 or 0.001 we write p < 0.001

    • @khalidnovo
      @khalidnovo 2 ปีที่แล้ว

      correlation is significant at the 0.01 - means cut-off value
      whereas p < .001 means actual results

  • @junebyun2180
    @junebyun2180 ปีที่แล้ว

    Hello, thank you for the video! :) However, I have a question for interpreting the results. I wrote a thesis and my hypothesis was « there is a significant relationship between brand image and masstige purchase intent ». I did Pearson’s Correlation and found a weak correlation (r = .273 and p < 0.001). Could you confirm that, even though the correlation is weak, my hypothesis is supported? And what would it concretely mean? Can I say that this is representative of my data or the population? I’m confused as to if I can give recommendations for masstige companies to work on brand image by only showing that there is a correlation. Could you please enlighten me?

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      You hypothesis is supported as p value is less than 0.05

  • @gt8848
    @gt8848 11 หลายเดือนก่อน

    I have been looking for opportunity for a while now. Thank you for the clear presentation. However, I like to ask for knowledge sake. Please is multiple correlation analysis the same thing as correlation matrix you talked about in this video.

    • @researchwithfawad
      @researchwithfawad  11 หลายเดือนก่อน +1

      Thanks for watching. if by multiple correlation you mean multiple bivariate correlation analysis, then yes

  • @tracy-leesam5176
    @tracy-leesam5176 9 หลายเดือนก่อน

    Hi thank you for this it is really helpful, is there anyway I could get the source of where you got the persons strength table, I'm struggling to find one 1 can reference

    • @researchwithfawad
      @researchwithfawad  9 หลายเดือนก่อน

      Thanks for watching. You can see any statistics book. Books.google.com can be a place to start.

  • @markjoshuapron2883
    @markjoshuapron2883 3 หลายเดือนก่อน

    Good day! Our research statement of the problem goes like this:
    2. What is the level of financial literacy of the students in terms of:
    A. Savings
    B. Budgeting
    C. Investing
    3. What is the students' consideration in their purchasing decisions in terms of :
    A. Social
    B. Economic
    C. Psychological aspects
    We used a 4-point likert scale for the questionnaire and we also used weighted mean for this.
    If we are to correlate these two variables using pearson correlation, how can we do it since there are factor isolating questions in each statement of the problem?
    Would really be glad for your help. Thank you so much!

    • @researchwithfawad
      @researchwithfawad  3 หลายเดือนก่อน +1

      If you have a likert scale to measure the constructs, you can correlate them using Peason Correlation.

    • @markjoshuapron2883
      @markjoshuapron2883 3 หลายเดือนก่อน

      @@researchwithfawad thank you so much!

  • @itzfayez7806
    @itzfayez7806 2 ปีที่แล้ว +1

    VERY ENJOYABLE LESSON MY ALLAH BLESS YOU

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว +1

      Thanks. I am glad you liked it. Ameen

    • @itzfayez7806
      @itzfayez7806 2 ปีที่แล้ว

      @@researchwithfawad I enjoyed it more than I liked it. My final SPSS exam is this coming Saturday, and watching your videos made everything easy for me I am about to make a zoom meeting with my colleagues to do a final revision, and this helped me more than you think thank you, brother

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      Thank for your appreciation. Please do share it in your research circle. You may visit my website for other tutorials/lecture notes
      www.researchwithfawad.com

  • @sophiabajracharyapradhan7728
    @sophiabajracharyapradhan7728 ปีที่แล้ว +1

    Helpful

  • @odongowandago5350
    @odongowandago5350 4 หลายเดือนก่อน +2

    great

  • @chefberrypassionateresearcher
    @chefberrypassionateresearcher หลายเดือนก่อน

    Professor. Is checking for correlation among the variables, a requirement before doing cluster analysis using those variables?

    • @researchwithfawad
      @researchwithfawad  หลายเดือนก่อน

      I am not sure about cluster analysis. You may read about it.

  • @joshuaoluga4770
    @joshuaoluga4770 ปีที่แล้ว

    Very clear guidance. however, may be there was a need for the facilitator to through more light on how to enter data into SPSS for analysis.

