Nurs 413 Ch.6 & 7 – Flashcards

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an integration of the theoretical and empirical literature that was presented in the review of the literature section of the study
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An appropriate research design will reflect
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experimental or nonexperimental
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Quantitative designs used to examine relationship among variables are categorized as:
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the purpose of examining causality
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Experimental designs are used for
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the purposes of describing a phenomenon in detail, explaining relationships and differences among variables, and predicting relationships and differences among variables
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Nonexperimental designs can be used for
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the role of the researcher
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The major difference between nonexperimental and experimental designs is
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actively manipulate the independent variable (causal variable) to determine its effect on the dependent variable
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In experimental designs, researchers
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are observers noting the occurrence of the variables of interest and trying to determine relationships and differences.
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In nonexperimental designs, researchers
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the relationship between a cause and its effect
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Causality
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multicausality
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When outcomes have many causes, its called
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What type of quantitative design is being used? Can causality be inferred? Did researchers use the highest level of design possible to answer the research questions? What strategies did the researcher use to control for the effects of extraneous variables? What threats to internal and external validity might be present, and were any strategies used to reduce them? Were there any ethical concerns about the design?
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Elements to consider when appraising quantitative designs
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Likelihood or chance that an event will occur in a situation
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Probability
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ability to manipulate, regulate, or statistically adjust for factors that can affect the dependent variable
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Control
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the ability of researchers to control the independent variable
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Manipulation
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factors that interfere with the relationship between the IV and DV
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Extraneous variable
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the standard of care, but does not get the intervention
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In health-related experimental designs, the control group of subject usually receives:
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when extraneous variables influence the relationship between the independent and dependent variables
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Bias
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the selection, assignment, or arrangement of elements by chance
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Randomization
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technique for selecting elements whereby each has the same chance of being selected
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Random sampling
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subjects have an equal chance of being in either the treatment or the control group
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Ransom assignment
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study design where two groups of subjects can be compared
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Between-group design
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comparisons are made about the same subjects at two or more points in time or on two or more measures
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Within-groups design
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ability to accept results as logical, reasonable, and justifiable based on the evidence presented.
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Study validity
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identify potential threats to validity, evaluate the seriousness of those threats, and determine if results are valid for application to patient care
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Evaluating the quality of quantitative evidence requires the nurse to
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are forces that can change the results of the study
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Threats
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a. research question b. review of the literature c. theoretical framework d. study purpose
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When designing a study, which of the following should the researcher consider: (select all that appyl) a. research question b. review of the literature c. theoretical framework d. study purpose
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d. examine causality
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Which of the following is not a purpose of nonexperimental designs: a. describe phenomenon b. explain relationships c. predict relationships d. examine causality
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a. control
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The researcher's ability to manipulate or regulate extraneous variables is known as: a. control b. manipulation c. bias d. probability
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b. random assignment
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When a researcher assign subjects to groups by tossing a coin, the researcher is using: a. random selection b. random assignment c. bias d. within-groups design
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the degree to which one can conclude that the IV produced changes in the DV
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Internal validity
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selection bias history maturation testing instrumentation mortality statistical conclusion validity
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Common threats to internal validity include:
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a threat to internal validity when the change in the DV is a result of to characteristics of the subjects before they entered the study
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Selection bias
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the use of random assignment to groups
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Selection bias con be minimized somewhat by
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a threat to internal validity when the dependent variable is influenced by an event that occurred during the study
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History
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having a control group that is exposed to the "event" but does not receive the intervention
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The threat of history can be decreased by
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a threat to internal validity when subjects change by growing or maturing
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Maturation
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control group
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What can help limit maturation threat to internal validity?
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a threat to internal validity when a pretest influences the way subjects respond on a posttest
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Testing
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familiarity answers answered current knowledge beliefs
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Repeated testing can cause _________ with the test itself and ______ may reflect subjects' abilities to remember how the questions were ________ previously rather than reflecting __________ and _________.
