Research Methods
Research Methods in Human Sexuality
Operational Definitions of Sex
Researchers must operationally define sex before designing studies.
Considerations include:
Masturbation
Heterosexual intercourse
Oral sex
Anal sex
The definition is determined by the researcher.
Surveys: Questionnaires
Written format.
Pros:
Cheap and quick for large data collection.
Can gather data from more people than lab or case studies.
Cons:
Non-response: incomplete or skipped questions; reasons are unclear.
Volunteer bias: participants often younger, more liberal, male, highly educated, sexually experienced, with more partners and frequent sex.
Difficulty understanding terms.
Requires literacy.
Social desirability bias: answering to seem socially acceptable.
Surveys: Interviews
Spoken format.
Advantages:
Terms can be explained.
Clarification is possible.
Rapport can be developed, encouraging answers to sensitive questions.
Follow-up questions can be asked.
Literacy not required.
Disadvantages:
Interviewer bias: influence due to interviewer's characteristics (physical or psychological).
Costly and time-consuming.
Requires extensive training to minimize bias.
Direct Observation
Researchers watch ongoing behavior.
Types:
Naturalistic: in the natural environment.
Laboratory: in a controlled setting (e.g., Masters and Johnson).
Laboratory Observation:
Participants brought into a lab.
Behavior is observed and recorded, sometimes with physiological equipment.
Advantages:
Eliminates data falsification.
Video recording allows for later review and coding of behaviors.
Disadvantages:
Participant reactivity (demand characteristics) due to being watched.
Researcher bias: seeing what they want to see, confirming hypotheses.
Volunteer bias: participants may differ systematically from non-participants.
Case Studies
In-depth study of an individual or small group, typically unique.
Data collected is rich and detailed, including feelings, behaviors, and past experiences.
Collaterals (connected individuals) can provide additional information.
Flexibility in data gathering.
Disadvantages:
Limited generalizability due to small sample size.
Fallibility of memory.
Not suitable for many research questions.
Correlational Studies
Measures two variables to determine if they are related; no manipulation.
Types of correlation:
Positive: variables move in the same direction.
Negative: as one variable increases, the other decreases.
Zero: no relationship.
Cannot determine cause and effect.
Advantage: Can gather data from large groups.
Disadvantage: Third variable problem.
A third variable creates the relationship between the two original variables. For example, the number of words a person has in their vocabulary and show size:
The third variable in age.
True Experiment
Two essential criteria:
Random assignment to experimental or control groups.
Researcher manipulates an independent variable and measures a dependent variable.
The only design to determine cause and effect.
Quasi-experimental designs: groups are self-selected; cannot determine cause and effect, but findings can still be helpful.
Example: Studying the effect of sexual fantasy on the sex lives of women who experienced chemotherapy due to breast cancer.
A quasi-experimental design as assigning someone cancer would be unethical.
Advantages:
Can determine cause and effect.
Disadvantages:
Artificiality of the laboratory.
Some questions don't lend themselves to experiments.
Ethical Issues
All research must be approved by the Institutional Review Board (IRB).
Ensuring studies are ethical and not harmful to participants.
Informed consent: participants should know what they will be doing.
Debriefing: informing participants about the study after completion.
Deception: if used, must be disclosed and explained during debriefing.
Avoid painful or stressful situations (unless benefits outweigh risks).
The IRB weighs whether or not a study will harm an individual; if so, that study will not be approved.
The IRB determines whether or not what you are trying to find out will benefit science and if it's worth any risk that a participant might take by participating in a study.
It also determines for sure that a participant will not feel badly about himself or herself after completing the study.