birth order and independence
birth order and academic anxiety/achievement
beliefs about misinformation in college aged students
birth order and personality type
persoanlity trait and persuasion
show an ad of some type and see how likely people are to buy the product based on personality traits
personality traits and emotional expression HEXACO
family dysfunction and music taste?
religiosity and what is believed as morality
Tipping habits
implicit bias (https://implicit.harvard.edu/implicit/selectatest.html)
altruism
Find an idea
read scientific literature
personal observations
talking to other people
Literature Search
read literature
cross reference ideas
critically evaluate articles
discuss with others
where does this idea fit in with psychology?
Formulate a research question
consider the scientific merits of the topic
consider constructs you measure
can you measure scientifically?
Select methodological approach
descriptive
experimental
allows us to determine cause/effect relationships
correlational
allows us to investigate the relationship between two or more variables
cannot determine cause/effect relationship
Practical Considerations
sample - do I have one/can I get one?
cost
do testing instruments exist? can I get them?
time
ethical considerations
Get IRB approval
Institutional Review Board
never collect data without IRB approval
Is it practical?
Conduct Research
Obtain Results/Data
analyze data
organize results
report results
personal strategies
reading novels
listening to the radio
watching TV
these sources of information reveal problems that many need research to aid in their resolution
“why” questions
deviations
find the exception and evaluate
when the general trend itself is odd
introspection
analyze your own behavior
sustained, deliberate observation
case studies
participant observation
definitions
define a topic better
pushing plausible to the extreme
push reasonable hypothesis to an implausible extreme
ex. extreme eye contact
interpersonal strategies
ask others about ideas for research
listen to lectures
topics of interest without specific questions
printed sources
journals, text books, technical reports, thesis/dissertations
title page
concise description of the topic
APA 7th, student paper protocol
abstract
500 word summary of paper
write after the paper
introduction
state hypothesis/research question
give rationale for research question
literature review
background information on topic
explain how your idea fits into past research
method
what are you doing in the study
participants
measure variables
results
straightforward
analyze the data
statistics
discussion
discuss results
was the hypothesis supported?
why or why not?
conclusion
tie report together
areas for improvement
ideas for future study
appendix
charts, photos, surveys
pseudoscience - activities and beliefs that are claimed to be scientific but are not
biorhythms?
ethical dilemmas
does the potential gain in knowledge from the research study outweigh the cost to the research participant
Institutional Review Boards
APA Code of Ethics
investigator’s responsibility to evaluate their study in light of:
degree of risk
except in minimal risk situations, the investigator has the ethical responsibility to inform the research participants about all aspects of the research
if deception or concealment is needed, the investigator must determine if alternative procedures are available that do not employ deception or concealment
deception is okay when:
the research objective is of great importance but cannot be achieved without using deception
on being fully informed later, participants are expected to find the procedures reasonable and to suffer no loss of confidence
research participants are allowed to withdraw from the study at any time
investigators take full responsibility for detecting and removing stressful after-effects of the experience
you cannot coerce a person to participate in research
must protect participant from physical and mental discomfort, harm, and danger
after the data is collected, the investigator provides the participant with information about the nature of the study and attempts to remove any misconception that may have arisen
informed consent - the principle that research participant should be fully informed about all aspects of the study
not necessary in some studies (ex. archival research)
deception
active deception - refers to deception by commission where the experimenter deliberately misleads teh research participants such as giving false information about the purpose of the experiment
passive deception - deception by omission where certain information is withheld from the participants
debriefing
very important to use after deception
milgram reported that only 1.3% of his participants reported negative feelings about his experiment
4% believed that the experiment should not continue
two goals: dehoaxing and desensitizing
experimental research
independent/dependent variable
single blind study - subjects do not know whether they are in an experimental or control group
double blind study - neither subjects or researcher know which subjects are experimental or control
both receive placebo
placebo - inactive substance or fake treatment used with the control group in a blind or double blind study
all medications approved by the FDA have numerous double blind studies
randomization
has to happen in experimental design
each participant has an equal chance to be placed in either the experimental or control group
helps control confounding variables
quasi-experimental design is not randomized, still provides valid data
confounding variables
variable that affects the dependent variable so that any change in behavior could be due either to the independent variable or the confounding variable
unplanned variables that affect the dependent variable but which are not part of the independent variable\
operational definitions/operationalizations
definition of the concept by specifying the operations required to measure the concept
can apply to dependent or independent
define to measure
validity
internal validity - says that the experiment results are valid
external validity - says that you can generalize the results to other groups
usually compete with one another
to get high IV, you need control over the situation → control makes the situation less natural which lowers EV
internal is the most important
pre-experimental designs (pilot studies)
problems: lack randomization, do not control confounding variables
useful: test levels and procedures to be used in the final experiment
can be used as a legitimate experiment, but problems should be discussed in report
using a large number of participants offsset problem
observational:
usually correlational so does not involve manipulation of variables
behavioral categories often used
looking for the number of occurrences of behavior
categories must be operationally defined
behavior that is not well defined leads to recording errors
results that are difficult to interpret
to develop defined categories, begin with clear idea about the goals of your study
quantifying behavior
frequency method - you record the number of times a particular behavior occurs within a time period
durative method - record how long a behavior lasts
intervals method - divide observation into discrete time intervals and then record whether a behavior occurs within each interval
bias
observer bias - occurs when your observers know the goals of the study or the hypothesis
interpretation bias - observers sometimes interpret what they see rather than simply record behavior
naturalistic observation
observing subjects in either natural environment without making nay attempt to control or manipulate variables
very difficult
simply observing may disturb behavior
make unobtrusive observations
gradually introduce yourself to the environment of subjects
abandon direct observation for indirect
ethnography
become immersed in the behavior or social system being studied
joining cults, tribes, etc.
