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causality
variable X causes variable Y → tested for using true experiments
confounding variables
third variables in causality claims that might be the real cause
correlation analysis and surveys test
associations not causality
why do we “fail to reject the null” instead of “accepting the alternate hypothesis”
like guilty vs not guilty (judges never prove innocense) → can never definitively prove a theory (innocence) but you provide reasons that make the alternate (guilt) unlikely
why do we need theory instead of directly studying associations between variables
need to propose and prove your research is significant → need grants, funding, approval, etc
what does theory inform
what variables to study
why variables are related
why a relationship is meanigful
how to interpretate results
what findings contribute to existing knowledge
theory gives us the ___ behind the research
rationale → provides the why. however not to be confused with overgneralizing the data
theory is not be confused
what does reflexivity describe
decribes ongoing self awarness as a research of how your background might affect the research at hand
features of relfexivity in research
continuous
collaborative → incoperate the whole research team and participants
multifaceted → consider the context, analysis, etc
embedded throughout the manuscript
ways of practicing reflexivity throughout research
reflexivity journal
keep memos
discuss reflexivity as a team
participant reflection
document methodological
four types of reflexivity
personal
interpersonal
methodological
contextual
four types of reflexivity: personal
reflecting on 1) past expereinces and b) how it shapes your interpretation of the study
four types of reflexivity: interpersonal reflexivity
relfecting on the relationship between you and other individuals involved
four types of reflexivity: methodological reflexivity
how do the methods impact findings (eg private vs public)
four types of reflexivity: contextual reflexivity
how the place, culture, and time effects the study
which type of research approach is reflexivity most needed for
quantitative data bcs its subjective
6 types of reviews
narratuve reviews
scoping reviews
systematic reviews
meta analysis
rapid review
umbrella review
6 types of reviews: narrative reviews
aka literature or traditional review
qualitative summary of previous research
flexible search protocols
6 types of reviews: scoping reviews
maps all existing evidence and gaps without assessing quality
strict inclusion criteria pre-set → aims to answer specific q and be reproducible
6 types of reviews: systematic reviews
asses quality of all existing evdiecne in the literature
strict inclusion criteria pre-set → aims to answer specific q and be reproducible
6 types of reviews: meta analysis
combines results of multiple studies, usually within systematic reviews
strict protocol → answers specific research qs
6 types of reviews: rapid reviews
shortened systematic review
6 types of reviews: umbrella reviews
no individual studies, just a high level of available evidence → not recommended
research problem vs topic
topic → general subject of the study
problem → specific issue or q about the topic requiring investigation
steps of starting research
purpose statement → whats the objective?
research topic/problem → issue in a subject area
map research problem
features of a purpose statment in qual research
focus on single idea → aims to describe, understand, develop, explore
inductive
indentifies participants and setting
includes the methodolodgy (eg grounded theory)
features of a purpose statment in quant research
focus on relationships → aims to examine, test, determine, compare
deductive
indentifies sample/population and variables
includes the design (eg survey, experiment)
general steps to mapping your research question
topic → problem → gap → purpose → research question