Methodology Describe Context & setting Design Participants Sampling Power Analysi s Interventions Outcome (study variables) Data Collection Procedures.

Methodology

Describe

Context &

setting

Design

Participants Sampling Power Analysis

Interventions

Outcome (study variables )

Data CollectionProcedures

Methods

Study design and Setting

Participants

Few words can usually do the job.Place and time; where & when the participants were selected.

Who was studied, & how many were studied?Describe important eligibility criteria Refusal to participate, dropouts, & missing informationRandomization, Sampling & Power analysis

Research Design

Analytical Research

Descriptive Research

Experimental Research

Reviews

Case Study Survey

Cross-Sectional

Longitudinal

Correlational

Pre-designs

Quasi-designs

True-designs

Statistical-designs

Meta-Analyses

Analytical Research

• Reviews (with/without) meta-analysis • A systematic review is defined as “a review of the evidence on a clearly

formulated question that uses systematic and explicit methods to identify, select and critically appraise relevant primary research, and to extract and analyze data from the studies that are included in the review.”

• Statistical methods (meta-analysis) may or may not be used to analyze and summarize the results of the included studies

Descriptive Research

• Case Study• A detailed information from a single subject • Often uses a narrative format• May be non-experimental or experimental• Develops a profile of the subject using:

• Visual observation• Interviews/surveys/questionnaires• Objective data

• May provide generalizations about other subjects with similar conditions

Descriptive Research

• Survey• Cross-sectional: Status of a various group (s) at a given point in time. • Observational studies in which all the measurements are performed on a single

occasion (no follow-up period)

• Longitudinal (Cohort): • Status of a given group at various points in time• Prospective vs. Retrospective

• Correlational: Relationships between variables

Experimental Research

• Experimental research involves a direct assessment of how one variable influences another

• This allows the establishment of causalityIndependent variablesDependent variablesControl (confounding) variables

Experimental research design

• Pre-Experimental Quasi-Experimental True-Experimental

Pre-Experimental Research Design

One-shot studies

One-group pretest-posttest

Static group comparison (one shot w/2 groups)T X O1

O2

T

Quasi-Experimental Designs

Quasi-experimental designs: Experiments that have treatments, outcome measures, and experimental conditions but that do not use random selection and assignment to treatment conditions. Non-equivalent control group design Time series Single subject designs (Case study)

TO1 O2 O3 O4 O5 O6

True Experimental Designs

Characteristics of true experimental designs Manipulation (treatment) Randomization (sampling of subject& assignment of subject) Control group One independent variable

Types• Posttest control group design• Pretest-posttest control group design

• Pre-testing – The measurement of a dependent variable along subjects before they have been exposed to an independent variable.

• Post-testing – The measurement of a dependent variable among subjects after they have been exposed to an independent variable.

Experimental Group – A group of subjects to whom an experimental stimulus is administered.

Control Group – A group of subjects to whom no experimental stimulus is administered and who should resemble the experimental group in all other respects.

Post-test Only Control Group Design

• One group is administered a treatment.• NO experimental treatment or procedures is administered to second group. • Pretest are not taken on each group. • Posttest measurements are taken on each group.

T X O2P O2

• Statistical test Independent t test (parametric) Wilcoxon signed rank test (non-Parametric)

Pre-test-post-test control group design

• One group is administered a treatment.• NO experimental treatment or procedures is administered to second group. • Pretest and Posttest measurements are taken on each group.

R O1 X O2R O1 O2

• Statistical test Paired t test (parametric) Wilcoxon signed rank test (non-Parametric)

Solomon Four-Group Design

• This design involves four groups. • Two of the groups experimental and two control.• Two groups include no pre-test (so that the effects of the pretest can be evaluated). • All group include Posttest.

Statistical test Covariance analysis

Participants

Participants

Inclusion criteria

Exclusion criteria Sampling

Consent form

Sampling

Target Pop.

(N)

Sample (n)

• Effective Sampling produces a n which is representative of N

• Note: n is only ever representative of the N it was drawn from, i.e. not necessarily the general population.

17SAMPLING BREAKDOWN

Types of Samples

18

• Probability (Random) Samples• Simple random sample

• Systematic random sample• Stratified random sample• Cluster sample

• Non-Probability Samples: Convenience sample

3 factors that influence sample representativenessSampling procedureSample sizeParticipation (response)

Methods

Intervention

Outcome measures

Data collection procedures

Statistical analysis

Describe new methods in enough detail that another researcher can reproduce your experiment. Describe established methods briefly, and simply cite a reference where readers can find more detail

State all statistical tests and parametersOrdinary ones without comments, Advanced or unusual ones require citation

Intervention(s) or Main exposure(s). include interventions that were controlled by the investigators or exposures that the investigators measured but did not manipulate,

Describe new methods in enough detail that another researcher can reproduce your experiment. Describe established methods briefly, and simply cite a reference where readers can find more detail. Report reliability and validity and moreover, if you test it

Methodology

It is first section of the paper in which subheadings should be used .

Cut and-past from previous work of the author(s), not somebody else’s.

Enough information must be given so that the models/experiments can be reproduced.

If new measures, methods describe in detail.

If the method has been previously published in a scientific journal, only the reference should be given with some identification.

Don’t mix some of the results in this section.

Write in the Future (Past) tense

Avoid use of trades names (usually generic or chemical name)