Writing Research Paper 6

Analysis

Process of examining, organizing and interpreting data to answer the research question or test the hypothesis.

Quantitative Analysis

Used for numerical data to test hypotheses or measure variables. Types: Descriptive and Inferential analysis.

Descriptive Statistics

Describe data. Mean, median, mode.

Inferential Statistics

More critical; To analyze correlation.

Qualitative Analysis

Non-numerical data such as interview transcripts, open-ended survey responses, or observation notes. Types: Thematic, Content, Interpersonal Phenomenological Analysis, Grounded Theory.

Thematic Analysis

Identifying recurring themes or patterns in text.

Content Analysis

Counting the presence of certain words, phrases, or concepts.

Interpretative Phenomenological Analysis (IPA)

Exploring how participants make sense of their personal experiences.

Grounded Theory

Developing a theory from patterns in the data.

Mix Methods Analysis

Triangulation: Cross-checking results from both quantitative and qualitative types to enhance validity.

Complementarity: Using one set of data to elaborate on or clarify the other. To go deeper.

Research Findings

To present the data you found from your study in a clear, objective, and structured way. Graphs, tables.

Result Discussions

Interpret the results, connect them with past research or theories, explore the implications and discuss their meaning.

Limitations

Potential weaknesses or constraints in research that can affect the factuality, generalizability, or interpretation of the findings.

Recommendations

Practical suggestions made by the researcher based on the study’s findings. Types: Practice-based, Policy-based, Research-based