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Ppt. types of quantitative research

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Page 2: Ppt.  types of quantitative research

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CLASSIFICATION OF RESEARCH DESIGN (POLIT & HUNGLER, 1999)

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ESSENTIAL CHARACTERISTICS OF EXPERIMENTAL DESIGNS

Randomization

Control Manipulation

Experimental Design

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RANDOMIZATION

Participants being assigned to eitherreceive (experimental group) or notreceive (control group), thetreatment condition or intervention

(IV).

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METHOD OF RANDOMIZATION

•Lottery method

•Tossing a coin

•Random number table

•Computer

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MANIPULATION

Manipulation is the process of maneuvering the IV, so that its effect on the dependent variable (D.V) can be observed/measured.

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METHOD OF MANIPULATION

Researcher gives intervention to experimental group and withholds it to the control group or administers some other treatment. E.g. Gentle message is effective as a pain relief measures for elderly.

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CONTROL

Control is for elimination of bias.

Control group refers to a group of subjects, whose performance is used to evaluate the performance of experimental group on same D.V.

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Eg. Effect of nutrient diet on the weight of premature infant in two weeks.

Comparison of post intervention weight with pre-intervention weight determines the effectiveness of nutrient diet.

CONTROL

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The type of experimental design is determined by the amount of control the researcher is able to exercise over the research condition.

CONTROL

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1. TRUE EXPERIMENTAL DESIGN

1.1 Classic experimental design/pretest-post test control group design

R O1 x O2 (Experimental group)

R O1 O2 (Control group)

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Experimental

Group- E

Pre test Treatment (X) Post test (x)

Control group-

C

Pre test Post test (y)

Example

•Tepid sponge (IDV) --> reduction of temperature (DV)

•Paracetomol (IDV) --> reduction of temperature (DV)

COLLECT PRETEST DATA BEFORE RANDOMIZATION TWO GROUPS

Example of Pre test – Post test Design.

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Example of True Experimental Study

Sneha, “Effectiveness of massage on the selected physiological variables of low birth weight infants”. In NICU of BharatiHospital, Pune, 2010.

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1.2 Post test only control group design

R X O1 (Experimental group)

R O1 (Control group)

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Experimental group E Intervention

introduced

X

Level of phenomenon

after intervention (Y)

Control group C Level of phenomenon

without intervention (Z)

Intervention Effect =(Y)-(Z)

Example of Post-Test only Control Group Design

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Example of Post Test only Control Group Design

Vijayakumari G: A study to assess the effectiveness of structured teaching program regarding nature and prevention of accidents among mothers of toddlers in selected areas of Raichur (2004).

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2. QUASI-EXPERIMENTAL DESIGNS

A quasi experimental design is one in which experimental and control (comparison) are present & randomization is not there.

Ex. Effect of primary Nursing education on staff morale.

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2.1 Non equivalent control group design

R O1 X O2

R O 3 O4

Effect = (O2 – O1) – (O4 – O3)

R = Randomization.

O = Observation or measurement

X = Treatment or intervention

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A researcher might choose a group of patients with diabetes on one hospital floor for the experimental group and a group of patients with diabetes on another floor for the comparison group. The experimental treatment would be administered to the experimental group; the comparison group would receive no treatment or some alternative treatment.

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E.g. A non-equivalent control group design was used by Valliammal Sudhakar (2008) to study the knowledge, attitude and practice towards physical well being of a group of IV, V, VIth grade students in two different schools.

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2.2 THE TIME SERIES DESIGN

• The time series design, a single group experiment comprises of series of observation in the before-time period to establish a baseline.

• The experimental independent variable is then introduced,

• Followed by another series of observation to examine the effect of the independent variable.

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2.2.1 Time series Design (single group)

Before x After

………...……………………………………...E O1 O2 O3 O4 O5 x O6 O7 O8 O9 10

………………………………………………

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2.2.2 The Multiple Time Series DesignTime series non equivalent control group design

(QED)

Before x After

………………………………………………………..E O1 O2 O3 O4 O5 x O6 O7 O8 O9 10

………………………………………………………………………………………

C O1 O2 O3 O4 O5 - O6 O7 O8 O9 10

……………………………………………………………………………

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A researcher might assess the pain levels

of a group of patients with low back pain.

After 3 weeks of pain assessment, intervention will be introduced

(O1 O2 O3 x O4 O5 O6).

The results of this study would help the researcher to determine if a specific exercise

is effective in reducing low back pain.

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3. PRE EXPERIMENTAL DESIGN

Pre experimental design: are discussed to provide examples of how not to do research.

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PRE-EXPERIMENTAL DESIGNS:

3.1 The one-shot case study or single case study

In single case study, that studies at once, following a treatment or an agent presumed to cause change. Because the study design has a total absence of control; it is considered to be little value as an experiment

X----------------O

X= independent variables or stimulus

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ONE-SHOT CASE STUDY

Lalitha, Premila & Balu (2006) conducted a study on nursing personnel registered for a day workshop on life skill education at MTIHS, Pondicherry.

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3.2 ONE GROUP PRE-TEST AND

POST-TEST DESIGN

• Here only one group is observed before and after the independent variable is introduced.

• Loss of the control group decreases the usefulness of the study but may be necessary in cases where it is not possible or feasible to have control groups

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E.g. Sailaxmi Gandhi(2006) conducted a pre-experimental study to assess the effectiveness of stress management programme on the selected variables of nurses working in psychiatric wards at NIMHANS, Bangalore.

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II- NON EXPERIMENTAL DESIGN

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Non-experimental

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CONCLUSION

• Quantitative research approach is the commonest

• Replication is possible

• Data analysis is easy

• Researcher’s subjectivity is minimal

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