Exam Study #1 Flashcards

1
Q

What is Research?

A

Organized study or gathering of information about a specific topic.
* Systematic investigation of a topic that produces new knowledge or
uses existing knowledge in new and innovative ways.

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2
Q

Scientific method

A

a systematic body of procedures and techniques
applied to carry out an investigation or experimentation targeted at
obtaining new knowledge.

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3
Q

What do we mean by practice?

A

The practice side of research relates to implementation
* How the word ‘practice’ is applied might vary but includes moving
research into action or decision making

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4
Q

What are the 8 stages of the research cycle?

A
  • Questioning
  • Planning
  • Gathering
  • Sorting
  • Synthetizing
  • Evaluating
  • Reporting
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5
Q

Reflexivity

A
  • Exploring personal beliefs, bias, and judgements; assessing how this
    impacts your research
  • Personally – positionality, social identity/location, lived experiences,
    professional history
  • Methodologically – how your knowledge and preconceptions affect your
    decisions about research design and processes
  • Every stage of the research cycle
  • BUT, depending on your research approach you may embrace or mitigate
    reflexivity
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6
Q

Characteristics of a literature review in health

A
  • Written for academic/practitioner audience
  • Evidence is gathered from peer reviewed,
    scholarly sources
  • May broaden evidence to non-traditional
    sources of information (grey literature)
  • Unbiased
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7
Q

Types of practice

A
  • Policy development at various levels
  • Development of practice guidelines (e.g., in a clinical setting)
  • Development of strategies to address health problems (e.g., health promotion
    strategies)
  • Education programmes
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8
Q

Importance of health research

A

*Disease trends, risk factors and behaviours

*Outcomes of treatment or public health interventions

*Patterns of health care, and health care costs and use

*Social-environment causes and patterns of health

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9
Q

Types of health research

A

*Behavioural
*How people and groups act in different ways (and why)

*Clinical
*Testing new medicines and devices (e.g., clinical trials, medical treatments)

*Genetic
*Examines the role of genes and different health diseases and health conditions

*Public health
*Focus on prevention and treatment of illness in communities/populations (SDoH, prevention policies)
*Also explore disease trends of populations (epidemiology)

*Systems and Policies
*Exploring patient feedback and experiences

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10
Q

Step 1 of the research cycle

A

Literature review
-Find gaps in the research
-Things to consider when reviewing the literature and formulating research questions:
o Has the question been asked before?
o How did they research it?
o Are there any research methods & instruments you
can use?
o What findings did they get?
o Are there any lessons to be learned

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11
Q

Step 2 of the research cycle

A

Research Purpose and Question
-Drawing on theory, individual beliefs, knowledge, previous research & literature

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12
Q

Step 3 of the research cycle

A

Hypothesis and Propositions
-Primarily useful for quantitative research; however, in qualitative, we can ‘test’ propositions
-A suggested (hypothetical but with a solid foundation) link between two (or more) variables
-Research problems are broken down into a number of hypotheses

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13
Q

Step 4 of the research cycle

A

Methods and Methodology
* How do we plan to measure/investigate the relevant concepts?
* Method and methodology are often used as though they were synonyms – they are not
* Methodology is the study of methods and refers to the strategy or design to research

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14
Q

Step 5 of the research cycle

A

Sampling and Recruitment
Selection of a subset of a population for research
* Quantitative:
* Representative
* Qualitative:
* Purposive

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15
Q

Step 6 of the research cycle

A

Data Collection
* Explicit details about how you are collecting your data
o Paper or online surveys
o Interviews or focus groups
o Observations
o Visual methods
o Documentation review
o Social media

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16
Q

Step 7 of the research cycle

A

Data Analysis and Interpretation
* Depends on your design and research question(s)
* Interpretations are guided by the chosen theoretical approach

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17
Q

Step 8 of the research cycle

A

Disseminate Findings
* Process of communicating knowledge to target audiences
* Vital to ensure that the conducted research has a health, social, political, or economic impact
* Knowledge mobilization/translation strategies
o Know your audience & setting
o Target messages
o Right tools (written, oral, visual)

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18
Q

Pros and cons of quantitative research

A

Pros
Test hypothesis
Replication
Can be quicker
Contributes to answering the WHAT and HOW
Generalizable

Cons
Lack of context
Unnatural environment &findings
Less rich/detailed insights

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19
Q

Pros and cons of qualitative research

A

Pros
Flexibility and innovation
Naturalistic settings
Meaningful, deep insights
Contributes to answering the WHY & HOW

Cons
Subjectivity*
Limited generalizability
Resource Intensive

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20
Q

Post-positivism

A

*Positivism contains the underlying philosophical assumptions of research in most of the natural sciences

*Based around the development of general laws/truths that can be used to understand the world

*Testing of theories (deductivism – more on this later!)

