Introduction to statistics in psychology:
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Harlow ; Munich [u.a.]
Prentice Hall
2011
|
| Edition: | 5. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XLVI, 624 S. Ill., graph. Darst. |
| ISBN: | 9780273734307 |
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MARC
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| 245 | 1 | 0 | |a Introduction to statistics in psychology |c Dennis Howitt ; Duncan Cramer |
| 250 | |a 5. ed. | ||
| 264 | 1 | |a Harlow ; Munich [u.a.] |b Prentice Hall |c 2011 | |
| 300 | |a XLVI, 624 S. |b Ill., graph. Darst. | ||
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| adam_text | IMAGE 1
CONTENTS
GUIDED TOUR GUIDED TOUR OF THE COMPANION WEBSITE INTRODUCTION LIST OF
FIGURES LIST OF TABLES LIST OF BOXES ACKNOWLEDGEMENTS PART 1 DESCRIPTIVE
STATISTICS 1 WHY YOU NEED STATISTICS: TYPES OF DATA OVERVIEW 1.1
INTRODUCTION 1.2 VARIABLES AND MEASUREMENT 1.3 MAJOR TYPES OF
MEASUREMENT KEY POINTS COMPUTER ANALYSIS 2 DESCRIBING VARIABLES: TABLES
AND DIAGRAMS OVERVIEW 2.1 INTRODUCTION 2.2 CHOOSING TABLES AND DIAGRAMS
2.3 ERRORS TO AVOID KEY POINTS COMPUTER ANALYSIS 3 DESCRIBING VARIABLES
NUMERICALLY: AVERAGES, VARIATION AND SPREAD OVERVIEW 3.1 INTRODUCTION
3.2 TYPICAL SCORES: MEAN, MEDIAN AND MODE 3.3 COMPARISON OF MEAN, MEDIAN
AND MODE 3.4 THE SPREAD OF SCORES: VARIABILITY KEY POINTS COMPUTER
ANALYSIS XX
XXIII
XXV XXX
XXXIV
XLIII XLV
3
3 4
5
6
10 10
11
11
12
13
21
21 22
23
23 24
25
29
29
34 35
IMAGE 2
CONTENTS
4
4.1
4.2
4.3
4.4
4.5
5
5.1
5.2
5.3
5.4
5.5
5.6
6
6.1
6.2
6.3
6.4
6.5
7
7.1 7.2
7.3
7.4
7.5
7.6
7.7
SHAPES OF DISTRIBUTIONS OF SCORES
OVERVIEW INTRODUCTION
HISTOGRAMS AND FREQUENCY CURVES
THE NORMAL CURVE
DISTORTED CURVES
OTHER FREQUENCY CURVES
KEY POINTS COMPUTER ANALYSIS
STANDARD DEVIATION AND Z-SCORES: THE STANDARD UNIT OF MEASUREMENT IN
STATISTICS OVERVIEW INTRODUCTION
THEORETICAL BACKGROUND
MEASURING THE NUMBER OF STANDARD DEVIATIONS - THE Z-SCORE
A USE OF Z-SCORES
THE STANDARD NORMAL DISTRIBUTION
AN IMPORTANT FEATURE OF Z-SCORES
KEY POINTS COMPUTER ANALYSIS
RELATIONSHIPS BETWEEN TWO OR MORE VARIABLES: DIAGRAMS AND TABLES
OVERVIEW INTRODUCTION
THE PRINCIPLES OF DIAGRAMMATIC AND TABULAR PRESENTATION
TYPE A: BOTH VARIABLES NUMERICAL SCORES
TYPE B: BOTH VARIABLES NOMINAL CATEGORIES
TYPE C: ONE VARIABLE NOMINAL CATEGORIES, THE OTHER NUMERICAL SCORES
KEY POINTS COMPUTER ANALYSIS
CORRELATION COEFFICIENTS: PEARSON CORRELATION AND SPEARMAN S RHO
OVERVIEW INTRODUCTION
PRINCIPLES OF THE CORRELATION COEFFICIENT
SOME RULES TO CHECK OUT
COEFFICIENT OF DETERMINATION
SIGNIFICANCE TESTING
SPEARMAN S RHO - ANOTHER CORRELATION COEFFICIENT
AN EXAMPLE FROM THE LITERATURE
KEY POINTS COMPUTER ANALYSIS
36
36
37
3/
38
39
42
45 45
46
46
47
47
51
52
53
57
57 58
59
59 60
60
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66
67 67
68
68
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69
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79
S3
84 85
IMAGE 3
8
8.1
8.2
8.3
PART 2
9
9.1
9.2
9.3
9.4
10
10.1
10.2
10.3
10.4
10.5
11
11.1 11.2
11.3
REGRESSION: PREDICTION WITH PRECISION
OVERVIEW INTRODUCTION
THEORETICAL BACKGROUND AND REGRESSION EQUATIONS
STANDARD ERROR: HOW ACCURATE ARE THE PREDICTED SCORE AND THE REGRESSION
EQUATIONS?
