psych research methods Flashcards

(64 cards)

1
Q

why is spearmans rho an appropriate statistical test

A

 the co-variables (self-esteem and negative schema) have been measured using an ‘unsafe’ nonstandardised scale/the researcher constructed the scales herself
 the co-variables cannot be measured objectively/mathematically/may not be ‘real things’
 because units of measurement are not of equal size/of unknown size
so all correlational data

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2
Q

content analysis

A

observational research studying peoples communication via transcript, conversation or interviews indirectly
involves coding data we have, freq of num of times words are spoken
summarise content to draw conclusions

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3
Q

coding

A

categorises communication/info
eg: counting num of times a word is spoken
tally chart for quantitative data

NO PREDETERMINED CATEGORIES
determine categories base on transcripts (epxloratory task)

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4
Q

primary vs secondary data

A

primary = data gathered first hand from ppts specific to aim of the study
gathered specifically for the purpose of investigating causes of X

secondary data = not collected first hand and not cllected to satisfy aims of study
pre existing

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5
Q

thematic analysis

A

use recordings to make transcript
coding to initially analyse transcript
review transcripts looking for emergent themes that might be linked to later behaviour

type of content analysis but more broad+detailed+subjective
identifies broad themes summarising data

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6
Q

positive correlation value

A

0.8+
negative =-1

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7
Q

journal reference

A

surname, initial,year of publication,title of article,journal name(in italics) volume,issue,pages accessed

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8
Q

book reference

A

author,date,title of book (in italics),place of publication,publisher
eg: Duck,S. (1992),human relationships, london, sage

appendix = raw data, questionaire etc

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9
Q

sections of a scientific report - abstract

A

short summary of major elements eg aims, hypothesis, method, results and conclusions
100-300 words
first section of the report
designed to read briefly before examining further

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10
Q

sections of a scientific report - introduction

A

previous research
literature review of the general area of research detailing relevant theories concepts and studies related to the current study
funnel down previous research into your aim and hypothesis at the end

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11
Q

sections of a scientific report - method

A

sufficient detail so other researchers are able to precisely replicate the study

includes:
design - eg independent groups or naturalistic

sample - sampling method and target population

apparatus - assessment instruments

procedure - list of everything that happened in the investigation including things said to ppts eg: briefing, standardised instructions,debriefing

ethics - how they were addressed in the study

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12
Q

sections of a scientific report - results

A

summarise key findings from the investigation
descriptive statistics
inferential statistics - statistical test, calculated and critical values, levels of significance
(qualitative data would include details of thematic analysis)

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13
Q

sections of a scientific report - discussion

A

summarise results verbally
limitations and how to address in future
wider implications of research and eg real world applications

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14
Q

sections of a scientific report - referencing

A

journal = surname, initial,year of publication,title of article,journal name(in italics) volume,issue,pages accessed

book = author,date,title of book (in italics),place of publication,publisher
eg: Duck,S. (1992),human relationships, london, sage

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15
Q

sections of a scientific report - appendix

A

appendix = raw data and calculations etc

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16
Q

mean vs median vs mode

A

mean for interval data
mode for categorical nominal data
median for anomalous data

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17
Q

cognitive approach AO1

A

schemas - mental frameworks and packages of information that help us organise and process experiences
- can lead to stereotypes
- develop with experience and age

inferences - educated assumptions about behaviour based on observable characteristics/behaviours eg: reaction time being longer -> more complex task

informational processing model - idea that the mind and brain operate as computer
inputs = sensory experience
process like computer
behavioural outputs

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18
Q

cognitive approach AO3

A

cognitive neuroscience - make connections between behaviours and which parts of brain are active during those behaviours

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19
Q

biological approach AO1

A

phenotype genotype
behaviour caused by genes hormones neurotransmitters
evolutionary principles
twin studies
biological explanations of mental disorders eg: serotonin in depression (AO3)

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20
Q

humanistic approach

A

self actualisation
congruence - alignment between ideal and current self -> self actualisation
conditions of worth
unconditional positive regard
hierarchy of needs
client based therapy AO3 gives unconditional positive regard to client to build self esteem and confidence to achieve congruence

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21
Q

paradigm

A

a set of shared assumptions and agreed methods within a scientific discipline
about how behaviour is studied and epxlained

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22
Q

paradigm shift

A

the result of a scientific revolution when there is a significant change in the dominant unifying theory within a scientific discipline
shift from one established way of explaining behaviour to a new one
shift to cognitive neuroscience

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23
Q

test retest

A

method of assessing reliability of a psychological test by assessing the same person on 2 different occasions
2 sets of scores correlated for similarity and reliable if correlation is significant

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24
Q

inter observer reliability

A

the extent to which there is agreement between 2 or more observers involved in observations of a behaviour

