| 000 | 02322nam a22003255i 4500 | ||
|---|---|---|---|
| 001 | 23414530 | ||
| 005 | 20251124090919.0 | ||
| 008 | 231206s2024 nyu 000 0 eng | ||
| 035 | _a23414530 | ||
| 906 |
_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg |
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| 925 | 0 |
_aacquire _b1 shelf copy _xpolicy default |
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| 010 | _a 2023951708 | ||
| 020 |
_a9780198872979 _q(hardback) |
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| 020 |
_a9780198872979 _q(paperback) |
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| 020 |
_z9780198872993 _q(ebook other) |
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| 020 | _z9780191983832 | ||
| 040 |
_aDLC _beng _erda _cDLC |
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| 042 | _apcc | ||
| 100 | 1 |
_aNeuhäuser, Markus, _eauthor. |
|
| 245 | 1 | 4 |
_aThe statistical analysis of small data sets / _cMarkus Neuhäuser, Graeme D Ruxton. |
| 263 | _a2409 | ||
| 264 | 1 |
_aNew York : _bOxford University Press, _c2024. |
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| 300 | _apages cm | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 520 |
_a"We live in the era of big data. However, small data sets are still common for ethical, financial, or practical reasons. Small sample sizes can cause researchers to particularly seek the most powerful methods to analyse their data; but they may be wary that some methodologies rely on assumptions that may not be appropriate when samples are small. The book offers advice on the statistical analysis of small data sets for various designs and levels of measurement. This should help researchers to analyse such data sets, but also to evaluate and interpret others' analyses. Potential challenges associated with a small sample and ways how these challenges can be mitigated are discussed. Generally, approaches that are often not especially difficult to apply are preferred, a focus is on permutation tests and bootstrap methods. However, topics such as meta-analysis, sequential and adaptive designs and multiple testing are also discussed. The focus is on frequentist methods, but Bayesian analyses are also covered. R code is presented to carry out the proposed methods, many of them are not limited to use on small data sets. Approaches to compute the power or the necessary sample size, respectively, are also given"-- _cProvided by publisher. |
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| 700 | 1 |
_aRuxton, Graeme D, _eauthor. |
|
| 999 | f | f |
_i4cee27db-41f9-5350-b2a7-b788d236d723 _sc85d9a37-ae94-4ad1-8235-d965febf01bd _c608014 _d608014 |