KEY POINTS COMPUTER ANALYSIS
SIGNIFICANCE TESTING
SAMPLES AND POPULATIONS: GENERALISING AND INFERRING OVERVIEW
INTRODUCTION
THEORETICAL CONSIDERATIONS
THE CHARACTERISTICS OF RANDOM SAMPLES
CONFIDENCE INTERVALS
KEY POINTS COMPUTER ANALYSIS
STATISTICAL SIGNIFICANCE FOR THE CORRELATION COEFFICIENT:
A PRACTICAL INTRODUCTION TO STATISTICAL INFERENCE OVERVIEW INTRODUCTION
THEORETICAL CONSIDERATIONS
BACK TO THE REAL WORLD: THE NULL HYPOTHESIS
PEARSON S CORRELATION COEFFICIENT AGAIN
THE SPEARMAN S RHO CORRELATION COEFFICIENT
KEY POINTS COMPUTER ANALYSIS
STANDARD ERROR: THE STANDARD DEVIATION OF THE MEANS OF SAMPLES
OVERVIEW INTRODUCTION
THEORETICAL CONSIDERATIONS
ESTIMATED STANDARD DEVIATION AND STANDARD ERROR
KEY POINTS COMPUTER ANALVSIS
CONTENTS
86
86 87
89
94
95 9B
)
99 99
100
100
101
104
104 105
106 106
107
107
109
111
115
116 117
118 118
119
119
120
123 124
IX
IMAGE 4
CONTENTS
12
12.1
12.2
12.3
12.4
12.5
13
13.1
13.2
13.3
13.4
14
14.1
14.2
14.3
14.4
14.5
14.6
14.7
14.8
15
15.1
15.2
15.3
THE F-TEST: COMPARING TWO SAMPLES OF CORRELATED/RELATED/PAIRED SCORES
OVERVIEW
INTRODUCTION
DEPENDENT AND INDEPENDENT VARIABLES
SOME BASIC REVISION
THEORETICAL CONSIDERATIONS
CAUTIONARY NOTE
KEY POINTS COMPUTER ANALYSIS
THE MEST: COMPARING TWO SAMPLES OF UNRELATED/UNCORRELATED SCORES
OVERVIEW
INTRODUCTION
THEORETICAL CONSIDERATIONS
STANDARD DEVIATION AND STANDARD ERROR
CAUTIONARY NOTE
KEY POINTS COMPUTER ANALYSIS
CHI-SQUARE: DIFFERENCES BETWEEN SAMPLES OF FREQUENCY DATA
OVERVIEW
INTRODUCTION
THEORETICAL ISSUES
PARTITIONING CHI-SQUARE
IMPORTANT WARNINGS
ALTERNATIVES TO CHI-SQUARE
CHI-SQUARE AND KNOWN POPULATIONS
CHI-SQUARE FOR RELATED SAMPLES - THE MCNEMARTEST
EXAMPLE FROM THE LITERATURE
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
PROBABILITY
OVERVIEW
INTRODUCTION
THE PRINCIPLES OF PROBABILITY
IMPLICATIONS
KEY POINTS
125
125
126
128
128
129
134
135 136
137
137
138
139
144
150
150 151
152
152
153
154
160
161
161
166
168
169
169 170 170
171
171
172
172
174
176
IMAGE 5
CONTENTS
XI
16 REPORTING SIGNIFICANCE LEVELS SUCCINCTLY
OVERVIEW
16.1 INTRODUCTION
16.2 SHORTENED FORMS
16.3 EXAMPLES FROM THE PUBLISHED LITERATURE
KEY POINTS COMPUTER ANALYSIS
17 ONE-TAILED VERSUS TWO-TAILED SIGNIFICANCE TESTING
OVERVIEW
17.1 INTRODUCTION
17.2 THEORETICAL CONSIDERATIONS
17.3 FURTHER REQUIREMENTS
KEY POINTS
18 RANKING TESTS: NONPARAMETRIC STATISTICS
OVERVIEW
18.1 INTRODUCTION
18.2 THEORETICAL CONSIDERATIONS
18.3 NONPARAMETRIC STATISTICAL TESTS
18.4 THREE OR MORE GROUPS OF SCORES
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
177
177 178
178
179
182 183
184
184
185
185
187
188
189
