Probability Sampling
When each participant has an equal chance of being selected.
Simple Random Sampling
Assessing the effectiveness of an intervention.
Evaluation
When interested in participant's knowledge, attitude, beliefs, or feelings, a researcher can use this instrument to collect data.
Questionnaire
In this sampling strategy, participants are selected based on ease of accessibility.
Convenience Sampling
When sufficient qualitative data has been collected to draw conclusions and any further data collection would not offer any additional value.
Data Saturation
A fixed sampling pattern at regular intervals eg. every 5th participant of a study.
Systematic Sampling
This term describes the process of identifying any existing evidence or theories, developing a theory if needed, and modelling an intervention before full implementation.
Development
This type of data collection relies on the use of specialized tools and/or instruments.
Physiological and Biological Measurements
_________ sampling looks to include all eligible and available participants until the desired sample size is achieved or over a specific timeframe.
Consecutive Sampling
This term refers to sample size estimation and the number of participants needed to avoid a Type II error in a comparative study.
Power
Used in community-based studies or for multiple geographical locations, a ________ sample is selected from a larger group. Careful! Population representation matters!
Cluster Sampling
When innovations have been tested and proven, this is the process of applying them into practice.
Implementation
In observational data collection, this term reflects the potential for participant's to alter their behaviour if they are aware they are being observed (Hint: Hawthorne Effect).
Reactivity
This method involves selection of participants based on specific characteristics or needs of the study. Careful though, bias can be an issue!
Purposive/Judgemental Sampling
The key principles of this framework are: Self-determination, Exercise sovereignty, Ethics, Data stewardship & governance, and to Support reconciliation.
SEEDS Framework
This sampling method involves splitting a population into two or more groups based on similar characteristics or demographics and drawing samples randomly from each group.
Stratified Sampling
The purpose of this study is to determine practicality, viability, and logistics of a main study.
Feasibility
To collect data from participants verbally (via in-person, telephone etc.).
Interview
This method of sampling is used with difficult to reach participants. A researcher may identify one participant, who then refers another participant, and so on. The sample is built in a cumulative fashion.
Snowball Sampling/Respondent-Driven Sampling
The purpose of this type of study is to examine methods, tools, and procedures for a main study.
Pilot Study
Complex and occurring over several stages, this sampling combines many methods when accessing a large and/or geographically spread population.
Multistage Sampling
A multifaceted health care initiative that considers context, engages staked holders, and has economic considerations.
Complex Intervention
Two or more observers independently applying the same measure to the same group to ensure consistency amongst the observers is referred to as ________.
Interrater Reliability
A researcher may use this nonrandom sampling method to group participants based on characteristics to increase the representativeness of a sample.
Quota Sampling
The First Nations research principles of Ownership, Control, Access, and Possession, by where First Nations have control of the collection and use of data is also referred to as ______.
OCAP