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Market Research - Coggle Diagram
Market Research
Research Design
Study Planning
Planning stages
Programs: Scheme establishing the sequence of specific activities to be carried out to achieve the objectives
Procedures: Establish the chronological order and sequence of activities to be followed in the performance of repetitive work.
Policies: Guide to action guidance; criteria, general guidelines to be observed in decision-making.
Premises: These are assumptions that should be considered in the face of future circumstances or conditions that will affect the course
Purposes: They provide guidelines for the design of a strategic plan, are generically expressed and determined on a basis reserved to senior company officials, not indicating a limitation of duration to future
Procedures: Establish the chronological order and sequence of activities to be followed in the performance of repetitive work.
Strategy: General or alternative course of action that shows the overall direction and use of resources and efforts to achieve objectives under advantageous conditions.
Programs: Scheme establishing the sequence of specific activities to be carried out to achieve the objectives and time required to carry out each of its parts
Planning Principles
Flexibility Principle
Within precision all bread should leave room for possible changes that may arise because of the unpredictable
Unit Principle
Plans should be of such a nature that the existence of a single plan can be affirmed for each function
Planning Principles
Plans should not be made with generic claims, but as accurately as possible
Sources of Information
Primary Data Sources
Once secondary sources are exhausted, researchers may not yet have enough information.
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Types of Market Research
Conclusive Investigation
It is characterized by its formal procedures, objectives and defined information needs.
Descriptive Research
Most studies of this type depend largely on asking questions to respondents and on the availability of data from secondary sources.
The most important is to determine the need for information, based on that there are different research criteria such as:
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Consultant Determination
Una vez elegidas las posibles fuentes de datos, hemos de valorarlas, teniendo en cuenta los siguientes aspectos:
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Sampling
Sample Types
Method of tiered quotas:
It consists of allocating certain quotas to interviewers in which the conditions of the people to be interviewed are realized.
Mixed sample method:
It is a question of applying different criteria at the same time in a universe, for example by mixing national geographical criteria and rural and urban habitats.
Random sample method:
It's about getting around all the components of the universe, those people who are going to be part of the calculated sample.
Sample Size
It is the number of elements, chosen or not at random, that must be taken from a universe so that the results can be extrapolated to it, and provided that they are representative of the population.
The Sample Procedure
The design of the sample determines the limits of the research, the universe of the population to be studied and the representativeness of the study sample.
Parameter : These are the measures or data that are obtained on the distribution of population probabilities, such as mean, variance, proportion, etc.
Statistical. The data or measures that are obtained on a sample and therefore an estimate of the parameters.
Feature Determination
Sample Size
Deductive reasoning is directly related to probability theory, and that from the characteristics of the population the possible characteristics of a sample are obtained.
Sample Design:
Population
Statisticians use the word population to refer not only to people but to all the elements that have been chosen for study.
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Sampling Types
The authors propose different classification criteria for different types of sampling, although they can generally be divided into two large groups: Probabilistic sampling methods and non-probabilistic sampling methods.
Representativeness: The sample should be the best possible reflection of the set from which it comes.
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Representativeness: The sample should be the best possible reflection of the set from which it comes.
Medición
Measurement Scale
The ordinal measurement scale: is the one that includes the values of ordinal variables that can be sorted in a certain order
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Nominal measurement scale: this is the one that includes the values of the nominal variables, which do not have a preset order and are mutually exclusive values.
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Validity and Reliability
Reliability: refers to the inner consistency of the same, its ability to consistently discriminate between one value and another.
Validity: indicates the ability of the scale to measure the qualities for which it has been built and not similar ones.
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Data Assessment
The value of an investigation depends on the results. And because data doesn't have the gift of word, analysis and interpretation are fundamental elements of any project.
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