Understand and Analyze

Limit the scope of the study to make the findings more significant.

Decrease the sample size to focus on specific cases.

Increase the sample size to improve generalizability.

Use only qualitative data to provide depth of understanding.

It validates the reliability and generalizability of original research findings within a field.

It undermines original studies by exposing flaws in their experimental designs exclusively.

It replaces old data with new data even if there's no difference in outcomes between studies.

It discourages innovation by focusing on what has already been discovered instead of new inquiries.

So they can limit their study strictly around these inadequacies rather than developing a broad understanding of the topic area.

Because these gaps may represent opportunities for contributing original insights or further investigation through their research projects.

Because finding flaws in previous studies diminishes those researchers' credibility which strengthens the student's position.

Because it allows them to solely focus their efforts on areas where there's already ample evidence available.

Provide a basis for dismissing any contrary opinions since the bulk of evidence seems to favor one side of the debate.

Indicate consensus exists among scholars concerning a particular aspect, therefore highlighting the importance of understanding its implications and underlying reasons why such agreement might occur.

Imply the necessity to exclude potential counterarguments from the final paper on the grounds of overwhelming support for the predominant viewpoint.

Suggest the necessity to revisit foundational premises of the question and dispute the validity of diverse interpretations in light of the prevailing thought pattern present in academia.

Respondents might answer more truthfully, increasing the reliability of data collected internationally.

Translated questionnaires ensure complete consistency in responses across different cultural groups.

The meaning of questions could be altered during translation, affecting participants' responses.

The use of multiple languages makes it easier for researchers to compare international datasets accurately.

Axiomatic Approach

Inductive Approach

Hypothetico-Deductive Method

Deductive Approach

Sole reliance on personal interviews with participants regarding their views on nutrition education's efficacy without correlating data points.

Only administering pre- and post-intervention knowledge quizzes about nutrition education topics.

Utilizing just one type of dataset, either from physical health measurements or participant self-reports, but not both concurrently.

Triangulating results from dietary behavior surveys with findings from focus group discussions about eating habits.

It provides faster results due to less variety in data collection techniques.

It simplifies the study design by focusing on numerical data only.

It combines the depth of qualitative data with the breadth of quantitative data.

It relies solely on statistical analysis for more objective findings.

Considering triangulation application strengthens trustworthiness by correlating findings across different sources or researchers’ perspectives.

Analyzing whether researchers kept reflexivity statements detailing their own biases increases credibility by acknowledging potential subjectivity influence on interpretations.

Evaluating if saturation was reached affirms thoroughness as repeating themes indicate sufficiently comprehensive data collection efforts were made.

Assessing if data collection methods were age-appropriate ensures ethical standards while reflecting adolescents’ comprehension abilities accurately.

Observer bias where researchers' expectations influence their interpretation of results.

The placebo effect where participants experience benefits from non-active components of an intervention.

The Hawthorne effect where participants alter their behavior due to awareness of being observed.

Sampling bias where certain groups are overrepresented within the sample population.