How Do I Love Thee? Let Me Consider My Options Cognition,Verbal Strategies,and the Escalation of Intimacy

Previous research has revealed that individuals have expectations for the development of romance based on personal experience and cultural images. A series of research questions and hypotheses was generated and a sequence of hierarchical log-linear analysis models axis developed to test (a) the effect of gender and knowledge of relational stage and relationship type on prediction of next-occurring actions in the development of a romance, (b) the use of compliance-gaining strategies intended to advance a relationship to the next stage, and (c) justification of secondary goals in which participants reported why they chose the strategies they did as opposed to other alternatives. The data revealed effects for relational stage progression on prediction of ensuing actions. Ingratiation, explanation, and direct requests were popular strategies for developing intimacy. Gender differences in terms of secondary goals were reported. Results are discussed in terms of relational memory structures for the development of intimacy.     

Choosing Between Parametric and Nonparametric Tests

A fundamental analysis decision confronting researchers in psychology and education is the choice between parametric and nonparametric tests. Despite the statistical and substantive implications of this important decision, many researchers unerringly employ parametric tests and thus ignore the advantages of their nonparametric counterparts. One justification for this behavior has been the absence of guidelines for choosing between these procedures. A second has been the lack of a comprehensive nonparametric test that is computationally manageable. In this article, the author discusses several statistical and substantive criteria that can be used to choose between parametric and nonparametric tests. A non-parametric test capable of testing a number of statistical hypotheses using existing computer packages is also presented. Recommendations are made encouraging researchers to routinely use nonparametric tests in their data analytic work.     

Bias in the Counseling Process: How to Recognize and Avoid It

Counselors' vulnerability to inferential bias during the counseling process may result in misdiagnosis and improper interventions. This article provides readers with information regarding inferential bias. The inferential biases discussed include (a) availability and representativeness heuristics; (b) fundamental attribution error; (c) anchoring, prior knowledge, and labeling; (d) confirmatory hypothesis testing; and (e) reconstructive memory. Each bias is described and illustrated through fictitious case vignettes, and suggestions concerning what precautions counselors may do to avoid each type of bias are presented.