Soft6Stone
Soft6Stone
  • Видео 75
  • Просмотров 220 498

Видео

Recode and Creating New Variables in SPSS
Просмотров 2402 года назад
EDPR 8547 W11V4
Evaluating survey quality
Просмотров 702 года назад
EDPR 8574 W10V1
Check Item Discriminative Power and Scale Reliability
Просмотров 972 года назад
EDPR 8574 W10V2
Data Collection Modes of Survey Studies: Interviews
Просмотров 342 года назад
EDPR 8547 W9V2
Data Collection Modes of Survey Studies: self-administered instruments
Просмотров 1732 года назад
EDPR 8547 W9V1
Survey Research: Sampling Procedures
Просмотров 392 года назад
EDPR 8547 W6V2
Survey Design: Identifying and Operationalizing Concepts
Просмотров 912 года назад
EDPR 8574 W3V1
A Quick Overview of the Process of Conducting a Survey Study
Просмотров 612 года назад
EDPR 8547 W1V2
Examine Mediation Effects in SEM
Просмотров 2753 года назад
Statistics, SEM, Mplus, Mediation
MultiGroup SEM (Measurement phase)
Просмотров 1,8 тыс.3 года назад
Use Mplus for multi-group SEM analysis
Multi-Group SEM (Structural Phase)
Просмотров 1,7 тыс.3 года назад
Use Mplus for multi-group SEM analysis
MultiGroup CFA
Просмотров 1,8 тыс.3 года назад
Using Mplus to conduct a multi-group confirmatory factor analysis
MultiGroup Path Analysis
Просмотров 3,7 тыс.3 года назад
Mplus, SEM, statistics
Validity, CFA, and They together in MTMM
Просмотров 6863 года назад
SEM, CFA, MTMM
An SEM Exercise with Additional Notes
Просмотров 1583 года назад
An SEM Exercise with Additional Notes
Introduction to Latent Factor SEM
Просмотров 1503 года назад
Introduction to Latent Factor SEM
A CFA Exercise in Mplus
Просмотров 3213 года назад
A CFA Exercise in Mplus
Use Mplus for CFA modeling
Просмотров 2443 года назад
Use Mplus for CFA modeling
Introduction to Confirmatory Factor Analysis
Просмотров 2923 года назад
Introduction to Confirmatory Factor Analysis
Model comparison and modification in SEM
Просмотров 2,3 тыс.3 года назад
Model comparison and modification in SEM
Reporting direct, indirect, and total effects in SEM
Просмотров 4,7 тыс.3 года назад
Reporting direct, indirect, and total effects in SEM
Model fit indices: Using path analysis as an example
Просмотров 1,3 тыс.3 года назад
Model fit indices: Using path analysis as an example
Path analysis in Mplus: Reading the output file for estimated parameter values
Просмотров 1 тыс.3 года назад
Path analysis in Mplus: Reading the output file for estimated parameter values
Introduction to Mplus
Просмотров 2234 года назад
Introduction to Mplus
Prepartation for a SEM Study
Просмотров 1304 года назад
Prepartation for a SEM Study
Decomposition of Correlations
Просмотров 1674 года назад
Decomposition of Correlations
Correlation and Covariance Matrices
Просмотров 3314 года назад
Correlation and Covariance Matrices
SEM notations
Просмотров 1064 года назад
SEM notations
An overview of the mathematical components of SEM
Просмотров 1054 года назад
An overview of the mathematical components of SEM

Комментарии

  • @papapoopas
    @papapoopas Месяц назад

    thank you

  • @Rubi0o0
    @Rubi0o0 2 месяца назад

    This literally helped me out so much because I was struggling to see the exact reasoning behind the Q formula for Tukey. Thank you so much for uploading this!!

  • @learn5081
    @learn5081 2 месяца назад

    item responses are oridinal scale, not interval/ratio scale, but how can you use them for EFA?

  • @anugrewal9790
    @anugrewal9790 3 месяца назад

    Greetings In case of dummy variables are used as control variable if they come out to be significant what does it mean?

  • @muhammadmuneeb-ur-rehman3757
    @muhammadmuneeb-ur-rehman3757 3 месяца назад

    You literally just read the results, didnt explained even a thing. Wasted my 10 minutes.

  • @AmberLemmens
    @AmberLemmens 4 месяца назад

    She uses the critical values table for Mann-Whitney U. U can find it on Google :)

  • @kenhurri5129
    @kenhurri5129 4 месяца назад

    Can I ask Ma’am, if the three samples have the same number as the Baseline is 8, Month 1 is 8, and Month 2 is 8, how should it properly rank?

