Every now and then I decide to research a certain topic that interests me. This can range from the views of philosophers in the far past or something that catches my attention in the media. If you do like reading about random historical, Psychological, or current topics, this just might be the place for you.
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Wednesday, 3 August 2016
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Different psychological approaches and their treatments of Obsessive-Compulsive Disorder
At university you are asked to write a lot of Essays. In year one, I was asked to discuss Treatment options for Obsessive-Compulsive Disorder. This is the Essay I came up with and it was graded B. I hope this helps anyone trying to learn about OCD and what is available to help with this.
Discuss different psychological approaches and their treatments of Obsessive-Compulsive Disorder
When looking treatments for
Obsessive compulsive disorder (OCD) we can approach the treatment from
different psychological fields. Firstly we need to understand what obsessive-compulsive
disorder is.
OCD is classified as an
anxiety disorder and defined as the presence of obsessions, compulsions, or
both. Obsessions are defined as
persistent thoughts that are intruding. Compulsions are repetitive or
ritualistic behaviours, such as washing hands, counting or ordering. These are
carried out to relieve anxiety caused by the obsessive thought (American
Psychiatric Association., 2013).
Throughout this discussion,
this essay will explore the Behaviourist approach to OCD by discussing
behaviourist treatments and utilising information of studies carried out by Foa
et al (McLeod, 1997). Focus will also be given to the Cognitive theory and
their treatment, Cognitive Behavioural Therapy (CBT). This will be done using
the case study of Karen Rusa (Oltmanns, Neale and Davison, 1995).
To conclude, there will be an evaluation showing why CBT is the most effective
method for treatment for OCD.
Skinner (1948) argues that
obsessive fears cause anxiety which are reduced using compulsive behaviours.
These behaviours are maintained through this negative reinforcement (McLeod,
1997). As Behaviourists do not see these behaviours as symptoms of another
issue, only behaviours are treated because they are seen as the key issues. (Gleitman,
Gross, and Reisberg, 2011., Schacter, Gilbert, Wegner, and Hood, 2011).
There are several studies
which support the Classical conditioning method of Exposure and Response
Prevention (ERP). Using ERP, Behaviourists aim to break the connection between
the obsessive fear and the anxiety it causes through exposure. They also concentrate on breaking the habit
of the performance of compulsive rituals after the exposure through response
prevention. (Foa et al 1985., McLeod 1997). This entails the client being exposed,
to what they fear, for instance, a ‘contaminated’ vase, then being delayed or
prevented from washing their hands. This
treatment shows effectiveness amongst
patients who suffer from contamination, counting or checking rituals but cannot
be generalised to other forms of OCD (Ball et al 1996., McLeod 1997).
Ost (1989) reviewed seven
cases in which 85% of patients retained improvements after ERP treatment. Nine
further studies by O’Sullivan and Marks (1991) showed improvements maintained
from between one and six years. Follow
up findings continue to report improvement at 79% which strongly supports this
treatment. (McLeod, 1997). Keister et al
(1994) however, stated that most often the documentation did not account for
patients who discontinued treatment, when these were considered the success
rate dropped to between 40%-50% (McLeod, 1997).
The Cognitive approach to
this condition not only focuses on behaviours but on the thought process behind
these. Becks argues that when in a state of depression/anxiety the patient has
an unrealistic way of thinking. They
think themselves as useless, their experiences as terrible and their future as
being worse. Becks Calls this the
‘Negative Triad’ (Sammons, 2011) also known as dysfunctional beliefs. These
beliefs inflate the patients perceptions of responsibility and they believe
that they can stop negative outcomes (Olatunji, Rosenfield, Tart, Cottraux,
Powers and Smits, 2013). This theory
also states that the individual controls their own thoughts and that
abnormality occurs when that control is faulty in some way (Williamson,
Cardwell and Flanagan, 2007). This
faulty control is dealt with by working on these dysfunctional beliefs.
In the Case of Karen Ruso,
she had put many rituals in place. Shopping
became difficult because of numbering rituals. Smoking was also transformed
into a number ritual as she had to smoke one cigarette for each child, one
after the other, to prevent harm coming to them. Karen had a strong religious emphasis within
her life. It was noted that Karen no
longer attended church as they had updated things and this horrified her, as
she thought these modern changes were disrespectful. Her four children
constantly misbehaved. Her husband was out of work due to illness, and was
quite demanding of her; ie: asking her to get beers from the refrigerator as he
was not supposed to walk far. Karen admitted that things had not been going
well and that her situation was stressful (Oltmanns et al., 1995). She felt unhappy with her life but did not
make the connection between her beliefs, rituals and current situation. The
demands from her husband and children had caused a lack of assertiveness. The
loss of her church routine impacted on Karen's confidence. It was apparent that
the rituals were Karens way of maintaining some form of ‘faulty ‘control over
her situation (Oltmanns et al., 1995). Treatment began by developing
assertiveness to deal with the family. Karen kept a diary to log all situations
where she needed to be assertive. She was challenged to write down
(dysfunctional) thoughts of what would happen if she was assertive and further
challenged to test these thoughts. She
was asked to visit traditional churches, she joined one and gained more
confidence. (Oltmanns et al., 1995). When Karen felt confident, she began the next
stage of therapy, ERP. She was exposed to an obsession (cigarette) but the
compulsive ritual was delayed. (Oltmanns et al., 1995). This removed the ‘faulty control’ by only
allowing her one cigarette. By the end
of Karen’s treatment her family life had improved and the rituals were minimal
with little anxiety.
