Experimental Design Quiz

<p>The number of tomato fruits. (C)</p> Signup and view all the answers

<p>Single group design (A)</p> Signup and view all the answers

<p>Isolation of a single variable as the independent variable. (D)</p> Signup and view all the answers

<p>Two-pair group design (C)</p> Signup and view all the answers

<p>The number of levels of the independent variable. (C)</p> Signup and view all the answers

<p>Complete Randomized Design (CRD) (A)</p> Signup and view all the answers

<p>The RCBD uses a control group while the CRD does not. (C)</p> Signup and view all the answers

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

<p>To prevent the control group from being exposed to the independent variable. (B)</p> Signup and view all the answers

<p>Pre-test Post-test group design (B)</p> Signup and view all the answers

<p>To ensure any differences observed between groups are due to the independent variable. (C)</p> Signup and view all the answers

<p>Correlational Design (C)</p> Signup and view all the answers

<p>Pre-test Post-test group design (C)</p> Signup and view all the answers

<p>All tasks and procedures can be completed within the allocated time frame. (A)</p> Signup and view all the answers

<p>Principle of Generalizability (C)</p> Signup and view all the answers

<p>To provide a structured framework for conducting the research. (A)</p> Signup and view all the answers

<p>Testing the design in different contexts and theorizing findings. (C)</p> Signup and view all the answers

<p>Principle of Reliability (B)</p> Signup and view all the answers

<p>Principle of Objectivity (D)</p> Signup and view all the answers

<p>Determining the accuracy and correctness of conclusions. (D)</p> Signup and view all the answers

<p>Principle of Flexibility (A)</p> Signup and view all the answers

<p>It ensures that every element of the population has an equal chance of being selected. (A)</p> Signup and view all the answers

<p>When the target population is hard to reach or identify. (C)</p> Signup and view all the answers

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

<p>When the population is geographically dispersed and difficult to access directly. (B)</p> Signup and view all the answers

<p>It combines two or more probability sampling techniques. (B)</p> Signup and view all the answers

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

<p>Snowball sampling (C)</p> Signup and view all the answers

<p>A study of the impact of a new fertilizer on crop yield across different regions. (D)</p> Signup and view all the answers

<p>It ensures that the results accurately reflect the characteristics of the entire population. (B)</p> Signup and view all the answers

<p>It allows researchers to explore unexpected findings, which can lead to new research directions. (D)</p> Signup and view all the answers

<p>384 (A)</p> Signup and view all the answers

<p>The size of the population being studied. (C)</p> Signup and view all the answers

<p>To ensure that the research findings can be generalized to the entire population. (A)</p> Signup and view all the answers

<p>It may lead to inaccurate and misleading results. (D)</p> Signup and view all the answers

<p>To estimate the potential variability in the research findings. (D)</p> Signup and view all the answers

<p>The methods used to select a representative sample from a population. (D)</p> Signup and view all the answers

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

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

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

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

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

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

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

<p>The selection process is subjective and prone to bias. (A)</p> Signup and view all the answers

A framework for planning and conducting a study effectively.

A method to obtain a representative portion of a population.

The entire group of individuals from which a sample is taken.

n = N / (1 + N * e), used to determine sample size.

The range of values within which the true population parameter lies.

A sample that accurately reflects the characteristics of the population.

Sampling saves time, money, and effort when gathering data.

A technique where a sample is drawn from different sections of the population.

Allows for adjustments to be made during the research process.

Completing research tasks within a set timeframe is essential.

Research designs can be repeated by others to confirm findings.

Design should produce specific and clear findings, avoiding bias.

Findings should be applicable to a larger population beyond the sample studied.

The consistency of results when the same methods are applied to the same sample.

Ensures research conclusions are sound and integrity is maintained throughout the study.

A scientific study using two sets of variables to measure differences.

Uses one group treated at multiple levels without a control group.

Involves an experimental and a control group for comparison.

An extension of two-group design with two control and two experimental groups.

Uses two or more groups simultaneously with only one variable manipulated.

The group that does not receive the experimental treatment.

The group that receives the treatment being tested.

Research methods involving numerical data and statistical analysis.

A sampling technique where sample members are chosen based on the researcher’s judgment, not randomly.

Results from non-probability sampling may be biased as not every population member has a chance to be included.

A non-probability sampling method where samples are selected based on ease of access.

A method that selects samples to maintain the proportion of subgroups in the population.

Researchers select samples based on their knowledge of who is fit to participate in the study.

A technique where existing study subjects recruit future subjects from among their acquaintances.

Another name for non-probability sampling emphasizing the researcher’s discretion in selection.

The degree to which a sample reflects the characteristics of the entire population.

A technique used to gather a sample by asking current subjects for similar subject referrals.

A sampling method where each member of the population has an equal chance of selection.

A sampling method where every possible sample of the same size is equally likely to be chosen.

A sampling method where elements are selected at regular intervals like every nth member.

A method that divides the population into strata and samples from each to ensure representation.

Sampling from each stratum to ensure that the sample reflects the population distributions.

A technique where the population is divided into clusters and samples are taken from specific clusters.

A sampling technique combining two or more sampling methods for broader population coverage.

A study design where subjects are randomly assigned to treatments without a control group.

Different amounts of feed provided to test their effect on yield.

A design using groups (blocks) of subjects to control for variability, with treatments and a control group.

A design to study the relationship between two dependent variables influenced by an independent variable.

A design involving both an experimental and control group, measuring results before and after treatment.

The specific condition or intervention applied in an experiment to observe effects.