Practical Research 2 - Module 1
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Questions and Answers

What is the first step in determining the sample size?

  • Deciding the sampling method
  • Identifying the sample characteristics
  • Identifying the population (correct)
  • Selecting the research design

The target population includes only those that the researcher can access easily.

False (B)

What is the difference between the target population and accessible population?

The target population is the total group of interest, while the accessible population is the part of that group the researcher can realistically study.

The actual population in a research study is referred to as the ________ population.

<p>target</p> Signup and view all the answers

Match the following terms with their descriptions:

<p>Target Population = The entire group of interest to the researcher Accessible Population = The portion of the population that is reachable Sample Size = The number of individuals selected from the population Research Design = The overall strategy for conducting the research</p> Signup and view all the answers

Which of the following best describes the accessible population in a research study?

<p>All students in a specific school (D)</p> Signup and view all the answers

Sampling procedures should be aligned with the chosen research design.

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

Why is it important to define the characteristics of participants in a study?

<p>It helps ensure that the selected sample is relevant and representative of the population being studied.</p> Signup and view all the answers

What is the sample size for Grade 8 students based on the given ratios?

<p>65 (D)</p> Signup and view all the answers

Cluster sampling requires the researcher to create heterogeneous groups.

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

What sampling method involves selecting every nth individual from a population?

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

After obtaining the sample size per strata, ____________ will be done for the selection of samples from each group.

<p>simple random sampling</p> Signup and view all the answers

Match the sampling methods with their descriptions:

<p>Cluster Sampling = Grouping based on geographic or other clusters Systematic Sampling = Selecting every nth individual from a list Simple Random Sampling = Each member has an equal chance of selection Stratified Sampling = Population divided into subgroups before sampling</p> Signup and view all the answers

Which of the following is NOT a characteristic of cluster sampling?

<p>It involves only random sampling. (A)</p> Signup and view all the answers

In systematic sampling, the interval is derived from dividing the population size by the sample size.

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

In cluster sampling, what are the clusters based on?

<p>Homogenous characteristics</p> Signup and view all the answers

What is the main goal of sampling in research studies?

<p>To get information from a representative subset (C)</p> Signup and view all the answers

A good sample must represent characteristics of the entire population accurately.

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

What is a key characteristic of experimental research design?

<p>It controls or manipulates the independent variable. (A)</p> Signup and view all the answers

What is an example of a population in the context of sampling?

<p>All 240 Senior High School Students enrolled in STEM Strand.</p> Signup and view all the answers

Quasi-experimental designs involve random assignment to groups.

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

In a survey, a recommended sample size is _______ participants.

<p>800</p> Signup and view all the answers

What are research interventions used for in a study?

<p>To apply particular conditions or treatments to the independent variable.</p> Signup and view all the answers

Match the research design with its suggested sample size:

<p>Descriptive Research = 10% to 20% Comparative Research = 15 subjects or groups Correlational = 100 to 200 Experimental = 30 or more</p> Signup and view all the answers

In experimental research, the researcher decides the nature of the __________.

<p>intervention</p> Signup and view all the answers

Which of the following statements is true about sample size?

<p>The reliability of a sample depends on both its size and the research design. (D)</p> Signup and view all the answers

Match the research intervention types with their characteristics:

<p>Usual Tutorial Program = Control group intervention Special Tutorial Program = Experimental group intervention</p> Signup and view all the answers

Sampling leads to lower generalizability of research findings.

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

Which of the following statements is correct regarding the nature of a special tutorial program?

<p>It is designed to offer different learning conditions. (C)</p> Signup and view all the answers

What is one heuristic approach in determining sample size mentioned?

<p>General rule or rule of thumb for sample size.</p> Signup and view all the answers

Experimental research design is safer as it eliminates all variables.

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

What is the purpose of writing research questions in a study?

<p>To guide the research design and determine the focus of the study.</p> Signup and view all the answers

What is the primary focus of data analysis in research?

<p>To summarize gathered information (D)</p> Signup and view all the answers

A prerequisite for taking Practical Research 2 is knowledge of Economics and Finance.

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

What should be considered when planning data analysis in quantitative research?

<p>Research problem, type of data, hypothesis, and scale used.</p> Signup and view all the answers

Data analysis involves summarizing gathered information to yield answers to the ________ questions.

<p>research</p> Signup and view all the answers

Match the correct term with its description:

<p>Research problem = An issue that the research aims to address Quantitative research = Research that focuses on numerical data Hypothesis = A proposed explanation made on the basis of limited evidence Scale = A system used to measure or categorize data</p> Signup and view all the answers

What should you do after correcting your data gathering procedures?

