Why use IBM SPSS Statistics for your Thesis?
IBM SPSS Statistics is the most widely adopted platform in academia for empirical hypothesis testing. Learn normality checks, Pearson/Spearman correlations, Student’s t-tests, ANOVA, and linear regressions with Profe Luisa.
Normality & Homoscedasticity Tests
Learn when to apply Kolmogorov-Smirnov vs Shapiro-Wilk to select parametric or non-parametric tests.
Hypothesis Testing (t-Test, ANOVA, Chi-Square)
Interpret p-values (2-tailed Sig.) and effect sizes with academic rigor to answer your objectives.
Instrument Reliability (Cronbach’s Alpha)
Compute internal consistency across Likert-scale questionnaires prior to main statistical runs.
👉 ¿Qué es Análisis BIVARIADO en tu tesis?
Watch the step-by-step masterclass by Profe Luisa demonstrating how to use this tool in practice.
👉 ¿Qué es Análisis BIVARIADO en tu tesis?
✅ ¿Quieres entender cómo se relacionan dos variables en tu conjunto de datos? El análisis bivariado es la clave. Te explicaremos de forma sencilla qué es, para qué sirve y cómo aplicarlo en tus proyectos. Aprenderás conc...
More Lessons on IBM SPSS Statistics
Browse complementary video lessons covering advanced methodology and data workflows.
Por qué el 40% de los mejores FALLA (Métodos Mixtos)
Pasos del Análisis Factorial #asesoriaprofeluisa #estadistica
Conceptos clave del Análisis Factorial #asesoriaprofeluisa #estadistica
Preguntas Frecuentes sobre Análisis Factorial #asesoriaprofeluisa #estadistica
Definición de Análisis Factorial #asesoriaprofeluisa #estadistica
Estadística: Análisis Factorial #asesoriaprofeluisa #estadistica
Evaluation Criteria & Academic Rigor
Every recommended tool has been tested in empirical research and postgraduate classes by Profe Luisa. We prioritize academic integrity, methodological accuracy, and cost savings for researchers.