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Dyadic data analysis

Author: Kenny, David A. ; Kashy, Deborah A. ; Cook, William L. Series: Methodology in the social sciences Publisher: Guilford Press 2006.Language: EnglishDescription: 458 p. : Ill. ; 24 cm.ISBN: 9781572309869Type of document: BookBibliography/Index: Includes bibliographical references and index
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Item type Current location Collection Call number Status Date due Barcode Item holds
Book Asia Campus
Main Collection
Print H61.25 .K46 2006
(Browse shelf)
900181433
Available 900181433
Book Europe Campus
Main Collection
Print H61.25 .K46 2006
(Browse shelf)
001254419
Available 001254419
Total holds: 0

Includes bibliographical references and index

Digitized

Contents Dyadic Data Analysis Dyadic Data Analysis 1 Basic Definitions and Overview Nonindependence / 4 Basic Definitions / 6 ~istinguishabilit~' 6 / Between-Dyads, Within-D.yads, and Mixed Variables / 7 Level o j Measurement / 9 Idiographic and Nomothetic Analyses / 10 Dyadic Designs / 11 Data Organization / 14 Standard Design 1 14 Other Designs / 19 A Database of Dyadic Studies / 20 Overview of the Book / 21 Summary and Conclusions / 23 2 The Measurement of Nonindependence Interval Level of Measurement / 27 Distinguishable Members / 27 Indistinguishable Members / 32 Categorical Measures / 40 Distinguishable Members / 40 Indistinguishable Members / 42 Consequences of Ignoring Nonindependence / 43 What Not to Do / 46 Power Considerations / 48 Power of the Test of r 1 48 Power of Kappa 1 50 Summary and Conclusions / 5 1 3 Analyzing Between- and Within-Dyads lndependent Variables lnterval Outcome Measures and Categorical lndependent Variables / 54 One Between-Dyads Independent Variable / 54 Multiple Between-Dyads lndependent Variables / 60 One Within-Dyads Independent Variable / 61 Multiple Within-Dyads Variables / 65 One Between-Dyads and One Within-Dyads Variable / 67 General Case / 69 lnterval Outcome Measures and Interval lndependent Variables / 70 Between-Dyads lndependent Variable / 70 Within-Dyads lndependent Variable / 72 General Case 1 74 Categorical Outcome Variables / 74 Within-Dyads lndependent Variable / 74 Between-Dyads Independent Variable / 75 Summary and Conclusions / 75 4 Using Multilevel Modeling to Study Dyads Mixed-Model ANOVA / 79 Multilevel-Model Equations / 82 Multilevel Modeling with Maximum Likelihood / 85 Adaptation of Multilevel Models to Dyadic Data / 87 Computing the Intraclass Correlation and Variance Explained with Multilevel Models / 93 Random Effects with Dyads / 95 Distinguishable Dyads / 95 Summary and Conclusions / 98 5 Using Structural Equation Modeling to Study Dyads Steps in SEM / 10 1 Specification / 101 Identification / 102 Estimation / 103 Testing / 104 Confirmatory Factor Analysis / 106 Path Analyses with Dyadic Data / 108 SEM for Dyads with Indistinguishable Members / 111 Model Fit and Model Comparisons / 113 Example / 114 Double-Entry Method / 116 Summary and Conclusions / 116 6 Tests of Correlational Structure and Differential Variance Distinguishable Dyads / 121 Equality of Variances / 121 Equality of Correlations / 122 Latent-Variable Correlations / 127 Omnibus Test of Distinguishability / 129 Categorical Variables 1 131 Indistinguishable Dyads I 135 Correlations / 136 Latent Variable Correlations / 139 Comparing Intraclass Correlations / 140 Variances / 141 Summary and Conclusions / 141 7 Analyzing Mixed Independent Variables: The ActorParh.rer Interdependence Model The Model / 145 Conceptual Interpretation of Actor and Partner Effects / 147 The Relative Size of Actor and Partner Effects / 147 o Partner-Oriented Interaction Effects / 149 Actor-Partner Interactions / 150 Estimation of the APIM: Indistinguishable Dyad Members / 152 Pooled-Regression Method / 152 Estimating the APIM with Multilevel Analysis 1 158 Estimating the APIM with SEM 1 168 Estimation of the APIM: Distinguishable Dyads / 170 Pooled-Regression Method / 170 Multilevel Modeling / 173 Structural Equation Modeling / 178 Power and Effect Size Computation / 179 Specification Error in the APIM 1 181 Summary and Conclusions / 182 8 Social Relations Designs with Indistinguishable Members The Basic Data Structures 1 188 Round-Robin Design / 188 Block Design / 189 Block-Round-Robin Designs / 190 Other Designs / 190 Model 1 191 The SRM Components / 191 Estimation of SRM Effects / 194 The SRM Variances / 198 The SRM Reciprocity Correlations / 204 Self-Actor and Self-Partner Correlations / 208 Actor and Partner Correlations with Individual-D@erence Variables / 209 Dyadic Analysis of Relationship Effects / 21 0 Multivariate Correlations / 21 0 Details of an SRM Analysis / 21 1 Software / 21 1 Statistical Issues / 212 Significance Testing / 213 Power / 214 Model Assumptions / 215 Social Relations Analyses: An Example / 218 Summary and Conclusions / 221 9 . Social Relations Designs with Roles SRM Studies of Family Relationships / 224 Design and Analysis of Studies / 225 The Model / 226 The Components / 227 Generalized and Dyadic Reciprocity 1 228 Estimation of Variance in the SRM with Roles / 228 Family Subsystems / 229 Application of the SRM with Roles Using Confirmatory Factor Analysis / 231 The Four-Person Design / 234 The Base Model / 235 Illustration of the Four-Person Family Design / 239 Model Evaluation / 240 Parameter Estimates / 240 Respecifications of the Base Model / 243 The Three-Person Design / 245 Base Model / 245 Illustration / 248 Alternative Three-Person Models / 250 Multiple Perspectives on Family Relationships / 252 Means and Factor Score Estimation / 253 Constraints on the SRM Effects / 257 Estimation oj SRM Effects for a Particular Family / 258 Power and Sample Size / 259 Summary and Conclusions / 260 10 One-with-Many Designs Design Issues 1 264 Measuring Nonindependence 1 267 lndistinguishable Partners / 267 Distinguishable Partners / 269 The Meaning of Nonindependence in the One-with-Many Design / 271 Univariate Analysis with Indistinguishable Partners / 272 Naive Analysis / 273 Between-Within Analysis / 275 Multilevel Analysis / 277 Univariate Estimation with Distinguishable Partners / 284 Repeated-Measures Analysis of Variance and MANOVA / 284 Multilevel Analysis / 285 Structural Equation Modeling / 287 The Reciprocal One-with-Many Design / 290 Indistinguishable Partners / 290 Distinguishable Partners / 293 Summary and Conclusions / 294 1 1 Social Network Analysis Definitions / 296 The Representation of a Network / 298 Network Measures / 301 Centrality / 301 Reciprocity / 304 Triads / 305 Subgroups / 306 Density / 309 The p, Model / 309 The Model / 309 Relation to the SRM / 313 Another Look at the Sampson Data / 314 Summary and Conclusions / 3 14 12 Dyadic Indexes ltem Measurement Issues / 319 Measures of Profile Similarity / 321 Types / 321 Which Measure to Use? / 325 Mean and Variance of the Dyadic lndex / 327 Average Measure / 327 Tests of Heterogeneity / 328 Stereotype Accuracy / 330 Differential Endorsement of the Stereotype / 334 Pseudo-Couple Analysis / 335 ldiographic versus Nomothetic Analysis / 337 Illustration / 338 Summary and Conclusions / 340 13 Over-Time Analyses: Interval Outcomes Cross-Lagged Regressions / 344 Analysis Model / 347 Computer Programs / 348 Example / 351 Over-Time Standard APIM / 356 Specification of Error Structure / 357 Measuremenl of the Causal Variable / 358 Example / 358 Growth-Curve Analysis / 359 Definition of Time Zero / 360 Functional Form / 360 Structural Equation Modeling / 363 Multilevel Modeling / 367 General Error Models / 368 Example / 369 Cross-Spectral Analysis / 370 Nonlinear Dynamic Modeling / 376 Summary and Conclusions / 378 14 Over-Time Analyses: Dichotomous Outcomes Sequential Analysis / 383 The Model / 384 Illustration / 386 Statistical Analysis of Sequential Data: Log-Linear Analysis / 388 Logit Model / 389 Significance Testing and Aggregation across Dyads / 392 The Assumption of Stationarity in Time-Series Analysis / 394 Beyond the Basic Analysis / 395 Statistical Analysis of Sequential Data: Multilevel Modeling / 396 Event-History Analysis / 399 Censored Scores / 403 Individual-Level Events / 403 Discrete Analysis / 403 Summary and Conclusions / 404 15 Concluding Comments Specialized Dyadic Models / 406 Mutual Influence / 406 Common-Fate Models / 409 Going Beyond the Dyad / 413 Triads / 413 Groups / 41 4 Network Autocorrelation / 414 Conceptual and Practical Issues / 416 The Meaning of Nonindependence / 41 6 Design and Measurement Issues in Dyadic Research / 420 Recruitment and Retention / 421 The Seven Deadly Sins of Dyadic Data Analysis / 421 The Last Word / 424 References Index 427 445 Web address for the authors' data and computer files and other resources: http://davidakenny.net/kkc.htm

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