Dr. Mahmoud Omar (Statistics)
Dr. Mahmoud Omar (Statistics)
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Principal Component Analysis Exploratory Factor Analysis Confirmatory Factor Analysis
nalyze, questionnaire, data, Survey, points, Likert, scale, Continuous scale, Nominal, Instrument, Demographic data, Sex, Occupation, Education, experiences, Family members, Items, Questions, Response, Ordinal, dichotomous, Outcome, Single item, Multiple items, Dependent variable, Independent variable (IV), Exploratory, Predictor, DV, Survey analysis methods, Data Preparation, Data cleaning, Remove, Duplicate, Incomplete, Errors responses, numerical values, categorical data, Multinominal, Code, Reverse coding, constructs, composite, Averages, Sums, Descriptive Analysis, Frequency distribution, Calculate , Summary statistics, Calculate measures, Mean, Median, Mode, SD, Range, IQ1, IQ3, Data Visualization, Graphs, charts, Create, representations, Bar charts, Pie charts, Histograms, Stacked charts, Scatter plots, Line charts, Factor Analysis, identify, latent, constructs, explain, correlations, Principal component analysis, reduction, PCA, Exploratory factor analysis, latent factors, EFA, Confirmatory factor analysis, CFA, Cluster Analysis, Grouping data, Cross-tabulation, relationships, categorical variables, Chi-squared test, Correlation analysis, Pearson’s correlation coefficients, Spearman’s correlation coefficients, Regression analysis, Linear regression, Binomial regression, Multinomial regression, Ordinal regression, Comparative Analysis, Ethnicity, Parametric tests, T-tests, ANOVA tests, Mann Whitney U test, Kruskal Walis test, Jonckheere's trend test, Statistical Significance, Confidence intervals, 95% CI, Hypothesis testing, P-value, Reliability tests, Cronbach’s alpha, Validity, Data reduction statistical technique, sections, highly related, Multivariate statistical techniques, Unsupervised statistical method, Dimensionality (variables) reduction data method, principal components, variance, multi-collinearity, load, Construct PCA, Assumptions, Linearity, matrix scatterplot, Sampling adequacy, Kaiser-Meyer-Olkin (KMO), Bartlett's test of sphericity, outliers, rotation, Oblique, Orthogonal, Determinants, structures, patterns, maximum variance, linear combinations, Varimax, Promax, mathematical transformation Types of factor extraction, Principal Factor Analysis (PFA), Principal Axis Factoring (PAF), unobserved factors, bivariate correlation matrix, communalities, re-run, eigenvalue, extract, hypothesized measurement model, model's goodness of fit, CMIN/DF, Root mean square error of approximation (RMSEA), Comparative fit index (CFI), GFI, AGFI, Standardised root mean square residual (SRMR), Normed fit index (NFI), non-normed fit index (NNFI), PCFI, confirm, disconfirm, factor structure, theoretical model, factor loadings, latent factors, observed variables, Fit Indices, Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Standardized Root Mean Square Residual (SRMR), modification indices, Residual, parameter estimates, covariance matrix, Structural equation modelling, SEM, LISREL, EQS, AMOS, Mplus, LAVAAN package in R, Python package semopy 2, maximum likelihood statistic
Переглядів: 157

