PSYCH 100B Midterm 1 Chapter 6 Terms

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true experiment

an experiment in which the researcher has complete control over the manipulation of the IV.

experimental control

holding constant as many extraneous variables as possible

random assignment

a process used to produce random, and hopefully equivalent, groups by ensuring that any extraneous influence is as likely to affect one group as it is the other and thereby hold it constant.

quasi experiment

when the experimenter cannot use random assignment to make groups equivalent because they select levels of the IV, not manipulate it. This happens when the IV's not manipulable, like race, gender or age.

single-factor experiment

an experiment with one IV.

multifactorial designs

an experiment with more than one IV.

condition

the particular way in which participants are treated.

experimental group/treatment group

group that is given the level of IV of interest

control group

provides a means to determine changes that might occur naturally in the absence of treatment

posttest

a measure of the outcome in both groups after the experimental group has received treatment. All true experiments have this.

pretest

a measure of the DV before experimental intervention. All true experiments have this.

between-subjects design

independent groups receive different levels of the IV

within-subjects design

all research participants receiver all levels of the IV

randomized comparative change design/ pretest-post-test control group design

a randomized experimental design with a pretest and posttest.

matching

a procedure used to equate groups, but is a poor substitute for randomization. Pair people in control and treatment group on basis of similarity in gender, age, etc. Because unmatched characteristics can skew results and there are only so many characteristics you can match in two individuals, if matching is used instead of random assignment it becomes quasi-experimental; not a true experiment.

matched-pair design

matching combined with random assignment. Used in between-subject studies, create pairs of participants matched on a variable that's strongly related to the DV. Each pair is split up and assigned to either control or treatment group.

counterbalancing

technique to control for order of treatments. More effective than randomization because ensures e/ treatment/level of IV occurs in all combinations.

internal validity

the extent to which the systematic manipulation of one or more IV's produces the predicted/hypothesized effect on the DV.

design sensitivity

the extent to which a researcher has constructed the best possible study to evaluate the topic under investigation.

null result

occurs when an IV fails to produce any effect on the DV.

demand characteristics

include subject roles/biases, experimenter effects. Threat to internal validity.

double-blind procedure

both experimenter and participant are deliberately kept blind to the conditions of study.

statistical control

to quantify the effects of variables that cannot be randomized but are known to be strongly related to the DV.

ANOVA

statistical technique which allows the researcher to test whether a difference on the dependent measure exists, even after controlling or co-varying.

statistical significance

the likelihood that the observed effect revealed by data analysis could be due to chance.

effect size

the strength of the relationship of the IV on the DV.

null hypothesis

the hypothesis of no difference or no relationship which the researcher tries to reject, nullify or disprove.

research hypothesis/alternative hypothesis

predicts a certain relationship typically on the basis of theory.

Type 1 error

when the null hypothesis is wrongly rejected. Type 1 error= stat. significance/alpha.

Type 2 error

when the null hypothesis is wrongly accepted. Type 2 error= beta/ power. Usually occurs when sample size is small and relationship between IV and DV is not revealed.

external validity

the extent to which results of a particular study that involves a sample of subjects will generalize to the wider population.

random sampling

tool for maximizing generalizability.

ecological validity

form of external validity concerned with the real-life impact of results generated from studies.

spurious relationship

when a correlation between two variables might be caused by something other than an effect of the presumed IV on the DV.

ecological fallacy

when you make conclusions about an individual based only on analyses of group data.

reductionist fallacy

when you make conclusions about a group based only on analyses of individual data.

experimental error

any influence on the DV that isn't solely to the changes in the IV.

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