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      Thanks. I am glad you liked it. Here is an introductory SPSS video that may help.
      th-cam.com/video/dfzr-SaE1l4/w-d-xo.html

  • @anastark
    @anastark ปีที่แล้ว

    Hello, sir, I am a MBA student conducting a research study. I do really need your help. In the mins 10:07, you mentioned that you had already transform the variables (SL, SE, JS, LS), so how’s you did that? Is that the mean score from overall variables? Please kindly explain, sir! As I don’t catch up with this part 🙏🏼

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      You can do it in SPSS.
      You will need to take the sum of the individual items. Let say, i have Organizational Commitment measured using 4 items COM1, COM2, COM3, COM4
      If you have it in SPSS,
      Go to Transform -> Compute Variable
      In the Target Variable Enter the Name of the New Variable that is to be created based on taking the average, let say COMM.
      In the numeric expression type in
      Mean(COM1, COM2, COM3, COM4)
      Press OK. The new variable is created at the end of the Data View and is also visit in the variable view. You have now composite score for each respondent that you can use in regression.

  • @mehmetalpdemir3565
    @mehmetalpdemir3565 2 ปีที่แล้ว +1

    Dear Fawad, I have a data set, on one hand, 12 questions related to engaging and felt confident, and on the other hand 13 different statements about online activities. For example So Can I look item by item for correlation? If it is not clear I would like to email you or discuss it with you. It is so important for me. I appreciate if you could help me out

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      Hi. Here is my email
      Kh.fawad83@gmail.com

    • @mehmetalpdemir3565
      @mehmetalpdemir3565 2 ปีที่แล้ว

      @@researchwithfawad thank you Fawad, you are kind of you
      I will email you soon

  • @cathrineloukham7050
    @cathrineloukham7050 2 ปีที่แล้ว

    Sir, I'm planning to conduct a study examining the influence of independent variables A, B, C, and D on dependent variable X. For this purpose, I have framed a questionnaire adopting questions developed by other researchers for each variable. Is it okay to do that? Please enlighten me on this issue.

  • @zintlemnyani230
    @zintlemnyani230 2 ปีที่แล้ว

    Great explanation.. am conducting a research on the relationship between motivation and job satisfaction.. my data set has 23 questions.. do I have to divide the questions in order to test correlation between these two variables.. or I calculate the correlation of all the variables…am confused please help🙏

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      Thanks. I am glad you liked it. You meed to create composite score for motivation and job satisfaction. This is done by take mean of items measuring motivation and job satisfaction. Then run correlation

    • @zintlemnyani230
      @zintlemnyani230 2 ปีที่แล้ว +1

      Thanks a lot it makes sense now💃🏼

  • @ayesharehman9448
    @ayesharehman9448 2 ปีที่แล้ว

    In reporting your analysis, what is JS, and how did you re-arrange the table?

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      JS: Job Satisfaction
      As for formatting, please refer to video content after 15 Minutes

  • @ProTech_2023
    @ProTech_2023 ปีที่แล้ว

    I have two factors; temperature (15,25), and Feed ( 1-4). What i want to know is, can i run correlation analysis to rest the relationship of either of the factors with dependent variable (weight gain, Length, etc)?

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      Yes you can run correlation analysis to assess the significance and strength of relationship.

  • @rathinabala8166
    @rathinabala8166 ปีที่แล้ว

    Is there any videos to know direct and indirect and determination of coefficient using path analysis

  • @feranipolina6874
    @feranipolina6874 2 ปีที่แล้ว

    Hello! Where did you get the data in your variables (SL, SE, LS, LS)? How did you get it? Thanks.

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      The variables are based on the indicators that measure these variables. For example SL had around 7 indicators. I transformed those 7 into 1 by taking the mean of those variables.

    • @feranipolina6874
      @feranipolina6874 2 ปีที่แล้ว

      @@researchwithfawad Thank you! I am conducting a thesis right now. In my thesis, I need to have the mean and standard deviation. Also, in my survey questionnaire, I used 5-point Likert Scale. How can I get those data or results using SSPS?

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      To get mean, simply transform the variables. Open SPSS -> Go to Transform Menu -> Computer Variable
      In the Target Variable Type in the New variable Name, and in the Numeric Expression, take the mean of the variable. For example i have a variable Leadership measured using 5 indicators, so here is the expression
      mean(L1,L2,L3,L4,L5)
      For Descriptive Statistics, watch
      th-cam.com/video/R8uh6ScUwRs/w-d-xo.html

  • @applepakistan3164
    @applepakistan3164 ปีที่แล้ว

    Brother, can we apply Correlation when variables are responded on 5 point Likert scale . For example, based on gender (dichotomous) of students, their likeness towards teaching staff (1-5 )

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว +1

      Yes you can with on Dichotomous and likert scale. Use Spearman Correlation

  • @rrre4768
    @rrre4768 11 หลายเดือนก่อน

    In the data sheet, all the data of LS, SE, JS etc are averaged or SD of them and put as LS, SE etc.

    • @researchwithfawad
      @researchwithfawad  11 หลายเดือนก่อน

      The variable are averaged.