189
190
190
192
200
200 201 201
PART 3 INTRODUCTION TO ANALYSIS OF VARIANCE 203
19 THE VARIANCE RATIO TEST: THE F-RATIO TO COMPARE TWO VARIANCES 205
OVERVIEW 205
19.1 INTRODUCTION 206
19.2 THEORETICAL ISSUES AND AN APPLICATION 207
KEY POINTS 211
COMPUTER ANALYSIS 211
20 ANALYSIS OF VARIANCE (ANOVA): INTRODUCTION TO THE ONE-WAY UNRELATED
OR UNCORRELATED ANOVA 212
OVERVIEW 212
20.1 INTRODUCTION 213
20.2 SOME REVISION AND SOME NEW MATERIAL 213
IMAGE 6
CONTENTS
20.3 THEORETICAL CONSIDERATIONS 214
20.4 DEGREES OF FREEDOM 218
20.5 THE ANALYSIS OF VARIANCE SUMMARY TABLE 224
20.6 QUICK CALCULATION METHODS FOR ANOVA 225
KEY POINTS 228
COMPUTER ANALYSIS 229
21 ANALYSIS OF VARIANCE FOR CORRELATED SCORES OR REPEATED MEASURES 230
OVERVIEW 230
21.1 INTRODUCTION 231
21.2 THEORETICAL CONSIDERATIONS 233
21.3 EXAMPLES 233
21.4 QUICK METHOD FOR CALCULATING THE CORRELATED ANOVA 241
KEY POINTS 245
COMPUTER ANALYSIS 246
22 TWO-WAY ANALYSIS OF VARIANCE FOR UNRELATED/UNCORRELATED SCORES:
TWO STUDIES FOR THE PRICE OF ONE? 247
OVERVIEW 247
22.1 INTRODUCTION 248
22.2 THEORETICAL CONSIDERATIONS 249
22.3 STEPS IN THE ANALYSIS 251
22.4 MORE ON INTERACTIONS 264
22.5 CALCULATION OF TWO-WAY ANOVA USING QUICK METHOD 266
22.6 THREE OR MORE INDEPENDENT VARIABLES 271
KEY POINTS 274
COMPUTER ANALYSIS 275
23 MULTIPLE COMPARISONS IN ANOVA: JUST WHERE DO THE DIFFERENCES LIE? 276
OVERVIEW 276
23.1 INTRODUCTION 277
23.2 METHODS 278
23.3 PLANNED VERSUS A POSTERIORI (POST HOC) COMPARISONS 279
23.4 THE SCHEFFE TEST FOR ONE-WAY ANOVA 279
23.5 MULTIPLE COMPARISONS FOR MULTIFACTORIAL ANOVA 282
KEY POINTS 283
COMPUTER ANALYSIS 284
RECOMMENDED FURTHER READING 284
24 MIXED-DESIGN ANOVA: RELATED AND UNRELATED VARIABLES TOGETHER 285
OVERVIEW 285
IMAGE 7
24.1
24.2
25
25.1
25.2
26
26.1
26.2
26.3
26.4
27
27.1
27.2
27.3
28
28.1
28.2
28.3
28.4
INTRODUCTION
MIXED DESIGNS AND REPEATED MEASURES
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
ANALYSIS OF COVARIANCE (ANCOVA): CONTROLLING FOR ADDITIONAL
OVERVIEW
INTRODUCTION
ANALYSIS OF COVARIANCE
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
MULTIVARIATE ANALYSIS OF VARIANCE (MANOVA)
OVERVIEW
INTRODUCTION
MANOVA S TWO STAGES
DOING MANOVA
REPORTING YOUR FINDINGS
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
DISCRIMINANT (FUNCTION) ANALYSIS - ESPECIALLY IN MANOVA
OVERVIEW
INTRODUCTION
DOING THE DISCRIMINANT FUNCTION ANALYSIS
REPORTING YOUR FINDINGS
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
STATISTICS AND THE ANALYSIS OF EXPERIMENTS
OVERVIEW
INTRODUCTION
THE PATENT STATS PACK
CHECKLIST
SPECIAL CASES
KEY POINTS COMPUTER ANALYSIS
CONTENTS )
