000 02382nam a2200373 i 4500
005 20250930142955.0
008 190716t2018 enka bi 001 0 eng
020 _a9781446298480
_qpaperback
_cRM 182.44
039 9 _a201909121448
_blan
_c201909041126
_dmurni
_y07-16-2019
_zmurni
040 _aUKBRU
_beng
_cUKBRU
_erda
_dOCLCF
_dYDX
_dTXI
_dOCLCQ
_dCLO
_dNRC
_dU3G
_dEZ9
_dUBC
_dSTF
_dDLC
_dUKM
_erda
042 _alccopycat
090 _aH62.B6283
090 _aH62
_b.B6283
100 1 _aBors, Douglas Alexander,
_d1950-
_eauthor.
245 1 0 _aData analysis for the social sciences :
_bintegrating theory and practice /
_cDouglas Bors.
246 1 8 _ispine title :
_aData analysis for the social sciences.
264 1 _aLos Angeles :
_bSAGE,
_c2018.
264 4 _c©2018.
300 _axv, 642 pages :
_billustrations ;
_c24 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
504 _aIncludes bibliographical references : pages 630-636 and index.
505 _aPart I : The foundations -- Part II: Basic research designs -- Part III : Analysing complex designs.
520 _aAccessible, engaging, and informative, this text will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM{u04D0}SS{u04F4}atistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability.
650 0 _aSocial sciences
_xResearch.
_960873
907 _a.b16739917
_b2019-11-12
_c2019-11-12
942 _c01
_n0
_kH62.B6283
914 _avtls003649544
991 _aFakulti Sains Sosial dan Kemanusiaan
998 _at
_b2019-03-07
_cm
_da
_feng
_genk
_y0
_z.b16739917
999 _c641912
_d641912