case history
descriptive technique where you observe or report on cases
archival research
involves studying existing records
historical accounts of events, census data, court records, crime reports
have specific research questions in mind
consider need to gain access
you may have to ask for permission
sources: census
content analysis
used when you want to analyze written or spoken record for the occurence of a specific category or event
one-shot study
two variables - X, O
X can be a variable that you introduce or one that occurs naturally
inferences from the study are based on general expectation of what would have happened if X had not occurred
survey also fits this category
one group pre-test/post-test design
O1 (observation 1) X (treatment) O2 (observation 2)
ex, test the creativity of a group uof fifth graders (o1) and then the creativity of the group after (o2) they have gone through puberty (X)
process of defining variables into measurable factors
ex. hypothesis: expression of anger builds more anger
procedure for identifying instances of the critical terms: increased heart rate, change in tone of voice, physical aggression/violence, scores on anger survey
define variable to make them measurable
define exact measuring method used and allows other scientists to follow exactly the same methodology
fuzzy concepts
vague ideas/concepts that lack clarity or are only partially true
important to define the variables to facilitate accurate replication fo the research process
advantages
good for social science determines how researchers measure emotions
allows others to replicate research, perform statistical analysis
specificity
disadvantages
involves narrowing down from broad, less clear concepts
provoke disagreement
can be complained as “too narrowly interpreted”
disagreements are settled by philosophical, political, pragmatic, moral argument
why:
science is an organized body of knowledge, not a random collection of facts
a finished study answers questions “this is what happened” and “this is where it dits in”
to know where it fits in you have to know what was done before
literature search
background search
sources:
textbooks
introductory textbooks provide a broad overview of field
time lags, can be biased
good starting point
monographs
book-length sources that go beyond the textbook
goes into specific topic areas
communicates results of original research
makes unique contributions to the field
ex. Variety of Religious Experience by William James
review sources
psychological bulletin: publish evaluative and integrative reviews of substantial research
annual review of psychology
reviews present selective/evaluative status and recent progress in main areas of the field
contains about 20 chapters
each chapter contains an extensive reference list
original journals
most published research appears as articles in journals
primary sources
present the basic results as interpreted by the experimenter rather than a third party’s compilation or summation
psychological abstracts
an abstract/short summary of all psychological research including government documents
dissertations and thesis
most doctoral programs require a thesis/dissertation
an original piece of research that demonstrates the researchers knowledge in that area
extensive literature review
conference papers
presentations or conferences can include reports of research, symposia discussions, and invited addresses
earliest public report of recent research
many conference papers never appear in print
attain by:
go to conference, take notes, handout
email and ask for copy
government documents
agencies issue thousands of publications each year
US government printing office
available on internet
internet
websites dedicated to all kinds of topics
use with caution
guidelines:
authority - is the source reliable
accuracy - can the info be verified
objectivity - is the info free of bias
currency - available and up to date
coverage - is the info uniquely available on this site?
