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Applied Research
Seeks to solve practical problems
Basic Research
Knowledge for the sake of Knowledge
What does converging operations mean?
Uses multiple independent methods to investigate the same phenomenon or construct.
Converging operations, in the context of measuring variables, refers to using multiple, independent methods to assess the same construct or variable. This approach provides a more robust and reliable measure compared to relying on a single method, as different methods may have their own strengths and weaknesses.
Advantage of Converging Operations over single measures for each variable
Increasing validity and reduces bias
What does Correlation tell us
strength and direction between two variables
What are the limitations of correlation
Directionality: correlation does not say which variable causes the change. only that they are related
causation: a strong correlation does not proved that one variable causes the other
third variable problem: confounding, a third variable may be influencing the variables under investigation
Sampling procedure
Simple random sampling
stratified samling
cluster sampling
snowball sampling
convenience sampling
Simple random sampling
randomly selected subset of a group in which each member has an equal chance of being chosen
stratified samling
Population is divided into separate groups/strata based on specific characteristic before being randomly selected from each group.
Proportionate and disproportionate
cluster sampling
population is placed into smaller clusters and then randomly select from these clusters.
no sampling frame available. divide population into clusters to obtain sampling frames.
snowball sampling
members of a population are small and hard to reach
participants lead researcher to other participants
convenience sampling
researchers sample whoever is readily available
often the case with research don eon university students
Proportionate stratified sampling
Researches randomly select a number of number of participants from each stratum that is proportional to their relative size of the population
Disproportionate stratified sampling
each stratum is proportionate to the standard deviation of the distribution of the variable. Larger samples are taken in the strata with the greatest variability to generate the least possible sampling varience.
Face validity
the most basic type of validity. It refers to whether the measurement told appears to be measuring what it is supposed to measure.
content validity
this type assess whether the measurement told adequately covers all relevant aspects of the construct being measured. For example, a test of math abilities should include questions that cover all areas of math, not just one specific topic.
convergent validity
this type examines whther the measurement tool correlates well with other measures that are theoretically related to the same construct.
Discriminent validity
This type assesses whther the measurement tool is not highly correlated with measures of different, unrelated constructs.
math and artistic talent should not be correlated
Criterion Validity
assesses whether the measurement tool accurately predicts or corresponds with an external criterion.
Concurrent
predictive
Predictive validity
whether the measurement tool can predict future outcome.
can college entrance exams predict students success in college
Concurrent validity
does it correlate with a behavior that occured at a time?
What does it mean for research to be empirical?
Empirical research is a type of study that relies on observation, experimentation, or experience to gather data and reach conclusions. It involves collecting evidence through real-world observations and analyzing that data, often using scientific methods like experiments or surveys.
What is the defining character of experimental research?
The defining characteristic of experimental research is its ability to manipulate one or more independent variables and observe their effects on a dependent variable, while controlling for extraneous variables that could confound the results.
We gain knowledge through observation. The scientific method relies on observation, but it is more systematic than everyday sensing and often involves means to make things discernable.
What is inductive reasoning?
a method of drawing conclusions by going from the specific to the general.
What is deductive reasoning?
proceed from general information to specific conclusions.
principle of falsifiability
a hypothesis must be able to be proven false
Ethical considerations concerning research with children
consent of adult and assent of child
ethical consideration with deception
debriefing
Indepenent variable
dependent variables
expirament-wise alpha
experiment-wise error rate, total probability of making at least one type 1 error (false positive) accrose all hypothesis test conducted within a single experiment
it matters because multiple hypthesis test increase the overal risk oftype 1 error and adjusting for this risk is crucial for accurate statistical conclusions
Repeated-measures
testing the same participants under different conditions
benefits: increased control because individual differences will not be an issue, fewer participants needed, more sensitive to small effects that might have been masked by independent measures, efficiency data from the same participants.
drawbacks: order effects the order in which conditions are presented can affect participant performance. Participant fatigue , carryover effect and some conditions have lingering results.
Latin square
method of counterbalancing when you have several conditions
it helps control for order effects and ensures that each condition appears in every position within the experimental sequence.
validity
the degree to which a study measures with it is intended to measure
Internal validity
whether the study design is sound enough to establish a causal relationship between the independent and dependent variables
external validity
how generalizable the study and finding are to other populations , setting and conditions
meta-analysis
A meta-analysis is a statistical technique used to combine the results of multiple independent studies on a specific topic. It aims to identify patterns, reveal hidden information, and draw broader conclusions about a research question by pooling data from different studies. Meta-analyses often use rigorous statistical methods to analyze the combined data, potentially offering more reliable and precise conclusions than individual studies alone
quasi-experiemntal designs
used when true random assignment is not possible or ethical
participent variables
individual characteristics that might influence the study results
regression to the mean
tendency of results that are extreme by chance in the first measurement to move closer to the average with measured a second time
phenomenological psychological analysis utilizes something called free imaginitive variation
imagninative variation is used to identify essential elements that remain constant across all variations, revealing the core meaning of the experience.
grounded theory
theories emerge from data
hypothesis is made after data is gathered
know what a null hypothesis is
No effect
If the null hypothesis is true, it suggests that any changes witnessed in an experiment are because of random chance and not because of changes made to variables in the experiment.
Independent T-test
collecting from two different groups
Dependent T-test
collecting from the same people more than once
Chi-square test of independence
categorical and nominal
pearsons R correlation
comparing means
Regression
gives formula for the line
Anova
numerical
comparing means
t and f
t=fsquared
extraneous variable
any factor, other than the independent variable that could potentially influence the results of a study. is a variable that is not being directly investigated but can still affect the dependent variable
quasi-experimentak designs
used when ture experiments are unethical such as the effect of smoking or corporal punishment
threats to validity when studying college students
convenience sampling
university not like the general population
phenomenological stance
involves approaching events and activities with an open, investigative mind, consciously trying to "bracket out" assumptions and remaining attentive to what is present. It's a research approach that prioritizes understanding the essence of human experience, focusing on how individuals perceive and make sense of their world.
Two fundamental procedures
epoche (bracketing) of the natural sciences
put aside theories of the objective nature of the events
epoche of the natural attitude
put aside questions of the objective nature of the events
the objective of the study is not factos but phenomena, which are abstracted by the perceiver according to their projects
in line with the epoche of the natural attitude, wertz does not call into question the objectivity of teresa’s statement
what is the basic premise of narrative inquiry
narrative inquiry is the study of human experience through the interpretation of stories. It invovles making sense of accumulated kowledge ad gained expereince by telling and analyzing stories.
narrative research takes as a premise that people live and/or under or under their lives in storied forms, connecting events in the manner of a plot that has a beggining, middle and end points.
Mediation model
if m is a full mediator then c’ is zero
Scales of measurement
nominal: name
ordinal: order
interval: no true zero
ratio: true zero
nominal
categories of observations (1=male, 2=female)
ordinal
order of observations (more, less, equal) (1st, 2nd, 3rd)
interval
represents number of amount variables belonging to observation
1 person, 2 people, 3 people, 4people (discrete)
temperature in degrees (continuous)
ratio
represent magnitudes/quantities with a true zero
height, weight, mass. length, temperature in kalvin
Likert-type
do you agree or disagree with this statement on a sale of 1-10
guttman
can you run 15 miles?
can you run three
if you can run three yu can run 15
Semantic differential
Ratin scale. On a scale of 1-5 rate this from good to bad