Final Exam study Flashcards
(105 cards)
Sampling- what is the population, target population, accessible population, and sample
Population: cluster of ppl ur interested in;
Target pop: entire group you want to study (must be scientifically justified and empirically supported);
Accessible pop: the group the researcher can actually measure since there’s all sorts of constraints to reaching the target pop, depends on the context of the research and the researcher’s resources;
Sample: subset of the accessible pop since they won’t all want to be part, the inds who actually take part in the research. It has to be representative of the larger pop.
t/f- the sample can lead to limitations
true
Sampling- What are inclusion and exclusion criteria?
inclusion: guidelines about who can participate (describe characteristics potential participants must possess), must be coherent with the research topic and be scientifically supported,
exclusion: guidelines about who cannot participate, ethical consideration should be given, reduce gathering irrelevant data, you should develop (or use a tested pre-made one) a brief questionnaire to evaluate their eligibility.
what is sampling?
the process of selecting observations that will be analyzed for research purposes. includes reaching out to the accessible population and forming the sample. two main strategies: probabilistic and non-probabilistic
sampling strategies- probabilistic. what is it, name the 4 types
Representivity and generalizability of target pop. random selection- everyone in the accessible pop has equal chances of being invited to participate. Simple random samples, systematic sampling, stratified sampling, cluster sampling.
sampling strategies- strengths (3) and limitations (3) of probabilistic sampling strategies
Strengths: representative samples, generalizability of results, less likely to be biased.
Limitations: resources needed limit feasibility (time, costs), requires high skill/experience because many steps and statistical analyses, many not represent minority groups bc they target generalizability of results and not specific characteristics.
simple random samples- how to do it, probabilistic or non-prob., small or big studies, strength (1), limitations (2)
probabilistic.
develop sampling frame and list all accessible pop members, then number potential participants in an orderly manner, then randomly select inds using a random number table.
- small-scale study.
Strength: easy to understand
Limitation: hard to apply bc you have to know all participants, chance random sampling won’t represent every identity.
systemic sampling- what is it? probabilistic or non, small or big studies, strenght (1), limitation (1)
- probabilistic,
first develop sampling frame and list all accessible pop members, then randomly select inds using a systematic strategy (regular interval btwn participants, randomly selected and represented by ‘K’). - Small studies
Strength: clear and consistent framework
Limitation: limited to small-scale/studies conducted on very specific and known populations
stratified sampling- how to do it, probabilistic or non, strengths (2),
- probabilistic.
first divide accessible pop into subgroups (ex. by gender), then draw a sample from each subgroup using random or systemic sample strategy.
Strengths: makes sure people with certain characteristics are represented equally (esp when characteristics are less common) and will make sure you have at least a few individuals from each group.
cluster sampling- how to do it, probabilistic or non, big or small sample, strength (1), limitations (2)
- probabilistic
first divide the accessible pop into subgroups (‘clusters’, usually determined by shared characteristics), then select random clusters using a random number table, then sample all members from selected clusters. - large pop/large sample.
Strengths: good representivity of sample relative to the target pop
Limitations: may lead to heterogenous (variance), which makes it hard to draw generalizable conclusions and clear results
what are non-probabilistic sampling strategies, name the 4 types
describe, explore, or examine small groups, explore a phenom that is unknown/misunderstood, understand the perspective of particular inds, and develop an in-depth understanding of a phenom based on disscussions with people who live the experiences. The four types are purposive, snowball, quota, and convenience sampling.
what are the () strengths and () limitations of non probabilistic sampling strategies
Strengths: fast and simple, inexpensive, targets people with specific experiences.
Limitations: higher risk of sampling bias, lack of representivity with the target pop, so the results can’t be generalized to target pop.
purposive sampling- how to do it, probabilistic or non
first ID the perspective you seek regarding the topic of interest, then ID diversification criteria to find people with those experiences, then seek inds that respect those criteria and who can discuss the results.
- non-probabilistic
snowball sampling- how to do it, probabilistic or non, strengths (3)
rely on initial participants to identify potential participants (ask them to spread the word to a pop that there is an ongoing study).
- non-probabilistic.
Strengths: reach stigmatized and hard to reach socially excluded groups, reach unfamiliar groups to the researcher, helpful for new researcher who doesn’t know much abt a particular group and how to approach them
quota sampling- how to do it, probabilistic or non,
first ID categories important to study, then create subgroups based on each category, select inds from each category. “quota”: the number of participants wanted from each group. SELECTION OF PARTICIPANTS IS NOT RANDOM AND SHOULD REPRESENT THE GENERAL POP.
- non-probabilistic
convenience sampling- how to do it, probabilistic or non, strengths (2), best for what kind of research
select inds who are easily accessible by physical proximity, availability of researcher, and available resources.
- non-probabilistic
Strenghts: takes less time to prepare, always feasible
- best for exploratory research
what is sampling bias
when the selection of participants may be influenced by acces to invitation to take part in a research, recruitment strategies, personal interest from the participants.
what do experiments do and what are their characteristics. is participant selection random or purposive
test hypotheses in controlled conditions.
- control over variables, control over the environment, control over participants
- selection by random assignment
what are the goals of experiments
determine causal relationships between variables and explain relationships between variables.
what are the variables in experiments (3), define them, what is factor, level, and outcome NEED TO UPDATE WITH SOME INFO
IV: manipulated by researcher to look at its effects on the DV, also called ‘factor’ in experimental studies (usually 1-2). The level is the value of the IV.
DV: and outcomes:
Confounding Variables: aren’t of interest and not measured, could influence the causal relationship ur trying to study, not always aware of it/them, want to eliminate- can harm results and their impacts may be attributed to the IV.
what are the groups in experiments and how are participants assigned to them, what is a ‘test group’
- everything between the groups is the same except their exposure to the stimulus.
Experimental: ‘test group’- exposed to stimulus/treatment/intervention u want to look at,
Control: not exposed to stimulus and is meant to be a point of comparison to find if the stimulus is the cause of the effect or not. - Random assignation: randomly assigned to each group meaning they have equal chances of being assigned to each group and their selection is independent from other participants. AIM to pre-test equivalence of groups and control over ind variables that could influence the results of the study. The groups being similar will reduce the effects of a confounding variable
what are the 2 diff kinds of experiments called
within-subjects/group design, and between-subjects/group design
what does the within-subjects/group design involve, what does it measure, strengths (1), limitations ( UPDATE INFO AND FILL INNNNNNN
- same participants are involved in repeated testing. Groups are called ‘conditions’ and are
what does the between-subjects/group design involve, strengths (3), limitations (5)
more than one group of participants, diff groups take part in diff experiments based on random assignment, then the outcomes of the diff groups are compared. Groups are either experimental or controlled.
Strengths: carryover effects reduced (practice, time effects, etc.), limits fatigue effects, shorter duration of the study .
Limitations: requires large sample, which also requires more financial and human resources, and takes more time to find, recruit, and experiment on;, individual differences are uncontrolled, which can influence the outcomes