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- 1 114 086
Dr. Mahmoud Omar (Statistics)
United Kingdom
เข้าร่วมเมื่อ 5 ต.ค. 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
มุมมอง: 299
วีดีโอ
Exploratory Factor Analysis EFA versus Confirmatory Factor Analysis CFA
มุมมอง 2153 หลายเดือนก่อน
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
มุมมอง 2743 หลายเดือนก่อน
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
มุมมอง 3983 หลายเดือนก่อน
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
มุมมอง 1343 หลายเดือนก่อน
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
มุมมอง 2884 หลายเดือนก่อน
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
มุมมอง 1624 หลายเดือนก่อน
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
มุมมอง 2784 หลายเดือนก่อน
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
มุมมอง 1664 หลายเดือนก่อน
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
มุมมอง 2674 หลายเดือนก่อน
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
มุมมอง 5755 หลายเดือนก่อน
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
มุมมอง 2075 หลายเดือนก่อน
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
มุมมอง 5795 หลายเดือนก่อน
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
มุมมอง 1785 หลายเดือนก่อน
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
มุมมอง 5816 หลายเดือนก่อน
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
มุมมอง 9006 หลายเดือนก่อน
Selecting Cases Values from variables in SPSS
Selecting Variables from Dataset in SPSS
มุมมอง 2356 หลายเดือนก่อน
Selecting Variables from Dataset in SPSS
Meta Analysis using Hazard ratio in Review manager RevMan
มุมมอง 1.3K7 หลายเดือนก่อน
Meta Analysis using Hazard ratio in Review manager RevMan
Principal Component Analysis and Factor Analysis
มุมมอง 2407 หลายเดือนก่อน
Principal Component Analysis and Factor Analysis
Factor analysis FA versus principle component analysis PCA
มุมมอง 2497 หลายเดือนก่อน
Factor analysis FA versus principle component analysis PCA
Principal Components Analysis for questionnaire data
มุมมอง 4337 หลายเดือนก่อน
Principal Components Analysis for questionnaire data
Transforming 5 Points Likert scale to Nominal scale in SPSS
มุมมอง 7228 หลายเดือนก่อน
Transforming 5 Points Likert scale to Nominal scale in SPSS
How to change format of Pivot Table in SPSS
มุมมอง 2288 หลายเดือนก่อน
How to change format of Pivot Table in SPSS
Factor Analysis FA for Questionnaire Survey Data
มุมมอง 1.1K8 หลายเดือนก่อน
Factor Analysis FA for Questionnaire Survey Data
How to analyze questionnaire survey data
มุมมอง 4389 หลายเดือนก่อน
How to analyze questionnaire survey data
this is so helpful, thank you very much
How can you treat Likert response item as number, it is a symbolic, right?
@@dejal.3606 for scale 1 to 5 I peraonaly consider data ordinal
Perfect video and explanation - thank you so much Dr. Omar !
If you need private one to one tutoring session contact me to book a session and give you the cost per session
I am currently working on videos for assumptions for stat tests in the next 6 months to year will be many clips for assumptions for stat test one of them regression
Hi Check your data if it is suitable to do linear regression check your outcome or dependent variable if it is linear check assumptions
I have used three models for carbon estimation and i want to select best model among these three using multiple logistic regression for carbon storage in urban forest. I have dbh, height as independent variable and carbon data as dependent variable for each 136 tree species. Can i use this regression? Pls inform me. Thank you.
email me at mmomar982 @gmail.com
Do you provide statistical analysis services for PhD students?
@@HamoodAlRashdi-k5m yes
@@StatisticsTutor how to connect with you?
@@HamoodAlRashdi-k5m mmomar982@gmail.com
Email me your mobile no.
@@StatisticsTutor your email ID plz
Thank you 🙏🏼🙏🏼
Thank you Dr Omar! This was very helpful indeed.
This is helpful. Thank you.
Where can I get the log HR and SE data?
You are the best
T Score in Excel Sir Explne the Formula in Excel
How do you report this? What can be stated as the name of the post hoc test used?
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...
yes! i also need this for the discussion part of my paper
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.