Відео

Exploratory Factor Analysis EFA versus Confirmatory Factor Analysis CFA
Переглядів 140Місяць тому
Analyze, questionnaire, data, Survey, points, Likert, scale, Continuous scale, Nominal, Instrument, Demographic data, Sex, Occupation, Education, experiences, Family members, Items, Questions, Response, Ordinal, dichotomous, Outcome, Single item, Multiple items, Dependent variable, Independent variable (IV), Exploratory, Predictor, DV, Survey analysis methods, Data Preparation, Data cleaning, R...
Meta analysis Hazard Ratio Odds Ratio Risk ratio Standardized Mean Difference in Review Manager
Переглядів 197Місяць тому
Systematic review, Meta-analysis types, Subgroup meta-analysis, Heterogeneity test, Egger’s regression, Sensitivity analysis, Forest plot, Funnel plot, Effect size, PRISMA, Hedges’ g, Cohen’s d , OR, RR, Rate, Correlation, Fixed effects, Random effects mode, (I2), Overall effect size, Single group meta-analysis, Two group meta-analysis, Multiple group meta-analysis, Proportional meta-analysis, ...
Meta analysis for continuous outcome using Standardized Mean Difference SMD in Review Manager RevMan
Переглядів 188Місяць тому
Systematic review, Meta-analysis types, Subgroup meta-analysis, Heterogeneity test, Egger’s regression, Sensitivity analysis, Forest plot, Funnel plot, Effect size, PRISMA, Hedges’ g, Cohen’s d , OR, RR, Rate, Correlation, Fixed effects, Random effects mode, (I2), Overall effect size, Single group meta-analysis, Two group meta-analysis, Multiple group meta-analysis, Proportional meta-analysis, ...
Meta analysis for Binary outcome based on Risk Ratio RR in Review Manager RevMan
Переглядів 942 місяці тому
Subgroup, meta-analysis, binary, outcome, Risk ratio, effect size, estimate, statistical method, summary, pairwise group, results, multiple studies, clinical, research, medial, clinical trials, overall, pooled, intervention, treatment, exposure, control, reference, unexposed, event, probability, data, variability, heterogeneity, inconsistency, categorical, variable, binomial, dichotomous, level...
Meta analysis binary outcome odds ratio in Review Manager RevMan
Переглядів 2022 місяці тому
Subgroup, meta-analysis, binary, outcome, Risk ratio, effect size, estimate, statistical method, summary, pairwise group, results, multiple studies, clinical, research, medial, clinical trials, overall, pooled, intervention, treatment, exposure, control, reference, unexposed, event, probability, data, variability, heterogeneity, inconsistency, categorical, variable, binomial, dichotomous, level...
Assumptions for Factor Analysis FA
Переглядів 1382 місяці тому
Factor analysis, constructs, components, factors, reduction, method, technique, mathematical, items, questions, questionnaire, survey, Likert scale, group, rotation, oblique, orthogonal, varimax, promax, Explore, exploratory, scale, instrument, assessment, loading, measure, descriptive, univariate, correlation matrix, coefficients, determinant, KMO Bartlett’s test, unrotated, scree plot, extrac...
Assumptions for Confirmatory Factor Analysis CFA
Переглядів 2102 місяці тому
Confirmatory Factor analysis, CFA, questionnaire, scale, Likert scale, survey, data, factor analysis, EFA, latent factors, underlying structure, variables, data, complex approach, tests, hypothesis, items, associated, specific factors, relationships, observed variables, underlying latent factors, confirm, disconfirm, factor structure, data fit, hypothesized model, impose, number of factors, val...
Assumptions for Exploratory Factor Analysis EFA
Переглядів 1332 місяці тому
Factor analysis, constructs, components, factors, reduction, method, technique, mathematical, items, questions, questionnaire, survey, Likert scale, group, rotation, oblique, orthogonal, varimax, promax, Explore, exploratory, scale, instrument, assessment, loading, measure, descriptive, univariate, correlation matrix, coefficients, determinant, KMO Bartlett’s test, unrotated, scree plot, extrac...
Principal Component Analysis PCA Assumptions
Переглядів 2123 місяці тому