286
286
301 302 302
VARIABLES 303
303
304
305
315 315 316
317
317
318
321
322
328
328 329 329
330
330
331
333
340
340 340 341
342
342
343
343
344
347
347 348
XIII
IMAGE 8
XIV CONTENTS
PART 4 MORE ADVANCED CORRELATIONAL STATISTICS 349
29 PARTIAL CORRELATION: SPURIOUS CORRELATION, THIRD OR CONFOUNDING
VARIABLES, SUPPRESSOR VARIABLES 351
OVERVIEW 351
29.1 INTRODUCTION 352
29.2 THEORETICAL CONSIDERATIONS 353
29.3 THE CALCULATION 355
29.4 INTERPRETATION 356
29.5 MULTIPLE CONTROL VARIABLES 357
29.6 SUPPRESSOR VARIABLES 358
29.7 AN EXAMPLE FROM THE RESEARCH LITERATURE 358
29.8 AN EXAMPLE FROM A STUDENT S WORK 360
KEY POINTS 360
COMPUTER ANALYSIS 361
30 FACTOR ANALYSIS: SIMPLIFYING COMPLEX DATA 362
OVERVIEW 362
30.1 INTRODUCTION 363
30.2 A BIT OF HISTORY 364
30.3 CONCEPTS IN FACTOR ANALYSIS 366
30.4 DECISIONS, DECISIONS, DECISIONS 368
30.5 EXPLORATORY AND CONFIRMATORY FACTOR ANALYSIS 373
30.6 AN EXAMPLE OF FACTOR ANALYSIS FROM THE LITERATURE 375
30.7 REPORTING THE RESULTS 378
KEY POINTS 378
COMPUTER ANALYSIS 379
RECOMMENDED FURTHER READING 379
31 MULTIPLE REGRESSION AND MULTIPLE CORRELATION 380
OVERVIEW 380
31.1 INTRODUCTION 381
31.2 THEORETICAL CONSIDERATIONS 381
31.3 STEPWISE MULTIPLE REGRESSION EXAMPLE 387
31.4 REPORTING THE RESULTS 389
31.5 AN EXAMPLE FROM THE PUBLISHED LITERATURE 390
KEY POINTS 391
COMPUTER ANALYSIS 392
RECOMMENDED FURTHER READING 392
IMAGE 9
CONTENTS
32
32.1
32.2
32.3
32.4
33
33.1
33.2
33.3
33.4
33.5
33.6
33.7
PATH ANALYSIS OVERVIEW
INTRODUCTION
THEORETICAL CONSIDERATIONS
AN EXAMPLE FROM PUBLISHED RESEARCH
REPORTING THE RESULTS
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
THE ANALYSIS OF A QUESTIONNAIRE/SURVEY PROJECT
OVERVIEW
INTRODUCTION
THE RESEARCH PROJECT
THE RESEARCH HYPOTHESIS
INITIAL VARIABLE CLASSIFICATION
FURTHER CODING OF DATA
DATA CLEANING
DATA ANALYSIS
KEY POINTS COMPUTER ANALYSIS
393
393
394
394
401
404
405 406 406
407
407
408
408
410
411
412
413
413
415 415
ASSORTED ADVANCED TECHNIQUES 417J
34 THE SIZE OF EFFECTS IN STATISTICAL ANALYSIS: DO MY FINDINGS MATTER?
OVERVIEW
34.1 INTRODUCTION
34.2 STATISTICAL SIGNIFICANCE
34.3 METHOD AND STATISTICAL EFFICIENCY
34.4 SIZE OF THE EFFECT IN STUDIES
34.5 AN APPROXIMATION FOR NONPARAMETRIC TESTS
34.6 ANALYSIS OF VARIANCE (AN0VA)
KEY POINTS COMPUTER ANALYSIS
35 META-ANALYSIS: COMBINING AND EXPLORING STATISTICAL FINDINGS FROM
PREVIOUS RESEARCH
OVERVIEW
35.1 INTRODUCTION
419
419
420
420
421
422
424
424
425 425
426
426
427
IMAGE 10
CONTENTS
35.2
35.3
35.4
35.5 35.6
35.7
35.8
36
36.1
36.2
36.3
36.4
36.5
37
37.1 37.2
37.3
37.4
38
38.1
38.2
38.3
38.4
THE PEARSON CORRELATION COEFFICIENT AS THE EFFECT SIZE
OTHER MEASURES OF EFFECT SIZE
EFFECTS OF DIFFERENT CHARACTERISTICS OF STUDIES
FIRST STEPS IN META-ANALYSIS
ILLUSTRATIVE EXAMPLE
COMPARING A STUDY WITH A PREVIOUS STUDY
REPORTING THE RESULTS
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
RELIABILITY IN SCALES AND MEASUREMENT: CONSISTENCY AND AGREEMENT
OVERVIEW
INTRODUCTION
ITEM-ANALYSIS USING ITEM-TOTAL CORRELATION
SPLIT-HALF RELIABILITY
ALPHA RELIABILITY
AGREEMENT BETWEEN RATERS
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
CONFIDENCE INTERVALS OVERVIEW
INTRODUCTION
THE RELATIONSHIP BETWEEN SIGNIFICANCE AND CONFIDENCE INTERVALS
REGRESSION
OTHER CONFIDENCE INTERVALS
KEY POINTS COMPUTER ANALYSIS
THE INFLUENCE OF MODERATOR VARIABLES ON RELATIONSHIPS BETWEEN TWO
VARIABLES OVERVIEW
INTRODUCTION STATISTICAL APPROACHES TO FINDING MODERATOR EFFECTS
THE HIERARCHICAL MULTIPLE REGRESSION APPROACH TO IDENTIFYING MODERATOR
EFFECTS (OR INTERACTIONS) THE ANOVA APPROACH TO IDENTIFYING MODERATOR
EFFECTS (I.E. INTERACTIONS)
