Essay Evaluation and Research Study Quiz

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Questions and Answers

What is the highest score a student can achieve for 'Format' in the essay evaluation rubric?

  • 2
  • 4 (correct)
  • 3
  • 1

Which of the following indicates a lack of preparation in essay writing according to the rubric?

  • Includes marked draft and prewrite
  • Missing prewrite/outline and draft (correct)
  • Includes a complete draft and prewrite
  • Includes typed final and works cited

What is primarily being investigated in the research study discussed?

  • The effects of nutrition on wakefulness
  • The impact of technology on sleep patterns
  • The correlation between exercise and sleep quality
  • The relationship between ages and sleep duration (correct)

How does the research design mentioned facilitate research operations?

<p>By maximizing information provided with minimal effort (A)</p> Signup and view all the answers

What does a score of '2' in 'Idea Development' signify according to the rubric?

<p>Clear understanding but general observations (B)</p> Signup and view all the answers

Which statement correctly identifies a population in research?

<p>Students from the Sabangin National High School (C)</p> Signup and view all the answers

What is indicated by a score of '1' in the 'Writing' criteria?

<p>Little or no understanding of the text (C)</p> Signup and view all the answers

Which component is NOT taken into account when evaluating the 'Formatting' of the essay?

<p>The clarity of ideas presented (D)</p> Signup and view all the answers

What type of sampling method might be suitable for a study investigating age and sleep patterns?

<p>Random sampling across various age groups (D)</p> Signup and view all the answers

What is one likely goal of the research outlined in the content?

<p>To explore how sleep duration varies with age (B)</p> Signup and view all the answers

In the context of the research study, how is 'sample' defined?

<p>A specific segment of the target population (D)</p> Signup and view all the answers

Which age-related factor is indicated to influence sleep patterns in the content?

<p>The human body clock's regulation of sleep (A)</p> Signup and view all the answers

What might be a significant consideration when identifying the target population for the research?

<p>Ensuring representation across multiple age groups (A)</p> Signup and view all the answers

What is the main characteristic of probability sampling?

<p>It involves a random selection process. (B)</p> Signup and view all the answers

Which non-probability sampling method did Lucas use by selecting respondents based on their ability to provide relevant data?

<p>Judgment sampling (D)</p> Signup and view all the answers

In qualitative research, what concept should ideally be followed in sampling?

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

Which type of probability sampling involves selecting whole groups from a larger population?

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

What distinguishes quota sampling from other non-probability methods?

<p>It specifies the number of subjects from each subgroup. (D)</p> Signup and view all the answers

What type of non-probability sampling is characterized by referrals from one respondent to another?

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

Which of the following is NOT a method of random sampling?

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

What defines systematic sampling in research methodology?

<p>Choosing every nth individual from a list. (C)</p> Signup and view all the answers

What percentage of Filipino households surveyed own a computer?

<p>8% (B)</p> Signup and view all the answers

Which sampling method is commonly used by quantitative researchers to make generalizations?

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

What is a primary disadvantage of attempting to collect data from every individual in a population?

<p>Is time-consuming and logistically difficult (C)</p> Signup and view all the answers

What type of sampling technique includes methods like random sampling and stratified sampling?

<p>Probability sampling (D)</p> Signup and view all the answers

What is the main focus of non-probability sampling methods?

<p>To explore specific hypotheses (B)</p> Signup and view all the answers

In a research scenario, what is generally the first step when planning to conduct sampling?

<p>Identifying the population of interest (D)</p> Signup and view all the answers

What percentage of elementary school children were found to be classified as obese in the recent survey?

<p>28% (C)</p> Signup and view all the answers

What is typically a challenge when conducting a study to measure HIV prevalence in adults?

<p>Logistical difficulty and costs (B)</p> Signup and view all the answers

What is the sampling method used when a sample is selected based on the proportion of different subgroups within the population?

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

Which sampling method is best for surveying a specific group that is difficult to find and requires a targeted approach?

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

What is the primary focus of exploratory research in sampling?

<p>To gather preliminary insights (D)</p> Signup and view all the answers

Which statement best describes non-probability sampling methods?

<p>They do not guarantee that every individual has a chance of selection. (D)</p> Signup and view all the answers

What is a disadvantage of using cluster sampling compared to stratified sampling?

<p>It can lead to higher sampling error. (C)</p> Signup and view all the answers

In what scenario would systematic sampling be most appropriate?

<p>When the entire population is known and can be accessed. (D)</p> Signup and view all the answers

Which of the following sampling methods is often used to reduce costs and time in preliminary research?

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

What type of sampling might you use to create a sample that reflects a specific feature of a population, such as frequent joggers in a park?

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

What is a key feature of non-probability sampling?

<p>Some individuals are selected based on nonrandom criteria. (C)</p> Signup and view all the answers

Why might qualitative researchers prefer non-probability sampling?

<p>It allows for deeper understanding of specific phenomena. (B)</p> Signup and view all the answers

What is the main risk associated with non-probability sampling?

<p>Inability to draw valid inferences about the larger population. (C)</p> Signup and view all the answers

In which situation is non-probability sampling most appropriate?

<p>In exploratory research to develop preliminary insights. (B)</p> Signup and view all the answers

What does it mean when a sample does not represent a larger population?

