Chapter 3: Understanding Research Methods & Variables Flashcards

1
Q

applied research

A

as direct application to healthcare practices.

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2
Q

basic research

A

are used to investigate fundamental questions that are directed at a better understanding of individual concepts.

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3
Q

categorical variable

A

a research sample comprised of children with autism is not a variable, but if you compare girls and boys with autism gender is a variable, and research categorical variables could be assigned a number and compared.

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4
Q

continuous variable

A

ones where the numbers have meaning in relation to one another.

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5
Q

control group

A

does not receive an intervention.

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6
Q

control variable

A

variables that remain constant.

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7
Q

correlational studies

A

seeks to determine if there is a relationship that exists between two constructs and if it does, assessing the strength of our relationship.

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8
Q

cross-sectional research

A

Data are collected at a single point in time.

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9
Q

dependent variables

A

observed and are intended to measure the result of the manipulation.

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10
Q

directional hypothesis

A

indicates that the researcher has an assumption or belief about a particular outcome.

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11
Q

efficacy studies

A

seeks to know if an intervention results in a positive outcome for the client.

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12
Q

experimental research

A

the type of research that is very important for evidence-based practitioners, which examines cause-and-effect relationships.

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13
Q

extraneous variable

A

are tracked, and then later, examined to determine their influence.

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14
Q

factorial design

A

when more than one independent variable is included in a study; the interaction or impact of both independent variables can be examined simultaneously.

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15
Q

hypothesis

A

it’s based on prior knowledge that informs an idea or question to be answered.

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16
Q

independent variable

A

variables that are manipulated or compared in a study.

17
Q

intervention studies

A

seeks to determine if an intervention was effective.

18
Q

longitudinal research

A

requires data to be collected over a long period of time.

19
Q

nondirectional hypothesis

A

suggests that the researcher does not have a prior notion about what the study results may be, but may assume that a difference or relationship exists.

20
Q

nonexperimental research

A

cannot determine causal relationships; includes research that can answer, descriptive relationships, and qualitative questions using methods such as service interviews observation of behavior, standardized measures, and existing data for medical records.

21
Q

null hypothesis

A

States that there is no difference or no relationship and it is an important concept for statistical analysis.

22
Q

observational studies

A

naturally occurring circumstances which I studied as opposed to assigning individuals to an intervention as a research condition.

23
Q

pre-experimental research

A

when a single group is compared before and after an intervention; also known as a pretest/posttest design without a control.

24
Q

qualitative research

A

search for answers to questions through experience.

25
quantitative research
research that uses statistics and describes how it comes in terms of numbers.
26
quasi experimental study
designed to answer cause-and-effect questions, but participants are not randomly assigned into groups.
27
randomized controlled trial
research design that compares at least two groups with participants randomly assigned to a group.
28
research design
a specific plan for our study is organized.
29
research hypothesis
the prediction, the researcher makes about the outcomes of a study.
30
third variable problem
found in correlation studies which presents a potential alternative. An example is that two constructs may be related, but a third variable could account for that relationship or influence the relationship.
31
translational research
when findings from the laboratory are used to generate clinical research.
32
true experiment
a randomized control trial.
33
Type I error
occurs when the hypothesis is accepted, but the hypothesis is actually false.
34
Type II error
when a hypothesis is rejected, but the hypothesis is true.
35
Variable: characteristics of people, activities, situations, or environments that are identifiable, and/or measured in a study, and have more than one value.