Chapter 8 - Clarifying Quantitative Research Designs Flashcards

1
Q

detailed plan for conducting a study, like a blueprint

A

research design

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2
Q

type of study design that involves examining a group of study participants simultaneously in various stages of development, severity of illness, or levels of education to describe changes in a phenomenon across stages

A

cross-sectional design

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3
Q

study that involves collecting data from the same subjects at different points in time (aka repeated measures)

A

longitudinal design

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4
Q

study design that examines relationships between or among two or more variables in a single group

A

correlational design

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5
Q

types of correlational designs (3)

A
  • descriptive correlational design
  • predictive correlational design
  • model testing design
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6
Q

study design with a purpose to describe variables and examine relationships among these variables; facilitates the identification of many interrelationships in a situation

textbook example: “A retrospective analysis of of prenursing student sign-in sheets collected over a 4-year period was accomplished, allowing us to explore the relationship between the final course outcome and attendance.”

A

descriptive correlational design

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7
Q

study design whose purpose is to predict the value of one variable based on the values obtained for another variable or variables. Because causal phenomena are being examined, the terms dependent and independent are used to describe the variables.

textbook example: “A study focused on predicting the sexual risk behaviors of transgender women using the 4-item Perceived Risk for HIV Infection scale and the Behavior Risk Assessment Tool…A regression analysis was used to determine variable associated with sexual risk behaviors.”

A

predictive correlational design

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8
Q

A study design specifically intended to test the accuracy of a hypothesized causal model; all concepts relevant to the model must be measured and the relationships among these concepts examined.

textbook example: “Battiselli and colleagues developed and tested a theoretical model to examine turnover intentions of nurses working in hospitals. The concepts of work-family conflict, job satisfaction, community embeddedness, and organizational affective commitment were identified as predictive of nurse turnover intention.”

A

model testing design

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9
Q

types of descriptive study designs

A
  • simple descriptive design

* comparative descriptive design

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10
Q

Study design used to examine variables in a single sample. Includes identifying the variables within a phenomenon of interest, measuring these variables, and describing them.

textbook example: “Spratling conducted a descriptive study to expand the understanding of healthcare utilization by children with tracheostomies who required medical technology…a retrospective EHR review was completed to identify common health problems that led to ED visits and hospitalization… The study identified common health problems that led to visits, used expert review to categorize these visits as avoidable or unavoidable, and examined sociodemographic and clinical characteristics that affected the visits.”

A

simple descriptive design

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11
Q

Study design used to describe variables and examine differences in variables in two or more groups that occur naturally in a setting

textbook example: “A study examined the difference in perceived learning needs between cardiac patients who underwent major coronary interventional procedures and the nurses who provided care for them…the researchers did find a disparity between the perceptions of patients and nurses on essential learning needs following a cardiac intervention.”

A

comparative descriptive design

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12
Q

type of design that facilitates the search for knowledge and examination of causality in situations where control is limited in some ways

textbook example: “Spiva and colleagues conducted a quasi-experimental study to examine the effects of an EBP nurse mentor training program and clinical nurse module intervention on the outcomes related to EBP… A two-group, pretest-posttest, quasi-experimental, interventional design was used”

A

quasi-experimental study design

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13
Q

type of design focused on examining causality where extensive control of the intervention, setting, sampling process, and extraneous variables is possible

textbook example: “McWilliams, et al, conducted an experimental study to examine ‘the effectiveness of cooperative team learning compared with independent learning when used with nursing students who are learning IV catheter insertion using a haptic IV simulator.’ Two convenience samples of junior-level nursing students attending the fall and spring semester at a university in southeast Texas were randomized into four groups.”

A

experimental study design

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14
Q

research designs conducted to gain information about variables in relatively new areas of study, such as studies to identify problems in current practice, determine trends of illness, and categorize information

most commonly used design

A

descriptive design

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15
Q

examines the effect of a particular intervention on a selected outcome

A

causality

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16
Q

the recognition that several interrelating variables can be involved in causing a particular outcome

A

multi-causality

17
Q

addresses relative rather than absolute causality

researcher recognizes that a particular cause probably will result in a specific effect

A

probability

18
Q

distortion of study findings that are slanted or deviated from the true or expected

A

bias

19
Q

potential causes of bias

A
  • researchers
  • components of environment/ setting
  • individual subjects and/or sample
  • how groups were formed
  • measurement tools
  • data collection process
  • data & duration of study
  • statistical tests & analysis interpretation
20
Q

the power to direct or manipulate factors to achieve a desired outcome; greater in experimental than quasi-experimental designs

A

control

21
Q

implementation of a treatment or intervention; a form of control generally used in quasi-experimental and experimental studies

A

manipulation

22
Q

validity focused on determining if study findings are accurate or the result of extraneous variables; trustworthiness

A

internal design validity

23
Q

threats to internal design validity

A
  • participant selection
  • participant attrition
  • history
  • maturation
24
Q

validity concerned with the extent to which study findings can be generalized beyond the sample used in the study

A

external design validity

25
Q

threats to external design validity

A
  • participant selection
  • setting (place)
  • history (time)
26
Q

group of participants who received the study intervention

A

intervention group, aka
treatment group, aka
experimental group

27
Q

group that is not exposed to the intervention

A

control group aka

comparison group

28
Q

category of study designs that includes descriptive and correlational designs since the focus is on examining variables as they naturally occur in the environment and not in the implementation of an intervention by researchers

A

noninterventional design

29
Q

Type of study conducted in nursing and medicine that is noted to be the strongest methodology for testing the effectiveness of an intervention due to the elements of design that limit the potential for bias. These studies are best conducted in multiple geographical locations to increase the sample size and obtain a more representative sample.

A

randomized controlled trial