PsychINFO
produced by APA
1900 journals for psychological research
indexes books and book chapters dissertations and research reports
some entries date to 1880s
PsyLIT
everything published in psychology since 1974
ERIC
contains primarily education documents
PubMED
treeing backwards: find the most recent article that deals with topic of interest, then find articles at the reference list at the end
APA recognize importance of communication in Guideline for the Undergraduate Psychology Major by making communication one of the main goals for psych majors
know your audience
several different purposes
two distinct audiences
professional peers/fellow scientists - need to know what you found and how you found it
general public - non-scientists, family members, neighbors, etc, who ay be able to use psych findings to improve their lives
say it succinctly
only long enough to convey the point
long-winded explanations make the science harder to understand
every sentence has a purpose
choose verb tense wisely
first - what you think will happen
next - describe how you did it
finish- explain what happened
choose words wisely
specific and precise
avoid saying what the study was intended to find
never appropriate to say a study can prove anything
refer to self as researcher
keep data clear and organized
fact based case to justify your study
logical and intuitive organization of ideas
taking notes on articles
read article at least twice
highlight parts of sentences
notes in margins
transfer notes into doc that organizes and summarizes notes
keep notes short and succinct
citation, general topic, subtopic ,key research cited in article, overall thoughts
for empirical articles:
hypothesis/research questions, participants, design elements, variables, for review articles/chapters
qualitative article:
key theories/ideas (summary of central ideas)
null hypothesis is tested
alternative hypothesis (Ha):
independent variable caused the result
no way to definitively prove (why we test the null)
prove that null hypothesis is probably wrong
ex. anti-depressants cure depression
statistical significance cut off is 0.05 (5% or less)
reject the null
null hypothesis (Ho):
all other possible outcomes of study
hypothesis of equality
ex. anti-depressant increases depression/stay the same
researcher’s steps for hypothesis testing
state alternative and null hypotheses
take population to be sampled
assume the null hypothesis is correct
apply the treatment conditions to randomly selected samples
find the significant difference or relationship
accept or reject null hypothesis
reasons to test the null hypothesis
it is the most likely explanation for what has occurred
no way to verify alternative to the null hypothesis directly
Type 1 and Type 2 errors
type 1 error: if we reject the null hypothesis when it really is true
no relationship but claim there is
false positives
“if you find results and there are none, you have error type 1”
type 2 error:
false negatives
“if you find nothing but results are true, you have error type 2”
issues with hypothesis generating
hypothesis that is too vague to test
ex. Ha - love is better than hate
wanting to know everything
ex. I want to know why people gossip
Insisting on making a world changing impact
insisting on enjoyment
what’s your plan
describe, make inferences?
what type of measurement are you using?
how often do we measure each participant?
how many comparison groups does the study have?
definitions:
measurement scale - classification system used to measure a variable
nominal scale - scale where numbers are used as category
dummy coding - process of assigning number to represent categories when measuring nominal scale variable
dichotomous variables - nominal scale variable with only two categories
ordinal scale - measurement scale where numbers are used to rank the variable on some dimension
interval scale - scale where numbers indicate an ordering to the measurements and the difference between each measurement value is the same
ratio scale - measurement scale where numbers indicate an ordering to the measurements, the difference between each measurement value is the same and there is a true zero point
descriptive stats
frequency of form
histogram - type of chart used to graph in continuous variables; the frequency of the measurement is represented with bars that touch to indicate that continuous variable is being graphically displayed
frequency polygon - chart used to graph continuous variables; the frequency of a measurement is represented with a point in the graph and these points are connected with a line similar to the histogram
frequency distribution table
bar chart
normal distribution - distribution of scores that resembles a bell-shaped graph
central tendency (mean, median, mode)
helpful to identify the average score
mean → interval and ratio
median → ordinal data
variability
range - measure of variability in the date computed by subtracting the highest score from the lowest score
measure associations between variables
pearson product moment correlation coefficient (pearson r) - the correlation coefficient used when both variables are continuous
tells strength and direction of two variables
scale of 0 to 1 or 0 to -1
look at absolute value (0.80 is just as strong as -.80)
positive correlation - variables move in same direction
negative correlation - variables move in opposite directions
inferential stats
samples to make estimates about populations
t-tests
anovas
general guidelines:
state purpose of the interview
identify potential participants
determine questions to ask/question order
interviewer bias
any way that the interviewer influences the participants responses
consider demographic characteristics
qualities of good interviewer
prepared
fully knowledgable about interviewee
proactive questions (clear, don’t sound rushed or nervous)
attentive, focused, sensitive, tolerant, appropriate segues, highly organized
interview schedule
type of protocol that includes the questions to ask and anticipated order in which the interviewer should ask them
remain neutral and avoid any reacts that influence response
plan for potential follow-up questions
pay attention to sequence of questions
conducting the interview
establish rapport early
interview should feel like a conversation
take handwritten notes when possible
stick to the interview schedule
engage in active listening
concise, preplanned set of questions designed to yield specific information to meet a particular need for information about a pertinent topic
advantages:
inexpensive
quick
uniformity of questions - each respondent sends the same set of questions phrased in exactly the same way
standardization
disadvantages
sampling problems
is data accurate
1936 literary digest poll
polling
use tracking polls
census 0 measure each person about whom w wish to know
sampling - selection of people to participate in a research project
population - the entire group of people that the researcher desires to learn about
sample- smaller group of people who actually participate in the research
representative sample - one that is approximately the same as the population in every important research
probability sampling - procedures used to ensure that each person in the population has a known chance of being selected to be part of the sample
types of sampling designs
simple random sampling Srs
back of the stats textbook?
