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87 Cards in this Set
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What type of research design can control for pretest sensitization?

Solomon 4groups Design


Define Solomon 4group design?

The Solomon FourGroup Design is designed to deal with a potential testing threat. Recall that a testing threat occurs when the act of taking a test affects how people score on a retest or posttest. The design notation is shown in the figure. It's probably not a big surprise that this design has four groups. Note that two of the groups receive the treatment and two do not. Further, two of the groups receive a pretest and two do not. One way to view this is as a 2x2 (Treatment Group X Measurement Group) factorial design. Within each treatment condition we have a group that is pretested and one that is not. By explicitly including testing as a factor in the design, we are able to assess experimentally whether a testing threat is operating.
Pretest is treated as an additional independent variable. 

What is autocorrelation?

subject's performance on the posttests is likely to correlate with their performance on the pretests


What is a disadvantage of the timeseries and withinsubjects designs?

they can be confounded by autocorrelation which can decrease power and inflate chances of making a Type I error


What is Latin Square Design?

one type of counterbalanced design that involves administering each level of the IV so that it appears the same number of times in each position.
Can help controle multiple treatment interference (order effects, carryover effects). 

What is a factorial design?

whenever a study includes two or more independent variables?


What type of design combines betweengroups and within subjects methodologies?

mixed (splitplot) design


What is the multiple baseline design?

involves sequentially applying the treatment either to different behaviors of the same subject or to the same subject in different settings, or to the same behavior of different subjects. Once the treatment has been applied, it is not withdrawn during the course of the study.


What type of research designs are used primarily in applied behavioral analysis?

singlesubject designs


What type of distributionmean is greater than the median which is greater than the mode?

postively skewed distribution


What type of distributionmean is less than the median, which is less than the mode?

negatively skewed distribution


variance VS standard deviation?

Variancemean square, measure of variability
SS/(N1) the degree to which the scores are dispersed around the distribution's mean Standard deviationexpressed in same unit of measurement, square root of variance, can be interpreted as a measure of dispersion of scores around the mean 

What are the areas under the normal curve?

+1 to 1 = 68.26%
+2 to 2 = 95.44% +3 to 3 = 99.72% 

Which measure of central tendency is least susceptible to sampling fluctuations?

mean


Which measure of central tendency is an unbiased estimate of the population mean?

mean of a sample that has been randomly slelected from the population


what kind of distribution when scores are fairly evenly distributed throughout the range of possible scores?
mesokurtic platykurtic leptokurtic 
platykurtic


Which measure of central tendency is most useful for openended distributions?

median


what is affected by adding/substracting a constant to every score in distribution?

change in measures of central tendency but not variability


what is affected when each score in distribution is multiplied/divided by constant?

measures of central tendency and variability


What is the Central Limit Theorem used for?

to make predictions of the characteristics of a sampling distribution of the mean


What are the 3 predictions of the Central Limit Theorem?

1)as sample size increases, the sampling distribution of the mean approaches a normal distribution
2)mean of the sampling distribution of the mean is equal to the population mean 3)st. dev. of the sampling distribution of the mean is equal to the population st. dev. divided by the square root of the sample size (standard error of the mean) 

What is the standard error of the mean?

st. dev. of a sampling distribution
an estimate of the extent to which the mean of any one sample randomly drawn from a population can be expected to vary from the population as a result of sampling error measure of variability due to the effects of random error 

What affects the size of the standard error of the mean?

the larger the population st. dev. and the smaller the sample size, the larger the st. error and vice versa


What is the formula for standard error of the mean?

SD (of pop)
 √N 

According to Central Limit Theorem, the shape of the sampling distribution of means:

Regardless of the shape of the distribution of individual scores in the population, as the sample size increases the sampling distribution of the mean of the mean approaches a normal distribution.


what type of research design helps overcome carryover effects?

counterbalancing


how to calculate df for single sample chisquare test?

c1
where c = number of columns 

how to calculate df for multiple sample chisquare?

(c1)(r1)
where c = number of columns and r = number of rows 

how to calculate df for single sample ttest?

n1
where n = number of subjects 

how to calculate df for independent samples?

n2
where n = total number of subjects 

how to calculate df for ttest correlated samples?

n1
where n = number of pairs of scores 

how to calculate df for oneway ANOVA?

(c1)
(nc) where c = number of levels of IV and n = number of subjects 

in ANOVAdf for mean squares between?

c1
where c = number of levels of IV 

in ANOVA df for TOTAL?

n  1
where n = total number of subjects 

When deciding on tests for ordinal data, what test to use with two independent groups?

MannWhitney U Test
similar to the ttest for independent samples 

With ordinal data, when do you use the Wilcoxin MatchedPairs SignedRanks Test?

when the study includes two correlated (matched) groups and the differences between the dependent variable scores of subjects who have been matched in pairs are converted to ranks
two correlated groups similar to the ttest for correlated samples 

What test to use with ordinal data and two or more independent groups?

KruskalWallis Test
similar to the oneway ANOVA 

what are the assumptions for inferential statistics?

data is normally distributed
homoscedasticityvariances of the populations that the different groups represent are equal 

what assumption do both parametric and nonparametric prefer?

random selection from the population


When is it appropriate to use parametric tests?

interval or ratio data


When is it appropriate to use nonparametric data?

nominal or ordinal data


How do you maximize the robustness of a parametric test?

have equal number of subjects in each group (most effective)
large sample size alpha set to a lower level 

When do you use a repeated measures ANOVA?

2 or more correlated groups
within subjects design 

when do you used a mixed or splitplot ANOVA?

