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1 Experimental Research Cause + Effect Manipulation Control

1 Experimental Research Cause + Effect Manipulation Control

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Experimental Research

Cause + Effect Manipulation Control

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Cause + Effect

Cause(s) = Independent Variable(s) Effect(s) = Dependent Variable(s)

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True Experimental Research Designs

Difficult to use in nursing Nonexperimental designs more common

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Internal Validity

Are changes in the dependant variable due to effects of the independent variable alone?

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External Validity

To what degree can the results of the study be generalized to other people and other settings?

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Extraneous Variables

Variables that cannot be controlled May threaten internal and external validity

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Extraneous Variables

Confounding Intervening Study Limitations

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Extraneous Variables

Threaten internal and external validity Control of one creates problems with others

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Six Threats to Internal Validity

Selection Bias History Maturation Testing Instrumentation Change Mortality

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Selection Bias

Changes in the dependent variable due to subject differences and not the experimental treatment

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History

An event other than the experimental treatment occurs during the course of a study and influences the dependent variable

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Maturation

Changes that occur within subjects during an experimental study may influence the study results

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Testing

The influence of the pretest or knowledge of baseline data effects the posttest score

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Instrument Change

Instrument inaccuracy or judging influences the pretest or posttest scores

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Mortality

Attrition or drop out

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Major Threats to External Validity

Hawthorne effect Experimenter effect Reactive effects of the pretest

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Hawthorne Effect

Study participants respond in a certain manner, not because of the experimental treatment but because they are aware that they are being observed

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Double-blind Experiment

Prevents the Hawthorne effect Treatment assignments unknown to

researcher and subjects

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Experimenter Effect

Occurs in experimental research Researcher characteristics or behaviors

influence subject behaviors

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Examples of Influential Researcher Characteristics

Facial expressions Clothing Age Gender Type of jewelry Body build

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Rosenthal Effect

Occurs in nonexperimental research Interviewer characteristics or behaviors

influence respondent’s answers

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Reactive Effects of the Pretest (Measurement Effect)

Subjects are sensitized to the experimental treatment through taking the pretest

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Symbolic Presentation of Research Designs

Developed by Campbell and Stanley (1963) Used to depict research designs in a

symbolic form R = random assignment of subjects to a

group O = observation or measurement of

dependent variable X = experimental treatment or intervention

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Experimental Research Designs

True experimental Quasi-experimental Pre-experimental

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True Experimental Design

Internal validity are minimized Causality Researcher has a great deal of

control

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True Experimental Design Criteria

Researcher manipulates the experimental variable (s)

One experimental group and one comparison group

Subjects randomly assigned to groups

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Manipulation—First Criteria

The independent, or experimental, variable is controlled by the researcher

Researcher has control overo the type of experimental treatment that is

administered ando who will receive the treatment

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Comparison or Control Group—Second Criteria

Group that does not receive the experimental treatment

Receive usual treatment or no treatment

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Random Assignment—Third Criteria

Each subject has equal chance Decreases Selection Bias

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Experimental Designs

Pretest-posttest control group design Posttest-only design Solomon four-group design

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The Pretest-Posttest Control Group Design

Subjects randomly assigned to groups Pretest is given to both groups Experimental group receives experimental

treatment Comparison group receives routine treatment

or no treatment Posttest is given to both groups

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The Pretest-Posttest Control Group Design

R O1 X O2

R O1 O2

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The Pretest-Posttest Control Group Design

Advantage Controls for all Internal Validity Threats

Disadvantage Causes external threats and Possible reactive effects of the pretest

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The Posttest-Only Control Group Design

Subjects randomly assigned to groups Experimental group receives the

experimental treatment Comparison group receives routine treatment

or no treatment Posttest given to both groups Eliminates reactive effects of pretest

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The Posttest-Only Control Group Design

R X O1 (Experimental group)

R O1 (Comparison group)

Eliminates the reactive effects of the pretest on the posttest

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The Solomon Four-Group Design

R O1 X O2 (Experimental Group 1)

R O1 O2 (Comparison Group 1)

R X O2 (Experimental Group 2)

R O2 (Comparison Group 2)

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Solomon Four-Group Design

Advantages Minimizes threats to both internal and external

validity Differences between groups can be associated

with the experimental treatment Disadvantages

Requires large sample Statistical analysis is complicated

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Quasi-Experimental Designs

No comparison group No randomization Nonequivalent Control Group Design Time-series Design

