Valentim R. Alferes

SPSS programs for the measurement of nonindependence in standard dyadic designs

Dyadic research is becoming more common in the social and behavioral sciences. The most common dyadic design is one in which two persons are measured on the same set of variables. Very often, the first analysis of dyadic data is to determine the extent to which the responses of the two persons are correlated—that is, whether there is nonindependence in the data. We describe two user-friendly SPSS programs for measuring nonindependence of dyadic data. Both programs can be used for distinguishable and indistinguishable dyad members. Inter1.sps is appropriate for interval measures. Inter2.sps applies to categorical variables. The SPSS syntax and data files related to this article may be downloaded as supplemental materials from brm.psychonomic-journals.org/content/supplemental.

Methods of randomization in experimental design

Chapter 1. Randomized Experiments 1.1 Nature and Structure of Randomized Experiments 1.2 Experimental Design and Validity of Scientific Inferences 1.3 Randomized Experiments and Methods of Randomization 1.4 Terminological and Notational Issues Chapter 2. Between-Subjects Designs Randomization 2.1 Randomization and Local Control 2.2 Completely Randomized Designs 2.3 Restrictedly Randomized Designs: Blocking 2.4 Restrictedly Randomized Designs: Stratifying 2.5 Sequential Assignment and Adaptive Randomization Methods Chapter 3. Within-Subjects Designs Randomization 3.1 Basic Assumptions and Specific Threats to Validity 3.2 Treatment Design and Methods of Randomization 3.3 Random Counterbalancing 3.4 Positional Counterbalancing 3.5 Nonrestricted Sequential Counterbalancing 3.6 Restricted Sequential Counterbalancing 3.7 Factorial Designs Chapter 4. Validity Issues, Analysis Guidelines, and Reporting Standards 4.1 Planning and Monitoring Randomized Experiments 4.2 Analyzing Randomized Experiments 4.3 Reporting Randomized Experiments Appendix 1. Random Numbers Appendix 2. Permutations, Arrangements, and Combinations Appendix 3. Latin Squares