Luminary Learner

This tutorial covers the following issues:  How to import or input data in STATA, How to save data in STATA, How to create “Log File” in STATA, How to “declare” the panel data in STATA, How to see the “types of data” structure in STATA, How to get the “Descriptive Statistics” in STATA, How to get the “Correlation Matrix” of the variables in STATA, Quantitative Research, Quantitative Analysis, Pairwise Correlation, Mean Median Standard Deviation Minimum Maximum,

In Normality Test, the hypothesises are: H0: The data is normally distributed. H1: The data is not normally distributed. If low p-value (less than 0.05 ): Rejecting the null hypothesis = Data significantly deviates from a normal distribution = Data does not follow a normal distribution. If high p-value (greater than 0.05): Do not reject the null hypothesis = Data to be normally distributed . Comment: If the data is not normally distributed, parameters, such as means, variances, and regression coefficients, may be biased or inaccurate , affecting the validity of the conclusions. From this tutorial, you will learn how to test the normality of data . It also explains how to transform non-normal data into normal data if the normality test indicates that the data is not normally distributed.

Ontology ( Belief ) Epistemology ( How knowledge is acquired ) Research Paradigm Research Approach (How theories are developed and tested) Methodology (Process of data collection and analysis) Realism ( Objective Reality) →→→→→→→   Positivism (Knowledge is gained through measurement and observation) →→→→ Positivist →→→→ Deductive (Testing Hypothesis) →→→→ Quantitative (Surveys, Experiments) Relativism ( Subjective Reality) →→→→→→→ Constructivism (Knowledge is constructed through experiences ) →→→ Interpretivist/ Constructivist →→→→ Inductive (Building Theory) →→→→→ Qualitative (Interviews, Case Studies) Combination of both Objective and Subjective→→→→→→ Knowledge is Practical→→→→→→ Pragmatism →→ Abductive (Flexible, Iterative) →→→→ Mixed-Method...

Selecting Appropriate Test in Quantitative Analysis A. Tests for Comparing Means (Differences) Independent Samples T-Test •          Purpose: Compares the means of two independent groups . •          Data: Continuous outcome, 2 groups.   (If normality assumption met). Paired T-Test •          Purpose: Compares the means of two related groups ( before and after ). •          Data: Continuous outcome, same group measured twice.   (If data Is normally distributed). ANOVA (Analysis of Variance) •          Purpose: Compares means across three or more groups. •          Data: Continuous outcome, multiple groups. ( Normal data) •          One-Way ANOVA: Compares one independen...

1. Theoretical Gap : A gap in existing theories or models that fail to explain certain phenomena .   o     Example : A theory about consumer behaviour may not account for cultural differences in decision-making.   2. Empirical Gap : A lack of experimental or observational data to support or refute a hypothesis.   o     Example : Limited studies on the long-term effects of a new drug on a specific population.     3. Methodological Gap : A gap in the methods or techniques used to study a problem, leading to incomplete or biased results. o     Example : Over-reliance on qualitative methods when quantitative data could provide more robust insights.   4. Contextual Gap :   A gap arising when research findings from one context are not tested or validated in another context .   o     Example : Studies on educational strategies in developed countries may not ap...

The Theoretical Framework and Conceptual Framework are closely related but distinctly different. They serve different functions.   Theoretical Framework Conceptual Framework Definition The Theoretical Framework consists of a set of existing concepts, definitions, and propositions that form a structured perspective on a specific research area. The Conceptual Framework is a visual representation of the expected relationships and connections between various constructs or variables in your research study. Basis It is a collection of existing theories, models, and frameworks relevant to the study. It is based on the Theoretical Framework and illustrates the causal relationships between variables in your own thesis or dissertation. Where In the Literature Review , the Theoretical Framework should be presented first .   Then, the Conceptual...