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25
type 1 vs type 2 errors
type 1 error is when the null hypothesis is rejected and the alternative hypothesis is accepted when the null shouldve been accepted false positive usually if significance lvel is too high (10% vs 5%) type 2 error is when the null hypothesis is accepted and alternative hypothesis is rejected alternative was actually true false negative usually if significance level is too low 5% balances between type 1 and 2 errors
26
theory construction
the process of developing an explanation for the causes of behaviour by systematically gathering evidence by direct observation and then organising this into a coherent account as a theory
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hypothesis testing
method of falsifying theories a theory must produce statements which can then be tested
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investigator effects
any unwanted influence from the researcher - conscious or unconscious that affects the DV eg interactions with each ppt varying
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quasi experiment
experiment where the IV has not been determined by the researcher and naturally exists eg: gender differences
30
natural experiment
IV is not brought about by the researcher and would have appeared even if the researcher wasn't there eg: changes after an earthquake
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ethical issues
informed consent, protection from harm, right to withdraw, confidentiality, debriefing, deception
32
pilot study
small scale trial study run before an investigation involves few ppts to see if procedure works as it should researcher makes changes as necessary saves time and money in long run
33
naturalistic vs controlled
watching and recording behaviour in its normal state where it occurs vs recording behaviours in a structured environment
34
participant vs non participant observations
researcher becomes a member of thee group and records observations records from a distance ant not part of the group
35
unstructured vs structured observational design
un = continuous recording when the researcher writes everything they se during observation structured = researcher quantifies what they are observing using predermined list of behaviours and sampling method
35
structured observations sampling methods - event vs time
time sampling = recording of a behaviour within a timeframe that is pre established before the observational study event sampling = this involves the counting of the number of times a particular behaviour is carried out by the target group or individual you're watching
36
bar charts
bar charts = discrete data divided into categories bars do not touch and show separate conditions
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histograms
bars touch each other so continuous data
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line graph
continuous data
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scattergrams
show association between co variables
39
positive vs negative skew
positive = peak to left more data on right negative = peak to right more data on left median = middle mode = peak mean remaining
40
peer review
assessment of scientific work by experts in the same field ensures published work is of high quality important to: know what work is worth funding validate relevance and quality of research suggest amendments
41
nominal data
categorical data that's discrete use mode
42
interval data
based on numerical scales which are of equal precise units use mean and SD
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ordinal data
data represented in ranked form no equal intervals - subjective use median and range
44
sign test
if S is less than critical value - reject null as there's a significant difference if S is greater than critical value accept the null as there's no significant difference
45
closed question questionnaire example scales
likert scale = agreement with a statement rating scale = identifying a value representing their strength of feeling about a particular topic fixed choice = options
46
questionnaires should...
have clarity avoid overuse of jargon have sequencing qs from easy to hard no filler qs pilot study the qs
47
matched pairs
the researcher needs to ensure that the two groups are matched for key variables * example of at least one key variable – any that might reasonably be expected to affect memory in this situation, eg eyesight, age, intelligence * all participants should be pre-tested / assessed for the key variable / variables * for each person in one condition, the researcher should assign a ‘matched’ person in the other condition.
48
strength vs weakness of correlations
Strength: can study relationship between variables that occur naturally. Can measure things that cannot be manipulated experimentally. Can suggest trends that can lead to experiments. Weakness: It is not possible to say that one thing causes another. Just because there is a correlation between stress scores and days off it does not mean that stress caused people to take days off work, or there may be another variable connecting them. Elaboration through the use of an appropriate example can also receive credit. Any other appropriate answer can get credit.
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standardisation
ways in which procedures/materials/instructions within an investigation are kept the same for all participants
51
content analysis
a method of quantifying qualitative content via coding/categorisation - a form of (indirect) observation that examines artefacts/communications/form of media that people produce
52
improving validity of questionnaire
the researcher could compare the two questionnaires and note any differences * the researcher could (identify and) remove/deselect any items on his questionnaire that are problematic * items might be problematic because they are leading, ambiguous, too complex, double-barrelled etc
53
case study vs questionnaire
case studies can be longitudinal and so changes (in Patient X’s experience) can be observed over time whereas questionnaires tend to provide just a ‘snapshot’ of experience * case studies usually involve several methods (observation, interviews, etc.), enabling checks for consistency/reliability/validity whereas a questionnaire is a single method of data collection * case studies produce rich, detailed qualitative data, whereas questionnaires tend to produce less detailed information.
54
why is primary data better than secondary
Primary data are obtained ‘first-hand’ from the participants’ themselves so are likely to lead to greater insight: eg into the patients` experience of treatment, whether they found it beneficial, negative, etc. x Secondary data, such as time off work, may not be a valid measure of improvement in symptoms of depression. Primary data are more authentic and provide more than a surface understanding: eg participants may have taken time off work for reasons not related to their depression. x The content of the data is more likely to match the researcher’s needs and objectives because questions, assessment tools, etc. can be specifically tailored: eg an interview may produce more valid data than a list of absences.
55
investigator effects
Any (unintentional) influence of the researcher’s behaviour/characteristics on participants/data/outcome prevent this by:  provide a standardised script for the interviewers to use so that they all asked the same questions in the same way to avoid any bias in the students’ responses  the interviewers could have been trained to greet the students in the same way and ask questions with a neutral tone  ensure all interviewers were female or all interviewers were male  ensure that the students were interviewed by someone of the same gender as themselves.
56
assessing reliability of content analysis
Test-retest reliability  content analysis repeated on a second occasion using the same interview data  compare the results of the two separate analysis (number of occurrences of each)  researchers could calculate the correlation between the two ratings  researchers generally accept 0.8 correlation between the test and the re-test . Inter-rater reliability -  use a second person to work with the original researcher  they could read the interviews (separately) and devise a set of categories (and agree operational definitions)  they could tally the occurrences of each of the categories of the interviews (separately)  they could compare their tally charts looking for agreement  researchers could calculate the correlation between the two ratings  researchers generally accept 0.8 correlation between the test and the re-test.
57
concurrent validity
high concurrent validity is where there is close agreement between the data produced by the new test compared to the established test. Close agreement is indicated if the correlation between the two sets of data produced by the two tests exceeds +0.8.
58
aim vs hypothesis
aim = general statement of what the researcher intends to study hypothesis = clear precise testable statement that states the relationship between variables investigated
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randomisation
use of chance methods to control for the effects of bias when designing materials and deciding order of experimental conditions
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standardisation
using the exact same formalized procedure and instructions for all ppts in a study
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population vs sample
population = group of people who are the focus of the researchers interest sample taken from population sample = group of people who take part in an investigation and are representative of popualtion
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