B

Experimental Notes

Ideas

  • 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

Scientific Process

    1. Find an idea

      • read scientific literature

      • personal observations

      • talking to other people

    2. Literature Search

      • read literature

      • cross reference ideas

      • critically evaluate articles

      • discuss with others

        • where does this idea fit in with psychology?

    1. Formulate a research question

      • consider the scientific merits of the topic

      • consider constructs you measure

        • can you measure scientifically?

    2. 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

    3. Practical Considerations

      • sample - do I have one/can I get one?

      • cost

      • do testing instruments exist? can I get them?

      • time

      • ethical considerations

    4. Get IRB approval

      • Institutional Review Board

      • never collect data without IRB approval

    5. Is it practical?

    6. Conduct Research

    7. Obtain Results/Data

      • analyze data

      • organize results

      • report results

Finding an Idea

  • 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

Proposal Paper

  1. title page

    • concise description of the topic

    • APA 7th, student paper protocol

  2. abstract

    • 500 word summary of paper

    • write after the paper

  3. introduction

    • state hypothesis/research question

    • give rationale for research question

  4. literature review

    • background information on topic

    • explain how your idea fits into past research

  5. method

    • what are you doing in the study

      • participants

      • measure variables

  6. results

    • straightforward

    • analyze the data

    • statistics

  7. discussion

    • discuss results

      • was the hypothesis supported?

      • why or why not?

  8. conclusion

    • tie report together

    • areas for improvement

    • ideas for future study

  9. appendix

    • charts, photos, surveys

Ethical Research

  • 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

  • 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

other types of research

  • 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)

operationalization (operational definitions)

  • 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

literature review

  • 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

communicating science

  • 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)

hypothesis

  • 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

choosing the right statistical tool

  • 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

conducting interviews

  • 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

surveys

  • 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

qualitative research

  • 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

types of qualitative studies

  • 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