    • @rrre4768
      @rrre4768 11 หลายเดือนก่อน

      @@researchwithfawad thank you

  • @Exiled78
    @Exiled78 5 หลายเดือนก่อน

    For Likert scale statements that are categorized as (Numeric-Ordinal), which correlation approach should I go with? Pearsons or Spearman?

    • @researchwithfawad
      @researchwithfawad  5 หลายเดือนก่อน +1

      Thanks for watching. Please use Spearman Correlation

    • @Exiled78
      @Exiled78 5 หลายเดือนก่อน +1

      @@researchwithfawad Thank you sir. Me and my friends always get instant help from you!

    • @researchwithfawad
      @researchwithfawad  5 หลายเดือนก่อน

      Pleasure. Do share in your circle.

  • @genuiskids3362
    @genuiskids3362 ปีที่แล้ว

    Al Salam Alikum: is convergent validity is done through Pearson correlation? what is the acceptable level and how we use the Pearson critical values?

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      WAS. Please calculate AVE tp assess convergent validity.

  • @akashjyotipathak179
    @akashjyotipathak179 2 ปีที่แล้ว

    Is it necessary for my data to pass the test of normality before analysing the correlation between two variables? If my data is not normally distributed can I use Pearson correlation? Can I run Pearson correlation test between a categorical variable and a continuous variable?

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      Test for skewness and kurtosis. If skewness is in limit, use pearson. Otherwise go for spearman correlation

    • @akashjyotipathak179
      @akashjyotipathak179 2 ปีที่แล้ว +1

      @@researchwithfawad Thank you Sir

  • @valley-of-paradise1
    @valley-of-paradise1 2 ปีที่แล้ว +1

    can we find corelation analysis with categorical variables?

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      Yes, if the categorical variable is ordinal use Spearman Rank Correlation, if it has two categories and the other variable is continuous, you can use Pearson

  • @kulsumanazir9670
    @kulsumanazir9670 2 ปีที่แล้ว

    Sir one question.. Sir Pearson tb use hota hai when we have two interval Or continue data.. Sir phr one dictomou kasy thn aa sikhta hai

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      You can use bivariate correlation with Continuous data with a dichotomous variable with 0/1.

  • @deepaksingh-ut7lh
    @deepaksingh-ut7lh 2 หลายเดือนก่อน +1

    • @researchwithfawad
      @researchwithfawad  2 หลายเดือนก่อน

      Thanks. I am glad you liked the video.

  • @user-fm2xq6to7l
    @user-fm2xq6to7l 4 หลายเดือนก่อน

    Sir i am writing my thesis while using the Process model 7 in SPSS. Im only using Spss. I have performed Pearson Correlation in the "Reliability and Validity analysis" section. is there any other test that i need to perform in this section? I only have 1IV, 1DV, 1MED, 1MOD (my model looks exactly like a basic Hayes model 7). Please help.

    • @researchwithfawad
      @researchwithfawad  4 หลายเดือนก่อน

      Correlation is not for reliability and validity. You should use Alpha for reliability and perform EFA to calculate Convergent and Discriminant Validity.

    • @user-fm2xq6to7l
      @user-fm2xq6to7l 4 หลายเดือนก่อน

      @@researchwithfawad thank you sir. can Average Variance Extracted (AVE) be sufficient for testing Validity?

  • @hasnaahassout5295
    @hasnaahassout5295 ปีที่แล้ว

    Thank you so much sir, i have 5 variables. But i only found one significant correlation between 2 variables. And others no. Is it ok or is what I m doing wrong. And thank you so much

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      Pleasure. I am glad you liked it. If most of the relationships and insignificant, you need a thorough justification for it. Otherwise, it may seem that the model was not developed after critical thinking.

    • @hasnaahassout5295
      @hasnaahassout5295 ปีที่แล้ว

      @@researchwithfawad thank you for you reponse sir. But I didn't understand what you mean by the last point you said (it may seem that the model was not developed after critical thinking). Thank you again

    • @researchwithfawad
      @researchwithfawad  ปีที่แล้ว

      This means you did not review the literature in detail.

  • @shayistamajeed9889
    @shayistamajeed9889 2 ปีที่แล้ว

    Asalamualikum Sir,
    In case our data is on interval and ratio scale, but it is not normally distributed, then can we use spearman rank correlation?

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      Yes, you can use Spearman Correlation.

    • @shayistamajeed9889
      @shayistamajeed9889 2 ปีที่แล้ว

      @@researchwithfawad
      To get more clarity, can we figure out the correlation between say perception of usefulness and behavioral intentions using spearman rank method, if the data is not normal?

    • @researchwithfawad
      @researchwithfawad  2 ปีที่แล้ว

      Yes you can.