3 - Research Methods Flashcards
4 ways data commonly collected
Child self-reports, parent/teacher reports, psychophysiological observations, behavioral observations
Child self-reports
Information provided by children thru questionnaires or interviews. Often need help or time to answer.
Parent reports
Question is whether these are accurate or reliable. Report recent events more reliably. Negative problems less likely to report. Likely to exaggerate positive.
Teacher reports
Assess children’s relative behavior vs other kids.
Observing children
Can be done either in natural setting or lab. Difficult for observer not to distort participant behavior. Observer bias. Infrequent behaviors of interest may be missed in natural.
Three kinds of sampling vs time
Time sampling - record at regular intervals such as every minute what happens
Focal event sampling - record time and duration of behaviors of interest
Specimen record - record everything that happens
Correlation
Estimate of relationship of two variables. In social development studies coefficients of .2 to .5 are “significant”. Correlation does not equal causation!! 3rd variables. Also if data points represent group averages rather than individuals, relationships within groups may be different than those between. But correlation used because variable manipulation sometimes hard, or starting point of research.
Issues with lab studies
Ecological validity - may not accurately represent real-world processes.
Over-generalizing - tell us what can cause changes, but not what actually do cause changes in natural settings. Only examining behavior right after for instance.
Children behave differently.
Field Experiments
Assessing causal relationships in real world.
Intervention studies
Extension of field experiments - educational. Often with object of improving participants’ lives
Natural experiments
Also called quasi. Measure impact of a naturally occurring event that is assumed to affect lives/development. For example a famine, war, orphanage. The independent variable cannot be controlled; participants cannot be assigned to groups. Can make causality difficult.
Cross-sectional designs
Subjects from different age groups studied simultaneously. Data can be collected in a relatively short time.However, there could be cohort effects - differences related to environment from different times - rather than real developmental change. Cohort less likely when studying people of close age groups
Cohort effect
Possible issue with cross-sectional studies.
Longitudinal designs
One group is studied repeatedly for months or years. Better able to measure stability, developmental change, commonalities between members, individual differences. Can enable researchers to find causality. Costly and difficult to organize though. Selective attrition ->less representative. May produce results that are only relevant to specific group.
Sequential design
Cross-sectional and longitudinal mixup. Recruit several different age groups and follow each repeatedly over long period. Can examine if cohort effects, can make cross-sectional and longitudinal observation at once, less long than longitudinal.