Research Methods | Dulliau Ymchwil

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Technegau samplu

Technegau samplu

Technegau samplu

Technegau samplu

Technegau samplu

Technegau samplu

Technegau samplu

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Dulliau ymchwil

Mae’r animeiddiad hwn yn dangos pa mor wasgaredig yw’r data a gasglwyd a sut i ddadansoddi’r gwasgariad hwnnw. Bydd yn dangos sut y gall y gwasgariad amrywio mewn perthynas â’r cyfartaledd, drwy fesur y gwyriad safonol. Mae’r mesuriadau hyn yn ein galluogi i ddisgrifio sut y gall data amrywio o fewn poblogaeth benodedig.

This animation explains what is meant by 'dispersion' and 'standard deviation' in relation to the quantitative analysis of research data.

Find out about a variety of sampling techniques used within the data gathering phase of the research process.

Introducing Research Methods and the idea of sampling the population within the data gathering exercise.

Within research, this is the specific group to which we wish to generalise our findings and from which we draw our sample.

It is rarely possible for a researcher to gather data from the complete population which is of interest. Therefore the researcher has to gather data from a subset of the population. This is referred to as the sample.

Used for selecting probability samples. The population is divided up into homogeneous, non-overlapping groups, or strata, so that elements within a given group will have similar characteristics.

Used for selecting probability samples within the data gathering phase.

Used for selecting non-probability samples. This method is useful when you are trying to reach members of a population that is inaccessible or difficult to locate.

Used for selecting probability samples. The population is divided into clusters, usually according to geographical boundaries. A random selection of these clusters is then taken.

Used for selecting probability samples. This technique is based on cluster sampling. A series of cluster samples has to be taken in order to obtain the final sample that will be selected.

Find out about a variety of sampling techniques used within the data gathering phase of the research process.

Used for selecting non-probability samples. This approach is useful when interested in quickly gathering the views of a specific group or groups, and is typically used in market research.

Used for selecting probability samples within the data gathering phase. The sampling frame displays the elements under study as a random list; selections are then made at regular intervals.

Used for selecting non-probability samples. Individuals are included in the sample because they are the most easily accessible.

This sample is selected purely at random from the sampling frame, and each element from the sampling frame has an equal chance of being selected.

Proportional quota sampling is used to represent important characteristics of the population that might be related to a dependent variable with given characteristics, for example, gender or ethnicity.

Non-proportional quota sampling is used to specify the minimum number of sampled individuals that we require for each category.