Research Methods Flashcards

1
Q

What is an operationalised IV/DV?

A

clearly defining how the IV or DV will be measured

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2
Q

What is an aim?

A

a general statement of what the researcher intends to investigate, the purpose of the study

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3
Q

What is a directional hypothesis?

A

states the kind of difference or relationship between the two conditions being investigated e.g. higher or lower, more or less, faster or slower

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4
Q

What is a non-directional hypothesis?

A

states there is a difference

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5
Q

What are extraneous variables?

A

any variable other than the IV that may affect the DV is not controlled. do not vary systematically with the IV

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6
Q

What are examples of participant variables?

A
  • age/gender
  • intelligence
  • disability
  • concentration
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7
Q

What are examples of situational variables?

A
  • weather
  • noise
  • time of day
  • temperature
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8
Q

What are confounding variables?

A

any variable other than the IV that may have affected the DV. varies systemically with the Iv

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9
Q

What are investigator effects?

A

any effect of investigator’s behaviour on the research outcome

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10
Q

What are order effects?

A

participants’ responses in the various conditions are affected by the order of conditions to which they were exposed

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11
Q

What is standardisation?

A

using exactly the same formalised procedures and instructions for all participants in a research study

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12
Q

What is randomisation?

A

the use of ‘chance’ in setting up the investigation

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13
Q

What is independent groups?

A

different people in each condition

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14
Q

What are the strengths of independent groups?

A
  • reduction of demand characteristics
  • no order effects
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15
Q

What are the weaknesses of independent groups?

A
  • participant variables may affect the DV - reduce validity
  • larger sample size needed
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16
Q

How to control participant variables in an independent groups design?

A

participants randomly allocated to each condition

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17
Q

What is repeated measures?

A

same people do each condition

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18
Q

What are the strengths of repeated measures?

A
  • participant variables controlled
  • smaller sample size needed
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19
Q

What are the weaknesses of repeated measures?

A
  • greater chance of demand characteristics
  • order effects (act as confounding variables)
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20
Q

How to control order effects in a repeated measures design?

A

counterbalancing where half the participants take part in condition A then B, and the other half do B then A

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21
Q

What is matched pairs design?

A

pp’s have been matched e.g. age, IQ then pairs are separated so go into different groups. controls confounding or participant variables

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22
Q

What are the strengths of matched pairs design?

A
  • reduction in demand characteristics
  • participant variables are reduced
  • no order effects
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23
Q

What are the weaknesses of matched pairs design?

A
  • time-consuming and expensive
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24
Q

What is random sampling and how to do it?

A

every member of the target population has an equal chance of being selected for the sample
1. obtain a list of all names of all people in target population
2. all names assigned a number
3. actual sample is selected through lottery method e.g. picking numbers out of hat

