000			01641cam a2200361 i 4500
999			_c113698 _d113698
001			19685533
003			OSt
005			20200908112938.0
008			170602s2018 nyu 000 0 eng
010			_a 2017010031
020			_a9780190656225 (pbk.)
020			_a9780190656218 (hardcover)
020			_z9780190656232 (updf)
020			_z9780190656249 (epub)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aH61.3 _b.L52 2018
082	0	0	_a330.2855 LI _223
100	1		_aLi, Quan, _d1966- _eauthor.
245	1	0	_aUsing R for data analysis in social sciences : _bA research project-oriented approach / _cQuan Li.
264		1	_aNew York, NY : _bOxford University Press, _c[2018]
300			_axix, 341 pages ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
505			_aTable of contents List of Figures List of Tables 1. Learn about R and Write First Toy Programs 2. Get Data Ready: Import, Inspect, and Prepare Data 3. One-Sample and Difference of Means Tests 4. Covariance and Correlation 5. Regression Analysis 6. Regression Diagnostics and Sensitivity Analysis 7. Replicate Findings in Published Analyses 8. Appendix: A Brief Introduction to Analyzing Discrete Data
650		0	_aSocial sciences _xResearch _xData processing.
650		0	_aSocial sciences _xStatistical methods.
650		0	_aR (Computer program language)
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK