Handbook of multivariate experimental psychology:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York u.a.
Plenum Press
1988
|
| Ausgabe: | 2. ed. |
| Schriftenreihe: | Perspectives on individual differences
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXVIII, 966 S. graph. Darst. |
| ISBN: | 0306425262 |
Internformat
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| 245 | 1 | 0 | |a Handbook of multivariate experimental psychology |c ed. by John R. Nesselroade ... |
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Datensatz im Suchindex
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| adam_text | Titel: Handbook of multivariate experimental psychology
Autor: Nesselroade, John R.
Jahr: 1988
Contents
List of Figures xxv
PART I MULTIVARIATE METHOD AND THEORY CONSTRUCTION
Chapter 1 Psychological Theory and Scientific Method 3
Raymond B. Cattell
1. The Role of Methodology in Science 3
2. Design of This Book 4
3. Some Major Historical Springs of Methodological Tradition 6
4. What Is and What Might Be in Present-Day Research Method Concepts 10
5. The Nature of the Inductive-Hypothetico-Deductive (IHD) Method in Science ... 12
6. Summary 19
References 20
Chapter 2 The Principles of Experimental Design and Analysis in Relation to Theory
Building 21
Raymond B. Cattell
1. The Six Basic Parameters of Experimental Design 21
2. The Logically Possible and Practically Viable Types of Experimental Design 30
3. The Main Methods of Mathematico-Statistical Treatment 33
4. Definition of Theory, Law, Postulate, Hypothesis, and Reversibility-Irreversibility . 40
5. Social and Psychological Influences in the Natural History of Scientific Theory 47
6. The Total Plan: Advantages and Disadvantages Guiding the Choice among Various
Research Procedures 52
7. Creative Scientific Thinking in Relation to Multivariate and Bivariate Procedures .. 56
8. Summary 64
References 66
xviii contents
Chapter 3 The Data Box: Its Ordering of Total Resources in Terms of Possible
Relational Systems 69
Raymond B. Cattell
1. Relational System, Hypothesis, Design, and Method as the Four Panels of the
Investigatory Plan 69
2. The Purpose of Developing the Covariation Chart into the BDRM or Data Box ... 70
3. Two Protoconstructs: Pattern Entity (Vector) and Attribute Scale (Scalar) 74
4. The Ten Coordinates of the Hyperspace BDRM 76
5. The Nature and Definition of a BDRM Facet 87
6. Principles Governing Entries : Aspects and Shifts 90
7. The Numbers and Varieties of Facets, and Associated Techniques 95
8. The Numbers and Varieties of Faces, Frames, and Grids 100
9. The Totality of Possible Direct and Derived Relational Analyses and Techniques .. 105
10. Sources of Variance and Covariance in the Data Box: Observable and Inherent
(Ideal, Conceptual) Sources Contrasted 110
11. Scales and Standardizations: Normative, Ipsative, Abative 116
12. Superordinate Relational and Interactional Analysis Techniques: Including Superset
and Interset Factor Analysis 120
13. Summary, Glossary, and Notation 126
References 129
Chapter 4 The Meaning and Strategic Use of Factor Analysis 131
Raymond B. Cattell
1. Its Role and Relationships among Statistical Methods 131
2. The Basic Mathematical Propositions and Formulations 132
3. Alternative Models: Components and Factors 133
4. Properties and Formulas for the Full Factor Model 136
5. Unique Resolution and the Tests of Its Attainment 140
6. Factor Invariance, Identification, and Interpretation 149
7. Deciding the Number of Factors 157
8. The Reticular and Strata Models for Higher-Order Factors : 168
9. Some Modifications, Developments, and Conditions of the Main Factor Model 176
10. Strategies in the Practical Use of Factor Analysis 183
11. Questions of Statistical Significance and Use of Computer Procedures 192
12. Summary (and Rationale of Notation) 198
References 201
PART II MULTIVARIATE MODELING AND DATA ANALYSIS
Chapter 5 Analysis of Covariance Structures 207
Karl G. Joreskog
1. Introduction 207
2. Some Types of Covariance Structures 208
CONTENTS Xix
3. General Approaches to Analysis of Covariance Structures 216
4. Analysis of the Examples 223
5. Generalizations 226
References 228
Chapter 6 Exploratory Factor Analysis 231
Richard L. Gorsuch
1. Introduction 231
2. Decision Points in Factoring 237
3. Implications: Some Designs for Exploratory Factor Analysis 252
References 257
Chapter 7 Confirmatory Factor Analysis 259
Stanley A. Mulaik
1. Philosophical Contrasts between Exploratory and Confirmatory Factor Analysis ... 259
2. The Fundamentals of Confirmatory Factor Analysis 269
3. Applications for Confirmatory Factor Analysis 277
4. Conclusion 285
References 286
Chapter 8 Multimode Factor Analysis 289
Conrad Wesley Snyder, Jr.
1. Multimode Experimental Design 290
2. Factor-Analytic Developments 290
3. Application: Spectrum of Affect 302
4. Comparisons and Contemplations 312
References 313
Chapter 9 Causal Modeling via Structural Equation Systems 317
P. M. Bentler
1. Introduction 317
2. Structural Equations 319
3. Path Diagrams 321
4. Representation Systems 323
5. Estimation Systems 327
6. Examples 330
7. Future Directions 332
References 333
XX CONTENTS
Chapter 10 Multivariate Analysis of Discrete Data 337
Clifford C. Clogg and James W. Shockey
1. Introduction 337
2. One-Way Tables 343
3. Bivariate Data: Two-Way Tables 346
4. Multiway Tables 355
5. Latent Structure Models 360
6. Conclusion 363
References 364
Chapter 11 Some Multivariate Developments in Nonparametric Statistics 367
Alexander von Eye
1. A Characterization of Nonparametric Statistics 367
2. Multivariate Perspective 372
3. Exploratory Nonparametric Analysis of All Analytical Units 373
4. Exploratory Nonparametric Analysis of Subsets of Analytical Units 379
5. Confirmatory Nonparametric Analysis 386
6. Discussion and Summary 394
References 396
Chapter 12 Multivariate Analysis of Variance 399
Maurice M. Tatsuoka
1. Classical Approach 399
2. General Linear Model Approach 403
3. Significance Tests 411
4. Discriminant Analysis 414
References 418
Chapter 13 Multidimensional Scaling 421
Robert MacCallum
1. Introduction 421
2. Models and Methods 424
3. Important Findings 435
4. Classic Problems in MDS 439
5. Current Issues and Future Directions 441
References 443
Chapter 14 The Methods and Problems of Cluster Analysis 447
Roger K. Blashfield and Mark S. Aldenderfer
1. Introduction to Cluster Analysis 447
2. Cluster Analysis Methods 449
CONTENTS XXI
3. Similarity 457
4. Unresolved Problems of Cluster Analysis 460
5. Final Remarks 469
References 470
Chapter 15 Human Behavior Genetics 475
George P. Vogler and David W. Fulker
1. Introduction 475
2. The Development of Multivariate Human Behavior Genetic Analysis 476
3. Multivariate Generalization of Path Analysis 480
4. Application of Multivariate Path Analysis: Nuclear Family and Twin Design 482
5. Application of Multivariate Path Analysis: Full Adoption Design 494
6. Current Status of Multivariate Human Behavior Genetics 499
7. Multivariate Behavior Genetic Models of Development 500
8. Future Directions: Intergenerational Equilibrium? 501
9. Summary 501
References 501
Chapter 16 Multivariate Reliability Theory: Principles of Symmetry and Successful
Validation Strategies 505
Werner W. Wittmann
1. Introduction 505
2. Basic Concepts of Reliability Theory 508
3. Multivariate Extensions of Reliability Concepts 518
4. Foundations of a General Measurement and Research Strategy Synthesizing the
Experimental and the Psychometric Traditions in Psychology 527
5. Paradoxes Revisited 549
6. Relationships to Other Approaches, Implications, and Conclusions 555
References 557
Chapter 17 Dynamic but Structural Equation Modeling of Repeated Measures Data ... 561
/. /. McArdle
1. Introduction 561
2. Basic Features of a Latent Growth Curve Model 565
3. Dynamic Modeling with Latent Growth Curves 572
4. The Curve-of-Factors Model of Multivariate Growth 580
5. The Factor-of-Curves Model as a Multivariate Alternative 591
6. Discussion of Further Issues 600
7. Appendix: Assorted Technical Issues for LGM Programming 605
References 611
XXU CONTENTS
Chapter 18 N-Way Factor Analysis for Obtaining Personality, Situation, and Test Form
Contributions to a Psychological Response: Illustrated by a Three-Way
Plasmode 615
Raymond B. Cattell, Dan D. Blaine, and Jerry Brennan
1. Three Existing Approaches and Two Possible Models for Representing Environ¬
ment in the Behavioral Equation 615
2. The Utility of Alternative Breakdowns into Contributing Factor Systems 618
3. The Problem of Side Effects in Analysis by Faces 622
4. Numerical, Plasmode Illustration 624
5. Summary 633
6. Appendix: Boundary Values 636
References 640
PART III MULTIVARIATE RESEARCH AND THEORY
Chapter 19 Thinking about Human Abilities 645
John Horn
1. The Many and Few of Human Abilities: Common and Specific 645
2. A Hierarchy of Human Abilities 656
3. Developmental Evidence 669
4. Genetic Evidence and Early Development 676
5. To Come to a Close 680
References 682
Chapter 20 Personality: Multivariate Systems Theory and Research 687
Barry D. Smith
1. Introduction 687
2. Traits, States, and Situations: An Overview 689
3. Multivariate Personality Research: Some Basic Issues 691
4. Classification of Traits 693
5. Primary Source Traits in L- and Q-Data 695
6. Higher-Order Factors 704
7. Objective Test Data 710
8. The Universality of Source Traits 715
9. The Heritability of Personality 720
10. States and Processes 721
11. The Full Specification Equation 724
12. Conclusion 725
13. Summary 725
References 727
Chapter 21 Elucidation of Motivation Structure by Dynamic Calculus 737
Gregory J. Boyle
1. Introduction 737
2. Criticisms of CattelPs Motivation Research 740
contents xxiii
3. Exploratory Factor-Analytic Principles in Motivation Research 742
4. Objective Devices and the Measurement of Motivation Strength Components 745
5. Dynamic Structure of Ergs and Sentiments 753
6. Computation of Ergic Tension Arousal and Sentiment Activation 758
7. Measurement of Dynamic Motivation Structure 760
8. Dynamic Calculus of Conflict 774
9. Structured Learning Theory of Motivation 776
10. Systems Theory Approach to Motivation 780
11. Summary and Conclusions 781
References 782
Chapter 22 Multivariate Approaches to Human Learning 789
Brian Bolton
1. Introduction 789
2. Factor Analysis and Learning 791
3. Structured Learning Theory 797
4. Summary j 815
References 817
Chapter 23 Clinical Psychology: A Multivariate Appraisal 821
LotharR. Schmidt
1. Introduction 821
2. Some General Considerations: Developments and Shortcomings of Research in
Clinical Psychology 822
3. Selected Topics 826
4. Future Directions 856
References 859
Chapter 24 Psychophysiological Processes 867
Jochen Fahrenberg
1. Introduction 867
2. Patterns of Activation 870
3. Personality Traits 885
4. Psychophysiological Research and Applied Areas 892
5. Essentials of Psychophysiological Assessment 894
References • 907
Chapter 25 Organizational Climate 915
S. B. Sells and L. R. James
1. Introduction 915
2. Toward a Theory of Organizational Climate 917
XXIV CONTENTS
3. Measurement Problems and Strategies 924
4. Dimensions of Organizational Climate 925
5. Homogeneity of Climate in Complex Organizations 927
6. Types of Organizational Climate 927
7. Prediction of Organizational Performance Criteria 935
References 936
Chapter 26 Multivariate Analyses of the Sociology of Intelligence 939
Richard Lynn
1. J. B. Mailer: The Sociology of Intelligence in New York, 1930 939
2. C. Burt: Educational Backwardness in London 941
3. E. L. Thorndike: Your City 945
4. K. S. Davenport and H. H. Remmers: Intelligence Differences between the
American States 946
5. R. L. Thorndike: More American Cities 947
6. S. Wiseman: The Manchester Studies 948
7. O. D. Duncan: Path Models in Sociology 950
8. R. Lynn: A Path Model of the Sociology of Intelligence in the British Isles 951
9. R. Lynn: The Sociology of Intelligence in France 958
10. Conclusion 960
References 960
Index 961
List of Figures
Chapter 1
1. The inductive-hypothetico-deductive spiral 17
Chapter 2
1. Plurality of causes and consequences 26
2. Differences of complexity of model to which statistical fit is immediately tested 37
3. Basis of distinction of theoretical concept and empirical construct 44
4. Interdependence of four essential and other definable parts in a scientific investigation 53
5. Possible misleading conclusions from operationally defining a concept by a single variable 63
Chapter 3
1. Possible techniques of relational analysis shown in the simpler context of the three-axis covariation chart .. 71
2. The six correlations in relational matrices and techniques obtainable from the three facets of the three-axis
covariation chart 72
3. Relatives set 1. X s 75
4. Cross-set, mixed, and staggered facets 94
5. Deriving a face from several facets 100
6. Unrolling of a frame into a grid 103
7. Sum and difference faces and regularly staggered facets 107
8. The standardizations over sets which produce normative, ipsative, and abative scores 116
9. Possibilities in rescaling to standard scores 120
10. Illustration of a homogeneous relative grid from unfolding a three-stimulus, four-environment,
five-person frame 123
11. A super-set matrix with persons, states, stimuli, environmental backgrounds, and responses 125
Chapter 4
1. The matrix multiplications relating the reduced correlation matrix to the factor pattern 133
2. Relation of loadings, etc., on reference vectors and factors, in two dimensions 138
3. Matrix operations for obtaining factor standard scores 139
4. Two empirical examples of simple structure 142
XXvi LIST OF FIGURES
5. Simple structure, obtained obliquely, unobtainable orthogonally 144
6. Extracted distributions of factor variance before and after rotation 160
7. Ideal and empirical diagrams of the scree test 163
8. Some major models for the relations among factors 171
9. Relation of operations revealing factor order to inferences about factor strata 173
Chapter 6
1. Sec as a function of number of variables, mean correlation (/¦ ), and proportion of variance extracted (p).. 245
Chapter 7
1. Path diagram for model of ratings of nurses supportiveness behavior in a patient interview 281
Chapter 8
1. Three-mode data design 290
2. parafac analysis 294
3. tuckals3 analysis 301
4. parafac solution for the affective adjectives mode 305
5. Configuration of the semantic differential adjectives with both poles represented 306
6. cosan solution for the affective adjectives mode 307
7. cosan factor score means for the Complex and Pleasant factors plotted across tasks, ordered in terms of the
level of Assimilation Resistance each task represents 307
8. parafac solution for the problem-solving tasks mode 310
Chapter 9
1. mimic model for the six measured variables V1-V6 321
2. Latent variable model for the six measured variables Vi-V6 322
3. Matrix path representation of the Bentler-Weeks model 325
4. Matrix path representation of the Joreskog-Keesling-Wiley model, using lisrel v symbolic notation 325
Chapter 13
1. Two-dimensional stimulus configuration for color data 423
Chapter 15
1. Path model of correlated genetic and environmental influences on a phenotype 476
2. Path model of genetic and environmental influences on two phenotypes (X and Y) measured on the same
individual 477
3. General multivariate model of parent-offspring resemblance: Simplest case 484
4. General multivariate model of parent-offspring resemblance in the presence of genotype-environment
correlation 484
5. General multivariate model of parent-offspring resemblance in the presence of genotype-environment
correlation and cultural transmission 485
6. General multivariate model of parent-offspring resemblance in the presence of genotype-environment
correlation, cultural transmission, and assortative mating 486
7. General multivariate model of familial resemblance in nuclear families and twins 487
8. General multivariate model of familial resemblance in families of an adopted child 496
9. General multivariate factor model defining the genotype and environment in terms of latent genetic and
environmental factors 499
LIST OF FIGURES XXVli
Chapter 16
1. Odd-even and split-half reliabilities of diverse mood scales as a function of aggregation 519
2. Unfolding the three-dimensional data box 521
3. The four-data-box conceptualization 528
4. Variance pie; partitioning the ETR-box according to Cohen and Cohen s subjects within groups by
conditions-design . 531
5. The generalized hierarchical lens model for denoting symmetry between predictors and criteria 538
