Sampling
Feedback on Literature Review Assignment
General feedback appears to be positive.
Acknowledgment of a request for an extension on the literature review assignment.
Option provided to push the due date back one week to the following Sunday.
Emphasis on keeping the third mini assignment's due date unchanged.
Discussion about balancing workload as the term progresses.
Importance of quality over timeliness: Prefers a well-written review submitted late rather than a subpar review submitted on time.
Writing Process and Drafting
Encouragement for students to draft their work ahead of time and to revise their drafts critically.
Key points for improving writing:
Reading fellow students' drafts or seeking help from writing centers can enhance quality.
Emphasizes that writing is a skill that improves with practice and time.
Suggestion to allow sufficient time for personal assessment and revision:
Recommendations for self-critiquing drafts to identify strengths and weaknesses.
Importance of starting the literature review assignment early, as waiting until the last minute often leads to lower quality work.
Benefits of Conducting a Literature Review
The literature review serves multiple purposes:
Helps clarify research questions.
Aids in revising introductory sections of papers.
Students encouraged to closely study articles’ literature reviews for evidence presentation.
Noted that effective literature reviews inform the structure and content of subsequent assignments.
Encouragement to ethically borrow methodologies from other studies:
Example: Using established scales in research for measuring variables.
Structural Concerns About Assignments
Feedback on the assignment's frequency and writing load:
Reassurance that the total writing across the semester equals approximately 10-12 pages, or roughly one page per week.
Option presented to explore doing fewer mini assignments in favor of a single, comprehensive final paper:
Advantages of ongoing feedback through mini assignments versus a single major paper.
Importance of incorporating feedback to enhance quality of final proposals.
Assignment Requirements: Article Questions
Article questions are designed to ensure engagement with assigned readings:
Justification of their necessity to promote critical reading and understanding of the articles.
Students discouraged from simply completing readings without engagement.
Flexibility in allowing credit for participation without submitting questions discussed.
Discussions on Literature Review Assistance
Clarification on citation procedures and other questions regarding literature reviews are welcome.
Announcement of upcoming class focus on sampling methods:
Students prompted to discuss concepts related to previous lectures, such as differences between sampling methods.
Sampling Methodologies
Differences in Sampling Techniques
Discussion of probability versus nonprobability sampling:
Probability Sampling: Ensures every element has an equal chance of selection.
Nonprobability Sampling: Does not guarantee equal selection chances and may introduce bias.
Examples provided for both sampling types:
Probability Sampling:
Includes techniques like simple random sampling, systematic sampling, stratified sampling, and cluster sampling.
Nonprobability Sampling:
Includes convenience sampling, snowball sampling, quota sampling, and purposive sampling.
Specific Types of Probability Sampling
Simple Random Sample:
Selection from a complete list (sampling frame) ensures each element has an equal chance of selection, often using random number generators.
Systematic Sample:
Involves selecting elements at regular intervals; requires an initially random starting point.
Example: Selecting every third individual after a random start.
Stratified Sample:
Ensures representation of specified strata within the population (e.g. gender, age) through random selection from each stratum.
Cluster Sample:
Involves sampling at multiple levels (e.g. randomly selected groups or clusters and then sampled individuals within those clusters).
Core Concepts of Sampling Methods
Population: The complete group of elements being studied.
Element: Individual observations or respondents within that population.
Sampling Frame: An approximate list of all elements within the population used for sampling.
Importance of Understanding Sampling in Research
Clarification that effective sampling strategies help researchers draw valid inferences about larger populations.
Emphasis on randomness in sampling to mitigate bias:
Significant disparities in samples can lead to flawed interpretations of data.
Students reminded of the importance of understanding both sampling methods as they ultimately relate to the success of their research projects.
Class Engagement and Advocacy for Student Voices
Encouragement for students to express their thoughts and questions:
Importance of finding and using their voices in discussions not only in this class but throughout their academic careers.
Message of empowerment and involvement highlighted for students.
Group Work Assignment
Transition to group activities to encourage collaboration and application of learned concepts.