  • @ibrahimkaarich2192
    @ibrahimkaarich2192 6 месяцев назад

    thank you so much

  • @shuangwu9863
    @shuangwu9863 Год назад

    Hey, thanks a lot for the video! But one question, sometimes I don't have an interaction effect between two factors from the table Tests of Between Subjects Effects. But when I run the tests for simple effects as you showed in this video. The results of the estimated marginal means show that the p-value between some factors is smaller than 0.05 nevertheless. Could you tell me why? Thanks in advance!

  • @accazen5674
    @accazen5674 Год назад

    it gives me this error message "Text: score Command: UNIANOVA An undefined variable name, or a scratch or system variable was specified in a variable list which accepts only standard variables. Check spelling and verify the existence of this variable. Execution of this command stops.". It seems not to recognize score command, any suggestion to fix it?

    • @soft6stone
      @soft6stone Год назад

      Make sure variable names in the syntax are matched with those in the data file.

    • @elisaplatjouw3926
      @elisaplatjouw3926 9 месяцев назад

      I was also struggling with the syntax, when I found out that "score" in the "UNIANOVA score BY gender major" is the name of the dependent variable.

  • @adnanhasan4140
    @adnanhasan4140 Год назад

    very good thank you , please add linkfor table if we want to use the table values

  • @user-oy4bd3mf3u
    @user-oy4bd3mf3u Год назад

    such a great video! thanks so much!!

  • @lwembawojoseph3953
    @lwembawojoseph3953 Год назад

    This was a fantastic superb explanation , thank you so much prof.

  • @kruskal-wallisdunnbonferro9400
    @kruskal-wallisdunnbonferro9400 2 года назад

    What is bias? What represents?

  • @docsnan44
    @docsnan44 2 года назад

    Can you record this same video but use a Bonferroni post host Analysis instead of Tu-key?

  • @adablue1
    @adablue1 2 года назад

    Thank you Professor! I would be grateful if you give an answer to my question! If I reverse the direction of the path in nested model, will be the model non-nested?

  • @sololo3575
    @sololo3575 2 года назад

    Thanks for the video, really useful!

  • @wouterhabets984
    @wouterhabets984 2 года назад

    Hi, is it possible to use a dichotomous variable as a covariate, or does it have to be continuous? I'm working with test scores, and I'm assigning subjects into groups of alcohol use (high/low). If the covariate has to be continuous, can I use the raw total test scores as a continuous covariate?

  • @cameronstrickland5213
    @cameronstrickland5213 2 года назад

    p̴r̴o̴m̴o̴s̴m̴ ?

  • @mrsbuena9937
    @mrsbuena9937 2 года назад

    thank u

  • @14xx07
    @14xx07 2 года назад

    Thank you for sharing your explanation with us. Everything before 2:53 was very clear. I thought the example mentioned is going to make it even more understandable but was sadly not the case here. I am so confused by what the table has to say. What is each of the number tying to say and how is it related with one another? the further I listened into it, the confusion spirals.

  • @thitipornshawong--2873
    @thitipornshawong--2873 2 года назад

    Thank you u just saved my life HNY

  • @user-ji4km4ir5e
    @user-ji4km4ir5e 2 года назад

    Thank you. This is very help to me.

  • @min1048
    @min1048 2 года назад

    THank you!!

  • @meeshkabob9601
    @meeshkabob9601 3 года назад

    Really helpful video, thank you!

  • @_Anonymous_9
    @_Anonymous_9 3 года назад

    Cheers

  • @gannechaitanya6703
    @gannechaitanya6703 3 года назад

    Please explain the fields in which you enter the different variables. What is a covariate? What is a fixed factor? This is the thing that confuses students the most. The understanding of the input is as important as the interpretation of the output. Every video focuses on the output but never explain on what basis they entered the inputs. A lengthy detailed video, but doesn't explain the most needed concepts.

  • @erinparry-bennee4129
    @erinparry-bennee4129 3 года назад

    This just helped me so much with my dissertation, thank youuuu!!

  • @inaminam100
    @inaminam100 3 года назад

    Thank you for such an informative session. A great learning indeed ...

  • @mohammadabudari8106
    @mohammadabudari8106 3 года назад

    Thank you

  • @motasimbadri8131
    @motasimbadri8131 3 года назад

    can you please post your dataset here so as to practice what you taught here,,,thank you so much

  • @solbaik1996
    @solbaik1996 3 года назад

    Hello Dr. Xu, thank you for sharing this video! I learned a lot from this. I have a question on why some of the BY statements under Model LoEd and HiEd have been removed after adding WITH statements suggested from modification indices. Does the suggestions from modification indices assume equality constraints on factors loadings?