<p>Incorporate it into your research manuscript (C)</p> Signup and view all the answers

The lesson on planning data analysis assumes that students have no prior knowledge of statistics.

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

What is necessary before designing the data analysis procedure?

<p>Understanding the type of data and the research problem.</p> Signup and view all the answers

What type of analysis is used when studying the relationship between two variables?

<p>Bivariate analysis (D)</p> Signup and view all the answers

A sample size fewer than 30 is appropriate for parametric tests.

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

What should be considered when selecting statistical techniques in quantitative research?

<p>The purpose or objective of the research study.</p> Signup and view all the answers

The analysis of more than two variables is referred to as ________ analysis.

<p>multivariate</p> Signup and view all the answers

Match the type of scale with the appropriate statistical test:

<p>Interval or Ratio Scale = Parametric Tests Ordinal Scale = Non-parametric Tests Nominal Scale = Non-parametric Tests 30 or more per group = Parametric Tests</p> Signup and view all the answers

Flashcards

Research Design

A plan for conducting research, determining the approach and methods to collect and analyze data.

Population

The entire group of people, objects, or events of interest to a study.

Target Population

The complete group to study but not the group you actually study

Accessible Population

The smaller group of the target population the researcher can study.

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Sampling Procedure

A method to select participants from a population for a study.

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Sample Size

The number of participants or subjects selected for a study.

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Quantitative Research

Research that uses numerical data and statistical analysis.

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Research Design Alignment

Matching the sampling procedure to the chosen research approach.

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Sampling

A systematic process of selecting a part of a population for research, aiming to represent the whole population.

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Sample

A representative subset of a larger population used in research.

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Representative Sample

A sample that accurately reflects the characteristics of the larger population.

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Generalizability

The extent to which findings from a sample can be applied to the larger population.

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Heuristics (sample size)

General rules of thumb for determining appropriate sample size based on common research designs.

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Literature review (sample size)

Using similar research studies as a guide to determine an appropriate sample size.

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Stratified Random Sampling

Dividing a population into subgroups (strata) based on shared characteristics, then randomly selecting samples from each stratum.

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Sample size per stratum

The number of samples needed from each subgroup in a stratified random sample.

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Cluster Sampling

Dividing a population into clusters, selecting some clusters, and including all members of the selected clusters.

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Systematic Sampling

Selecting samples based on a fixed interval (e.g., every nth person) from a list.

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Simple Random Sampling

Each member of the population has an equal chance of being selected.

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Research Intervention

The actions or treatments the researcher applies to the study group to control or manipulate the independent variable in experimental research.

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Experimental Research Design

A research design where the researcher actively controls or manipulates the independent variable to measure its effect on the dependent variable.

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Independent Variable

The variable that is manipulated or changed by the researcher in an experiment.

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Dependent Variable

The variable measured to see the effect of the independent variable.

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Usual Condition

The standard group or situation in an experiment that is used as a comparison group.

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Special Condition

The group that receives a specific treatment or intervention in an experiment.

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Nature of Intervention

How the treatment or intervention is to be described in the research paper.

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Quasi-Experimental Design

A research design that has some of the characteristics of experimental research but doesn't control or manipulate the independent variable as systematically as experimental research.

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Univariate Analysis

Statistical analysis focusing on a single variable, exploring its characteristics and patterns.

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Bivariate Analysis

Examining the relationship between two variables, typically an independent and a dependent variable.

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Multivariate Analysis

Analyzing multiple variables simultaneously to understand their interconnected relationships.

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Parametric Test

Statistical test suitable for data following a normal distribution, measured on interval or ratio scales, and with a sample size of at least 30.

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Non-parametric Test

Statistical test used when data doesn't meet parametric test criteria, often for ordinal or nominal scales, or smaller sample sizes.

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Data Analysis in Research

The process of summarizing gathered information to answer research questions. It involves organizing, transforming, and interpreting data to draw meaningful conclusions.

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Research Problem

The specific issue or question that the research aims to address. It guides the entire research process, including data analysis.

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Data Type

The kind of information collected in a study, such as numerical data (e.g., age, scores) or categorical data (e.g., gender, opinions).

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Hypothesis

A testable statement that predicts a relationship between variables. It guides the analysis and helps determine whether the research supports or refutes the prediction.

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Scale of Measurement

The level of measurement used for variables, indicating the type of information they provide. Examples include nominal, ordinal, interval, and ratio scales.

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Data Analysis Procedure

A detailed plan that outlines the specific steps involved in analyzing data, including the statistical tests to be used and how the results will be interpreted.

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Research Manuscript

A written report of the research findings, presenting the study, its methods, results, and conclusions in a clear and organized way.

