Research Design and Statistics Flashcards
[internal validity]
A valid causal inference requires satisfaction
of three criteria: (a) statistical association, (b) temporal precedence, and (c) ________
nonspuriousness
Spurious causes are ….
threats to internal validity
External validity is the extent to which the causal association can be ___________
to or across variations in study instances
generalized
An example of ___________, researchers sometimes use inadequate labels to describe study instances (e.g., label a treatment “progressive relaxation” when the treatment has many additional therapeutic components).
Construct Validity
Randomized experiments are considered the gold standard for assessing ________.
causality
In _________ trials, an intervention’s effects are examined under real-world conditions.
Such trials often take place outside of academic settings (e.g., community
mental health centers).
effectiveness
In ______ trials, an intervention’s effects are examined under ideal circumstances,
particularly with respect to treatment implementation.
efficacy
In _________ analyses, researchers
analyze outcome data from participants as a function of their original group assignment,
regardless of their level of exposure to treatment. The analysis is intended
to provide a conservative (and real-world) estimate of the treatment effect because
it is based on cases exposed to varying levels of treatment.
intent-to-treat
missing data is core problem
single-case experiments are often designed to
increase _________
internal validity
The _______ design is a single-case design that alternates the baseline (A) phase
(intervention absent) with an intervention (B) phase (intervention present). The
outcome of interest is assessed on multiple occasions within each phase.
ABAB
In _________ designs, replication of an effect is sought over multiple baselines,
which can reflect different behaviors, settings, and/or children (just to name
a few).
multiple baseline
Although inferential statistical procedures can be used to analyze data from single case
experiments, it is more common for clinicians to rely on ____________ of the data. Visual inspection is often supplemented with descriptive statistics.
visual inspection
clinicians can examine _______ by comparing the averagenfrequency of the outcome across different phases of the experiment (e.g., during
the A vs. B phases).
mean changes
Clinicians can also examine \_\_\_\_\_\_\_\_ in which they compare the last data point in an immediately prior phase to the first data point in an immediately subsequent phase. If the latency of response is hypothesized to be immediate (e.g., the behavior will reduce dramatically as soon as the intervention is implemented), one might predict dramatic level changes between adjacent (baseline-intervention) phases.
level shifts
Clinicians can also examine _______ (or functional
form) changes by examining the rate of behavior change in different phases. For
example, the behavior might increase in a fairly linear (i.e., constant) manner during
the initial A phase and become fairly stable during the initial B phase
slope
Quasi-experimental studies are experiments that lack _____ of units
to conditions.
random assignment
_____________ (also called passive observational studies) are conducted
when the researcher is not actively manipulating anything (like exposure to an
intervention).
Correlational studies
________ designs compare a group of participants who possess a certain characteristic
(e.g., diagnosis of attention deficit hyperactivity disorder [ADHD]) with
a group of participants who do not possess the characteristic.
Case–control
In \_\_\_\_\_\_\_\_\_\_, an intact group (i.e., cohort) is followed over time to examine the emergence of—and/or change—in some outcome of interest. These designs are classified as longitudinal (also known as prospective) because individuals are assessed on at least two occasions.
cohort designs
If the multiple cohorts also differ in their age or some other salient developmental marker at the study’s inception, the study is called a __________
design. Such designs allow for the study of a longer developmental period over fewer
years of data collection because several developmental cohorts (e.g., toddlers, preschoolers,
and school-aged children) are embedded in the study.
cross-sequential
______ is a threat to validity when naturally occurring changes are mistaken
for an intervention effect—when symptoms remit because of the passage of time
rather than the effects of an intervention.
Maturation
____ is a threat to validity when some event (or constellation of events) occurs
during the study and impacts the results in a manner mistaken for an intervention
(e.g., pt exercising and it helps depression vs. treatment).
History
____—also known as regression to the mean—occurs when
extreme scores tend to revert back to the mean on a subsequent evaluation.
Statistical
regression is more plausible in single-group studies in which extreme
performers (e.g., severely depressed individuals) comprise the study sample.
Statistical regression
______ is a threat to validity when the pattern of participant drop-out impacts
the results in a way interpreted as an intervention effect.
Attrition
____ is a threat to validity when exposing individuals to the pretest changes
them in ways that might be mistaken for an intervention effect.
Testing
______ is a threat to validity when the measurement tool changes and
impacts the results in a manner mistaken for an intervention effect.
Instrumentation
____ occurs in multiple-group studies when systematic differences among
intervention groups can be mistaken for an intervention effect.
Selection
As such, the reliability of a measure is viewed as
the ratio of true score variance to ______ (True score variance is consistent
with consistency or dependability, concepts that are often invoked in discussions
of reliability.)
total variance.
Kuder–Richardson Formula 20—often
abbreviated KR-20—which can be used when the items are
dichotomous
______—also known as internal structure—is the extent to which the
structure of the measure is consistent with the theorized factor structure of the construct.
Structural validity
____ matrix can be used to evaluate convergent and discriminant validity.
multitrait–multimethod
In ____, three
primary decisions involve (a) choosing a method of factor extraction, (b) choosing
a method of factor rotation, and (c) deciding on the number of factors to retain.
EFA
In _______ rotations, the factors are
assumed to be uncorrelated. In oblique rotations, the factors are assumed to be
correlated—often the case in psychology.
orthogonal
Several _______ can help with this
last decision—including the chi-square test, root mean square error of approximation
(RMSEA), and standardized root mean square residual (SRMR). All fit indices
quantify (albeit in slightly different ways) how well the model-implied covariance
matrix reproduces the estimated population covariance matrix of the analysis
variables.
fit indices [CFA]
One of the advantages of conducting
statistical analyses on_______ (as in the case of structural equation
modeling, described below), is the gain in statistical power that results when
measurement error is removed from the constructs of interest.
latent variables
The ___ is used when (a) data are ordinal, or (b) when data are interval or ratio, but the
distribution is highly skewed (the median is less affected by skewness)
median
In_______, the mean and median are identical.
In symmetrical
distributions with a single mode, the mean, median, and mode are identical
symmetrical distributions
The interquartile range captures the middle 50% of the distribution and is
computed by subtracting the 25th percentile (first quartile) from the _____th percentile
(third quartile)
75
The standard deviation (SD) captures the average distance of scores from the
mean
z = (x − M) / _______ .
SD
Properties of the Normal z Distribution When a z-score conversion is used,
the resulting z distribution has the following properties: (a) the mean is ___; (b) the
standard deviation is 1; and (c) each z score represents the position of the score in
relation to the mean, in standard deviation units. In other words, a z score of −1.27
denotes a score exactly 1.27 standard deviations below the mean.
0
percentiles can be computed by conversion of T to z: (T – 50)/______.
10
__________: (a) make
more distributional assumptions (e.g., that the distribution is normal), (b) assume
data are measured on an interval or ratio scale, (c) are conducted on actual data
(as opposed to on ranks derived from data), and (d) allow researchers to test more
specific hypotheses about the populations from which they are drawn.
parametric statistics
the null hypothesis specifies
that the two ________ are equal (mt = mc).
population means
When the sample data
would occur relatively infrequently assuming the null hypothesis (e.g., the data
would occur less than 5% of the time if the null hypothesis were true
p < .05 (sig level; alpha)
results are not declared statistically significant even though the null hypothesis
is false
Type II error (Beta)
Results were excepted even though the null was true
Type I error (alpha)
_______ is the probability of correctly rejecting a false null hypothesis (i.e., finding an effect when one exists in the population)
Statistical power (1 -Beta)