

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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Chi-Square Test of Goodness of Fit Conceptual Framework Cross-Sectional Design Data Analysis Data Collection Data Presentation Descriptive Design Descriptive Statistical Analysis Distribution-Free Test Expected frequency Experimental Design Exploratory Design Goodness of Fit Likert Scales Literature Review Longitudinal Design MANOVA Mixed Multi-Variate Analysis Multi-Variate Analysis of Variance Multiple ANOVA One Sample t-Test Population Primary Data Qualitative Quantitative Questionnaire Research Approach Research Design Research Gap Research Objectives Review of Literature Sample Sampling Sampling Frame Sampling Principles Secondary Data Semantic Differential Likert Scale Simple Sample 't' Test Survey Theoretical Framework Type-I Error Type-II Error Validity Validity of Research Instrument