Glossary
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. | |
| You can always search for entries (regexp permitted). | |
|
Submit Term | |
| Pages: «1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 » | |
| Term | Definition |
| Operational definition | 1. The procedures or operations used to observe or measure a specific concept. Operationalisation is the process of translating specific research concepts into observable phenomena that are measurable. 2. a specific, precise statement of a concept (variable) in terms of the operations used to measure and categorize observations. For example the operational definition for gender could be the choice selected by a person answering the question "What is your gender ___(1) female ____(2) male" or in secondary analysis the operational definition of crimes could be the number of crimes reported by official agencies (police, sheriff) of a county in their annual report. |
| Operationalize | Putting ideas into action. Translating a hypothesis into a test. |
| Opinion | Statement of one's beliefs or feelings. |
| Ordinal measurement | a level of measurement that is characterized by having a rank or order to the measurement of the variable attributes, mathematically this allows all functions of nominal measures plus ranking -- making greater than and less than comparisons. Statistically acceptable techniques are median, Interquartile range, Spearman's rho, Mann-Whitney U. Examples include: military grades (private, sergeant etc.), most attitude question choices [(1)strongly agree to (6) strongly disagree]. |
| p value | p is the symbol for the probability that is associated with the outcome of a test of the null hypothesis (i.e. it is the probability that an observed inferential statistic occurred through chance variation). If the p value is less than or equal to the stated significance level - often set at 5% (p < 0.05) or 1% (p < 0.01) - then the researcher concludes that the results are unlikely to have occurred by chance and are more likely to have occurred because of the manipulation of the independent variable; the results are said to be 'statistically significant'. If the p value is greater than the significance level, the researcher concludes that the results are likely to have occurred by chance variation, and the results are said to be 'nonsignificant'. |
| Panel mortality | The loss of cases in a panel study at later points in time. |
| Panel study | a study that compares the same cases at two or more points in time. |
| Glossary V2.0 | |
Contoh Jabaran Variabel Penelitian, Sub Variabel dan Indikator Penelitian (6836)
Thesis: Action Research Tutorial (3014)