
Introduction In any research journey—whether it’s in social sciences, healthcare, engineering, education, or business—the cornerstone of reliable findings lies in one crucial element: data. The way data is collected not only determines the validity and reliability of your results but…
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Conceptual Framework Construct Contingency Table Cross-Sectional Design Data Collection Descriptive Design Descriptive Statistical Analysis Distribution-Free Test EFA Exploratory Design Exploratory Factor Analysis Factor Analysis Independent Sample 't' Test Latent Variable Literature Review Longitudinal Design MANOVA Mean Analysis Measures of Central Tendency Mixed Multi-Variate Analysis Multi-Variate Analysis of Variance Multicollinearity Test Multiple ANOVA Non-Parametric Test One Sample t-Test Population Primary Data Qualitative Quantitative Questionnaire Research Approach Research Design Research Gap Research Objectives Review of Literature Sample Sampling Sampling Principles Secondary Data Simple Sample 't' Test Small Sample Test Survey T Test Variation