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The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power .
The minimum and the maximum value are the first and last order statistics (often denoted X (1) and X (n) respectively, for a sample size of n). If the sample has outliers, they necessarily include the sample maximum or sample minimum, or both, depending on whether they are extremely high or low. However, the sample maximum and minimum need not ...
Formulas, tables, and power function charts are well known approaches to determine sample size. Steps for using sample size tables: Postulate the effect size of interest, α, and β. Check sample size table [20] Select the table corresponding to the selected α; Locate the row corresponding to the desired power; Locate the column corresponding ...
The effective sample size, defined by Kish in 1965, is calculated by dividing the original sample size by the design effect. [1]: 162, 259 ...
PEBL (Psychology Experiment Building Language) is an open source software program created by Shane T. Mueller that allows researchers to design and run psychological experiments. It runs on PCs using Windows, OS X, and Linux, using the cross-platform Simple DirectMedia Library (libSDL) .
nQuery Sample Size Software – Sample Size and Power Analysis Software [5] O-Matrix – programming language; OriginPro – statistics and graphing, programming access to NAG library; PASS Sample Size Software (PASS) – power and sample size software from NCSS
A wide range of research methods are used in psychology. These methods vary by the sources from which information is obtained, how that information is sampled, and the types of instruments that are used in data collection. Methods also vary by whether they collect qualitative data, quantitative data or both.
The match-to-sample task has been shown to be an effective tool to understand the impact of sleep deprivation on short-term memory. One research study [9] compared performance on a traditional sequential test battery with that on a synthetic work task requiring subjects to work concurrently on several tasks, testing subjects every three hours during 64 hrs of sleep deprivation.