Chapter 3 - Sex Research Methods Flashcards
examples of challenges when studying human sexuality
finding honest and willing participants; finding a representative sample; avoiding bias; finding an appropriate research method
early texts (historical overview of SRM)
sex manuals are detailed descriptions of how sexuality was viewed in the past ex. Kama Sutra (2nd century) & The Perfumed Garden for the Soul’s Recreation (16th century; some texts promoted sex for recreation purposes only
modern texts (historical overview of SRM)
First modern scientific text: Psychopathia Sexualis by Richard von Krafft‐Ebing (1886)
Iwan Bloch’s The Sexual Life of our Time in Its Relations to Modern Civilization
Early 20th century saw the publication of sex manuals written by women.
– E.g. Margaret Sanger’s What Every Woman Should Know
Alfred Kinsey
first sex researcher to conduct large scale analytic studies of sexual behaviour in NA
Criticisms of Kinsey’s work
oversampling of white men and women; use of non-random samples; possible inaccuracies in the reported prevalence of various behaviours/disorders; emphasized sexual behaviour rather than how one experiences their own sexuality
Masters and Johnson
conducted the first systemic, large scale study of human sexual response starting in the late 1950s
Qualitative research approaches
research methods that use flexible, open‐ended questions to explore sexual issues
Quantitative research approaches
research methods that explore sexual issues using methods that measure and organize phenomena
descriptive designs
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direct observation (descriptive designs)
observing and recording patterns in behaviour either in a natural setting or in a lab
strengths: possibility for increased ecological validity, possibility for lessened observer memory bias
weaknesses: researcher cannot manipulate or influence behaviours of interest; interpretation
interviews (descriptive designs)
to collect detailed self-report data about an individual’s experience and/or perceptions of sexuality; detailed account; weaknesses: memory bias, responder bias
case studies (descriptive designs)
examines a single individual, event, or group, over a period of time; can provide a detailed longitudinal account
weaknesses: interpretation bias, poor generalizability; lack of control group
content analysis (descriptive designs)
allows researchers to identify themes or meanings in a text or set of observations; can often relate these patterns or themes to predetermined theories; weakness: findings are hard to quantify
Correlational Designs
examines the strength of the relationship between two or more variables; relationships can be pos neg or non-existent; weaknesses: findings may be hard to interpret due to confounding variables; causation cannot be inferred
surveys (correlational designs)
collecting info through standardized or unstandardized questionnaires
strengths: anonymity, can be large and inexpensive
weaknesses: memory bias; responder bias; influences from demand characteristics