*Research approach is governed by the Scientific Method

*Positivism is based on ideas of:

*Objectivity (i.e., the objective reality of the physical world)

*Deterministic (i.e., causes determine effects or outcomes)

*Empiricism (i.e., observation and measurement)

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21
Q

Interpretivism/Constructivism

A

*Rejects the view that scientific empiricism can be applied to the social world.

*Does not use predefine variables, but explores human sense-making in naturalistic settings

*Theories and methods for interpreting human action and understanding how individuals make sense of the world

*Assumption - social reality can only be understood through social constructions such as language, consciousness and shared meanings

*Relativity and context

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22
Q
A
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22
Q

What is a purpose statement?

A

*Establishes the goals of the entire research study

*Ultimately the most important statement in the entire study

*Explains WHY you want to conduct your research and WHAT you hope to accomplish

*Can also be called study aim or objective

*Suggests how it’s adding to scholarly research/literature or practice or policy

23
Q

Qualitative purpose statement

A

-Single phenomenon
-Phrases: understand, explore, examine, develop
-Neutral and Non-leading
-Name the participants and site
-*May include methodology

24
Quantitative purpose statement
-Comparing variables -Phrases: explores or examines relationship between variables -Identify theory using -Name participants and site -*May include methodology
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Micro theory
*Individual beliefs, attitudes, cognitions, behaviours *Used in health psychology (e.g., Health Belief Model)
26
Macro theory
*Deal with large-scale social events of society – the way we are organized, function and meanings *Used in sociology (e.g., Feminist, Critical Race Theory)
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Phenomenology
What is the common experience of an activity or concept from the perspective of particular participants? -Describe the essence of the experience (of a group of people)
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Narrative
How do participants make sense of their lives or the phenomenon through stories? -Examine or explore stories of individuals
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Grounded Theory
How is an inductively derived theory about a phenomenon grounded in the data -Discover or generate a theory
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Ethnography
What are the cultural patterns and perspectives of this group in their natural setting? -Seek to understand a culture-sharing group
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Case Study
What are the characteristics of a particular entity, phenomenon, person, setting? -Explore a process or in-depth description of a program or case
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Ethnomethodology
How do people make sense of their everyday activities in order to behave in socially acceptable ways?
34
Symbolic Interactionism
How do people construct meaning and shared perspectives by interacting with others?
35
Benefits of Qualitative Research
* The potential to illuminate everyday life – to better understand the unfamiliar and strange * Can provide specific, concrete details to guide an understanding of a particular setting * Can provide interpretation of local meanings that activities and practices have for a group engaged in them * To illuminate differences across settings
36
Limitations of Qualitative Research
* Subjectivity is inherent * In ALL research (not just qualitative) * Reflexivity is championed in qualitative * Labour/ time intensive * Underestimation of the vast amount of time it takes to undertake the data collection, arrange the interviews/ focus groups, transcribe the data, undertake data analysis etc * Misunderstanding of novice researchers * Many researchers think it is a ‘soft option’, but have little understanding of the complexities involved * Quality and trustworthiness of studies are then compromised * Limited generalisability * However, this is not the point of qualitative studies, therefore seems an inappropriate standard by which to judge
37
Qualitative Sampling
*Purposive Samples: *Homogenous– provide detailed picture of a particular phenomenon *Heterogenous/maximum variation– to include phenomena that widely vary from each other *Extreme case/deviant– chosen because unique or special, therefore illuminating *Intensity sampling– focuses on cases which strongly represent the phenomena or interest (rather than unusual cases) *Typical case sampling– characterize normal or average selected for detailed (e.g., participants may be selected based upon response from a survey) *Critical case sampling- Demonstrate a phenomenon of position “dramatically” or are pivotal to the delivery of a process or operation
38
What is Quantitative research?
*Approach for testing theories by examining the relationship between variables *Based on: *Post-positivism/The scientific method *Deductive approach (testing theories rather than developing theories) *Numbered data that can be analysed using statistical techniques
39
Characteristics of Quantitative Research
*Patterns & relationships among variables (describe, predict,associations) *Variables are pre-determined and defined *Variables measured using instruments (e.g., closed-ended surveys, observations, etc.) that collects numerical data *Example: Researcher measures Depression using the CES-D (Center for Epidemiological Studies-Depression) Questionnaire *Objective – control for bias *Generalize to the larger population and replicate findings *Larger samples
40
Benefits of Quantitative Research
* Large sample sizes * Online surveys – easier to recruit and collect data from a large number of people * Larger sample sizes increases generalisability of the results to the population being studied * Quicker data collection* * *Not necessarily the case for longitudinal quantitative designs (i.e., cohort studies, repeated measures designs, etc.) * Faster analysis and interpretation of results * Subjectivity is present in ALL research, but less room to impact interpretations in Quantitative designs
