| 000 | 01649nam a22002177a 4500 | ||
|---|---|---|---|
| 005 | 20260421110330.0 | ||
| 008 | 260421s2025 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781071929421 | ||
| 040 | _cPK-LaUMT | ||
| 082 |
_a320.0285 _bHOL-I |
||
| 100 | 1 |
_aHolbrook, Thomas M. _911143 |
|
| 245 | 1 | 3 |
_aAn introduction to political and social data analysis (with R) / _cThomas M. Holbrook |
| 260 |
_aCalifornia : _bSage, _c2025 |
||
| 300 | _axxiii, 450 p. | ||
| 500 | _aIndex present | ||
| 520 | _aOrigin story I have probably used a half a dozen or so different textbooks over the years in my Political Data Analysis course, always thinking that I had finally found the right one, only to inevitably decide that I needed to find something else. I suppose I was a bit like Goldilocks: Most books had many things to recommend them, but none were quite right. Some books had a social science orientation but not much to say about political science. Some books were overly technical, while others were not technical enough. Some books were essentially programming manuals with little to no research design or statistics instruction, while others were very good on research design or statistics but offered very little on the computing side. In the back of my mind, I figured I would eventually have to put up or shut up: I was going to have to put together my own textbook. This book started as a collection of lecture notes that I put online for my undergraduates in the wake of the COVID-19 outbreak in March of 2020. | ||
| 546 | _aEng | ||
| 650 | _aR (computer program language) | ||
| 650 |
_aPolitical science-data processing _911144 |
||
| 942 | _cBK | ||
| 999 |
_c140558 _d140558 |
||