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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
Response rateThe proportion (percentage) of those invited to participate in a research study who actually do so.
 
Row percentsPercentages in a table that add across to 100 percent.
 
Rule for computing percents
If the independent variable is the column variable, the percents should sum down to 100; if the independent variable is the row variable, the percents should sum across to 100.
 
Rule for interpreting percents

Compare in the direction opposite to the way the percents sum to 100.

 
Sampel

Pendapat Sugiyono, sampel adalah bagian dari jumlah dan karakteristik yang dimiliki oleh populasi tersebut. Contoh: Karena jumlah populasi tidak diketahui tidak terhingga, maka jumlah penentuan sampel dilakukan berdasarkan pendapat Nares K. Malhotru (1993:622), yang menyatakan bahwa jumlah sampel atau responden paling sedikit empat atau lima kali jumlah sub variabel/item yang digunakan dalam penelitian.

 

 
Sample
1. A subset of population elements. In some usages, contrasts with population. 2. a selection of units from a population (universe). Of particular importance is how the sample was selected (see simple random sample [SRS]). 3. subset of the population used for study.
 
Sampling
1. The practice of choosing a subset of population elements to study instead of the entire population. In general, we sample because (a) it's cheaper; (b) in some cases the population is theoretically infinite. There are two basic kinds of sampling: probability and non-probability. 2. The process of selecting a subgroup of a population to represent the entire population. There are several different types of sampling, including:
 


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