Assignment Nov. 2, 2024

1. What Information does the administrator need for any step of the decision-making Process?

The school administrator makes decisions on both macro and micro levels regarding the school's businesses. 

On the macro level, the administrator makes decisions on the following

• Vision-mission and Policy of the school
• Budget and Finance 
• Making appointments and job descriptions for teachers and staff
• Development for teachers and staff
• etc. 

On the micro level, the administrator might involve with the micro level, for examples.

• Being chairman or establishing a committee of important matters, for example, during crisis and emergency arising issues

"What kind of information does the administrator need for decision-making?", because of the roles above-mentioned the administrator needs accurate data or facts to help him for better discernment and consideration. Doing the "research" is a key to this achievement. However, the research has to be done on scientific method and specific framework unless he cannot acquire sufficient and accurate data.  

2. What are the types of research that support the decision-making process?

To make the best decision, the administrator must acquire sufficient information through his research. He must develop characteristics as a researcher, both as a research consumer and a hypothesis tester.

Being a "researcher consumer" means developing a regular habit of updating oneself in the academic field by studying and reading new ideas and concepts from research.

Being a "hypothesis tester" means experimenting and implementing new ideas and concepts within his respective school. This approach can make the school progress.  

Therefore information the administrator needs are

• Scientific studies for new and updated research 
• Case studies by researchers in the academic field. 

Note: 

Quantitative and Qualitative Research Methods
are two distinct approaches used in research, each with its own characteristics, strengths, and applications. 

Quantitative Research

1. Nature: This field focuses on quantifying data and phenomena. It seeks to establish patterns, test theories, and predict outcomes.

2. Data Type: This type uses numerical data, which can be statistically analyzed. Common methods include surveys with closed-ended questions, experiments, and secondary data analysis.

3. Analysis: Employs statistical methods to analyze data, allowing for the measurement of relationships and differences among variables.

4. Outcome: Results are typically presented as statistics, graphs, and charts and are used to support or reject hypotheses.

5. Objective: Aim for objectivity and generalizability, where findings can be applied to larger populations. 

Qualitative Research

1. Nature: Focuses on understanding concepts, thoughts, or experiences. It is exploratory and seeks to provide insights into underlying reasons and motivations.

2. Data Type: This type utilizes non-numerical data, such as interviews, focus groups, open-ended survey responses, and observations.

3. Analysis: This involves thematic or content analysis, which looks for patterns, themes, or narratives within the data rather than statistical significance.

4. Outcome: Results are descriptive and provide a deeper understanding of the subject matter, often presented in narrative form or through direct quotations from participants.

5. Objective: Aim for a rich, in-depth understanding of a phenomenon, acknowledging the subjectivity of the researcher's perspective.

 

Summary

In summary, quantitative research is about numbers and statistical analysis, while qualitative research is about exploring ideas and understanding deeper meanings. The choice between the two methods depends on the research question, the goals of the study, and the nature of the data needed. Researchers may often use a mixed-methods approach that incorporates quantitative and qualitative elements to gain a more comprehensive understanding of a research topic.

 

Deductive and Inductive Research Methods
are two fundamental approaches to research. 

Deductive Method:

1. Definition: The deductive method starts with a general theory or hypothesis and then moves toward a specific observation. It's often described as a "top-down" approach.

2. Process:

   - Begin with a theory or hypothesis that is already established.

   - Formulate specific predictions based on that theory.

   - Collect data to test these predictions.

   - Analyze the results to confirm or refute the hypothesis.

3. Example: If a researcher believes that higher temperatures increase ice cream sales (hypothesis), they may collect sales data during different temperature ranges to verify their claim. 

Inductive Method:

1. Definition: The inductive method works the opposite way, starting with specific observations and moving toward broader generalizations or theories. It is often seen as a "bottom-up" approach.

2. Process:

   - Begin with specific observations or data collection.

   - Identify patterns or regularities in the data.

   - Develop a general theory or hypothesis based on the findings.

3. Example: A researcher might observe that ice cream sales increase on hot days and conclude that higher temperatures generally lead to increased ice cream sales, forming a theory based on these specific instances.

 

In summary, the deductive method tests existing theories through specific cases, while the inductive method involves building theories from specific data and observations. Both methods are valuable and can complement each other in the research process.