2 or more independent and correlated groups
mixed design 

when do you used a randomized block ANOVA?

when blocking has been used to control an extraneous variableextraneous variable is treated as an independent variable so that its main and interaction effects can be analyzed
helps reduce withingroup variability and increases power 

when do you used a MANOVA?

2 or more dependent variables and one or more independent variable
Allows Experimenter to simultaneously assess the effects of the independent variables on all of the dependent variables. helps increase power 

When do you use ANCOVA?

allows for control of extraneous variable by removing the portion of variability in the dependent variable due to the extraneous variable
reduces within group variability and increases power ANOVA with regression analysis 

which correlation coefficient do you use with interval or ratio data?

pearsonproduct moment


which correlation coefficient do you use with rankordered (ordinal) data?

Spearman RankOrder


Which correlation coefficient do you use with a true dichotomy?

Phi


Which correlation coefficient do you use with one dichotomous variable and one interval/ratio variable?

pointbiserial


which correlation coefficient do you use to assess nonlinear relationships?

Eta


which correlation coefficient do you use with one artificial dichotomy variable and one interval/ratio variable?

biserial


which correlation coefficient do you use with nominal data?

contingency


what are the 3 assumptions for correlation coefficients?

linearity between variables
unrestricted range homoscedascity 

What happens to the correlation coefficient if there is a restriction in range?

tends to produce a low correlation coefficient and underestimates the true relationship
can threaten a study's internal validity 

What is homoscedascity?

the range of Y scores is about the same for all values of X


what is the least squares criterion?

locates the regression line so that the amount of error in prediction is minimized


what is multicolinearity?

a high correlation between predictors


Why is multicolinearity undesirable?

predictors then provide redundant information
magnitude of the regression coefficient is not proportional to the correlation between the predictor and the criterion makding it difficult to predict the regression coefficient 

what is the output of multiple regression analysis?

multiple correlation coefficient
multiple regression equation 

What is the multiple correlation coefficient?

correlation between the criterion and a linear combination of the predictors
R 

What is the coefficient of multiple determination?

Rsquared
measure of shared variability 

What is the purpose of simultaneous (simple) regression?

to analyze the effects of all of the predictors on the criterion at once


What is the purpose of stepwise regression?

to explain the greatest amount of variability using the fewest possible number of predictors
decision to add or subtract a predictor is based on the resulting change in Rsquared 

What is forward (stepup) in stepwise regression?

one predictor is added in each subsequent analysis


What is backward (step down) in stepwise regression?

begins with all predictors
one is removed in each subsequent analysis 

What is the purpose of hierarchical regression?

involves several separate analyses
initiallyinclude one or more predictors subsequentadding different preditors to the original ones with the selection of predictors based on a welldeveloped theory or model 

what is crossvalidation in correlation and prediction?

whenever a multiple correlation coeffecient and multiple regression equation are tried out on another sample


why does shrinkage occur in crossvalidation of regression?

because the regression weights were derived from the original sample and do not fit the new sample as well
shrinkage is greatest when the original sample was small and the number of predictors is large 

when do you use canonical correlation?

when two or more continuous predictors are used to predict the status on two or more continuous criteria


when is it appropriate to use discriminant function analysis?

when two or more continuous predictors will be used to predict or estimate a person's status on a single discrete criterion
requires the relationships between variables to be linear 

when is it appropriate to use logistic regression?

similar to discriminant function analysispredict status on a single discrete criterion using two or more continuous or discrete predictors
assumes the relationships between variables are nonlinear 

how do you calculate the Fratio?

MSB/MSW = (treatment + error)/error


How do you calculate MST, MSB, MSW?

MST = SST/df
MSB = SSB/df MSW = SSW/df SST = SSB + SSW 

What is an interaction effect?

an effect that occurs when the impact of one independent variable differs at different levels of another variable.
when a study has a significant interaction, the main effects should be interpreted with caution 

what is interval recording?

a method of behavioral sampling that involves dividing a period of time into discrete intervals and recording whether the behavior occurs in each interval
useful for behaviors that have no beginning or end 

what is a counterbalanced design?

research design used to control carryover effects
involves administering the different levels of the IV to different subjects or groups of subjects in a different order Latin square design is one type 

what is a crosssequential design?

studies conducted to assess the effects of aging and/or developmental changes over time
help overcome the shortcomings of crosssectional and longitudinal research by combining the two methodologies 

what are singlesubject designs?

research designs originally developed for assessing the effects of an IV on one subject or a few subjects.
characterized by the inclusion of at least one baseline and one treatment phase and by the measurement of the DV at regular intervals during each phase (to control maturation) AB, ABA, ABAB, multiplebaseline design 

why is statistical regression a threat to internal validity?

tendency of extreme scores on a measure to regress toward the mean when is measure is readministered to the same group of people
problem whenever subjects have been selected because of their extreme status on the dependent variable 

why is selection a threat to internal validity?

threat whenever the method used to assign subjects to treatment groups results in systematic differences between the groups at the beginning of the study
problem when intact groups are used controlled by randomly assigning subjects to groups or administering a pretest to subjects to determine if the groups differ initially with regard to DV 

What are the steps in program evaluation?

1. specifying the program's goals
2. defining the relevant parameters 3. specifying the techniques and procedures to be used to achieve the program's objectives and goals 4. collecting the relvant data 

What is cluster sampling?

slecting units or groups of individuals from the population
useful when it is not possible to identify or obtain access to the entire population of interest 

What is alpha?

the size of the rejection region or the level of significance
the probability of making a type I error increased when the sample size is small and when observations are dependent 

What is beta?

the probability of making a type II error
more likely when alpha is low, when the sample size is small, and when independent variable is not administered in sufficient intensity 

what is the relationship between alpha and beta?

inverse relationship