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Study Notes

Practical Research 2 - Module 1

  • This module covers understanding data and ways to systematically collect data.
  • The module is for senior high school students.
  • The module is published by the Department of Education.
  • The module is part of the Alternative Delivery Mode (ADM).
  • Copyright information is included, stating that the materials are owned by their respective copyright holders and the publisher/authors do not claim ownership over them.

Introductory Message

  • The self-learning module (SLM) is designed to help students continue their learning at home.
  • Pre-tests are included to assess prior knowledge.
  • Post-tests are provided for self-assessment.
  • Answer keys are available for all activities and tests.
  • Notes for teachers and parents are included to guide home-based learning.
  • Students should use the module carefully and not make unnecessary marks.
  • A separate sheet of paper should be used for exercises and tests.

What This Module Is About

  • Research methodology provides direction for a research study.
  • This module explains research design, population, sampling technique, research instruments, and statistical treatments.
  • The module will help students understand how to collect data systematically.
  • Lessons include quantitative research design, sampling procedures, research instruments (including validity and reliability), research intervention (if applicable), data collection procedures, data analysis, and presenting research methodology.

What I Know

  • A series of multiple-choice questions to assess prior knowledge about research designs and sampling techniques.

What's In

  • Discusses the importance of research methodology for a research study.

What's New

  • Activity 1: Students are asked to plan a study's data collection procedure through a flowchart.

What Is It

  • Explains various types of quantitative research design (descriptive, correlational, ex post facto, quasi-experimental, and experimental).
  • Definitions for each research type provided.
  • Detailed descriptions of methods and purposes for research designs are given

What's More

  • Activity 2: Summarizes quantitative research designs according to their goals and variable manipulation (e.g., descriptive, correlational, ex post facto, quasi-experimental, experimental).
  • Activity 3: Presents research titles and asks for students to identify the appropriate quantitative research design and explain their reasoning.
  • Activity 4: directs students to online resources to further practice what they've learned in each part of the module.

Lesson 2 - Sampling Procedure and the Sample

  • Discusses population and sample in research.
  • Explains methods of sampling for quantitative research (simple random sampling, stratified random sampling, systematic sampling, and cluster sampling).
  • Clarifies how to choose appropriate sample sizes.
  • Example scenarios are provided for student practice.

What's New

  • Activity 1: Example situations for students to practice identifying the appropriate sampling procedure.

What Is It

  • Explains various ways to approach research procedures.

What's More

  • Activity 2: Exercises related to finding information about research studies.

Lesson 3 - Research Instrument, Validity, and Reliability

  • Discusses the nature of instruments and the importance of proper instrument development.
  • Covers research instruments for quantitative research, (e.g., performance tests, questionnaires) and the importance of each.
  • Explicates what is measured when instruments are created carefully (e.g., validity, reliability).
  • Presents different types of scales like Likert scales and semantic differentials.
  • Explains how researchers establish validity and reliability for instruments.

What's New

  • Activity 1: Example questions dealing with research instruments.

What Is It

  • Concepts around creating valid and consistent quantitative research instruments are defined.

What's More

  • Activity 3: Rates provided instruments and offers justification of the rating.
  • Activity 4: Discusses the validity and reliability of sample research.

Lesson 4 - Research Intervention

  • Explains research intervention within quantitative research design.
  • Provides scenarios about groups in research
  • Explains how the research intervention in a research methodology is conducted and documented in a research study.
  • Explains the background, differences/similarities between the control and experimental groups the procedures of intervention, and the basis for these procedures.

What's New

  • Presents groups/scenarios for student practice.

Lesson 5 - Planning Data Collection Procedure

  • Discusses various techniques for collecting quantitative data (e.g., observation, surveys, experiments).

What's In

  • Introduces the importance of proper procedures for gathering research data in quantitative studies.

What's New

  • Activity 1: Identifies the data gathering procedure with the help of a flowchart for a quantitative study.

Lesson 6 - Planning Data Analysis

  • Explains the concept of data analysis.
  • Details procedures for analyzing data in quantitative research.
  • Discusses descriptive and inferential statistics as techniques for analysis in quantitative research.
  • Activities related to statistical concepts.

Lesson 7 - Presenting Research Methodology

  • Explains the methodology in a quantitative research design.
  • Activity 1: Provides rubrics for self-evaluation of research design and preparation presentation.
  • Activity 2: Reflects on research design and preparation.

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Description

Explore the systematic collection of data in this self-learning module for senior high school students. This module includes pre-tests, post-tests, and answer keys to facilitate home-based learning. Designed by the Department of Education, it aims to enhance students' understanding of research methodologies.

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