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Dr. Mahmoud Omar (Statistics)
United Kingdom
Registrace 5. 10. 2020
Step by step description and explanation of how to analyse data in SPSS, Excel, Jamovi, GraphPad Prism, R statistic, Review Manager, G*power, JMP, Python, UNIX and STATA software.
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
zhlédnutí: 233
Video
Exploratory Factor Analysis EFA versus Confirmatory Factor Analysis CFA
zhlédnutí 184Před 2 měsíci
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
zhlédnutí 234Před 2 měsíci
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
zhlédnutí 313Před 2 měsíci
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
zhlédnutí 117Před 3 měsíci
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
zhlédnutí 252Před 3 měsíci
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
zhlédnutí 143Před 3 měsíci
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
zhlédnutí 249Před 3 měsíci
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
zhlédnutí 151Před 4 měsíci
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
zhlédnutí 243Před 4 měsíci
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
zhlédnutí 539Před 4 měsíci
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
zhlédnutí 196Před 4 měsíci
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
zhlédnutí 524Před 4 měsíci
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
zhlédnutí 159Před 5 měsíci
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
zhlédnutí 543Před 5 měsíci
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...
Selecting Cases Values from variables in SPSS
zhlédnutí 717Před 5 měsíci
Selecting Cases Values from variables in SPSS
Selecting Variables from Dataset in SPSS
zhlédnutí 209Před 6 měsíci
Selecting Variables from Dataset in SPSS
Meta Analysis using Hazard ratio in Review manager RevMan
zhlédnutí 1,1KPřed 6 měsíci
Meta Analysis using Hazard ratio in Review manager RevMan
Principal Component Analysis and Factor Analysis
zhlédnutí 234Před 6 měsíci
Principal Component Analysis and Factor Analysis
Factor analysis FA versus principle component analysis PCA
zhlédnutí 239Před 6 měsíci
Factor analysis FA versus principle component analysis PCA
Principal Components Analysis for questionnaire data
zhlédnutí 407Před 7 měsíci
Principal Components Analysis for questionnaire data
Transforming 5 Points Likert scale to Nominal scale in SPSS
zhlédnutí 699Před 7 měsíci
Transforming 5 Points Likert scale to Nominal scale in SPSS
How to change format of Pivot Table in SPSS
zhlédnutí 216Před 7 měsíci
How to change format of Pivot Table in SPSS
Factor Analysis FA for Questionnaire Survey Data
zhlédnutí 1,1KPřed 8 měsíci
Factor Analysis FA for Questionnaire Survey Data
How to analyze questionnaire survey data
zhlédnutí 431Před 8 měsíci
How to analyze questionnaire survey data
Thank you so much Dr. 😊
hello Dr. greetings!! thanks for your nice and well-versed presentation. but i have one question, how to add meta-analysis package in spss?
Ordinal data is categorical/discrete. Does PCA work with discrete data? As far as I know discrete data is allowed only after one-hot-encoding. But you did not mention one-hot-encoding.
I have benefited a lot from your informative presentation, You have such amazing way to simplify the information to be ready in a perfect way.
Thank you so much Dr. This detailed explanation is so helpful for a beginner.
Thank you. Excellent presentation. Logical and clear step by step. Very helpful
Thank you. Excellent presentation. Logical and clearly explained. Very helpful.
Thank you sir
Thank you for such an informative and clear video. I have two questions: firstly, by adding the data of a study when we have two different time points, should we enter the post-test measurement data? I mean, don't we need to enter the baseline measurement data? and secondly, what if one study among all, has three time point measurements? How the comparison can be made in this case?
This was very helpful for my research ❤
This is just awesome, useful and comprehensive tutorial. You deserve the best!
Excellent Sir G.
Very understandable. Thank you Sir 😊
Thank you very much for the tutorial Dr Omar.
1. 2:16 Subgroup analysis can only be performed for dichotomous outcomes 2. 13:38 code for subgroup meta-analysis 3. 18:23 generating Forrest plot, 21:50 Forrest plots with study IDs
How would I calculate the SD values if the studies of my systematic review don't tell me the SD, they only show the Mean values. Thank you very much for the video!
You can calculate the SD using Standard Error of Mean
@@DrawingandFun-qc5vq Thank you very much!! In the end I calculated the SD from the IQR.
Thank you, Dr. Omar, for the detailed explanation. What if we have 2 or 3 different time point measurements. How should we arrange the data in SPSS?
What happened if we have just 2 categories then what will be the reference category??😊
Fantastic video. Very helpful!
Thank you so much sir for detailed explanation!
It is a very useful video.
Thanks so much
Can We use the same procedures for polytomous items?
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...
thank u so much sir!!
Thank you Dr Omar for this very informative video and explanation. Much appreciated!
aren't dummies binary?
The video is too long, and I suggest breaking it down and make it simpler to avoid this confusion.
Many thanks Dr. Omar for your straightforward discussion. I really enjoyed your tutorial and benefited a lot despite being professor doing stat for years,
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
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
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.
Thank you so much sir
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.
Thanks, please continue uploading. We are watching and appreciating your efforts 🫡 (from Indonesia)
Does it also works for two way ANOVA?
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..
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?
Thank you so much
Thank You
Hello Dr. M. Omar. I need to contact with you . Can you send your Email or Whatsapp? and Thank you.
Thanks, please continue uploading. We are watching and appreciating your efforts 🫡🙏
شرح ممتاز ووافي بارك الله فيك
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!!!
Poor teaching methodologies
Hi This is not a complete 1 hr lecture.
It is a short and concise teaching clip
It is free video to those who are beginner.
Why donot you make a video and impress us all of your great teaching style? We might learn from you!!!
Excellent SPSS presentation and very useful data-cleaning process.
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
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?
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!
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