Glossary | |
These is glossary of research key terms. This glossary is intended as an aid to
professionals and non-professionals who find the world of research
somewhat intimidating. While it is impossible to cover all the terms
that can be confusing, this document briefly defines some of the more
common terms and concepts. | |
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| Term | Definition |
| Phenomenalism | The idea that only observable phenomena should be studied. |
| Phenomenology | 1. A research methodology which has its roots in philosophy and which focuses on the lived experience of individuals. 2. Knowledge is discovered through open, unbiased description of experience. |
| Physicalism | As there is one set of physical things to study (including people) then a common language is feasible to describe all experience. |
| Populasi | Berdasarkan pendapat Arikunto, populasi adalah keseluruhan subjek penelitian. Mantra dan Kasto: “Populasi adalah jumlah keseluruhan dari unit analisa yang ciri-cirinya akan diduga. |
| Population | 1. A well-defined group or set that has certain specified properties (e.g. all registered midwives working full-time in Scotland). 2. In the context of sampling, population refers to the universe of all possible cases. If you are studying the members of IBM, it is the set of all members of IBM. Can be used in contrast to sample. |
| Population Parameters | Number value that represents a summary characteristics of a population (in contrast to the statistics that describe sample data). The Greek letter mu (µ) signifies a population's mean. An example would be: the mean weight of a human population is 135 lbs. |
| Populations | (universe) The complete set of units (individuals, groups, events, families, cities, counties, automobiles that a researcher wants to study, make statements about , or refer to in his/her hypotheses and conclusions. |
| Glossary V2.0 | |

Glossary