Analyze, questionnaire, data, Survey, points, Likert, scale, Continuous scale, Nominal, Instrument, Demographic data, Sex, Occupation, Education, experiences, Family members, Items, Questions, Response, Ordinal, dichotomous, Outcome, Single item, Multiple items, Dependent variable, Independent variable (IV), Exploratory, Predictor, DV, Survey analysis methods, Data Preparation, Data cleaning, R...
Statistical methods for Analysis of Survey data Likert scale
Переглядів 4753 місяці тому
Analyze, questionnaire, data, Survey, points, Likert, scale, Continuous scale, Nominal, Instrument, Demographic data, Sex, Occupation, Education, experiences, Family members, Items, Questions, Response, Ordinal, dichotomous, Outcome, Single item, Multiple items, Dependent variable, Independent variable (IV), Exploratory, Predictor, DV, Survey analysis methods, Data Preparation, Data cleaning, R...
Principal Component Analysis Exploratory Factor Analysis Confirmatory Factor Analysis
Переглядів 1823 місяці тому
Analyze, questionnaire, data, Survey, points, Likert, scale, Continuous scale, Nominal, Instrument, Demographic data, Sex, Occupation, Education, experiences, Family members, Items, Questions, Response, Ordinal, dichotomous, Outcome, Single item, Multiple items, Dependent variable, Independent variable (IV), Exploratory, Predictor, DV, Survey analysis methods, Data Preparation, Data cleaning, R...
Confirmatory Factor analysis CFA questionnaire data
Переглядів 4193 місяці тому
Confirmatory Factor analysis, CFA, questionnaire, scale, Likert scale, survey, data, factor analysis, EFA, latent factors, underlying structure, variables, data, complex approach, tests, hypothesis, items, associated, specific factors, relationships, observed variables, underlying latent factors, confirm, disconfirm, factor structure, data fit, hypothesized model, impose, number of factors, val...
Change column size when typing in Excel
Переглядів 1384 місяці тому
cell, size, column, sheet, autofit, cell width, automatic, auto-size, adjust, change, resize, double click, drag, column side, view code, worksheet, entire column,
Principal Component Analysis PCA Exploratory Factor Analysis EFA
Переглядів 4644 місяці тому
Exploratory Factor analysis (EFA), 5-Point Likert Scale, Questionnaire, Survey, Data, Principal Factor Analysis (PFA) , Principal Axis Factoring (PAF), PCA is the first phase of EFA, Multivariate statistical method, scale, Statistical, method, variables, latent constructs, measured variables, unobserved, factors, relationships, assumptions, common variance, correlation, confirmatory factor anal...
Exploratory Factor Analysis EFA
Переглядів 1624 місяці тому
Exploratory Factor Analysis EFA
Selecting Cases Values from variables in SPSS
Переглядів 6094 місяці тому
Selecting Cases Values from variables in SPSS
Selecting Variables from Dataset in SPSS
Переглядів 1875 місяців тому
Selecting Variables from Dataset in SPSS
Multivariate Analysis
Переглядів 3235 місяців тому
Multivariate Analysis
Meta Analysis using Hazard ratio in Review manager RevMan
Переглядів 9465 місяців тому
Meta Analysis using Hazard ratio in Review manager RevMan
Principal Component Analysis and Factor Analysis
Переглядів 2295 місяців тому
Principal Component Analysis and Factor Analysis
Factor analysis FA versus principle component analysis PCA
Переглядів 2095 місяців тому
Factor analysis FA versus principle component analysis PCA
Principal Components Analysis for questionnaire data
Переглядів 3726 місяців тому
Principal Components Analysis for questionnaire data
Transforming 5 Points Likert scale to Nominal scale in SPSS
Переглядів 6346 місяців тому
Transforming 5 Points Likert scale to Nominal scale in SPSS
Construct reliability in SPSS
Переглядів 3776 місяців тому
Construct reliability in SPSS
Data codebook in SPSS
Переглядів 4506 місяців тому
Data codebook in SPSS
How to change format of Pivot Table in SPSS
Переглядів 1936 місяців тому
How to change format of Pivot Table in SPSS
Factor Analysis FA for Questionnaire Survey Data
Переглядів 9757 місяців тому
Factor Analysis FA for Questionnaire Survey Data
How to analyze questionnaire survey data
Переглядів 4017 місяців тому
How to analyze questionnaire survey data
How to do Data Cleaning in SPSS
Переглядів 5 тис.7 місяців тому
How to do Data Cleaning in SPSS