<p>The likelihood of selection for individuals is unknown. (C)</p> Signup and view all the answers

Which type of research is likely to prioritize non-probability sampling techniques?

<p>Exploratory research in developing new theories. (D)</p> Signup and view all the answers

What might be a reason a researcher would choose a non-probability sample during a pilot study?

<p>To test and refine the research tools without large scale representation. (C)</p> Signup and view all the answers

Which of the following is NOT true about non-probability sampling?

<p>It involves random selection of participants. (B)</p> Signup and view all the answers

Flashcards

Population

A group of individuals, objects, or events that share common characteristics and are the focus of a research study.

Sample

A subset of the population that is selected to represent the larger group in a research study.

Sampling

A research design that uses a sample to make inferences about a population.

Random sampling

A type of sampling where each member of the population has an equal chance of being selected for the sample.

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Non-random sampling

A type of sampling where the researcher selects a sample based on specific criteria or characteristics.

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Probability sampling

Selecting a sample where each member of the population has an equal chance of being selected.

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Non-probability sampling

Selecting a sample based on specific criteria or characteristics.

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Census

A technique to measure certain outcomes in a whole population. This is usually conducted by the government.

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Logistical constraints

The limitations of a research study, such as budget, time, and accessibility.

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Ethics of research

The ethical considerations for conducting research, involving human subjects.

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Prevalence

The prevalence of a condition or characteristic in a target population.

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What is non-probability sampling?

A non-random sampling technique where the likelihood of selecting individuals is unknown. It's used when representing the population is not the main goal.

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When are non-probability samples used?

Non-probability samples are great for exploring a topic in-depth, especially when you have a limited budget or time.

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How do non-probability samples aid qualitativeresearch?

Non-probability sampling techniques help qualitative researchers dive deeper into a topic without worrying about perfectly representing the whole population.

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What is purposive sampling?

It involves selecting individuals based on specific criteria or characteristics, ensuring a diverse representation within a research sample.

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What is snowball sampling?

This sampling technique helps researchers identify and interview individuals who can provide valuable insights about a specific topic or experience.

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What is quota sampling?

A type of sampling where researchers try to make their sample reflect the overall population proportions in terms of gender, age, ethnicity, and other important characteristics.

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What is homogeneous sampling?

This sampling technique is useful when researchers want to collect data from a group of individuals who are all very similar in terms of their experiences or characteristics.

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What is stratified random sampling?

This technique involves researchers selecting individuals randomly within specific categories or subgroups to ensure representation of different segments of the population.

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Convenience sampling

A type of non-probability sampling that involves selecting participants who are easily accessible to the researcher.

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Judgment sampling

A type of non-probability sampling where the researcher selects participants based on their expertise or knowledge of the research topic.

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Quota sampling

A type of non-probability sampling where the researcher selects participants based on their representation of different groups within the population.

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Snowball sampling

A type of non-probability sampling where the researcher selects participants by asking existing participants to suggest others who could be suitable for the study.

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Cluster sampling

A type of probability sampling where the researcher randomly selects groups from a population and then includes all members of the selected groups in the sample.

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Stratified random sampling

A type of probability sampling where the researcher divides the population into subgroups based on relevant characteristics and then randomly selects participants from each subgroup.

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Purposive Sampling

A type of non-probability sampling where researchers choose participants based on specific criteria, aiming for a diverse sample.

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Stratified sampling

A sampling method where the researcher divides the population into subgroups (strata) based on a certain characteristic and then randomly selects a sample from each stratum.

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Systematic sampling

A sampling method where the researcher selects every nth individual from a list or population.

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Study Notes

Inquiries, Investigations, and Immersion

  • This module covers population and sampling methods for quantitative and qualitative research
  • It's designed to help students understand various aspects of population and sampling within research.
  • The module is divided into two lessons: one for quantitative and one for qualitative research
  • Learners are expected to describe how probability and non-probability sampling differ.
  • They should define generalizability and how it relates to probability sampling.
  • The module details various probability sampling types and provides descriptions.
  • Non-probability sampling will be defined and its use cases in research explained.
  • Different types of non-probability samples will be covered in the module.

What I Need to Know

  • This section introduces the concept of narrowing a population and collecting data for research.
  • The module is divided into lessons on populations and sampling from quantitative and qualitative research.
  • Students should understand types of population and sampling needed for research.

What I Know

  • This section contains multiple-choice questions about essential research concepts, including questions about population identification, the survey target, and sampling methods.

Lesson 1: Population and Sampling for Quantitative Research

  • The module discusses research designs for qualitative and quantitative analyses.
  • It describes how and why sampling methods are used (e.g., random samples for generalizing).
  • Types of Probability Samples are explained (e.g., simple random, stratified, cluster, and systematic).

Lesson 2: Population and Sampling for Qualitative Research

  • It explores how research questions influence sample selection.
  • Non-probability sampling methods (e.g., purposive, snowball, quota, convenience) are explained.

What's In

  • This section provides questions and statements for students to categorize as probability or non-probability sampling.

What's New

  • Students are asked to classify statements (e.g., percentages of responses, survey results).
  • The topic is about collecting data from sample populations versus larger populations.

General Notes

  • The module provides definitions of population and sample data, including various types of samples.
  • It also explains how to design a sampling process, sample selection methodologies (qualitative and quantitative), and sampling methods.

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