| 000 | 01154nam a2200217 4500 | ||
|---|---|---|---|
| 005 | 20250717132542.0 | ||
| 008 | 250717b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781529790450 (paperback) | ||
| 040 | _cPSAU | ||
| 082 | _aC 300.15195 F655 2023 | ||
| 100 | 1 | _aFogarty, Brian J. | |
| 245 | 1 |
_aQuantitative social science data with R _b: an introduction _c/ Brian J. Fogarty. |
|
| 260 |
_aLondon _b: SAGE Publishing, _cc2023. |
||
| 300 |
_ax, 390 pages _b: illustrations; _c25 cm. |
||
| 500 | _aIncludes bibliographical references and index. | ||
| 520 | _a1. Introduction.-- 2. Introduction to R and R Studio.-- 3. Finding Data.-- 4. Data Management.-- 5. Variables and Manipulation.-- 6. Developing Hypotheses.-- 7. Univariate and Descriptive Statistics.-- 8. Visualising Data.-- 9. Hypothesis Testing.-- 10. Bivariate Analysis.-- 11. Linear Regression and Model Building.-- 12. OLS Assumptions and Diagnostic Testing.-- 13. Putting It All Together | ||
| 650 | 1 |
_aSocial sciences _xStatistical methods. |
|
| 650 | 1 | _aR (computer program language) | |
| 650 | 1 |
_aSocial sciences _xdata processing. |
|
| 942 |
_2ddc _n0 _cBK _hC _k300.15195 _mF655 _e2023 |
||
| 999 |
_c17260 _d17260 |
||