Nursing Research

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Quantitative Research Design

Chapter Eight

Definition

Identified with the traditional scientific method

Gathers data objectively in an organized manner

Findings can be generalized to other situations/populations

Systematic plan

The most commonly used research design is

quantitative design

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Types

Experimental designs

Treatment

Control group

Quasi experimental

Lacks randomization

May not have control group

Non experimental

Generates questions for experimental designs

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Characteristics

Why – Purpose for the study

Where – Setting where the study is done

Who – Subjects to be studied

What – Type of data to be collected

When – Timing of the data collection

How – Design used for the study

These questions help look for a cause and effect in quantitative research

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Experimental Design

Control

Most common and important characteristics

Manipulation

Independent variable

Randomization

Assignment of subjects to a group allowing for equal opportunity of selection

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Variables

Dependent

Outcome of the study that is caused from the independent variable

Usually not manipulated

Independent

Treatment, intervention, or experiment

Usually manipulated

Extraneous

Need to be controlled

Examples – gender, age, ethnicity

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Generalization

Ability to apply the results of a study to other settings and/or populations

Helps to strengthen the study

Aided by careful control of the study through the use of randomization, control, and manipulation

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Descriptive Designs

Examines the characteristics of just one sample population

Used for theory development, practice problems, rationale for current practice or clinical decision making based on what others are doing

Types

Comparative

Time dimensional

Cross-sectional

Trends and events

Correlational

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Comparative design

Looks at the differences in two or more groups

No manipulation of the independent variable

No control group used

Can be retrospective

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Correlational Design

Most widely used descriptive design

Examines the relationships between two or more variables within a situation

Reason for the relationship is unknown

Do not conclude that only one variable causes another

Can be prospective or retrospective in design

Can be predictive in nature

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Experimental Designs

Look for cause and effect

Must be a preceding cause and a relationship between the cause and outcome

Issues to consider

Can the variables be manipulated

Ethics

Feasibility

Hawthorne effect

Types

Pretest-posttest

Randomized Controlled Trials

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Non Experimental Designs

Manipulation of variables is not possible

Randomization is not possible

Observational not interventional

Types

Secondary analysis: examines data from another study

Meta analysis: examines data from previous studies and compares them to several studies

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Quasi Experimental Design

Most frequently used quantitative research design

Independent variable is manipulated

No randomization of subjects

No control group used

Not as strong design as experimental

Stronger design than descriptive

More practical

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Control

Critical for results related to cause and effect in relation to the treatment/intervention

Randomization aids in controlling extraneous variables

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Evidence-based Considerations

Increases comprehension of various designs

Concepts of randomization and control are essential

What is expected (relationships, effect, etc) determines design

Three essential components must be present for experimental design – control of variables, manipulation, and randomization

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Summary Points

Identified with traditional scientific methods

Objective, systematic plan for gathering data

Design centers around why, where, who, what, when and how questions

Examines relationships for cause and effect

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Summary Points - continued

Manipulation of the independent variable, control of extraneous variables, and randomization are essential

Comparative designs – no manipulation or control of the independent variable

Correlational design most commonly used descriptive design

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Summary Points - continued

Experimental designs look for cause and effect

Issues – ethics, manipulation of variable, feasibility, and Hawthorne effect

Most classic experimental design – pretest-posttest design

Randomized Controlled Trials – true experimental design

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Summary Points

Types of non experimental designs used in EBP – secondary analysis and meta analysis

Quasi experimental designs used most frequently when no randomization or control group possible

Non equivalent control groups design compares two groups without randomization

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Summary Points - continued

Time series design – no randomization, no control group, data collected at various intervals.

Implications for EBP – must have working knowledge about quantitative designs.

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