KEY POINTS COMPUTER ANALYSIS RECOMMENDATION FURTHER READING
428
429
430
431
437
440
441
441 442 442
443
443
444
445
446
447
450
453 454 454
455
455
456
459
462
463
463 464
465
465
466
470
470
480
484 485 485
IMAGE 11
CONTENTS
39 STATISTICAL POWER ANALYSIS: GETTING THE SAMPLE SIZE RIGHT
OVERVIEW
39.1 INTRODUCTION
39.2 TYPES OF STATISTICAL POWER ANALYSIS AND THEIR LIMITATIONS
39.3 DOING POWER ANALYSIS
39.4 CALCULATING POWER
39.5 REPORTING THE RESULTS
KEY POINTS COMPUTER ANALYSIS
PART 6 ADVANCED QUALITATIVE OR NOMINAL TECHNIQUES
40 LOG-LINEAR METHODS: THE ANALYSIS OF COMPLEX CONTINGENCY TABLES
OVERVIEW
40.1 INTRODUCTION
40.2 A TWO-VARIABLE EXAMPLE
40.3 A THREE-VARIABLE EXAMPLE
40.4 REPORTING THE RESULTS
KEY POINTS COMPUTER ANALYSIS RECOMMENDED FURTHER READING
41 MULTINOMIAL LOGISTIC REGRESSION: DISTINGUISHING BETWEEN SEVERAL
DIFFERENT CATEGORIES OR GROUPS
OVERVIEW
41.1 INTRODUCTION
41.2 DUMMY VARIABLES
41.3 WHAT CAN MULTINOMIAL LOGISTIC REGRESSION DO?
41.4 WORKED EXAMPLE
41.5 ACCURACY OF THE PREDICTION
41.6 HOW GOOD ARE THE PREDICTORS?
41.7 THE PREDICTION
41.8 WHAT HAVE WE FOUND?
41.9 REPORTING THE RESULTS
KEY POINTS COMPUTER ANALYSIS
42 BINOMIAL LOGISTIC REGRESSION OVERVIEW
^_
486
486
487
497
499
501
505
506 506
509J
511 511
512
514
521
532
533 533 534
535
535
536
538
539
541
542
543
546
548
549
549 550
551
551
IMAGE 12
XVIII
CONTENTS
42.1 INTRODUCTION
42.2 TYPICAL EXAMPLE
42.3 APPLYING THE LOGISTIC REGRESSION PROCEDURE 42.4 THE REGRESSION
FORMULA
42.5 REPORTING THE RESULTS KEY POINTS COMPUTER ANALYSIS
APPENDICES
APPENDIX A TESTING FOR EXCESSIVELY SKEWED DISTRIBUTIONS APPENDIX BL
LARGE-SAMPLE FORMULAE FOR THE NONPARAMETRIC TESTS
APPENDIX B2 NONPARAMETRIC TESTS FOR THREE OR MORE GROUPS APPENDIX C
EXTENDED TABLE OF SIGNIFICANCE FOR THE PEARSON CORRELATION COEFFICIENT
APPENDIX D TABLE OF SIGNIFICANCE FOR THE SPEARMAN CORRELATION
COEFFICIENT APPENDIX E EXTENDED TABLE OF SIGNIFICANCE FOR THE MEST
APPENDIX F TABLE OF SIGNIFICANCE FOR CHI-SQUARE APPENDIX G EXTENDED
TABLE OF SIGNIFICANCE FOR THE SIGN TEST
APPENDIX H TABLE OF SIGNIFICANCE FOR THE WILCOXON MATCHED PAIRS TEST
APPENDIX I TABLE OF SIGNIFICANCE FOR THE MANN-WHITNEY U-TEST APPENDIX J
TABLE OF SIGNIFICANCE VALUES FOR THE F-DISTRIBUTION
APPENDIX K TABLE OF SIGNIFICANT VALUES OF F WHEN MAKING MULTIPLE F-TESTS
552 556 559
563 564
565 565
566 566 569
571 576 580 584
588 589 592 596 599 602
GLOSSARY
REFERENCES INDEX
606
614
615
|
| any_adam_object | 1 |
| author | Howitt, Dennis Cramer, Duncan 1948- |
| author_GND | (DE-588)141387270 |
| author_facet | Howitt, Dennis Cramer, Duncan 1948- |
| author_role | aut aut |
| author_sort | Howitt, Dennis |
| author_variant | d h dh d c dc |
| building | Verbundindex |
| bvnumber | BV036599159 |
| classification_rvk | CM 4000 |
| ctrlnum | (OCoLC)705715651 (DE-599)BVBBV036599159 |
| discipline | Psychologie |
