Week 1-4 Flashcards
What is the Primary motive for engaging with research based information?
Is to reduce clinical uncertainty
Define: Proporsitional
Formal, explicit, derived from research and scholarship
Define: non-proporsitional
Informal, implicit, derived primarily through practice
Who defined evidence-based medicine
Sackett 1996
Define: Evidence-based practice
Is the integration of best research evidence with clinical expertise and patient values to facilitate clinical decision making (Sackett)
What were the 3 names in the history of EBP
Sackett
Cochrane
Charmers
Define: Primary sources
Original research/studies
Define: Secondary sources
These refer to, include or combine original research studies
Define: Paradigm
Is a research approach based on the research question and the purpose of the study
(Is a world view)
What are the 3 main research paradigm approaches
Positivist approach
Critical approach
Interpretive approach
Research Paradigms
Explain: Positivist approach
Truth is discovered through objective, deductive reasoning, traditional and scientific tests
- quantitative, rct, epidemiological methods
Research Paradigms
Explain: Critical approach
Takes an emancipatory view of the world
- qualitative, critical social theory
Research Paradigms
Explain: Interpretive approach
The researcher believes in the existance of multiple truths rather than a single truth (qualitative, constructivist (naturalistic))
- phenomenology, grounded theory, ethnography
When is a PIC used
For a Qualitative research question
What does PIC stand for in a Qualitative question
P- population
I- interest (defined event, experience etc)
C- context (is the setting or distinct characteristic)
Define: Research question
Is a questions about the relationship between 2 or more concepts
Why is a research question important
Its the foundation of the research study
- its the first step in any research project
Matching research questions with a research approach
Exploratory
Explanatory
Exploratory- Qualitative
Explanatory- Quantitative
What are the 3 types of Variables
Independent- is the variable that determines, influences, or produces the change in the other main variable
Dependent- this variable is dependent on or influenced by the independent variable
Extraneous- refer to other variables that may affect the dependent variable
What are the 2 types of Hypotheses
Null hypothesis
Research hypothesis
Explain: Null Hypothesis (H0)
It assumes equality and represents no relationship between variables
(Operates as the comparison for the research hypothesis)
Explain: Research Hypothesis (H1)
It provides a definitive statement that there is in fact a relationship between the independent and dependent variables
What are the 2 types of Research Hypotheses
Non-directional hypothesis- a difference is acknowledge but no specific direction is implied
Directional hypothesis- we state the direction of the relationship between 2 variables
Explain: Sampling
takes a portion of a population as representative of that population
In sampling- what must be mentioned in the research paper
Inclusion criteria
Exclusion criteria
Explain: probability sampling
Is the least bias of all sampling methods, there is no subjectivity and each member of the total population has an equal chance of being selected for inclusion of a study
- used for quantitative research
Explain: non-probability sampling
Is a sampling method where the samples are gathered in a process that does not give all the individuals in the population an equal chance of being selected
- mainly used in qualitative research (can be used in quant)
List the 4 different techniques of Probability sampling
- simple random sampling
- system random sampling
- stratified random sampling
- cluster random sampling
Define: Random Sampling
Is the technique for participant selection for a study
Define: Random Allocation
Refers to how the already selected participants are allocated to treatment groups
Probability sampling
Give examples: Simple random sampling
- rolling a dice
- pulling names out of a hat
- using computer programs to randomly select names from a list
Probability sampling
Give examples: Systematic random sampling
Are chosen in an organised systematic way
Eg. Selecting every 3rd student on a roll for inclusion into a study
Probability sampling
Give examples: Stratified random sampling
Are typically from naturally splits into non-overlapping portions/sub groups in a population Eg. Males and females
Researcher chooses their ‘sub groups’ and from those, individuals are randomly selected from each sub group
Probability sampling
Give examples: Cluster random sampling
When natural groupings are evident in a population. Total population are divided into clusters.
Define: Sample size
Relates to how many participants are needed for a study
List some of the Quantitative data collection methods
- Physiological or biological measurement
- Observation
- Interviews and questionnaires (surveys)
- Records
- other documents
Quantitative data collection methods
Explain: physiological measurement
Suited to clinical issues, inc. effectiveness of practices/interventions
- objective and generally considered reliable
Quantitative data collection methods
Explain: observation
Quantitative observation suited to complex situations that are difficult to measure in parts
Structured- tools/rating scale are used by the observer who watches participants and records behaviour
Unstructured- there is no tool to guide observation process, observer writes free text field notes of their observations
Quantitative data collection methods
Explain: interviews
Are conversations between researcher and study participant (Qual & Quant)
- are usually focused and follow a structured timeline/template
Quantitative data collection methods
Explain: Questionaires
Is a tool used to gather information.
- can be closed or open ended questions and reduces ambiguity
Quantitative data collection methods
Explain: records and other documents
Are time saving and cost saving, however the quality of the data cannot be verified