Podcast
Questions and Answers
What is the main characteristic of cluster sampling?
What is the main characteristic of cluster sampling?
Stratified sampling ensures that every subgroup of the population is represented in the sample.
Stratified sampling ensures that every subgroup of the population is represented in the sample.
True
What is non-probability sampling?
What is non-probability sampling?
Sampling methods where individuals are selected based on non-random criteria.
In _____ sampling, the nearest available individuals are chosen until the desired sample size is reached.
In _____ sampling, the nearest available individuals are chosen until the desired sample size is reached.
Signup and view all the answers
Match the following sampling techniques with their descriptions:
Match the following sampling techniques with their descriptions:
Signup and view all the answers
Which of the following is a characteristic of purposive sampling?
Which of the following is a characteristic of purposive sampling?
Signup and view all the answers
Multistage sampling is a method that requires only one round of random sampling.
Multistage sampling is a method that requires only one round of random sampling.
Signup and view all the answers
List one example of a study that may use purposive sampling.
List one example of a study that may use purposive sampling.
Signup and view all the answers
Which of the following experimental designs requires random assignment of subjects to groups?
Which of the following experimental designs requires random assignment of subjects to groups?
Signup and view all the answers
Pre-experimental studies are the most reliable type of experimental design.
Pre-experimental studies are the most reliable type of experimental design.
Signup and view all the answers
What design involves at least two groups, where one group receives treatment and both are post-tested?
What design involves at least two groups, where one group receives treatment and both are post-tested?
Signup and view all the answers
In a one group pretest-posttest design, the notation for the control group is represented as _ _ _ _ _ _ O2.
In a one group pretest-posttest design, the notation for the control group is represented as _ _ _ _ _ _ O2.
Signup and view all the answers
Match the following experimental designs with their key characteristics:
Match the following experimental designs with their key characteristics:
Signup and view all the answers
Which design is characterized by involving four groups with different pretesting statuses?
Which design is characterized by involving four groups with different pretesting statuses?
Signup and view all the answers
In a static group comparison, both groups receive a post-test after exposure to treatment.
In a static group comparison, both groups receive a post-test after exposure to treatment.
Signup and view all the answers
Describe the major limitation of a one shot case study.
Describe the major limitation of a one shot case study.
Signup and view all the answers
Which research design involves comparing pretest and posttest data with a controlled setup?
Which research design involves comparing pretest and posttest data with a controlled setup?
Signup and view all the answers
In systematic sampling, the selection of sample elements is entirely random without a specific order.
In systematic sampling, the selection of sample elements is entirely random without a specific order.
Signup and view all the answers
What is the primary goal of using stratified random sampling?
What is the primary goal of using stratified random sampling?
Signup and view all the answers
A _________ sample is selected by judgment and does not give all units an equal chance of being chosen.
A _________ sample is selected by judgment and does not give all units an equal chance of being chosen.
Signup and view all the answers
Match the sampling methods with their descriptions:
Match the sampling methods with their descriptions:
Signup and view all the answers
What advantage does probability sampling have over non-probability sampling?
What advantage does probability sampling have over non-probability sampling?
Signup and view all the answers
Cluster sampling selects individuals from a population in non-structured groups.
Cluster sampling selects individuals from a population in non-structured groups.
Signup and view all the answers
Describe one advantage of using a sample rather than studying the entire population.
Describe one advantage of using a sample rather than studying the entire population.
Signup and view all the answers
Study Notes
Course: Practical Research 2
- Week: 2
- Quarter: Second
- Type: Quantitative Research Design and Sampling
Objectives
- Choose appropriate quantitative research design (CS_RS12-lla-c-1)
- Describe sampling procedure and the sample (CS_RS12-lla-c-2)
- Discuss research design and sampling
Importance of Chapters 1 & 2
- Understanding the importance of properly writing Chapters 1 and 2 of a research paper.
- Establishing the connection between the two chapters.
- Identifying the meaning behind the photos/images.
Purpose of Methodology
- Describe the research design (or defend it)
- Provide enough details for another researcher to repeat the experiment
Research Process
- Define Research Problem
- Review the Literature
- Formulate Hypothesis
- Design Research
- Collect Data
- Analyze and Present Data
- Interpret and Report
Research Design
- A strategy to integrate different study components logically.