6. Eysenck s hierarchical personality model in lens-model frameworks 543
7. Jager s two-mode classification of 48 intelligence tests 546
Chapter 17
1. Mean raw scores for eight WISC-Scales as a function of group age at four occasions 562
2. A ram path diagram of the latent growth curve model parameters estimated from WISC-Total score
moments 568
3. Raw-score expectations from the latent growth curve model fitted to the WISC-Total scores 571
4. Alternative dynamic growth model loadings 577
5. A generic curve-of-factor scores or cuffs model 585
6. The cuffs latent response surface estimated from the WISC-Scale cross products 591
7. A generic factor-of-curve scores or focus model 593
8. Model comparison indices for selected multivariate latent growth models of the WISC-Scales 598
Chapter 18
1. Score matrix for a three-way factor analysis 617
2. Facets, faces, and files as derivative matrices from the data box 620
3. Face A, B, and C scree plots 628
4. Three-way data box 639
Chapter 19
1. Human abilities are many and varied 646
2. Hierarchical model of the WAIS 654
3. Adulthood age differences in dimensions of human intellect 669
4. Quadratic factor score curves predicted from model 670
5. Quadratic factor score curves predicted from education-partialed model 670
6. Nonlinear age and education growth curves for factors 671
7. Plot of repeated-measures WAIS studies group means 672
8. Multiple group factor means and variances from WAIS as a function of age groups in census sample 673
9. Aging decline of CDS and Gf 674
10. Aging decline of Gf after control for component processes 674
11. A genetical model for Gf and Gc 679
Chapter 20
1. Main model and mode of calculation of higher-order factors 706
2. Relationship among primary, second-order, and third-order factors extracted from the objective test
(T-data) battery 712
Chapter 21
1. The structure of second-order motivation components, U and I 750
2. Activation level of U and I dynamics in relation to significance of correlations with 8SQ states 773
3. vnjAs systems theory model of total personality process in adjustive action 778
XXVlii LIST OF FIGURES
Chapter 22
1. Loadings of trials on the three reference learning curves 794
2. Path learning analysis for trait vector changes 805
3. Path learning analysis for behavioral index changes 806
4. The adjustment process analysis chart 807
5. Chronic illness versus no chronic illness 809
6. Church membership: Active versus nonmembers 810
Chapter 23
1. Framework of the Patient Evaluation Grid 829
2. A grid model for theory and research in the psychotherapies 847
3. Variables of therapists, clients, and some interactions 848
4. Correlations and hypothesized causal path coefficients among dynamic traits 853
Chapter 24
1. Range of an activation parameter as a methodological problem in adequate scaling of observed reactions .. 897
Chapter 26
1. Path model of hypothesized causal chain linking father s education and occupation through intervening
variables to child s occupational status and income 950
2. Mean IQ of populations in the regions of the British Isles 952
3. The British Isles. Path model showing hypothesized causal chain linking historical net migration to
contemporary mean IQs, to various economic and social outputs 957
4. France. Path model showing hypothesized causal chain linking historical net migration to contemporary
mean population IQs, to four economic and social output variables 959
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| id | DE-604.BV003544414 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T16:01:38Z |
| institution | BVB |
| isbn | 0306425262 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-002252802 |
| oclc_num | 17675338 |
| open_access_boolean | |
| owner | DE-384 DE-473 DE-BY-UBG DE-703 DE-355 DE-BY-UBR DE-20 DE-29 DE-706 DE-83 DE-188 |
| owner_facet | DE-384 DE-473 DE-BY-UBG DE-703 DE-355 DE-BY-UBR DE-20 DE-29 DE-706 DE-83 DE-188 |
