Control in research means holding all variables constant except the one being tested, isolating the treatment's effect and strengthening confidence in causal conclusions.
The independent variable is the factor manipulated by the researcher, in this case the teaching method, which is expected to influence the outcome measured.
The criterion variable, also called the dependent variable, is the outcome being measured, here students' achievement resulting from the manipulated teaching method.
A moderating variable affects the strength or direction of the relationship between independent and dependent variables, here age influencing how method impacts achievement.
An intervening variable explains the mechanism linking the independent and dependent variables, here motivation mediates how the teaching method influences achievement outcomes.
Haphazard Sampling is another name for Convenience Sampling. This non-probability sampling method involves selecting participants who are readily available and easily accessible, without any systematic or random selection process. The other options are distinct sampling techniques.
Purposive Sampling is correct because it involves the researcher deliberately selecting participants based on their judgment of who will be most useful for the study's objectives.
Quota Sampling is correct as it involves selecting participants to meet predefined numbers or proportions for specific subgroups, ensuring representation of certain characteristics.
Snowball Sampling is correct because it's a non-probability technique where initial participants recruit additional ones from their network, creating a chain.
Snowball Sampling is correct because it leverages existing social networks, allowing researchers to access hidden or hard-to-reach populations through referrals from initial participants.
Snowball Sampling is correct as it involves participants referring others, establishing a chain of recruitment based on an established method (referral).
Convenience Sampling is correct because it selects participants based on their easy accessibility, often leading to a biased and non-representative sample due to its non-random nature.
Random Selection is correct. Probability sampling ensures every population member has a known, non-zero chance of inclusion, enhancing generalizability by minimizing bias.
Qualitative Methods are correct as they focus on understanding experiences, meanings, and in-depth insights, making them ideal for descriptive and exploratory studies.
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.
The Null Form of a hypothesis specifically states that there is no significant difference or relationship between the variables. Declaration, Question, and Prediction Forms all imply some form of relationship or inquiry.
The Population is the entire group a researcher is interested in studying and from which a sample is drawn. A Sample is a subset of the population. Data refers to collected information.
Researchers generalize findings from a sample back to the larger Population from which the sample was drawn. The Sample is the subset studied, not the group for generalization. Data is information, not a group.
A Sample is a small, representative subset of a larger population chosen for observation and analysis. The Population is the entire group, and Data refers to the information collected, not the group itself. Therefore, 'Sample' is the accurate term.
The characteristics of a Sample are intended to represent the characteristics of the larger Population from which it was drawn. This allows researchers to make inferences about the whole group. Experience and Data are not the entities being represented.
The process of selecting individuals to represent a larger group is called Sampling. Data Collection is a broader term for gathering information, and Population refers to the entire group, not the selection process. Therefore, 'Sampling' is correct.
Probability Sampling is a method where every individual in the population has a known, non-zero chance of being selected, allowing for statistical inference. Non-probability Sampling methods do not guarantee this known chance, and Purposive and Convenient Sampling are types of non-probability sampling.
A Non-Directional Hypothesis is correct because it states that a relationship or difference exists between variables without specifying the nature or direction of that relationship.