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Quasi-Experimental Designs

Advantages Convenient Approximates the real world

Disadvantages Decreases researcher control Decreases researcher manipulation

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The Nonequivalent Control Group Design

Similar to pretest-posttest control group design

No random assignment of subjects to groups

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The Nonequivalent Control Group Design

O1 X O2 (Experimental Group)

O1 O2 (Comparison Group)

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The Nonequivalent Control Group Design

Biggest threat to internal validity Selection bias

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Time-Series Design

Researcher observes or measures the subjects

Experimental treatment administered between two of the observations

O1 O2 O3 X O4 O5 O6

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Time-Series Design

Threats to Internal Validity History Testing

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Learning Objective 8

Discuss two pre-experimental designs

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Pre-Experimental Designs

One-shot Case Study One-group Pretest-Posttest Design

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The One-Shot Case Study

X O Controls for no threats to Internal Validity Weak design

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The One-Group Preset-Posttest Design

O1 X O2

Threats to Internal Validity History Maturation Instrumentation Change

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Learning Objective 9

Discuss four types of nonexperimental designs

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Nonexperimental Research

Descriptive No manipulation No control of variables

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Nonexperimental Research

Survey Research Correlational Research Comparative Research Methodological Research

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Survey Research

Self-report data Phone, mail, or through personal contact

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Survey Research

Data collection methods Questionnaires Interviews

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Strengths of Survey Research

Provide accurate information on populations Use relatively small samples Collect large amounts of data quickly Minimal cost

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Weaknesses of Survey Research

Self-report data may be unreliable Subjects tend to provide socially acceptable

responses

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Correlational Research

Explores the relationship between two or more variables

One variable is X. The other variable is Y

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Correlational Coefficient

Indicates the strength and direction of relationships

Indicates positive (+) or negative (-) information

Perfect positive correlation: +1.00 Perfect negative correlation: -1.00 No correlation/relationship: 0.00 Reported through Pearson’s product-moment

correlation (Pearson r)

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Correlational Research

No manipulation of a variable Possible to identify an independent and

dependent variables

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Correlational Research

The independent variable Usually comes first in chronological order Influences the dependent variable

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Correlational Research

Purpose is to explain relationships between variables

Cannot establish cause and effect Useful for generating hypotheses Guides future experimental and quasi-

experimental studies

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Comparative Research

Examines differences between groups on dependent variable

No manipulation of the independent variable Independent variable is often a characteristic

of the subjects Independent variable cannot ethically be

manipulated

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Comparative Studies

Retrospective Ex post facto

Prospective

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Retrospective Comparative Study

Dependent variable (effect) is identified in the present

Researcher tries to determine the independent variable (cause) that preceded it

Cannot use an experimental approach for the study

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Prospective Studies

Independent variable (presumed cause) is identified in the present

Subjects are followed into the future in order to observe the possible occurrence of the dependent variable (effect)

May use an experimental approach

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Methodological Studies

Research Instruments and Methods Development Testing Evaluation

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Secondary Analysis Studies

Analyses data gathered in a previous study May test new hypotheses May ask new questions of the data Cost-effective Efficient

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Learning Objective 10

Describe two types of settings in which research is conducted

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Research Settings

Laboratory Studies Field Studies

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Laboratory Studies

Conducted in specially created environments Research environment controlled by

researcher

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Simulation Studies

Laboratory studies Subjects’ responses to descriptions of case

studies measured Real-life situations represented in studies

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Field Studies

Real-life setting “In the field” Very little control maintained by the

researcher Phenomena studied in the natural

environment Very appropriate for nursing research

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Learning Objective 11

Critique the design section of quantitative studies

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Critique of Quantitative Research Designs

Read the entire research report carefully Determine if the appropriate design is used

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Questions for the Critique

Does it test the hypothesis(es)? Does the design answer the research

question(s)? Is the researcher trying to determine cause-

and-effect? Is the researcher trying to describe a

phenomenon from the research subject’s point of view?

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Critiquing the Quantitative Research Design Is the design clearly identified in the research

report? Is the design appropriate to test the study

hypothesis(es) or answer the research question(s)? If the study used an experimental design, was the

most appropriate type of experimental design used?

If the study used an experimental design, what means were used to control for threats to internal validity? External validity?

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Critiquing the Quantitative Research Design

Does the research design allow the researcher to draw a cause-and-effect relationship between the variables?

If the design was nonexperimental, would an experimental design have been more appropriate?

What means were used to control for extraneous variables, such as subject characteristics, if a nonexperimental design was used?