КОМЕНТАРІ

  • @neslikaya7675
    @neslikaya7675 4 дні тому

    Can We use the same procedures for polytomous items?

  • @MatteoFrancioni86
    @MatteoFrancioni86 5 днів тому

    Hello. Thank you for this explamation. Is there a way to assign the classic letters (e.g., A, AB, B, C) to differentiate the groups after the post hoc? It would be very useful...

  • @jamaisvi596
    @jamaisvi596 7 днів тому

    thank u so much sir!!

  • @saieshnipillay9406
    @saieshnipillay9406 12 днів тому

    Thank you Dr Omar for this very informative video and explanation. Much appreciated!

  • @jl147132
    @jl147132 13 днів тому

    aren't dummies binary?

  • @Biscuits_2030
    @Biscuits_2030 13 днів тому

    The video is too long, and I suggest breaking it down and make it simpler to avoid this confusion.

  • @Biscuits_2030
    @Biscuits_2030 13 днів тому

    Many thanks Dr. Omar for your straightforward discussion. I really enjoyed your tutorial and benefited a lot despite being professor doing stat for years,

  • @sameerzakariya3238
    @sameerzakariya3238 16 днів тому

    Good morning doctor Mahmoud Please, can you make a video on: How to read, interpret and write the results (output tables) of non-linear regression in SPSS? Thank you Best wishes Doctor Sameer

  • @davimeira97
    @davimeira97 19 днів тому

    Dr. Omar, you're a father figure to me. You made it so easy that even my 6 year old nephew is now running meta-analysis. Thank you so much. You deserve the best

  • @sohini3010
    @sohini3010 21 день тому

    Dear sir, For determining the effect size, can the correlation coefficient be from a previous interim analysis which is done for the same variables? Is the squared multiple correlation (rho squared) the same rho which is obtained by the correlation analysis? Thank you.

  • @afzalraza6325
    @afzalraza6325 24 дні тому

    Thank you so much sir

  • @epidemiologyandbiostatisti7934
    @epidemiologyandbiostatisti7934 26 днів тому

    Good lesion, but could you add test of overall/pooled/common effect size to determine if the common effect size if stat sign or not.

  • @gedeardi9618
    @gedeardi9618 28 днів тому

    Thanks, please continue uploading. We are watching and appreciating your efforts 🫡 (from Indonesia)

  • @mayamikobenson
    @mayamikobenson 28 днів тому

    Does it also works for two way ANOVA?

  • @muhammadwaqas2779
    @muhammadwaqas2779 29 днів тому

    Hello Sir, can you please make a video on 2 way ANOVA on parametric data having multivariate like 3×4 independent variable and 6 dependant variables like, body weight heighg, length, kideny weight, liver weight..

  • @arzookhezri768
    @arzookhezri768 29 днів тому

    Very useful and beneficial presentation. If a question has many choices which have to be ranked inorder of preference, in the variable view what do we assign for the type and measure of that question?

  • @ahshanulstatistician6644
    @ahshanulstatistician6644 Місяць тому

    Thank you so much

  • @brighttooth3592
    @brighttooth3592 Місяць тому

    Thank You

  • @hosamawaji6554
    @hosamawaji6554 Місяць тому

    Hello Dr. M. Omar. I need to contact with you . Can you send your Email or Whatsapp? and Thank you.

  • @Darya144415
    @Darya144415 Місяць тому

    Thanks, please continue uploading. We are watching and appreciating your efforts 🫡🙏

  • @mohammadal-kaabi4853
    @mohammadal-kaabi4853 Місяць тому

    شرح ممتاز ووافي بارك الله فيك

  • @katyng29
    @katyng29 Місяць тому

    Dr. Mahmoud, I followed your video. I have 2 independent variables (include the concentration and pretreatment) and 1 dependent variable (scores) However, when using the non parametric test in the SPSS software, I cannot select the concentration and pretreatment into the grouping variables, I can only choose the scores into the testing variable. I have tried many times but still does not work, What can I do for this situation? Tank you very much!!!

  • @carokimeu4406
    @carokimeu4406 Місяць тому

    Poor teaching methodologies

    • @StatisticsTutor
      @StatisticsTutor Місяць тому

      Hi This is not a complete 1 hr lecture.

    • @StatisticsTutor
      @StatisticsTutor Місяць тому

      It is a short and concise teaching clip

    • @StatisticsTutor
      @StatisticsTutor Місяць тому

      It is free video to those who are beginner.

    • @StatisticsTutor
      @StatisticsTutor Місяць тому

      Why donot you make a video and impress us all of your great teaching style? We might learn from you!!!

  • @user-jy3no6ps8v
    @user-jy3no6ps8v Місяць тому

    Excellent SPSS presentation and very useful data-cleaning process.

  • @chandanamudigiri30
    @chandanamudigiri30 Місяць тому

    Your videos are very helpful sir...i have one doubt sir....how to incorporate 3x2x2 factorial RBD and 5 checks(controls) in one tabel sir...can it possible sir...please reply sir

  • @captainrainbows1891
    @captainrainbows1891 Місяць тому

    Thank you for this video Doctor. I would like to ask how to add extra decimal place (e.g to make it 3 dp) for the values of the ES and CI?