systematic sampling
using sampling interval or sampling ratio
get as generalized sample as possible
stratifies sampling procedure
stratify by subgroups
ex. freshman, sophomore, junior, senior
probability proportionate to size (PPS) sampling
in the first stage of sampling, each cluster is given an chance of selection proportionate to its size
methods of surveying
direct (face to face)
ex. going door to door, stopping people on street
controlled population (students in a class)
indirect (ex. mail)
factors affecting the percentage of returned questionnaire
length, reputation of sponsoring agency, complexity of questions, etc.
in cases where probability sampling is impossible, nonprobability must be used
snowball sampling - one individual is contacted, they contact their friends
difficulties
convenience samples - samples in which the researcher has sampled whatever individuals were readily available without any attempt to make the sample representative of a population
designing a survey
objective - state why the survey is necessary/what you want to find
sample - state which population you are interested in
questionnaire
decide how sample will be surveyed
decide on type of questions
decide type of nominal scales
categorical
no real number value (like number labels in a race)
ordinal
indicate rank on a survey item
difference among responses, but does not indicate magnitude among differences
Likert scales
responses are not bivalent
discrete visual analog scales
helpful 1-10 not helpful
more generic than likert
open and close-ended questions
may leave out answers forcing subject to choose between inadequate answers
working may make choice more appealing
guidelines for close ended
response categories should be exhaustive
answer categories should be mutually exclusive
open and close-ended questions can be used together
contingency questions
one question that determines which question is answered next
matrix questions
several questions in a row that have the same set of answer categories
always include neutral point (undecided)
items must be clear
categories must not overlap
avoid double-barreled questions
ex. do you believe in government bailout and no strings?
ensure respondent’s competency to answer
use short items
only long enough to get essential data
avoid negative items (ex. is your auto not insured)
avoid biased items/terms
advantages of a survey
helps with expenses
uniformity of questions
standardization
sensitive questions
avoid personally embarrassing questions
could admit illegal behavior
ensure confidentiality
format
spread out
uncluttered
maximize white space
ordering questions
ask open-ended questions first
don’t randomize, should be flow to questions
in self-administered - begin with most interesting set of questions
instructions
clear instructions and introductory comments
short intro to make sense of questionnaire
how to indicate answers
guide about one-word, sentence, or paragraph answers for open-ended
mixed research methods
generic term representing a variety of methods that focus on obtaining an in-depth account of participants perspective of their own world and their experience of events
mixed research methods
blend of qualitative and quantitative methods that capitalizes on the strengths of each to examine a research question from multiple perspective
qualitative vs. quantitative
in-depth info from fewer participants // focused piece of info from more participants
values participant perspective // less emphasis on subjective interpretation
favors studying participants in natural settings // favors studying participants in controlled lab setting
detailed descriptions of bx written or verbal // relies on numbers to describe data
no hypothesis testing // almost always test a hypothesis
does not seek to establish cause and effect (describing relationships) // sometimes establishes cause and effect
very little structure, participant designed // seeks to generalize a study to broader populations
avoid summarizing, categorizing, or reducing data // use data summaries, makes generalizations of groups of people rather than focusing in on groups of people
research has more influence on data collection // researcher works to minimize data
similarities with self-report study
amount of time and energy
relies on small sample which makes it hard to generalize
possible that participant may lie/provide inaccurate info
common terms
triangulation - using multiple methods to assess the same information
reflexivity - researcher monitors and records their role in the data collection on a continuous basis during the study, which allows for a more accurate assessment of the researchers influence
bottom-up approach - researcher develops a theory by exploring a topic using information provided from the participate to direct experience
top-down approach - deductive approach, researcher test preconceptions and previously established theories with collective data
situated analysis - approach where the researcher examines a topic while it is embedded within its naturally occurring context
holistic analysis - researcher examines how numerous properties contribute to patterns within the larger and more complex system
phenomenological approach - seeks to understand human experience and the meaning of experiences based on how those involved view that situation
action research
explicitly involves participants in the research and tries to change some aspect of the research’s focus
case study
comprehensive description of a specific organization, group, or person over a period of time that contains information from a variety of sources
conversation analysis
examines patterns of dialogue
focuses on turn taking, gaze direction, speaker’s sequence of speech
content analysis
systematic analysis of written work
ethnography
uses detailed long-term observations to place a phenomenon in the cultural context
focus group
data collection format where several participants, likely strangers, are brought together to talk about a specific topic
grounded theory technique
approach where researcher does not have any explicit theories or hypothesis to test prior to research
instead uses information from participants to generate the categories and built a theory
interview
mimic a conversation where the research elicits self-report data directly from the participant
narrative analysis
examination of first person stories or descriptions of one’s life
analyzed by the researcher from the storytellers point of view
post-modern approach
perspective that questions assumptions about nature and research
truth is unique to individuals so we cannot know absolute truth
scientific thinking is outdated