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25
What are the strengths of random sampling?
- more representative than opportunity sampling - unbiased = confounding or extraneous variables equally divided between groups = higher internal validity
26
What are the weaknesses of random sampling?
- can take a long time - could still be unrepresentative
27
What is systematic sampling?
this sample is when every 'nth' member of the target population is selected e.g. every 5th pupil on a school register
28
What are the strengths of systematic sampling?
- avoids researcher bias - more representative that opportunity sampling
29
What are the weaknesses of systematic sampling?
- participants may refuse to take part - time-consuming
30
What is stratified sampling?
sample is a proportional representation of the target population. the target population is broken down into sub-groups, e.g. age. you then randomly sample from those groups
31
What are the strengths of stratified sampling?
- avoids researcher bias - representative so results can be generalised
32
What are the weaknesses of stratified sampling?
- time consuming - complete representation isn't possible
33
What is opportunity sampling?
the researcher selects pps from whoever is willing and available at the time e.g. people in the street
34
What are the strengths of opportunity sampling?
- convenient = easy, quick and cheap
35
What are the weaknesses of opportunity sampling?
- less representative of target population as pp's all from same location e.g. one town - researcher bias
36
What is volunteer sampling?
participants select themselves to be put into the sample e.g. from newspaper ad
37
What are the strengths of volunteer sampling?
- easy and quick - access to people you would not normally access - people are more engaged
38
What are the weaknesses of volunteer sampling?
- volunteer bias as volunteers tend to be more willing and eager
39
What is a lab experiment?
controlled environment where researchers manipulate the IV. strict control of extraneous variables
40
What are the strengths of a lab experiment?
- high control over confounding and extraneous variables = high internal validity = cause and effect - replication to see if valid
41
What are the weaknesses of a lab experiment?
- may lack generalisation - low external validity - low mundane realism - demand characteristics
42
What is a field experiment?
natural environment (participants usual environment,) researcher manipulates the IV
43
What are the strengths of a field experiment?
- High mundane realism - High external validity
44
What are the weaknesses of a field experiment?
- cause and effect between IV and DV is more difficult to establish - cannot replicate - ethical issues = cannot consent if don't know being studied
45
What is a natural experiment?
IV changes naturally = would have happened even if researcher isn't there e.g. before and after natural disaster. location could be in a lab. rutter orphan studies is an example!
46
What are the strengths of a natural experiment?
- opportunities for research that may not otherwise be undertaken - high external validity
47
What are the weaknesses of a natural experiment?
- hard to generalise findings - participants may not be randomly allocated to experimental conditions
48
What is a quasi experiment?
IV changes due to participant variables e.g. age, gender, researcher cannot randomly alloacte pp's to groups. to due with participant themselves!
49
What are the strengths of a quasi experiment?
- often carried out under controlled conditions (same strengths as lab)
50
What are the weaknesses of a quasi experiment?
- participants may not be randomly allocated to experimental conditions = may be confounding variables
51
What are the two self-report techniques?
questionnaires + interviews
52
What are open-ended questions and pros + cons?
no fixed range of answers and allow pps to elaborate on their answers and give more detail. they generate qualitative data, however they are difficult to analyse
53
What are closed questions and pros + cons?
fixed number of responses. force pps to choose an option. easy to analyse and generate quantitative data, but lack detail
54
What is a likert scale?
respondents indicate their agreement for a statement using a scale of usually five points. scale ranges from strongly agree to strongly disagree
55
What is a rating scale?
gets respondents to identify a value that represents their strength of feeling about a particular topic
56
What is a fixed choice option?
list of possibilities and respondents are required to indicate those that apply to them
57
What are the strengths of questionnaires?
- large sample of people - representative - easy to use - researcher doesn't need any training - fixed choice questions - easier for statistical analysis as they produce quantitative data
58
What are the weaknesses of questionnaires?
- responses may not be truthful - social desirability - response bias - pp s answer in similar way e.g. always answer yes (acquiescence bias) - closed questions with fixed responses
59
What is a structured interview?
predetermined list of questions asked in a fixed order
60
What is a semi-structured interview?
list of set questions but interviewer free to ask follow up questions not on list
61
What is an unstructured interview?
like a conversation. no set questions. general aim that a certain topic is discussed. encouraged to elaborate
62
What are strengths of a structured interview?
- can replicate and test responses for reliability - reduces individual differences between interviewers
63
What are weaknesses of a structured interview?
- may restrict information collected - people may be less happy to disclose personal info in an interview
64
What are strengths of a unstructured interview?
- more flexibility
65
What are weaknesses of a unstructured interview?
- analysis is more difficult - risk of lying - interviewer bias
66
How to design an interview?
- interview schedule = list of questions to cover which should be standardised to reduce interviewer bias - quiet room = increase likelihood participant will open up - begin with neutral questions = feel relaxed and comfortable