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threat to internal validity when there are inconsistencies in data collection
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Instrumentation
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comprehensive training of all data collectors
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To control for the threat of instrumentation, researchers need to ensure
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a threat to internal validity when there is a loss of subjects before the study is completed
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Mortality
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dropout rate
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Attrition rate
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provide an analysis and explanation for the dropout rate
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If the attrition rate is high the author of the article should
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the degree that the results of the statistical analysis reflect the true relationship between the IV and DV
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Statistical conclusion validity
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when researchers inaccurately conclude that there is no relationship between the IV and DV
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Type II error
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using well-established and well-designed instruments
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Researches can control for low reliability of the measure by
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the degree to which the results of the study can be generalized
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External validity
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a threat to external validity when the instrument does not accurately measure the theoretical concepts
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Construct validity
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the influence of participating in a study on the responses of subjects
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Reactivity
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subjects' behaviors affected by personal values or desires to please the experimenter
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Hawthorne effect
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studies where subjects and researchers are unaware if they're experimental interventions or standard of care
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Double-bind experimental designs
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threat to external validity when the samples does not represent the population
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Effects of selection
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a threat to external validity where the IV might not affect individuals the same way
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Interaction of treatment with selection of subjects
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a threat to external validity when an intervention conducted in one setting cannot be generalized using the same intervention
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Interaction of treatment and setting
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a. external validity
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The degree to which the results of studies can be generalized to other individuals, settings, or time is: a. external validity b. construct validity c. internal validity d. statistical conclusion validity
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c. history
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During a study examining nurses' job satisfaction, the union decides to hold a strike. This is what type of threat to internal validity: a. selection bias b. mortality c. history d. testing
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b. Hawthorne effect
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A researcher plans to observe children in a kindergarten class. Students have always been told to be on their best behavior when guests are present in the classroom. What is the greatest threat to external validity: a. construct validity b. Hawthorne effect c. selection d. interaction of treatment setting
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a threat to external validity when historical events affect the intervention
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Interaction of treatment and history
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research design when researchers look back in time to determine possible causative factors
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Retrospective design
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retrospective research design
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ex post factor
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retrospective study where research begins with people who already had the disease
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Case control
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in epidemiological studies
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Retrospective designs are often used
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that researchers cannot say definitively that to IV caused the DV; instead they can conclude that there is an increased likelihood or probability that the IV caused the DV
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Because retrospective designs are not experimental, a disadvantage is
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nonexperimental designs used to gather data from a group of subjects at only one point in time
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Cross-sectional
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more than one group is studied at the same time so that conclusion about a variable over time can be drawn without spending as much time
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Cohort comparison
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easier to manage and are more economical; data is collected only one time so the threats of mortality, maturation, and testing are minimized
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Advantages of cross-sectional designs
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difficult for researchers to make claims about cause and effect
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Limitation of cross-sectional design
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designs used to gather data about subjects at more than one point in time
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Longitudinal designs
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studies over time with presumed causes that follow subjects to determine if the hypothesized effects actually occur
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Prospective designs
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longitudinal design where the same subjects provide data from different samples across time
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Panel design
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a type of longitudinal design to gather data different samples across time
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Trend
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a longitudinal design used to follow subjects into the future
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Follow-up
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the samples are not drawn from the general population, but instead samples are selected because they have a specific characteristic or condition that researchers are interested in studying
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Nonexperimental studies differ from panel studies in that
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experimental design using two or more treatments; subjects receive treatments in random order
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Crossover
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carryover effect, where even though the subjects are asked to stop performing the 1st intervention, the may continue to use it during the 2nd intervention
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One problem with crossover studies
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studies in which data are gathered over extended period of time rather than in just a few hours or days
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The term longitudinal is reserved for
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can be used to test cause and effect
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Advantage of longitudinal studies
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costs in following subjects over an extended period of time
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Disadvantage of longitudinal studies
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False
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In retrospective designs, also known as ex post facto designs, the researchers manipulates the IV. True or false
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True
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Cohort comparison studies can save time because more than one group of subjects is studied. True or False
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False
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The threat of mortality is greater in cross-sectional designs than in longitudinal designs. True of False
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False
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Any study that involves collecting data at multiple points in time is a longitudinal study. True or False
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randomization, control, and manipulation
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To be considered a true experimental design, 3 features must be included:
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design involving random assignment to group and manipulation of the IV
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experimental design
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randomly select subject from the target population randomly assign subjects to groups
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Randomization happens in 2 ways
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control for extraneous variables
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Control group is one strategy to
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manipulate
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Researchers must be able to ________ the IV for a design to be considered experimental
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the study is clinical in nature rather than a specific type of design
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RCT (randomized controlled trial)
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1. they involve a large # of subjects, often from diverse geographical areas 2. there are strict guidelines for including subject in a study 3. subjects are randomly assigned to interventions and control groups 4. groups must be comparable on key characteristics at baseline 5. the intervention is consistently implemented to all subjects in the experimental group following a very rigidly defined protocol for implementation 6. all subjects in both groups are measured on the DV using the same method of measurement at the same points in time
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RCTs are characterized by the following
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1. two-group pretest-posttest 2. two group, posttest only 3. Solomon four group 4. multiple experimental groups 5. factorial 6. crossover designs
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6 types of true experimental designs
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subjects are randomly assigned to the experimental or control group, and measured before and after the intervention
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Two-group pretest-posttest designs
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Two group pretest-posttest
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What is considered to be the classic experimental design?
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an experimental design when subjects are randomly assigned to an experimental or control group and measured after the intervention
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Two group posttest only design
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an experimental design with four groups, some receive the intervention, other serve as control; some are measured before and after, others only measured after the intervention
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Solomon four group design
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repeated testing threats
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Potential disadvantage of the two group pretest-posttest design
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susceptible to the threats of selection bias
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Disadvantage of the two group posttest only design
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experimental design using two or more experimental groups with one control group
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Multiple experimental groups design
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Reduction of testing threat; also superior to two group posttest only because it minimizes selection bias
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Why is the Soloman four group a superior design than the two group pretest posttest?