| edition | 5. ed. |
| format | Book |
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| id | DE-604.BV036599159 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:43:52Z |
| institution | BVB |
| isbn | 9780273734307 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020519710 |
| oclc_num | 705715651 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG DE-703 |
| owner_facet | DE-473 DE-BY-UBG DE-703 |
| physical | XLVI, 624 S. Ill., graph. Darst. |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Prentice Hall |
| record_format | marc |
| spelling | Howitt, Dennis Verfasser aut Introduction to statistics in psychology Dennis Howitt ; Duncan Cramer 5. ed. Harlow ; Munich [u.a.] Prentice Hall 2011 XLVI, 624 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier SPSS (DE-588)4056588-9 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Psychologie (DE-588)4047704-6 gnd rswk-swf Empirische Psychologie (DE-588)4152106-7 gnd rswk-swf Psychometrie (DE-588)4176236-8 gnd rswk-swf Psychologie (DE-588)4047704-6 s Statistik (DE-588)4056995-0 s DE-604 SPSS (DE-588)4056588-9 s Empirische Psychologie (DE-588)4152106-7 s Datenanalyse (DE-588)4123037-1 s Psychometrie (DE-588)4176236-8 s 1\p DE-604 Cramer, Duncan 1948- Verfasser (DE-588)141387270 aut SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020519710&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Howitt, Dennis Cramer, Duncan 1948- Introduction to statistics in psychology SPSS (DE-588)4056588-9 gnd Statistik (DE-588)4056995-0 gnd Datenanalyse (DE-588)4123037-1 gnd Psychologie (DE-588)4047704-6 gnd Empirische Psychologie (DE-588)4152106-7 gnd Psychometrie (DE-588)4176236-8 gnd |
| subject_GND | (DE-588)4056588-9 (DE-588)4056995-0 (DE-588)4123037-1 (DE-588)4047704-6 (DE-588)4152106-7 (DE-588)4176236-8 |
| title | Introduction to statistics in psychology |
| title_auth | Introduction to statistics in psychology |
| title_exact_search | Introduction to statistics in psychology |
| title_full | Introduction to statistics in psychology Dennis Howitt ; Duncan Cramer |
| title_fullStr | Introduction to statistics in psychology Dennis Howitt ; Duncan Cramer |
| title_full_unstemmed | Introduction to statistics in psychology Dennis Howitt ; Duncan Cramer |
| title_short | Introduction to statistics in psychology |
| title_sort | introduction to statistics in psychology |
| topic | SPSS (DE-588)4056588-9 gnd Statistik (DE-588)4056995-0 gnd Datenanalyse (DE-588)4123037-1 gnd Psychologie (DE-588)4047704-6 gnd Empirische Psychologie (DE-588)4152106-7 gnd Psychometrie (DE-588)4176236-8 gnd |
| topic_facet | SPSS Statistik Datenanalyse Psychologie Empirische Psychologie Psychometrie |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020519710&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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