Factor Analysis FA for Questionnaire Survey Data

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, 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, SPSSS, STATA, JAMOVI, R Statistics