67
How to write good interview questions?
- avoid jargon - avoid emotive language and leading questions - avoid double negatives
68
What is a natural observation?
natural environment where the target behaviour will normally take place e.g. at home/in a nursery
69
What are the strengths of a natural observation?
high ecological validity = generalised
70
What are the weaknesses of a natural observation?
- cannot replicate - lack of control over extraneous + confoudning variables
71
What is a control observation?
conditions are set by the researcher who can control key variables e.g. the strange situation/bobo doll. control of extraneous and confounding variables.
72
What are the strengths of a control observation?
- higher reliability - higher internal validity - control of extraneous and confounding variables.
73
What are the weaknesses of a control observation?
- low ecological validity = cannot generalise
74
What is a overt observation?
pps know behaviour is being observed = consent
75
What are the strengths of a overt observation?
- doesn't break ethics
76
What are the weaknesses of a overt observation?
- demand characteristics
77
What is a covert observation?
pps do not know their behaviour is being observed = no consent
78
What are the strengths of a covert observation?
- no demand characteristics - high internal validity
79
What are the weaknesses of a covert observation?
- low ethics
80
What is participant observation?
the observer joins in with the group
81
What are the strengths of a participant observation?
- increased external validity
82
What are the weaknesses of a participant observation?
- researcher bias - hard to note all behaviours - lose objectivity
83
What is non-participant observation?
the researcher remains separate from the group they are studying
84
What are the strengths of a non-participant observation?
- less likely to have researcher bias - more objective
85
What are the weaknesses of a non-participant observation?
- less insight into behaviour of the group as they are removed
86
* What are behavioural categories?
when a target behaviour is broken up into components that are observable and measurable (operationalise them) observable, measurable and self-evident
87
What is event sampling?
a target behaviour is first established then the researcher counts the number of times this event happens
88
What is time sampling?
a target individual is first established, then the researcher records their behaviour in a fixed time frame e.g. every 60 secs
89
What is a pilot study?
a small-scale trail run of the actual investigation with the aim to check procedures, material and measuring scales. so researcher can change or make modifications!
90
What is a single-blind procedure and strength?
participants are unaware of the test being conducted but the researcher is aware. reduces demand characteristics
91
What is a double-blind procedure and strength?
neither participants or the researcher is aware of aims of the study. free from researcher bias
92
What is a correlation?
researcher investigates an association between two variables, called co-variables
93
What is a positive correlation?
as one co-variable increases so does the other
94
What is a negative correlation?
as one co-variable increases, the other decreases
95
What is zero correlation?
when there is no relationship between co-variables
96
* What are strengths of correlations?
- easy to analyse - generate quantitative data - objective and reliable - may suggest ideas for future research - quick and economical as secondary data can be used
97
What are weaknesses of correlations?
- cannot demonstrate cause and effect - an intervening variable could explain why co-variables are linked - co-variables need to be operationalised - when a score is manufactured there is a chance it doesn't measure what it intends to do
98
What is qualitative data?
expressed in words, could be written description of the thoughts, feelings and opinions of participants
99
What are strengths of qualitative data?
- Richness of data - Greater external validity
100
What are weaknesses of qualitative data?
- difficult to analyse - conclusions rely on subjective thoughts from researcher = researcher bias
101
What is quantitative data?
data that can be counted, usually given as numbers, can be analysed and converted to graphs etc.
102
What are strengths of quantitative data?
- simple to analyse - comparisons between groups made - more objective, less prone to bias
103
What are weaknesses of quantitative data?
- less detailed
104
What is primary data?
information obtained first-hand be a researcher specifically for the experiment. data is gathered from experiment, questionnaire, interview or observation
105
What are the strengths of primary data?
- gets the target information required
106
What are the weaknesses of primary data?
- requires time and effort
107
What is secondary data?
information already gathered by someone else and so pre-dates the current research project. may be in journal articles, books, or websites
108
What are the strengths of secondary data?
- inexpensive and easily accessible
109
What are the weaknesses of secondary data?
- variation in quality and accuracy = could challenge validity
110
What is meta-analysis?
the process of combining results from a number of studies on a particular topic. aim to provide a overall statistical conclusion
111
What are the six features of a case study?
1. detailed, in-depth 2. one person or small group 3. longitudinal 4. rare+unique case 5. traingulation 6. used when unethical
112
What are the strengths of a case study?
- high in validity - study unusual behaviour - rich in detail generate hypotheses for future studies
113
What are the weaknesses of a case study?
- lack genralisability - prone to researcher bias - low in validity = rely on stories and memories from family
114
What does reliability mean?
how consistent the findings are - results should be the same every time
115
What is test-retest reliability?
