Research Methods Flashcards

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1
Q

Strengths of open questions

A

• Give detailed and in-depth data as respondent is not constrained to a selection of answers therefore can be considered more valid.

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2
Q

Weaknesses of open questions

A

• Difficult to analyse because tend to interpret by the respondent therefore difficult to compare data with those other respondents. Answer must also be analysed by researcher therefore could be classed as subjective as they need to be interpreted.

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3
Q

Quantitative data

A

Normally in the form of numbers. Statistical tests can be used to determine significance.

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4
Q

Qualitative data

A

Normally in the form of words.

Can be analysed by generating themes and categories.

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5
Q

Case studies

A

Allow data to be gathered in both depth and detail.
It is a study of an individual or small group, the individual or group becomes the focus of the case city where different methods will be used to collect in-depth data.

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6
Q

Independent variable

A

Variable that is manipulated by the researcher to investigate whether it consequently brings change in another variable.

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7
Q

Dependent variable

A

Is measured and predicted to be dependent upon the IV.

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8
Q

Control group

A

A group of participants that do not experience the experimental situation but acts as a baseline which to judge any change. This allows comparison of results.

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9
Q

Over observation

A

a form of observation where those being observed are aware of the presence of an observer.

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10
Q

Covert observation

A

A form of observation were the participants do not know they are being observed.
In an unstructured observation, the researcher will record all relevant behaviour but has no system.

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11
Q

Strengths of a naturalistic observation

A
  • The observations are carried out in the child’s natural environment which means that real life behaviour will be displayed . For example, in Robertson & Robertson the children were observed in the hospital setting or at home with them giving high ecological validity.
    • If time sampling is used carefully with tallying, prepared categories and more than one observer then inter -rater reliability can be checked.
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12
Q

Weaknesses of naturalistic observation

A
  • Lack of control of extraneous variables which means other variables can influence the behaviour of the infant. E.g., in Robertson & Robertson the temperament of the infant could have been a factor –lowers validity
    • Children may be influenced by being observed so this also lowers validity.
    • Researchers are not always able to replicate naturalistic observations due to a lack of control in the environment so reliability of findings cannot always be tested.
    • Ethical issues may occur if consent has not been given by the child’s parents for the child to be part of the observation.
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13
Q

Cross sectional research

A

undertaking research.
This is designed to gather information on a population at a single point in time. A cross-section of the population is targeted and their measures are compared.

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14
Q

Strengths of cross sectional studies

A
  • Cross-sectional studies obtain immediate results and are more cost-effective as you only need to use the researcher once.
    • There is also fewer demands on participants, therefore may be viewed as more ethical.
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15
Q

Weaknesses of cross-sectional studies

A

However as different participants are used, participant variables may affect the results obtained.

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16
Q

Longitudinal research

A

Allow you to gather data from your participants over the course of time and determine whether any changes occur.

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17
Q

Strengths of longitudinal research

A
  • Avoid the cohort effect; the differences within social and cultural groups that change over time.
    • Removes participant variables as the same participants are used throughout the duration of the study. This prevents individual differences from affecting the results.
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18
Q

Weaknesses of longitudinal studies

A
  • More expensive and time-consuming. Therefore are difficult to replicate resulting in low reliability.
    -Replication of longitudinal study would be expensive and you cannot guarantee the same conditions are used.
    Participants may be lost due to various reasons (attrition), this can alter the direction or aim of the study. As well as temporarily stop the study while another participant is found.
19
Q

Standard deviation

A
  • Takes into account every score set
    • A low standard deviation suggests a little spread of scores
    • A high standard deviation suggests more wide spread of scores
    • Calculated on the basis of each individual score from the mean
    • Mores sensitive than the range
20
Q

Spearman’s rank correlation

A

Ordinal data

Co-variables

21
Q

Chi-squared

A

Independent groups

Nominal data

22
Q

Semi-structured interviews

A

Have a set list questions but ask questions to follow common themes displayed by patient.
Lack reliability as each interview is unique to the individual.

23
Q

Structured interviews

A

Have a set list of questions to ask.

Can be compared across other interviews as question list is the same therefore has reliability.

24
Q

Directional (one tailed) hypothesis

A

Predicts the nature of the effect of the independent variable on the dependent variable.

25
Q

Non-directional (two tailed) hypothesis

A

Predicts that the independent variable will have an effect on the dependent variable, but the direction of the effect is not specified.

26
Q

Reliability

A

A test has this if, when repeated, it gives similar results. In other words, findings prove to be replicated

27
Q

Validity

A

A test is high in this if it tests what it is supposed to test. This is low, however, if we have reasons to question the truth of the findings.

28
Q

Lab experiment

A

This is where the researcher carries out an experiment under controlled or laboratory conditions

29
Q

Control group

A

This is a condition or group in the experiment that provides comparison scores so that when compared with the experimental conditions, the effect of the IV can be seen.
The only difference between this and the experimental conditions is that this condition does not get the IV

30
Q

Extraneous variables

A

These are all variables other than IV that could have an impact on the DV. They have to be kept constant or controlled in order to isolate the IV as a causal variable

31
Q

Confounding variables

A

An extraneous variable that varies systematically with the IV so we cannot be sure of the true source of the change to the DV.

32
Q

Repeated measures design

A

The is an experimental design where every participant is tested in every condition. They act as their own control group.

33
Q

Pilot study

A

In order to test the questions for clarity to check whether the students understand them.

• To check whether the sampling method/technique gathers a representative sample of the college students.

34
Q

Concurrent validity

A

Establishing validity that compares evidence from several studies testing the same thing to see if they agree.

35
Q

Predictive validity

A

The extent to which performance on a test is related to later performance that the test was designed to predict.

36
Q

Type I error

A

Type I error is the rejection of a true null hypothesis

37
Q

Type II error

A

Type II error is the failure of rejecting a false null hypothesis

38
Q

Wilcoxon test

A
  • Test of difference
  • Repeated measures design or matched pairs design
  • The data is at least ordinal level
39
Q

Mann-Whitney U test

A
  • Independent groups

- Ordinal level data

40
Q

Define objectivity

A

Objectivity is being neutral and unbiased when collecting and interpreting research data in psychology

41
Q

Secondary data

A
  • Data that has already been collected and the info is stored for researchers to use and re-analyse for a new purpose.
  • Results from psychological studies are classed as secondary data. The researcher will conduct an in-depth review of the secondary data before collecting their own data.
  • In clinical psychology, secondary data may include medical records or school reports.
  • Secondary data is collected indirectly from existing records about people who fit the criteria for the target population/
42
Q

Evaluation of qualitative and quantitative data.

A
  • There is a high validity in the qualitative data as participants are free to respond how they wish.
  • Thematic analysis could be used with the data and can be rated/categorised by multiple researchers to reduce subjectivity.
  • Analysis of quantitative data is less likely to be open to interpretation by the researcher.
  • Quantitative data from laboratory experiments gives higher reliability so the data accurately shows cause and effect relationships between IV and DV.
43
Q

Strengths and weaknesses of thematic analysis

A
  • Enables qualitative data to be analysed and compared with other research findings into the same topics.
  • considered to be less scientific because themes are subjective in nature and so validity is lowered due to researcher bias.