41
Limitations of Quantitative Research
* Measures/scales used may not capture constructs being studied * Statistical significance of results may have little real-world meaning * Clinical significance of significant, but small, differences * Complexity of quantitative designs complicates statistical analysis and interpretation of results * Misinterpretation of results/inappropriate data analysis techniques * Less depth and complexity to findings * Ex: Pre-defined questions, closed-ended surveys * Larger sample sizes can be more expensive
42
Experimental
* Determine whether a treatment influences an outcome(s) * Researcher manipulation of treatment conditions * Example question: Does a 3-week mindfulness program decrease levels of depression in teenagers?
43
Non-experimental/Survey/Observational
* Examines associations between variables in a population * No treatment is applied * Example question: Is there an association between number of hours studied and final exam scores in HLTH 205 students?
44
True experiment
* Explores the impact of a treatment(s) on an outcome * Treatment group(s) is compared to a control group that does not receive the treatment * Random assignment of participants to conditions (e.g., random number generator) * Used to explore cause and effect relationships
45
Pre-experimental
* Similar to a true experiment, but with no control group * Researcher studies the effects of a treatment on an outcome in a single group * Exploratory - usually conducted as a precursor to a true experiment
46
Quasi-experimental
* Similar to a true experiment, but with no random assignment to conditions * Researcher studies the effects of a treatment on an outcome, compared to a control group * Participants are NOT randomly assigned to treatment conditions * Used when random assignment is not possible/occurs naturally
47
Cross-sectional
Collection of data at one point in time * Surveys, measurements, etc. * Used to explore relationships between variables at a single point in time * Example: Is there a relationship between number of hours studied and HLTH 205 final exam scores? * Advantages: * Quicker, low cost, hypothesis generation, describing a population * Disadvantages: * Cannot determine cause and effect or changes over time
48
Longitudinal
* Collects data from the same people/samples over an extended period of time (weeks, months, years) * Used to explore relationships between variables over time * Explore changes, trends, etc. * Example: Researcher recruits a sample of first-year students, and collects data from them every year for 4 years * Advantages: * Explore changes within individuals over time, long-term health effects * Disadvantages: * Time consuming, expensive, participant drop-out over time (attrition)
49
Cohort Study
* Type of longitudinal study that follows groups over time * Used to explore long-term health outcomes between groups of exposed and unexposed individuals * Selection of groups: * One group that HAS been exposed to a particular exposure of interest * One group that HAS NOT been exposed to the particular exposure of interest * Groups are followed up with over time to determine if they develop a particular health outcome * Example: Researcher explores lung cancer outcomes between one group of individuals who were exposed to an environmental toxin, and one group that was not exposed
50
Case-control Study
* Similar to a cohort study, but the outcome of interest has already occurred * Exposure and outcome information is collected at one point in time, and compared between the groups * Selection of groups: * One group that HAS developed the health outcome of interest * One group that HAS NOT developed the health outcome of interest * Exposure information between the two groups is collected and compared to determine if exposure is associated with the health outcome * Example: Researcher explores environmental toxin exposure status between one group of individuals who have developed lung cancer, and one group that has not developed lung cancer
51
Sampling & Recruitment of participants for quantitative research
* Typically, Probabilistic/Random sampling: each individual in the population has an equal probability of being selected for the sample * Depends on the research question: Purposive/Non-random sampling can also be used in Quantitative research * Sample size is guided by Power analyses (discussed shortly) * Inclusion and Exclusion criteria for participation * Recruitment * Strategies: posters, random digit dialling, social media, referrals, etc. * Incentives: online surveys ($5-10 dollars), experiments (more $ compensation)
52
What is Mixed Methods (MM) Research?
* Collection of both qualitative and quantitative data * Some question the “mixing” of data and consider ‘methodological pluralism’ * Rigorous methods of both types of research * Data collection, data analysis, interpretation * Both forms of data are integrated into a mixed methods study design * Process often informed by a particular epistemology/theory
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Mixed Methods Designs
* Continuous collection of both data types (convergent) * Continuous qual across waves of quant (convergent) * Quantitative followed by qualitative (explanatory) * Qualitative followed by quantitative (exploratory)
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Convergent Designs
* Collect both types of data, analyse separately, compare results * Do the results confirm or disconfirm each other? 1. Continuous collection of both types of data 2. Continuous Qual across waves of Quant
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Explanatory Sequential
* Quantitative first phase (collection & analysis) then quantitative results are used to plan/design a second qualitative phase * Quantitative results inform qualitative design (sample, questions) * Qualitative results help to explain/provide depth to quantitative results
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