SPSS Tutorial: Independent t test

Поделиться
HTML-код
  • Опубликовано: 21 авг 2024

Комментарии • 28

  • @mallorystruggs4147
    @mallorystruggs4147 4 года назад

    The information was simple. Great job explaining t test! Thanks.

  • @michellea5432
    @michellea5432 8 лет назад +3

    Where did the t(434) come from? Thank you for the great video! Also, I am confused about calculating the effect size...if you square the t and then divide it by the squared t, that would be 1..then adding in the two n groups and subtracting it by 2 would still make for a large number. Thank you! This is great!

  • @glhkks9295
    @glhkks9295 10 лет назад +2

    you didn't mention how you found observed power was .37.

  • @samc1746
    @samc1746 6 лет назад

    Great vid, plus example was useful.

  • @salmihassane5494
    @salmihassane5494 4 года назад

    Thank you for the video, it is very helpful, but can you have any idea of applying T-test to a five Likert analysis?

  • @Coachmhawkins
    @Coachmhawkins 8 лет назад +1

    Hi, I'm currently writing my bachelor thesis in sports and health science and I'm getting rather close to finishing.
    Basically, I've been comparing two groups and testing their speed acceleration and change of direction ability.
    I've done baseline tests and post-tests, and now i want to compare the two groups to find which training method had the greatest effect.
    Can you please help me!?
    Regards
    Marcus

    • @TheDoctoralJourney
      @TheDoctoralJourney  8 лет назад

      +Marcus Hawkins In requesting assistance, are you asking what analysis you should use for your research? If you are simply comparing two groups, you may consider a t-test; however, I recommend you read the article entitled, "The Good, the Bad, and The Ugly of the t test" to determine if a t-test is a better choice than an alternative such as an ANOVA. If you have pre-tests you are using as control variables, you may consider looking into an ANCOVA. Of, course there are also other factors to consider such as assumption testing. If you are looking for consulting, check out: thedoctoraljourney.com/statistical-consulting/

  • @Junie0911
    @Junie0911 3 года назад

    thank you for this great video. Would you mind help me with this question regarding the Independent samples t-test which has driven me nuts recently?
    Let's say I want to compare the income (IC) between male and female; and the component "income" consists of various types of income (IC1, IC2, IC3). Is it possible to compare IC with cumulated means of IC1, IC2 and IC3 (using independent t-test)? The video only mentions how to compare means of each items.
    Thank you very much.

  • @LuminousSpace
    @LuminousSpace 7 лет назад

    this help so much, thank you.

  • @jacobday1022
    @jacobday1022 10 лет назад +2

    Where can I download the SPSS data file you are using in this video? Thanks

  • @ianneglazer998
    @ianneglazer998 8 лет назад

    thank you

  • @debrahisaiah7025
    @debrahisaiah7025 8 лет назад +1

    Nice tutorials

    • @TheDoctoralJourney
      @TheDoctoralJourney  8 лет назад

      +Debrah Isaiah Thank you for the positive feedback.

    • @debrahisaiah7025
      @debrahisaiah7025 8 лет назад

      Nice video but all effort to download proved futile. Could you please help me

    • @TheDoctoralJourney
      @TheDoctoralJourney  8 лет назад

      +Debrah Isaiah The RUclips videos are available for streaming; however, they are not intended for download purposes.

    • @alloyachikebum1129
      @alloyachikebum1129 8 лет назад

      +The Doctoral Journey hi , i just wanna ask u my problem about my research . my title is comparison of dynamic and pnf stretching on speed and agility among football players . i use 25 participant to do dynamic stretching for 1 day n after the stretch they do speed and agility test , after 3 days , the same person do the pnf stretch n after that they do speed and agility test . so what analysis should i choose in the spss , pls help

  • @abdellaahmed7049
    @abdellaahmed7049 9 лет назад +1

    thank you very much for the video ! would you add some economic variables for this analysis? thank you!

  • @linduchyable
    @linduchyable 8 лет назад

    HELLO, please i need help! when i enter or paste negative values to spss the values disappears while the positive ones don't. how can i fix this problem? please help

  • @raheemreese226
    @raheemreese226 8 лет назад

    @ the Results section, on lines 9 and 10, how is "p" (p=11) determined AND how is the observed power determined?

  • @ROXXXOCOM-er2pr
    @ROXXXOCOM-er2pr 6 лет назад

    Good stuff

  • @olympianikoleta7234
    @olympianikoleta7234 9 лет назад

    thanks a lot! but what kind of test would somebody use if he had to compare two groups of 9 and 36?is it proper to use tis test?

  • @nininha219
    @nininha219 9 лет назад

    Hi! Thank you for the video. In the result section you say that the t score is 1.62 with p=11. Why is p value 11? Should it be 5? Thanks

    • @dr.r6689
      @dr.r6689 9 лет назад

      nininha219 In the column equal variance assumed row and Sig column, you will see that p = .105. Rounded to two decimal places this is .11.

  • @alloyachikebum1129
    @alloyachikebum1129 8 лет назад

    hi , i just wanna ask u my problem about my research . my title is comparison of dynamic and pnf stretching on speed and agility among football players . i use 25 participant to do dynamic stretching for 1 day n after the stretch they do speed and agility test , after 3 days , the same person do the pnf stretch n after that they do speed and agility test . so what analysis should i choose in the spss , pls help

  • @xavierjohnverdun3567
    @xavierjohnverdun3567 2 года назад

    How to directly input data in SPSS?

  • @mingyanwoo8159
    @mingyanwoo8159 5 лет назад

    where show the 0.06 of the effect size? i can't understand

    • @razafindratsimbaanjarasoa6023
      @razafindratsimbaanjarasoa6023 5 лет назад

      you need to follow the formula she gave : t²/(t²+N1+N2-2), you replace by the values from the table and you get: 1.62²/(1.62²+184+252-2)=0.06