  • @misifu1994
    @misifu1994 Місяць тому

    Hello teacher, thank you for the information. However, according to the example data entry will favor the experimental group ins't? But why in the forest plot it favors the control group? I have the same problem with my research. Thanks!

  • @lilydarcy8394
    @lilydarcy8394 Місяць тому

    👍

  • @Ayi7ge
    @Ayi7ge Місяць тому

    My skewness variabel Y is negative but can be normal with LOG10(x) is it allowed? Or must be outlier?

  • @supriyachaudhary5112
    @supriyachaudhary5112 Місяць тому

    Sir could you please explain how to do absolute principle component score - multiple linear regression (APCS MLR) modelling in SPSS.

  • @misifu1994
    @misifu1994 Місяць тому

    Thanks so much for the video, but I have a question and is how do we perform the Egger's test?

  • @adwoamayyy388
    @adwoamayyy388 Місяць тому

    The relationship between X and Y is assumed to be linear so the Xi^2 is not linear ma'am

  • @tweety8
    @tweety8 Місяць тому

    Thank you for explaining the result. I need to know..if I have multiple predictor should i include them all at time, like we do for binary logistic model fitting.. Or it's just one predictor at a time? How to model fit here with multiple predictor

  • @mk67890
    @mk67890 Місяць тому

    Thank you so much. I have a question. As per the formula for I2 that you mentioned at the beginning of the video, if we insert the values of Q and df from the example at the end of the video, the I2 comes out as 18% or 0.18. However, in the example, it says I2=0.23. Can you pls explain?

  • @oantrangnguyen6488
    @oantrangnguyen6488 Місяць тому

    Really useful, thank you Dr

  • @asiancamper
    @asiancamper Місяць тому

    exactly what i need thanks..

  • @benysmart1643
    @benysmart1643 Місяць тому

    Highly recommend and more didacticial. Thanks Dear Professor

  • @user-hn4lr4nx9r
    @user-hn4lr4nx9r Місяць тому

    Good Teacher Dr. M. Omar

  • @anisalshargabi1244
    @anisalshargabi1244 Місяць тому

    Thank you Prof. suppose we have 3 main variables (independent variable), (dependent Variable) and (Mediating variable). each variable is measured by some already established and validated scale. and each scale has about 4 Dimensions with about 3 statements for each dimension. and all items were scored on a 7-point Likert scale 1=Strongly Disagree to 7=Strongly Agree. How would be the correct analysis process for each dimension and each scale? and how would be the correlation analysis between the 3 variables? and for the total scores of dimensions/scales, should we use averages (means) or sums and why?. thank you very much in advanced for your kind clarification.

  • @infinitewingwang8111
    @infinitewingwang8111 2 місяці тому

    Very helpful for beginners. Thank you

  • @SoroorGandomi
    @SoroorGandomi 2 місяці тому

    Why is the “SE of mean diff” the same for all the groups? Should we report that?

  • @Maheshdc-fj4nq
    @Maheshdc-fj4nq 2 місяці тому

    it says object name not found for three way anova. please give me solution

  • @deepika_chowdary
    @deepika_chowdary 2 місяці тому

    Love you sir .. extremely grateful

  • @talita.coelho
    @talita.coelho 2 місяці тому

    Could I use RevMan to generate a single groups forest plot? I have been trying it but couldn't do it. Thanks from Brazil!!

    • @misbah4887
      @misbah4887 Місяць тому

      i have the same question! were you able to find a way to do that? i saw that it is possible on Stata but that's not a free software

  • @delwinignatious1096
    @delwinignatious1096 2 місяці тому

    Thank you so much for the information

  • @juliocerono_stone5365
    @juliocerono_stone5365 2 місяці тому

    you can not make a 43 minutes video !! contents are ok but ....

  • @ritziroy148
    @ritziroy148 2 місяці тому

    Very informative tutorial!

  • @Ciara-05
    @Ciara-05 2 місяці тому

    Sir, Can you tell me how to known that we should replace missing value with "Mean" or "Medianor Mode" in Excel?

  • @badruoluwaseun1373
    @badruoluwaseun1373 2 місяці тому

    This is the best I have seen on binary meta-analysis. Thank you so much!

  • @lenteracahaya8280
    @lenteracahaya8280 2 місяці тому

    its supposed to be informed the minimum people is 371 hundred, i measured and wrong bcs i dunno how minimum the sample is:((