Psychodynamic Methodology

Beth Ritchie
Mind Map by , created over 5 years ago

Psychology Mind Map on Psychodynamic Methodology, created by Beth Ritchie on 04/06/2014.

Beth Ritchie
Created by Beth Ritchie over 5 years ago
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Psychodynamic Methodology
1 Case studies
2 Involve one unique individual (or small group or particular programme
3 Gather in-depth, detailed and rich data
4 Gather qualitative data
5 Triangulation used
5.1 Pooling data from various research methods
5.2 Looking for common themes/trends
6 Used methods such as free association dream analysis and slips of the tongue to uncover unconscious thoughts and desires
6.1 Free assocaiation - patient lets a stream of consciousness out, analyst listens to find connections with the aim of uncovering unconscious wishes
6.2 Dream/symbol analysis - describe dream and look for meaning - manifest content is description, latent content is the underlying thoughts
6.3 Slips of the tongue - wrong word is used, revealing unconscious desires
7 Used psychoanalysis to help patients (analysands) to uncover repressed memories
8 Strengths
8.1 Only way of studying particular phenomena
8.2 Produce valid data
8.3 Freud's can be used to help patients
9 Weaknesses
9.1 Not replicable due to unique situation
9.2 Low generalisability
9.3 Could be subjective
9.4 Concepts aren't measurable
10 Issues
10.1 Ethically, confidentiality may be difficult in a case study as one individual is studied, and they could be identified
10.2 The interpretation of the analysst can push a patient towards ideas that may not be their own due to power over the analysand
10.3 There is gender bias - boys are focused on most
10.4 Undue emphasis on sexual matters - particularly where there is transference - patients having feelings for the analyst
11 One way of testing Freud's theories is using correlation design and self report data
12 Freud didn't use them himself but they can be used to test his ideas
13 Self-report data is where a participant provides info about themselves, through a questionnaire for example
14 Ratiing scales can be used for this and provide ordinal data
15 3 levels of measurement
15.1 1st - Nominal
15.1.1 Categories are recorded such as 'yes/no'
15.2 2nd - Ordinal
15.2.1 Ranked data, such as rating scales
15.3 3rd - Interval/ratio
15.3.1 Real measurement such as time
16 They involve the same participant providing data for 2 measures
17 They have 2 variables both of which are measured
18 Its not a difference between the variables but a relationship between them that is looked for
19 A correlationis a relationship between 2 variables measured on a scale where both measures come from one individual
20 A positive correlation is where a rise in one variable causes a rise in the other variable
21 A negative correlation is where a rise in one variable causes a fall in the other variable
22 Spearmans rho
22.1 Inferential statistical test
22.2 Judge whether there is a correlation
22.3 Can be carried out if:
22.3.1 You're testing a relationship between 2 scores
22.3.2 The level of measurement is ordinal/ratio data
22.3.3 Correlation design used
22.4 Perfect + correlation - +1, perfect negative, -1, none, 0
23 Strengths
23.1 Little manipulation of variables, few controls needed
23.2 Show possibly unexpected relationships and can therefore be used to point to new areas for research
24 Weaknesses
24.1 No guarentee the relationship isnt due to chance
24.2 Tend to lack validity as at least one of the variables often has to be operationalised making it unnatural
25 Longitudinal studies are those that follow one set of participants over time
26 Strengths
26.1 Useful for looking at developmental trends
26.2 Same participants mean that participant variables wont lead to bias
27 Weaknesses
27.1 Difficult to keep all participants for each of the measures and people can drop out
27.2 This can lead to bias if it excludes certain people, such as those who are shy
27.3 Researchers themselves may change over time
28 Cross sectional studies are seen as the opposite to longitudinal
29 They are measures taken at one moment in time
30 A cross section of the population is chosen and those people's results on some measurement are compared
31 Strengths
31.1 Gather immediate results so are easy to carry out, as well as being cheaper
31.2 More ethical than longitudinal as measurements are only taken once instead of imposing on participants long term
32 Weaknesses
32.1 Different participants used so participant variables can take place
32.2 Many uncontrollable variables

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