SPSS & SmartPLS Data Analysis Hands-on Training & Certification
Turn survey and experimental data into compelling statistical evidence. NextGen Knowledge Hub (NextGen KH) delivers intensive, hands-on training in IBM SPSS Statistics and SmartPLS 4 — covering data screening, normality, ANOVA, regression, exploratory factor analysis (EFA), measurement model reliability, structural model testing, mediation, and moderation analysis.
What You Will Learn in SPSS & SmartPLS
From basic descriptive summaries to complex second-order structural models.
Data Preparation & Screening in SPSS
Variable coding, missing value imputation, detecting univariate/multivariate outliers (Mahalanobis distance), testing skewness, kurtosis, and multicollinearity (VIF).
Parametric & Non-Parametric Hypothesis Testing
Independent and paired sample t-tests, one-way and two-way ANOVA with post-hoc tests (Tukey/Scheffe), Chi-Square tests of independence, and Mann-Whitney U tests.
Correlation, Multiple Regression & EFA
Pearson/Spearman correlations, hierarchical multiple regression, Exploratory Factor Analysis (EFA with Varimax/Promax rotation), KMO and Bartlett’s test interpretation.
Measurement Model Assessment in SmartPLS 4
Indicator reliability, internal consistency (Cronbach's alpha, Composite Reliability rho_a/rho_c), convergent validity (AVE > 0.5), and discriminant validity (Fornell-Larcker & HTMT criteria).
Structural Model & Bootstrapping
Evaluating coefficient of determination (R²), effect size (f²), predictive relevance (Q²_predict), path coefficients, and running 5,000 to 10,000 bootstrap subsamples for p-values.
Mediation & Moderation Analysis
Testing specific indirect effects (full vs partial mediation), two-stage continuous moderation modeling, slope plots, multigroup analysis (PLS-MGA), and APA reporting standards.
Master Statistical Data Analysis with Confidence
Perform sophisticated quantitative analyses for your PhD thesis and high-impact journal submissions.
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