  • @pawekrukow769
    @pawekrukow769 3 года назад

    I think that it is rather a mixed-model ANCOVA, because you have a diet as a qualitative variable. Pure repeated-measures ANCOVA implies only quantitative dependent variables and quantitative covariates.

    • @Heblood
      @Heblood 8 месяцев назад

      Qualitative variable? What do you mean? SPSS is to run quantitative tests. Statistical tests are quantitative. All of those variables as long as they are in the program are quantitative. That's not what mixed models do. It's repeated measures ANCOVA as she says.

  • @hanamirhaji8132
    @hanamirhaji8132 3 года назад

    OMG. You are the best. Thankssssss

  • @trishlasurana
    @trishlasurana 3 года назад

    How to write the analysis ?

  • @frankwilson2854
    @frankwilson2854 3 года назад

    I am here to testify how great man called Dr BALI helped me out with herbs and roots which he prepared for me in use of curing my herpes . I takes his product (cure) for (14) days before I am to known I was totally cure out of it, and i promised him that i will testify my healing to the whole world about how he cured me which I am very happy I am doing now , Dr BALI also cure all kinds of diseases , HEPATITIS, A,B,C , CANCER, DIABETICS , FRIBLOD,ALL KINDS OF SPELL CAST ,and so much more , please you can get him contacted on his whatsapp or call on +2348120933032 or email drbalihome@gmail.com He can also cure following virus(1)..Herpes(2).Cancer(3).Hepatitis(4)..Hiv./aids(5).Pcos(6).Fibroid doctor website drbalisolutioncenter.jimdofree.com

  • @jamesmurumeasego2183
    @jamesmurumeasego2183 4 года назад

    We offer custom data analysis reports at www.statsworld.net

  • @supratimguha2946
    @supratimguha2946 4 года назад

    Thank you very much for your video. Kindly provide add the table in the video or comments box. Thanking you in advance.

  • @mouradelhanafii8198
    @mouradelhanafii8198 4 года назад

    Quite interesting! I ran a 4 X 2 X 5 three-way factorial ANOVA to explore any viable variance in EI (Emotional intelligence) across the participants' age, gender, and YTEx (years of teaching experience), and found out that the main effects were not significant, whereas the three-way interaction was. I followed up on this finding using simple effects tests through modifying SPSS syntax as recommended by many researchers, including IBM's website. The Simple effects tests' outcome in SPSS seems to be complex, and I found myself overwhelmed with many tables, not knowing what to report exactly! I would immensely be grateful if you could help me sort this out.

  • @prettydogs2297
    @prettydogs2297 4 года назад

    Hello, thank you very much for the info. But for next time, please, pleeeeasee talk faster. Thanks

  • @eoinkirwan1635
    @eoinkirwan1635 4 года назад

    Would appreciate your advice - If I have a sample of athletes, say basketball players, and I want to assess the change in a physical measure such as jump height over the course of a tournament, say 8 games, but I want to include individuals playing time on the court, what would the most appropriate statistical test be? As it is not a baseline value would an ANCOVA still be appropriate or is there a way to normalise the jump height scores to account for playing time in each game?Thank you

    • @soft6stone
      @soft6stone 4 года назад

      The covariate does not have to be a baseline value, as long as you have a theoretical justification for using it to reduce the amount unexplained variance in the dependent variable.

  • @MarcoSanderCoaching
    @MarcoSanderCoaching 4 года назад

    Beautiful video, thank you

  • @ramonasilver9672
    @ramonasilver9672 4 года назад

    Thank you for this video! This has really cleared things up!

  • @nina5264
    @nina5264 4 года назад

    It was not explained comprehensively..

  • @isaacharen1488
    @isaacharen1488 4 года назад

    thanks for your valuable info

  • @vanessad5269
    @vanessad5269 4 года назад

    Thank you this was very helpful!

  • @haithamelayady1798
    @haithamelayady1798 4 года назад

    Thanks for the nice explanation, but you dropped the most important point, what is the table 3.4?? or where can we find the table?

  • @carlwright6898
    @carlwright6898 4 года назад

    This just saved my ass <3

  • @nassibbb2
    @nassibbb2 5 лет назад

    Dear Professor, would it not be better to use Bonferroni instead of LSD (considering multiple pairwise comparisons)? Thanks so much for your video.