WEEK SIX Flashcards
Important to understand sampling because you want to know?
Does the study address the population about whom we have a clinical question?
Does the sample accurately reflect/form a part of the population addressed in the study?
Does the sampling approach limit the usefulness of the findings?
What are the summary sampling goals?
Qualitative
- Find best sources of data relevant to study aims/objectives
- Obtain insights into the phenomenon of interest
Quantitative
- Obtain sample representative of population of interest
- Obtain sample that allows effects of specified variables to be distinguished from other variables
What is data collection
“the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes.”
What is the importance of accurate data collection?
-Maintaining the integrity of research.
Important factors to reduce the likelihood of errors occurring:
- selection of appropriate data collection instruments (existing, modified, or newly developed)
- clearly delineated instructions for their correct use.
What are the consequences of improperly collected data?
- Inability to answer research questions accurately
- Inability to repeat and validate the study
- Distorted findings resulting in wasted resources
- Compromising decisions for public policy
- Causing harm to human participants/animal subjects
What are common data collection methods in qualitative research?
- In-depth interviews: may be structured, semi-structured or unstructured
- Focus groups: involve multiple participants discussing an issue
- Secondary data/document review: diaries, written accounts of past events, photographs
- Observations: may be on site, or under ‘laboratory conditions’, for example, where participants are asked to role-play a situation to show what they might do.
What are common data collection methods in quantitative research?
- Experiments/clinical trials
- Observing and recording well-defined events (e.g., counting the number of patients waiting in emergency at specified times of the day)
- Obtaining relevant data from management information systems
- Administering surveys with closed-ended questions (e.g., face-to face and telephone interviews, questionnaires)
what are measurements of variables?
Use objective measures
Distinguish between independent (predictor) & dependent (outcome) variables
Must result in numbers for statistical analysis
What is internal validity
-Refers to whether intervention (independent variable) had real measurable effect on outcome (dependent) variable
Need to minimise threats to this eg:
-selection bias: sample needs to be representative of population. Self-selection a problem
- mortality: participants drop out of study
- maturation: developmental, biological or psychological processes of individual that change over time- may affect study variable
- problems with instrumentation: changes in measurement or observation techniques- may influence measurement
external validity:
Refers to generalisability of findings to other populations &/or settings
Factors affecting related to:
selection of participants: selection bias, mortality, maturation
study conditions
types of observations