- Acts as a blueprint for collecting, measuring, and analyzing data.
Terms to Know
- Replication
- Local Control
- Randomization
- Control of Extraneous Variables
Types of Quantitative Research Designs
- Descriptive: Used as a precursor to other research designs, yielding data for recommendations and analysis
- Survey, Observational, Correlational, Comparative, Developmental, Evaluation, Trend Analysis: Types of descriptive research designs
- Survey Research: Aims to build norms and standards based on survey data; local control and control of variables depend on the survey questions.
- Correlational Studies: Estimate the relationship between variables in a population.
- Comparative Studies: Compare the occurrences/nature of multiple variables on samples/subjects across the same period.
- Causal-Comparative: Measures the impact of a change on existing norms/assumptions. Attempts to establish a causal link and eliminates alternative possibilities. Also called quasi-experimental
- Pre-experimental: Commonly avoided due to lacking randomization but beneficial to see group influence
- One Shot Case Study: The least reliable experimental approach; indicated with G: X—O
- One Group Pretest-Posttest Design: Measures change but yields inconclusive results; indicated with G: 01—X—02
- Static Group Comparison: Two or more groups; one exposed to treatment and both post-tested; indicated with G1: X—02; G2: 02
- True Experimental Studies: Require a control group, random subject assignment, and the dependent variable reflects the independent variable's effect
- Posttest-Only Control Group Design: At least two groups; one group receives treatment, both post-tested; indicated with R1 : X—O2; R2: O2
- Pretest-Posttest with Control Group: At least two groups, both pretested; one group receives treatment, both post-tested; indicated as R1: 01—X—02; R2: 01—02
- Solomon Four Group Design: Four groups—two pretested, two not; groups 1 and 3 receive treatment, while 2 and 4 don't; all four post-tested; indicated with R1: 01—X—02; R2: 01—02; R3: X—02; R4:02.
- Factorial Design: Allows examination of multiple independent variables' interaction and effect on dependent variables.
- Completely Randomized Design: Random assignment in groups and treatments.
- Randomized Complete Block Design: Commonly used for agricultural experiments, grouping similar experimental units into blocks.
How to write Research Design for Chapter 3:
- Briefly state the overall design (qualitative or quantitative).
- Specify the observed design in the study.
- Define the design (1-2 sentences) and cite.
- Explain how the design will be used in the research.
Scenarios for Research Design
- Scenario 2: Researchers measure initial pear weight/colour, then test post-testing 26 days later.
- Scenario 3: Field fertility gradient depicted with varying colors (treatment blocks).
Sampling Design
- Sampling: Choosing a representative population portion.
- Population, Target Population, Sample, Subject, are key sampling terminologies.
-
Probability Sampling (Simple Random, Systematic, Stratified Random, Cluster, Multistage): Characterized by chance mechanism, equal selection chance.
- Simple Random: Each unit has a chance of inclusion.
- Systematic: Uses a formula to select certain units from a designated list.
- Stratified Random: Divides the population into strata/groups to select random simple samples in each group.
- Cluster Sampling: Divides groups into clusters, randomly selecting clusters to determine a simple random sample
- Multistage Sampling Using multiple rounds of different sampling techniques
-
Non-Probability Sampling (Convenience, Purposive, Quota, Accidental, Snowball): Characterised by judgement selection, unequal selection chance.
- Convenience Sampling: Chooses the easiest units/objects available until the desired size is reached
- Accidental Sampling: Includes available participants without explicit criteria.
- Quota Sampling: Aims to ensure a proportional segment inclusion in the sample.
- Purposive Sampling: Focuses on representing the population using evidence; select what the researcher wants
- Snowball Sampling: Uses network of respondents to refer other respondents
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Related Documents
Description
This quiz focuses on understanding quantitative research design and sampling methods as covered in Practical Research 2, Week 2. It aims to help students choose appropriate research designs and describe sampling procedures. Mastery of these concepts is essential for writing effective Chapters 1 and 2 of a research paper.
