Librarian View
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20220928114845.0
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211027s2016 nyua b 001 0 eng
010
a| 2015017536
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a| 9780415836661
q| (pbk)
020
z| 9780415836654
q| (hbk)
020
z| 9781315814919
q| (ebk)
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a| (HKSYU)b21441686-852hksyu_inst
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a| (OCoLC)908089137
040
a| DLC
b| eng
e| rda
c| DLC
d| YDX
d| BTCTA
d| YDXCP
d| OCLCF
d| HRM
d| CDX
d| OCLCQ
d| L2U
d| MYUTI
d| UtOrBLW
d| HK-SYU
042
a| pcc
050
0
0
a| QA278
b| .S74 2016
082
0
0
a| 519.5/350243
2| 23
092
0
a| 519.5
b| PIT 2016
100
1
a| Pituch, Keenan A.,
e| author.
245
1
0
a| Applied multivariate statistics for the social sciences :
b| analyses with SAS and IBM's SPSS /
c| Keenan A. Pituch and James P. Stevens
246
3
0
a| Analyses with SAS and IBM's SPSS
250
a| Sixth edition
264
1
a| New York :
b| Routledge/Taylor & Francis Group,
c| 2016.
264
4
c| ©2016
300
a| xx, 793 pages :
b| illustrations ;
c| 26 cm
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
500
a| Previous edition by James P. Stevens
504
a| Includes bibliographical references and index
505
0
a| 1. Introduction -- 2. Matrix algebra -- 3. Multiple regression for prediction -- 4. Two-group multivariate analysis of variance -- 5. K-Group MANOVA: a priori and post hoc procedures -- 6. Assumptions in MANOVA -- 7. Factorial ANOVA and MANOVA -- 8. Analysis of covariance -- 9. Exploratory factor analysis -- 10. Discriminant analysis -- 11. Binary logistic regression -- 12. Repeated-measures analysis -- 13. Hierarchical linear modeling -- 14. Multivariate multilevel modeling -- 15. Canonical correlation -- 16. Structural equation modeling
520
a| Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally
650
0
a| Multivariate analysis
650
0
a| Social sciences
x| Statistical methods
700
1
a| Stevens, James
q| (James Paul),
e| author.
907
a| b21441686
b| 22-01-22
c| 27-10-21
910
a| wpc
b| mkl
935
a| (HK-SYU)501040873
9| ExL
998
a| book
b| 22-01-22
c| m
d| a
e| -
f| eng
g| nyu
h| 0
i| 0
945
h| Supplement
l| location
i| barcode
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f| bookplate
a| callnoa
b| callnob
n| PSY213