| 000 | 02556nam a22003017a 4500 | ||
|---|---|---|---|
| 003 | CSPC | ||
| 005 | 20251001134602.0 | ||
| 008 | 240813s2021 caua bi 001 0 eng d | ||
| 020 | _a9781473982154 | ||
| 040 |
_cCSPC _aCSPC _beng _erda |
||
| 050 | 4 |
_aLB1028 _b.G33 2021 |
|
| 082 | 0 | 4 |
_a378.007 _bG115u |
| 100 | 1 |
_aGaciu, Nicoleta, _eauthor. |
|
| 245 | 1 | 0 |
_aUnderstanding quantitative data in educational research / _cNicoleta Gaciu. |
| 264 | 1 |
_aLos Angeles : _bSAGE, _c2021. |
|
| 300 |
_axii, 356 pages : _billustrations ; _c23 cm. |
||
| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _aunmediated |
||
| 338 |
_2rdacarrier _avolume |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aPart 1. Understanding quantitative data and R -- Introduction to information, knowledge and quantitative data -- An introduction to R and RStudio -- Part 2. Data visualization -- Graphical representation of data -- Part 3. Providing information about data -- Descriptive statistics -- Measures of dispersion and distributions -- Normal distribution and standardised scores -- Part 4. Making estimations and predictions from data -- Fundamentals of inferential statistics -- Estimation and hypothesis testing -- Part 5. From sample to population -- One-sample tests -- Differences between two independent or dependent samples -- Differences between more than two independent samples -- Differences between more than two dependent samples -- Part 6. Relationships and predictions -- Relationships between variables -- Predictions for independent and dependent variables. | |
| 520 | _a"This book is designed to help education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods. Highly practical, each chapter includes step-by-step instructions on how to run specific statistical tests using R, practical tips on how to interpret results correctly and exercises to put into practice what students have learned. It also includes guidance on how to use R and RStudio, how to visualise quantitative data, and the fundamentals of inferential statistics, estimations and hypothesis testing." -- provided by publisher. | ||
| 650 | 0 |
_aEducation. _vResearch _xData processing. |
|
| 650 | 0 | _aQuantitative research. | |
| 650 | 0 | _aR (Computer program language). | |
| 942 |
_2ddc _n0 _cBK _h378.007 _iG115u _kCIR _m2021 |
||
| 999 |
_c28044 _d28044 |
||