1. give pp the questionnaire to answer 2. wait a period of time 3. re-administer the same questionnaire to the same pp 4. check if there is a significant positive correlation between results 5. if +0.80 then it's reliable
116
What is inter-observer reliability?
1. 2 or more observers watch the same event 2. data is recorded independently 3. compare results to see if significant positive correlation 4. if +0.80 then it's reliable
117
How to measure reliability?
correlational analysis. two sets of scores are correlated and correlation coefficient should exceed +0.8
118
How to improve reliability of questionnaires?
- test-retest - unambiguous questions - closed, fixed-choice questions
119
How to improve reliability of interviews?
- same interviewer - trained interviewer - no leading questions - structured interviews
120
* How to improve reliability of observations?
- operationalise behavioural categories - no overlap in categories
121
How to improve reliability of experiments?
- standardised procedures
122
What is face validity?
when a measurement in a psychological test 'on the face of it' appears to measure what it sets out to measure
123
What is concurrent validity?
when results obtained from a particular psychological test or scale have a positive correlation
124
How to improve validity in experiments?
- control group - standardise - single and double-blind
125
* How to improve validity of questionnaires?
- lie scale = control social desirability - anonymity
126
How to improve validity of observations?
- covert observation - make sure behavioural categories aren't broad or overlapping
127
How to improve validity of quantitative research?
- use of quotes - triangulation (use of different sources)
128
What are the strengths of the mean? INTERVAL
- most sensitive = includes all the values = represents all the data as a whole
129
What are the weaknesses of the mean? INTERVAL
- extremely high or low values could distort
130
What are the strengths of the median? ORDINAL
- extreme scores don't affect - easy to calculate
131
What are the weaknesses of the median? ORDINAL
- less sensitive = does not include all the scores
132
What are the strengths of mode? NOMINAL
- easy to calculate - useful when data is in categories
133
What are the weaknesses of mode? NOMINAL
- several modes not useful - crude measure = most common score might not represent data as a whole
134
What are the strengths of range? ORDINAL
- quick and easy to calculate
135
What are the weaknesses of range? ORDINAL
- can be distorted by a single extreme value - unrepresentative of data as a whole
136
What are the strengths of standard deviation? INTERVAL
- precise = included all values within the final calculation
137
What is normal distribution?
bell-shape. most people located in middle, few people at extreme ends. mean, median and mode all at highest peak.
138
* What is a positive skew?
a type of frequency in which long tail is on the right and most of distribution is on the left
139
* What is a negative skew?
a type of frequency in which long tail is on the left and most of distribution is on the right
140
What is peer review?
- Peer review is the process of subjecting a piece of research to independent scrutiny by other psychologists (peers) working in a similar field who consider the research in terms of its validity, significance and originality. - This happens before the research can be publicised in an academic journal. - The experts should be objective and unknown to the researcher to prevent bias.
141
Outline the process of peer review?
1. Other psychologists who are experts in the field of research or working in a similar field of research independently check the research report before deciding whether it could be published. 2. The report is scrutinised in terms of its validity, significance and originality. 3. They also assess the appropriateness of the methods and designs used by the researcher . 4. A reviewer can accept the report as it is, accept it proviso to revisions being made, suggest the author makes revisions and re-submits the report or reject the report without the possibility of revisions or re-submission. 5. The editor makes the final decision whether to accept or reject the research report based on the reviewers’ comments / recommendations.
142
Outline the purpose of peer review?
1. To ensure research that is published in an academic journal is of high quality and relevance e.g. methodology, data analysis and findings are all accurate and interpreted accurately. 2. To consider proposed research designs (before they have been carried out) in terms of the aims, planned procedures and the significance of the research in society prior to allocating funding. 3. To suggest amendments or improvements in order to improve the relevance or quality of the research or reject work that is inappropriate for publication.
143
What are the advantages to peer review?
- Peer review protects the quality of published research and preserves the reputation of psychology as a science. This encourages funding for future research proposals.
144
What are the weaknesses to peer review?
- Bias - Reviewers tend to be critical of research that contradicts their own view or goes against existing theory and more favourable of research that matches it. This could mean that peer review may have the effect of slowing down the rate of change within a particular scientific discipline. File-drawer problem - bias towards publishing studies with positive results, i.e., those supporting the hypothesis, but negative findings are just as important if we are to achieve a balanced view of research. Negative findings tend to be either rejected or are never submitted for publication.
145
What are the 6 sections of a scientific report?
abstract, introduction, method, results, discussion, referencing
146
What is the abstract?
- A summary of all the major elements - Identify if report if worthy of reading
147
What is the introduction?
Literature review / aims / hypothesis
148
What is the method?
Procedure – step by step / how ethical issues were addressed / research design and method / sample, sampling method, target population.
