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61 Cards in this Set

  • Front
  • Back

Validity

really testing what is being done

construct validity

is the theory the best explanation for the results?

internal validity

is the independent variable responsible for the observed changes in the dependent variable?

external validity

do the results apply to the broader population?

statistical validity

are the statistical tests accurate?

ecological validity

are the methods used for the study the most appropriate for the real world?

maturation

participants may change over the course of the study (ex; age)

history

changes that occur in or out of the experimental study that effect results

testing

changes due to the effects of previous testing

instrumentation

any change in the calibration of the measuring instrument over the course of the study

regression of the mean

participants who give extremely low or high scores on one occasion tend to give less extreme scores when tested again

selection

any factor that creates unequal groups at the start of the study (cohort)

attrition (mortality)

drop outs; one group loses more participants than the other

diffusion of treatment

changes in participants behavior due to information they obtained about other conditions

sequence effects

effects on performance in one condition due to experiences with other conditions

rosenthal effect/self-fulfilling prophesy/pygmalion effect

expectations affect performance

John Henry effect

control group tries harder to score better after discovering information about the study ("I'm not in the experimental group so i'm going to try harder to beat them")



systematic replication

changing some aspects of procedure

conceptual replication

changing operational definitions; new hypothesis

automation

using technology to promote less contact between the experimenter and the participant

target population

participants youre interested in

accessible population

portion of the target population that the researcher has access to

random sampling

every participant has an equal chance of being chosen

stratified random sampling

random sampling within subgroups

ad hoc sampling

random sample of accessible population


randomizing within blocks

randomly assign in blocks of one participant per condition

matched random assignment

random assignment of participants in matched sets to groups

counterbalancing

the order of presentation of conditions to participants is systematically varied; combats sequence effects

error variance

control with careful measurements or special designs

extraneous variance

manipulations that occur outside of the researchers control (confounds)

experimental variance

variance due to things manipulated IN the experiment

between group variance

Index of the variability among group means.

experimental vs. nonexperimental designs

experimental: meets all the criteria for an experiment




nonexperimental: do not include the critical controls of experimental design

within group variance

variability or differences in a particular group (INDIVIDUAL DIFFERENCES)

manipulation check

a specific test of whether the independent variable manipulation worked the way it was intended



ex-post facto design

trying to figure out a cause after something already happened

single-group posttest only design

draw sample...apply treatment...measure

single-group pretest-posttest design

add pretest

multi-level, randomized between group subjects design

controls all sources of confounding variables

statistical analysis issues

chi squared=nominal data


Mann Whitney U=ordinal data

F-value from ANOVA

between groups


----------------------


within groups



main effects

individual effects of the independent variables

interactions

Combined effect of two or more independent variables on the dependent variable that is more than the sum of the individual effects

specific mean comparisons

testing to see which groups are statistically different from which other groups

post-hoc test

secondary analysis that evaluates effects that were not hypothesized by the researcher

within subjects design


strengths, weaknesses?

same participants in each group


strengths: more sensitive to small groups, fewer participants needed


weaknesses: sequence effects

counterbalancing

varying the order of presentation

factorial design

2 or more independent variables

between groups subject design

2 or more groups in which each participant appears in only one group

cross over effects

a finding in which two nonequivalent groups show one pattern of scores before the manipulation and the reverse pattern of scores after the manipulation.

carry over effects

These effects result from of a participant's involvement in one condition affecting his or her performance in all subsequent conditions

time series

multiple measures of the dependent variable are taken before and after manipulation

single subject design

"ABA"


baseline period ... treatment phase ... post treatment phase

ABA design

A = baseline


B = treatment


A(baseline)B(treatment)A(baseline)

ABA reversal design

apply then remove treatment


(treatment)(baseline)(treatment)

multiple baseline design

show the effect of the independent variable on several dependent variables

single subject, randomized, time series design

repeated measures of the dependent variable interrupted by a randomly placed intervention

direct replication

repeating a study on same target behavior

systematic replication

evaluate procedures across subjects, settings and target behaviors

clinical replication

combining procedures into treatment packages

ACOVA & MANCOVA

analysis of covariance


multivariate analysis of variance