| physical | XXVIII, 966 S. graph. Darst. |
| publishDate | 1988 |
| publishDateSearch | 1988 |
| publishDateSort | 1988 |
| publisher | Plenum Press |
| record_format | marc |
| series2 | Perspectives on individual differences |
| spelling | Handbook of multivariate experimental psychology ed. by John R. Nesselroade ... 2. ed. New York u.a. Plenum Press 1988 XXVIII, 966 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Perspectives on individual differences Multivariate analyse gtt Psychologie différentielle - Méthodes statistiques Psychologie différentielle - Recherche - Méthodologie Psychologie expérimentale - Méthodes statistiques Psychologie expérimentale - Méthodologie Difference (Psychology) Research Methodology Difference (Psychology) Statistical methods Psychology, Experimental Psychology, Experimental Methodology Psychology, Experimental Statistical methods Experimentelle Psychologie (DE-588)4016005-1 gnd rswk-swf Psychologie (DE-588)4047704-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Experimentelle Psychologie (DE-588)4016005-1 s Statistik (DE-588)4056995-0 s DE-604 Psychologie (DE-588)4047704-6 s Multivariate Analyse (DE-588)4040708-1 s Nesselroade, John R. 1936- Sonstige (DE-588)106494664X oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002252802&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Handbook of multivariate experimental psychology Multivariate analyse gtt Psychologie différentielle - Méthodes statistiques Psychologie différentielle - Recherche - Méthodologie Psychologie expérimentale - Méthodes statistiques Psychologie expérimentale - Méthodologie Difference (Psychology) Research Methodology Difference (Psychology) Statistical methods Psychology, Experimental Psychology, Experimental Methodology Psychology, Experimental Statistical methods Experimentelle Psychologie (DE-588)4016005-1 gnd Psychologie (DE-588)4047704-6 gnd Statistik (DE-588)4056995-0 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| subject_GND | (DE-588)4016005-1 (DE-588)4047704-6 (DE-588)4056995-0 (DE-588)4040708-1 |
| title | Handbook of multivariate experimental psychology |
| title_auth | Handbook of multivariate experimental psychology |
| title_exact_search | Handbook of multivariate experimental psychology |
| title_full | Handbook of multivariate experimental psychology ed. by John R. Nesselroade ... |
| title_fullStr | Handbook of multivariate experimental psychology ed. by John R. Nesselroade ... |
| title_full_unstemmed | Handbook of multivariate experimental psychology ed. by John R. Nesselroade ... |
| title_short | Handbook of multivariate experimental psychology |
| title_sort | handbook of multivariate experimental psychology |
| topic | Multivariate analyse gtt Psychologie différentielle - Méthodes statistiques Psychologie différentielle - Recherche - Méthodologie Psychologie expérimentale - Méthodes statistiques Psychologie expérimentale - Méthodologie Difference (Psychology) Research Methodology Difference (Psychology) Statistical methods Psychology, Experimental Psychology, Experimental Methodology Psychology, Experimental Statistical methods Experimentelle Psychologie (DE-588)4016005-1 gnd Psychologie (DE-588)4047704-6 gnd Statistik (DE-588)4056995-0 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | Multivariate analyse Psychologie différentielle - Méthodes statistiques Psychologie différentielle - Recherche - Méthodologie Psychologie expérimentale - Méthodes statistiques Psychologie expérimentale - Méthodologie Difference (Psychology) Research Methodology Difference (Psychology) Statistical methods Psychology, Experimental Psychology, Experimental Methodology Psychology, Experimental Statistical methods Experimentelle Psychologie Psychologie Statistik Multivariate Analyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002252802&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT nesselroadejohnr handbookofmultivariateexperimentalpsychology |