Book contents
- Frontmatter
- Contents
- Preface
- List of contributors
- Introduction
- Part I Research on interpersonal expectations
- Part II Research on the mediation of interpersonal expectations through nonverbal behavior
- Part III The study of interpersonal expectations
- 17 The methodological imagination: Insoluble problems or investigable questions?
- 18 Issues in studying the mediation of expectancy effects: A taxonomy of expectancy situations
- 19 Analysis of variance in the study of interpersonal expectations: Theory testing, interaction effects, and effect sizes
- 20 Statistical tools for meta-analysis: From straightforward to esoteric
- 21 The volunteer problem revisited
- 22 Assessment and prevention of expectancy effects in community mental health studies
- 23 Comment: Never-ending nets of moderators and mediators
- Author index
- Subject index
- Studies in Emotion and Social Interaction
22 - Assessment and prevention of expectancy effects in community mental health studies
from Part III - The study of interpersonal expectations
Published online by Cambridge University Press: 23 December 2009
- Frontmatter
- Contents
- Preface
- List of contributors
- Introduction
- Part I Research on interpersonal expectations
- Part II Research on the mediation of interpersonal expectations through nonverbal behavior
- Part III The study of interpersonal expectations
- 17 The methodological imagination: Insoluble problems or investigable questions?
- 18 Issues in studying the mediation of expectancy effects: A taxonomy of expectancy situations
- 19 Analysis of variance in the study of interpersonal expectations: Theory testing, interaction effects, and effect sizes
- 20 Statistical tools for meta-analysis: From straightforward to esoteric
- 21 The volunteer problem revisited
- 22 Assessment and prevention of expectancy effects in community mental health studies
- 23 Comment: Never-ending nets of moderators and mediators
- Author index
- Subject index
- Studies in Emotion and Social Interaction
Summary
“You still haven't evaluated your specific hypothesis because your F test has numerator df greater than 1.”
“Examining only the overall cell means in your multifactorial ANOVA will mislead you about the interpretation of interaction effects?”
“I know that your test statistic was significant at p< 05. But what was the size of the effect?”
“If the project was worth doing, it's worth publishing.”
At the risk of causing readers to wonder about the state of my mental health, I admit to hearing statements such as these knocking about in my head - statements gleaned from many interactions with Bob Rosenthai during my tenure as a graduate student at Harvard. I now make these comments, and similar others, to my own students and colleagues. Bob served as a mentor to me in the domain of quantitative methods, and I continue to be heavily influenced by his approach to research: by his delineation of the types of controls needed to reduce experimenter effects and other artifacts in behavioral research, by his zest for plunging into new areas of methodology and statistics, and by his concern for external as well as internal validity in empirical research.
In the present chapter, I would like to take up the issue of experimenter effects - and experimenter expectancies in particular - in the context of an applied area of research that heavily utilizes nonlaboratory, field interviewing. Specifically, I focus on the nature and manner by which researchers survey mental health in the community, and on difficulties and rewards encountered in such field interviewing when we attempt to limit the many ways in which researchers can inadvertently influence individuals' responses.
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- Information
- Interpersonal ExpectationsTheory, Research and Applications, pp. 437 - 453Publisher: Cambridge University PressPrint publication year: 1993
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