Stratified Sampling ensures that subgroups (strata) within the population are represented in the sample in the same proportion as they exist in the population. Systematic, Random, and Cluster Sampling do not primarily focus on proportional subgroup representation in this specific manner.
Accepting the Null Hypothesis means any observed difference is likely due to chance, not a true effect, hence it is not statistically significant. Rejecting it implies a significant difference. "Significant and statistical" is incorrect as it implies rejection.
Random Sampling (or Simple Random Sampling) is a method where every individual in the population has an equal and independent chance of being selected. Stratified Sampling and Systematic Sampling are specific types of probability sampling, but 'Random Sampling' is the general term for equal chance.
Rejecting the Null Hypothesis indicates that the observed difference between variables is unlikely due to chance, meaning it is statistically significant. "Not significant and statistical" would imply acceptance of the null hypothesis.
Systematic Sampling involves selecting individuals from a list at a fixed, predetermined interval after a random starting point. Stratified Sampling uses subgroups, and Random Sampling is a general equal-chance method. Double Sampling is a multi-phase approach.
Hypotheses can originate from various sources, including general culture, established scientific theories, and researchers' personal experiences and analogies. Therefore, all listed options contribute to hypothesis formulation.
Double Sampling (also known as Two-Phase Sampling) involves drawing a large initial sample and then taking a smaller subsample from it for more detailed or costly analysis. The other options describe different single-phase sampling methods, not this two-stage process.
A hypothesis in Declaration Form explicitly states a relationship between variables. Null Form states no relationship. Question Form poses it as an inquiry. Prediction Form anticipates an outcome, often a type of declaration.
Convenience sampling, also known as accidental sampling, involves selecting participants who are readily available and easy to access.
A hypothesis in Prediction Form anticipates a specific outcome or relationship between variables. Declaration Form states a relationship generally. Null Form states no relationship. Question Form asks about a relationship.
Purposive sampling, also called judgment sampling, relies on the researcher's expertise to select participants who are most relevant to the study's objectives.
A hypothesis in Question Form frames the relationship between variables as an inquiry. Declaration Form states a relationship directly. Null Form states no relationship. Prediction Form anticipates an outcome.
Historical research reports often focus on narrative, interpretation of primary/secondary sources, and chronological presentation. This differs significantly from the structured, statistical, and methodological reporting typical of descriptive and experimental research.
Longitudinal studies track changes over time. Trend surveys examine general population changes, cohort surveys follow specific subgroups, and panel surveys track the same individuals. Follow-up surveys are also a type of longitudinal design. Thus, both categories are correct.
Descriptive research aims to describe characteristics of a population or phenomenon. Predicting voting behavior falls under describing a future state or trend.
Causal-comparative research investigates cause-and-effect relationships where the independent variable has already occurred and cannot be manipulated.
Correlational research specifically investigates the statistical relationship between two or more variables without manipulation.
Causal-comparative research compares pre-existing groups that differ on an independent variable to determine its effect on a dependent variable.
A correlation coefficient is a numerical measure quantifying the strength and direction of a linear relationship between two variables.
Multimethod research involves using multiple research methods, which can include both qualitative and quantitative approaches. This is often seen in mixed-methods studies, combining the strengths of both paradigms for a comprehensive understanding.
Goode and Hatt are the renowned authors of the book "Methods in Social Research." This is a factual recall question.
A hypothesis is a testable, tentative statement or prediction about the relationship between variables, based on existing knowledge.
A Teaching Method is an example of an independent variable because it can be manipulated by the researcher to observe its effect.
Inductive reasoning moves from specific observations to broader generalizations, forming an inductive hypothesis.
Test scores are a classic example of a dependent variable, as they are the outcome measured and expected to change in response to an independent variable.