149
What is the results?
Descriptive stats / inferential stats / graphs / level of sig / thematic analysis.
150
What is the discussion?
Qualitative summary of results, reflection of results against background research, strengths, limitations, implications, future research.
151
What is referencing?
Details of source materials used
152
How to reference a journal article?
Researchers’ surnames, Initial.. (Year). Name of article. Journal name, Chapter, Page range.
153
How to reference a magazine article?
Researchers’ surnames., (Year, Month). Magazine article title. Magazine, Page range.
154
How to reference a book?
Author’s name. (Year of publication). Title of book. Location, Publisher.
155
What is nominal data?
Data is represented in the form of categories. Nominal data represents the frequency of people or items in each category. Nominal data is discrete in that one item (or participant value) can only be in one of the categories.
156
What is ordinal data?
Data is ordered in some way. Ordinal data does not have equal intervals between each unit. Psychology questionnaires collect data that is “treated as ordinal” data. The participant provides a self-report of their thoughts and feelings (which is subjective) and often they use a rating scale. The gap between 0-1 might not be equal to the gap between 1-2.
157
What is interval data?
Interval data is based on numerical scales that include units of equal, precisely defined size. These units have equal intervals between them. These are universal scales of measurement that produce data based on accepted units of measurement e.g. time (minutes / seconds), temperature (degrees Celsius) and weight (kilograms). Interval data is the most precise and sophisticated form of data in psychology and is necessary for using parametric tests (e.g. unrelated t-test, related t-test and Pearson’s r)
158
What is the mnemonic to remember the inferential tests?
carrots should come mashed with suede under roast potatoes
159
What does one tailed mean?
directional hypothesis
160
What does two tailed mean?
non-directional hypothesis
161
What is the statement of significance?
the calculated value of () is greater than/less than the critical value () when N=(), for a one/two-tailed test where p<(). Therefore the difference found is/is not significant. This means we accept/reject the null hypothesis
162
What is a type 1 error and why would it happen?
a false positive. incorrectly rejects a null hypothesis. likely to happen if the significance level selected is too lenient e.g. p< 0.01
163
What is a type 2 error and why would it happen?
a false negative. incorrectly accepts the null hypothesis. likely to happen if the significance level selected is too stringent e.g. p<0.001
164
What is step 1 of the sign test?
convert data to nominal. write + or - in last column.
165
What is step 2 of the sign test?
count up all the pluses and all the minuses. ignore any that are the same in condition A and B. lowest value is calculated S value
166
What is step 3 of the sign test?
find he critical value using the critical values table
167
What are all the ethical issues in psychology?
Consent Deception Confidentiality Debrief Withdraw (Right to) Protection from harm
168
What is informed consent?
making participants aware of the aims, procedures, their rights (right to withdraw,) what data will be used for
169
What is deception?
deliberately misleading or withholding information from participants
170
What is protection from harm?
should not be placed at any more risk than they would be in their daily lives
171
What is the BPS code of conduct?
set of ethical guidelines that researchers have a professional duty to observe these guidelines
172
How to deal with informed consent?
participants should be issued with a consent letter or form detailing all relevant information that might affect decision to participate
173
What is content analysis?
- a method of quantifying qualitative content via categories - a form of observation that examines forms of media people produce
174
What are the key words associated with content analysis?
categories, tally
175
How is data changed in content analysis?
qualitative to quantitative
176
What is thematic analysis?
form of content analysis but outcome is qualitative. involves identifying implicit or explicit recurrent, ideas within the data. themes will emerge once data has been coded.
177
What are the key words associated with content analysis?
coding, themes
178
How is data changed in content analysis?
remains qualitative
179
What are the strengths of content analysis?
- no ethical issues as information is widely available - high external validity - flexible in producing quantitative and qualitative data
180
What are the weaknesses of content analysis?
- lack of objectivity - researcher bias
181
What are the features of science?
objectivity, empirical method, replicability, falsifiability, theory construction, hypothesis testing, paradigm, paradigm shift
182
What is objectivity?
all sources of personal bias are minimised so as to not distort or influence the research process
183
What is empirical method?
scientific approaches that are based on the gathering of evidence through direct observation and experience
184
What is replicability?
the extent to which scientific procedures and findings can be repeated by other researchers
185
What is falsifiability?
the principle that a theory cannot be considered scientific unless it admits the possibility of being proved untrue
186
What is theory construction?
the process of developing an explanation for the cause of behaviour by systematically gathering evidence and then organising this into a coherent account
187
What is hypothesis testing?
a key feature of the theory is that it should produce statements which can then be tested
188
What is a paradigm?
a set of shared assumptions and agreed methods within a scientific discipline
189
What is a paradigm shift?
the result of a scientific revolution when there is a significant change in the dominant unifying theory within a scientific discipline