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experimental design allowing researchers to manipulate more than one intervention
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Factorial design
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allows researchers to compare the effect of different interventions on the DV
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Advantages of multiple group design
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a large # of subjects are needed to detect differences across multiple groups
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Disadvantage of multiple group design
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True
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All experiments must include a minimum of two groups of subjects. True or False
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True
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The Solomon Four group design is more effective at controlling for the threat of testing than is the two group pretest posttest design. True or False
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False
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In a factorial design, only one group of subjects is required because they act as their own control. True or false
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True
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Patients who are not in the intervention group must receive the standard of care. True or False
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experimental design using two or more treatments and subjects receive both treatments in a random order
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Crossover design
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the subjects serve as their own control group
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Who is the control group in a crossover design?
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research designs involving the manipulation of the IV but lacking either two groups or a control group
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Quasi-experimental designs
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1. nonequivalent control group pretest-posttest 2. time series designs 3. preexperimental designs
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3 quasi-experimental designs
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a quasi experimental design where two groups are measured before and after an intervention
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Nonequivalent control group pretest posttest design
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a quasi-experimental design where one group is measured prior to administering the intervention and then multiple times after the intervention
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Time series design
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a preexperimental design involving one group and a posttest with little control for extraneous variables
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One group posttest only design
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that quasi, while lacking some elements of an experiment, use other strategies to control for extraneous variable
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The difference between pre and quasi experimental designs is
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a preexperimental design involving two groups measured after an intervention with little control for extraneous variables
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Nonequivalent groups posttest only design
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a posttest only design that involves manipulation of the IV but lacks control for extraneous variables
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Preexperiemental
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3. comparison group and manipulation of IV 4. randomization and manipulation of IV
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Quasi experimental designs include which on the following essential components: (select all that apply) 1. randomization, control group, and manipulation of IV 2. randomization, and control group 3. comparison group and manipulation of IV 4. randomization and manipulation of IV
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b. comparison groups
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Experimental designs have control groups. Quasi experimental designs have which of the following: a. control groups b. comparison groups c. extraneous groups d. peer groups
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c, d, b, a
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Rank the evidence generated from the following designs from lowest to highest: a. experimental designs b. nonequivalent control group pretest posttest c. one group posttest only d. nonequivalent groups posttest only
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a research design that lacks manipulation of the IV and random assignment
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nonexperimental design
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there is little information known about a particular phenomenon, when it would be unethical to manipulate the IV, or when it is not practical to conduct an experiment.
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Nonexperimental designs are important when
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1. describing a phenomenon in detail 2. explaining relationships and differences among variables 3. predicting the relationships and differences among variables
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Nonexperimental designs are used for the purpose of:
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descriptive and correlational
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Two general ways the nonexperimental designs can be categorized
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provide a picture of a situation as it is naturally happening without manipulation of any of the variables
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Descriptive design
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nonexperimental design used when little is known about a phenomenon
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Exploratory design
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descriptive design that compares 2 or more groups or variables
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Comparative design
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a descriptive design involving data obtained through subjects' self report
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Survey design
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nonexperimental design used to study relationship between two or more variables
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Correlational design
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No because they do not involve manipulation of IV
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Can causal statement be made with correlational designs?
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when change in one variable is associated with change in another variable
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Covary
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descriptive-correlational predictive correlational model-testing
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3 types of correlational designs
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used to explain the relationship among the variables or groups using a nondirectional hypothesis
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Descriptive correlational design
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when researchers hypothesize which variables are predictors or outcomes
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Predictive correlational design
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1. researchers attempt to determine the amount of variance in an outcome variable that can be explained by multiple predictive variables 2. determining group membership
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Two aims of predictive designs
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correlational design to test a hypothesized theoretical model
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Model-testing
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an experimental design
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True causality can only be established with
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false
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In nonexperimental designs, researchers manipulate the IV to determine cause and effect. True or False
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true
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Nonexperimental design can be used to develop and test theories
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True
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The purposes of nonexperimental designs are to describe, explain, and predict relationships.
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True
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Descriptive data are usually cross-sectional and can be controlled through surveys and questionnaires
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false
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Researchers use correlations to determine if there are differences between two groups
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research for the purpose of linking research findings to the point of care
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Translational research
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The Agency for Healthcare Research and Quality (AHRQ)
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What agency is committed to the support of translational research?
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active involvement of community members throughout the research process
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Community-based participatory action research (CBPAR)
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engaging in collaborative, equitable partnerships, building on resources and using dynamic processes where ideas flow between researchers and community members
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Critical principles for CBPAR include
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research involving phenomena related to the delivery of health care
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Health services research
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