METHODOLOGY RESEARCH
This map is about methodology research
1. PROBLEM RESEARCH
1.1. This envolve the primary ideas of the research, it has to be precise, original and viable. It is written as a question about the issue that needs to be investigated.
1.1.1. PARADIGAMA: It is an idea share by a group of people, that helps them to understand the world on an especific way.
1.1.1.1. EMPIRICAL PARADIGMA
1.1.1.1.1. Quantitave, ruled by laws, it pretends to achieve generalities, without envolve any personal judgment.
1.1.1.2. INTERPRETATIVE
1.1.1.2.1. Qualitative, based on exploration , description and discovery. It does envolve subjectivity.
2. JUSTIFICATION
2.1. It talks about the meaning of the research, what are the benefits and to who is ment to reach. It is done along with the research problem
3. OBJECTIVES
3.1. What is the goal? It is recomended to follow the taxonomy of Bloom when we propose the objectives
3.1.1. GENERAL OBJECTIVE
3.1.1.1. This is the principal objective that response the research problem, it is recommended to use only one general objective, so the guide line don't guet lost.
3.1.2. SPECIFIC OBJECTIVES
3.1.2.1. On this case it's recommended two to five objectives. Acording to Pérez L. (et.al)(2020) "The specific objectives are those that we want to reach so we can get closer to achieve the general objective" (page 43)
4. DATA ANALYSIS
4.1. This is the last stage of the research, were the data and the theory integrated together. The investigator chose the aproach acording to their research
4.1.1. STATISTICS ANALYSIS All the conclusions came frome de recovered data, about the studied variables
4.1.1.1. ESTIMATED
4.1.1.1.1. The research it's build from the recovered data, acording to population parameters. It measures the population distribution.
4.1.1.2. HYPOTHESIS TEST
4.1.1.2.1. It finds the specific property of the study population. It answers the proposed hypothesis.
4.1.2. QUALITATIVE ANALYSIS: There is no established process, however it can be done following the next steps:
4.1.2.1. ORGANIZE DATA
4.1.2.2. ENCODE INFORMATION: categorize and arrange all the information by patterns
4.1.2.3. RESUME DATA
4.1.2.4. INTEGRATE DATA: linking concepts and categorize topics. You can use graphics.
5. RESEARCH APROACH
5.1. QUANTITATIVE
5.1.1. It is base on statistics measures in order to establish generalities. Pérez L (et.al) (2020) said that this is "the collection and data processing, that is turn into information. Yet , this information will be used to describe phenomena, behavior prediction of variables and models". (Page 130)
5.1.1.1. Study trends, dispertion measures, concentration measures, and variability measures. Using range, average, variance and other statistics measures.
5.1.2. DESCRIPTIVE, PREDICTIVE, DEDUCTIVE AND CORRELATIONAL
5.2. QUALITATIVE
5.2.1. It is usted for depp knowledge, it analyses the context.
5.2.1.1. Focused on the population, their life expiriences, behavior, history and actions.
5.2.1.1.1. Different analysis methods: ethnographic, cultural, focus groups, case study and bibliographic.
5.2.2. It use "anticipation meanings" that works as a guiding line for the researcher.
5.2.3. INDUCTIVE, REFLEXIVE, FLEXIBLE, INTERPRETATIVE.
5.3. MIXED METHODS
5.3.1. Broad pespective, the recovered data can be quantitave and quantitave. It is rigorous and solid.
5.3.1.1. It combines different methodologies , through "methodologic triangulation".
5.3.1.2. One aproach should not be impose over the other, thats what Pérez L (et.al)(2020) said "The combination of quantitave and qualitative methods offers a broad visión about the phenomena, but not the repeatability of findings" (page 208)
6. CONCEPTUAL FRAMEWORK
6.1. Details the major concepts that sustain the research, however we are not making a glossary, but an integration of knowledge.The backgroud researchs are settle here thanks to the literature review.
6.1.1. LITERATURE REVIEW
6.1.1.1. We have to do a thorough review of existing literature using techniques that provide confidence about the consulted sources. This sources will settle basis for our research.
6.1.1.1.1. Identify the major background research about the phenomena in question.
6.1.1.1.2. Consult electronic libraries or databases as Mendeley or Google Academic that are more selectives.
6.1.1.1.3. Recognize the concepts and variables that are repeated between the major background researchs.
6.1.1.1.4. Consult the sources mentioned on this background researchs.
6.1.2. VARIABLES
6.1.2.1. Perez L. (et.al)(2020) they mention that "a variable is a unit analysis feature that can be measure and has at least two values" (page 96)
6.1.2.1.1. NOMINAL
6.1.2.1.2. ORDINAL
6.1.2.1.3. NUMERICAL
7. CONTEXTUAL FRAMEWORK
7.1. It is not written explicitly, it's about the context where the research take place, the studied population and the time we are making the study.
7.1.1. WHERE?
7.1.2. WHEN?
7.1.3. WHY?
7.1.4. WHO?
8. METHODOLOGICAL FRAMEWORK
8.1. It is about the methods used to collect and analyse data. In order to do it, it's necessary to establish a population, or an underlying population.
8.1.1. PROBABILITY SAMPLING: should be ramdom, systematic and stratified.
8.1.2. APROACH
8.1.2.1. QUANTITATIVE
8.1.2.1.1. COLLECTION DATA TECHNIQUES
8.1.2.1.2. The study of stablished variables by statistics measures.
8.1.2.1.3. Probabilistic, random and systematic sampling
8.1.2.2. QUALITATIVE
8.1.2.2.1. Non-Probabilistic, it is intencional, the categories are build from the recovered data.
8.1.2.2.2. COLLECTION DATA TECHNIQUES
8.1.3. NON-PROBABILITY SAMPLING: intencional or for convenience, snowball sampling, per quota.
9. CONCLUSION AND RECOMENDATION
9.1. Neutral, impartial, it does not include personal statements.
9.2. Based on the results and facts.
9.3. It's meant to respond the research problem.
9.4. Confirm the objectives
9.5. Unresolve problems are mentioned
10. TYPES OF RESEARCHS
10.1. EXPLORATORY
10.1.1. Serves as basis for future researchs, embraces not much studied phenomena
10.2. DESCRIPTIVE
10.2.1. Describe the phenomena as it is and behave. The hypothesis is not used.
10.3. CORRELATIONAL
10.3.1. Measure the rank of conection between two phenomena or variables.
10.4. EXPLANATORY
10.4.1. Test hypothesis looking for the cause of the phenomena. There are previous theories.