Research Methods and Evidence-based Practice in PCOS

**Academic Integrity #

** The principle of being honest and responsible in academic work, including conducting and reporting research in a truthful and transparent manner, properly citing sources, and avoiding plagiarism.

**Ad Randomization #

** A type of randomization in which participants are randomly assigned to different groups or interventions without any specific criteria or restrictions.

**Bias #

** Any systematic error or distortion in research that can lead to inaccurate or misleading results, such as selection bias, measurement bias, or confounding bias.

**Clinical Significance #

** The practical importance or relevance of a research finding or intervention, in terms of its impact on patient outcomes, symptoms, or quality of life.

**Confidence Interval #

** A statistical measure that indicates the range of values within which a population parameter is likely to fall, based on a sample of data.

**Confounding Variable #

** A variable that is associated with both the exposure and the outcome in a study, and can therefore cause a spurious association or mask a true association.

**Control Group #

** A group of participants in a study who do not receive the intervention being tested, and serve as a comparison group for the experimental group.

**Data Analysis #

** The process of examining, cleaning, transforming, and modeling data to extract insights, test hypotheses, and draw conclusions.

**Data Collection #

** The process of gathering and measuring information on variables of interest, using standardized and validated tools and methods.

**Data Interpretation #

** The process of making sense of data, identifying patterns, trends, and relationships, and drawing conclusions based on evidence.

**Data Saturation #

** A point in data analysis where no new information or insights are emerging, and further data collection is unlikely to add value to the study.

**Dependent Variable #

** The outcome or effect that is being measured or tested in a study, and is expected to vary depending on the independent variable.

**Descriptive Statistics #

** The branch of statistics that deals with summarizing and describing data, using measures of central tendency, variability, and distribution.

**Effect Size #

** A statistical measure that indicates the magnitude or strength of a relationship or effect between variables, such as the difference between two groups or the correlation between two variables.

**Evidence #

based Practice:** The use of the best available evidence, clinical expertise, and patient values and preferences to inform clinical decision-making and improve patient outcomes.

**Experimental Design #

** A research design that involves manipulating one or more independent variables and measuring their effect on a dependent variable, using random assignment and control groups.

**Experimental Group #

** A group of participants in a study who receive the intervention being tested, and are compared to the control group.

**External Validity #

** The degree to which a research finding or intervention can be generalized or applied to other populations, settings, or contexts.

**Hawthorne Effect #

** A type of bias that occurs when participants in a study change their behavior due to being observed or studied, rather than the intervention itself.

**Hypothesis Testing #

** The process of testing a research hypothesis or prediction, using statistical methods and probability theory to determine the likelihood of the observed results.

**Independent Variable #

** The exposure or cause that is being manipulated or tested in a study, and is expected to have an effect on the dependent variable.

**Inferential Statistics #

** The branch of statistics that deals with making inferences or predictions about a population based on a sample of data.

**Internal Validity #

** The degree to which a research finding or intervention is free from bias, confounding, and other threats to the validity of the study.

**Measurement Bias #

** A type of bias that occurs when the measurement or assessment of variables is systematically different between groups or over time, leading to inaccurate or distorted results.

**Meta #

analysis:** A statistical technique that combines the results of multiple studies or trials, to increase the power, precision, and generalizability of the findings.

**Normal Distribution #

** A symmetrical and bell-shaped distribution of data, characterized by a mean, standard deviation, and range of values.

**Observational Study #

** A research design that involves observing or measuring variables in a natural or real-world setting, without any manipulation or intervention.

**Operational Definition #

** A specific and measurable definition of a variable or concept, used to ensure consistency and accuracy in data collection and analysis.

**Outlier #

** A data point that is significantly different from other values in the dataset, and may influence the results or interpretation of the study.

**P #

value:** A statistical measure that indicates the probability of observing the

observed results or more extreme results, assuming that the null hypothes… #

observed results or more extreme results, assuming that the null hypothesis is true.

**Parametric Test #

** A statistical test that assumes a specific distribution or shape of the data, such as the normal distribution, and uses parameters such as mean and standard deviation to make inferences about the population.

**Pearson Correlation Coefficient #

** A statistical measure that indicates the strength and direction of the linear relationship between two continuous variables, using a scale from -1 to +1.

**Placebo #

** A sham or inactive treatment that is used as a control or comparison group in a study, to isolate the specific effect of the intervention being tested.

**Population #

** The entire group or universe of interest that a study aims to represent or generalize to, such as all women with PCOS.

**Power #

** The probability of detecting a significant effect or difference between groups, if one exists in the population, based on the sample size, effect size, and significance level.

**Probability Sample #

** A sample of participants or data that is randomly selected from a population, using a specific sampling method or design, to ensure representativeness and generalizability.

**Qualitative Research #

** A research approach that involves collecting and analyzing non-numerical or textual data, using methods such as interviews, focus groups, or observations, to understand experiences, meanings, and perceptions.

**Quantitative Research #

** A research approach that involves collecting and analyzing numerical or statistical data, using methods such as surveys, experiments, or observational studies, to test hypotheses and make inferences about relationships or effects.

**Randomization #

** The process of assigning participants or data to different groups or conditions in a study, using a random or chance process, to minimize bias and ensure comparability.

**Randomized Controlled Trial (RCT) #

** A type of experimental design that involves randomly assigning participants to different groups, such as an intervention group or a control group, to test the efficacy or effectiveness of an intervention.

**Reliability #

** The consistency or stability of a measurement or assessment over time or across different raters, indicating the degree to which the results are free from random error or measurement error.

**Representative Sample #

** A sample of participants or data that is similar or comparable to the population of interest, in terms of demographic or clinical characteristics, and can therefore be used to make generalizations or inferences about the population.

**Research Ethics #

** The principles and guidelines that govern the responsible and ethical conduct of research, including informed consent, confidentiality, and data protection.

**Research Hypothesis #

** A tentative or provisional statement or prediction about the relationship or effect between variables, based on previous research, theory, or observation.

**Sample #

** A subset or subgroup of participants or data that is selected from a population, using a specific sampling method or design, to represent or generalize to the population.

**Sampling Bias #

** A type of bias that occurs when the selection of participants or data is not random or representative of the population, leading to inaccurate or distorted results.

**Sampling Error #

** The difference or discrepancy between the sample statistics and the population parameters, due to the randomness or variability of the sample.

**Sampling Frame #

** The list or database of participants or data that is used to select a sample, such as a patient registry, a research database, or a survey sample frame.

**Standard Deviation #

** A statistical measure that indicates the variability or dispersion of a dataset, around the mean or average value, using a scale of units.

**Statistical Significance #

** The likelihood or probability of observing the

observed results or more extreme results, based on a predetermined signif… #

05.

**Stratified Sampling #

** A sampling method that involves dividing the population into strata or subgroups based on specific criteria or variables, such as age, gender, or ethnicity, and then selecting a random sample from each stratum, to ensure representation and comparability.

**Systematic Review #

** A comprehensive and critical evaluation of the available evidence on a specific research question or topic, using explicit and transparent methods, such as a search strategy, inclusion and exclusion criteria, and data extraction and synthesis.

**t #

test:** A statistical test that compares the means or averages of two groups or samples, to determine if there is a significant difference