Sampling Methods and Design

<p>927 (A)</p> Signup and view all the answers

<p>3 (A)</p> Signup and view all the answers

<p>Budgetary constraints (A)</p> Signup and view all the answers

<p>To define the population from which the sample will be drawn (D)</p> Signup and view all the answers

<p>Random (B)</p> Signup and view all the answers

<p>Convenience Sampling (A)</p> Signup and view all the answers

<p>Larger variance requires a larger sample size. (C)</p> Signup and view all the answers

<p>It is difficult to ensure that the sample is representative of the population. (D)</p> Signup and view all the answers

<p>Systematic bias cannot be reduced by increasing the sample size, while sampling error can. (C)</p> Signup and view all the answers

<p>The use of a non-probability sample (C)</p> Signup and view all the answers

<p>A census inquiry collects data from the entire population, while a sample survey collects data from a representative subset. (C)</p> Signup and view all the answers

<p>The smallest unit of a population that can be selected for a sample. (C)</p> Signup and view all the answers

<p>To ensure that the sample is representative of the population. (C)</p> Signup and view all the answers

<p>All the students in a particular university (C)</p> Signup and view all the answers

<p>Analyzing the data collected from the sample (C)</p> Signup and view all the answers

<p>To make inferences about the entire population based on the sample. (B)</p> Signup and view all the answers

<p>It allows the researcher to make generalizations about the population. (C)</p> Signup and view all the answers

<p>Sampling ensures that the results of a study are generalizable to the entire population. (A)</p> Signup and view all the answers

<p>It is often used for qualitative research. (D)</p> Signup and view all the answers

<p>Quota Sampling (B)</p> Signup and view all the answers

<p>It can lead to biased results. (B)</p> Signup and view all the answers

<p>It helps reach hard-to-access populations. (B)</p> Signup and view all the answers

<p>To study a specific phenomenon or group in depth. (A)</p> Signup and view all the answers

<p>To ensure that the sample represents the entire population. (C)</p> Signup and view all the answers

<p>Probability sampling allows researchers to make generalizations to the population. (D)</p> Signup and view all the answers

<p>To randomly select students for the sample. (D)</p> Signup and view all the answers

<p>Stratified Random Sampling (B)</p> Signup and view all the answers

<p>Multi-stage Sampling (C)</p> Signup and view all the answers

<p>Systematic Sampling (A)</p> Signup and view all the answers

<p>Stratified Random Sampling (B)</p> Signup and view all the answers

<p>Multi-stage Sampling (B)</p> Signup and view all the answers

<p>Cluster Sampling (C)</p> Signup and view all the answers

<p>It can lead to the Hawthorne effect, where participants behave differently under observation. (B)</p> Signup and view all the answers

<p>When it's easier to reach a group of individuals with shared characteristics than to reach each individual separately. (C)</p> Signup and view all the answers

<p>Simple Random Sampling (A)</p> Signup and view all the answers

<p>It can lead to inaccurate or incomplete data, impacting the research findings. (A)</p> Signup and view all the answers

<p>To maximize the generalizability of the research findings. (D)</p> Signup and view all the answers

<p>Ensures a small sample size (A)</p> Signup and view all the answers

<p>It minimizes the risk of bias in the sample. (C)</p> Signup and view all the answers

<p>It does not allow for in-depth exploration of individual experiences. (B)</p> Signup and view all the answers

<p>It is primarily concerned with exploring and understanding the experiences of individuals. (C)</p> Signup and view all the answers

The entire group of units the study focuses on.

A data gathering where all members of the population are included.

A data gathering method using a representative subset of the population.

A plan for selecting a sample from a given population.

A population with a known number of items or units.

A population without a specific number of items.

The specific element chosen from the population for study.

Drawing conclusions about a population from analysis of a sample.

A tool that selects samples based on chance.

Every member is listed, samples chosen at regular intervals.

Population divided into strata, ensuring representation from each subgroup.

A subgroup within a population that shares common characteristics.

Divides population into clusters, samples whole clusters instead of individuals.

A layered sampling process where larger areas are narrowed down step by step.

Purpose of multi-stage sampling focuses on specific locations.

Represents the whole population by calculating sizes of samples from subgroups.

Participants may behave differently when observed compared to unobserved situations.

Participants may withhold correct data, introducing systematic bias into research.

Statistical error when a sample does not represent the entire population.

A good sample design must yield a representative sample with low sampling error.

Every item in the population has an equal chance of being included in the sample.

A sampling method giving equal opportunity by randomly selecting from the entire population.

Sampling method where not all individuals have a chance to be included.

Bias introduced in research when some respondents are more likely to be included than others.

A comprehensive list of all items in a universe for sampling.

The sample size that efficiently represents the population.

Specific characteristics in a population relevant to the study.

Cost considerations influencing sample size and type.

The method used to select items for a sample.

When the list used for sampling misrepresents the universe.

Individuals who do not participate in the study, affecting sample accuracy.

A risk in nonprobability sampling where results cannot be generalized to the whole population due to the biased selection of samples.

Participants are chosen based on certain characteristics to match the wider population's distribution.

A method where existing study subjects recruit future subjects from among their acquaintances, used for hard-to-reach populations.

Participants are selected based on their availability and ease of access, not representation.

Deliberate selection of specific individuals or settings to gather important information not obtainable elsewhere.

A technique where each member of a population has an equal chance of being selected, ensuring randomness.

A distinct number assigned to each member of a population for identification in sampling.

A unique identifier assigned to each item in a sample or population.

The fixed interval at which items are selected from a population.

The order in which items are picked based on predefined rules.