CBT is widely accepted as
the most effective treatments for OCD (Taylor, Thordarson, Spring, Yeh,
Corcoran, Eugster and Tisshaw, 2003). Dysfunctional thinking may cause the
patient to perceive the treatment as confirmation that they are incapable of
improvement. It is apparent however, from Karens case, that by dealing with
this dysfunctional thought process as the priority, you can then deal with the faulty
control of the rituals with more optimism from the patient. This can be done during the behavioural
aspect of the treatment with less likelihood that patients will discontinue the
treatment before completion.
The behaviourist treatment
alone, is harsh and abrupt. Behaviour is
the key focus and puts the patient under immediate pressure as they are exposed
to their fears. There is no mental
preparation for the patient and the focus is solely on the behaviours. As evidenced by the CBT Karen received, the
behaviours treated during ERP are highly unlikely to have been the cause of her
OCD. Alone, ERP can make the patient feel out of control causing patients to
discontinue treatment prematurely and success rates to drop as evidenced by
Keister. Although Behaviourism does acknowledge fear is the obsession, they see
this as a learned behaviour rather than a thought process. This leaves a gap in the theory causing a
lack of insight into the root cause of the patients form of OCD.
In conclusion CBT provides
the insight needed to get to the root cause of the issue. This treatment can support the patient on
different levels because it focuses on giving ‘true’ control back to the
patient through correction of dysfunctional beliefs, followed by Behavioural
therapy to correct faulty control methods such as rituals. The treatment of dysfunctional beliefs also
helps to prepare the patient as treatment moves forward. This makes the transition into ERP smoother
as the patients beliefs are more logical and overall anxiety is lessened, as
evidenced clearly in Karens treatment.
References
American Psychiatric Association.
(2013). Diagnostic and
Statistical Manual of Mental Disorders American Psychiatric Association. Arlington:
American Psychiatric Publishing.
Gleitman, H., Gross, J. and Reisberg,
D. (2011).Psychology. New York: W. W. Norton & Co..
McLeod, D. (1997). Psychosocial
treatment of obsessive-compulsive disorder. International
Review of Psychiatry, 9 (1), pp. 119--132.
Oltmanns, T., Neale, J. and Davison, G. (1995). Case
studies in abnormal psychology. New York [etc.]: Wiley.
Olatunji, B., Rosenfield, D., Tart,
C., Cottraux, J., Powers, M. and Smits, J. (2013). Behavioral versus cognitive
treatment of obsessive-compulsive disorder: An examination of outcome and
mediators of change.. Journal
of consulting and clinical psychology, 81 (3), p. 415.
Sammons, A. (2011). Beck’s Cognitive Theory of Depression. [online] Retrieved from:
http://www.psychlotron.org.uk/resources/abnormal/a2_aqa_abnormal_moodcognitivebeck.pdf
[Accessed: 11 Nov 2013].
Schacter, D., Gilbert, D., Wegner, D.
and Hood, B. (2011). Psychology.
Basingstoke: Palgrave Macmillan.
Taylor, S., Thordarson, D., Spring,
T., Yeh, A., Corcoran, K., Eugster, K. and Tisshaw, C. (2003).
Telephone-administered cognitive behavior therapy for obsessive-compulsive
disorder. Cognitive Behaviour
Therapy, 32 (1), pp. 13--25.
Williamson, M., Cardwell, M. and
Flanagan, C. (2007). Higher
psychology. Cheltenham: Nelson Thornes.
Sunday, 3 April 2016
Can Teachers expectations influence the school performance of their pupils?
It
is widely accepted that social beliefs and judgements influence how people feel
and how they behave (Myers, Abell, Kolstad & Sani, 2010). It is through the study of social belief and
judgements that the question of teachers expectations, influencing pupil
performance has been researched since the 1940's. There are two main focus areas to this
question; why a teacher has these expectations
and who these expectations may or may not, effect. In this essay, these two
areas will be discussed, and evidence will be provided for this argument. A
summary will then conclude this discussion.
The
reasoning behind expectations is not always logical. Consequently, expectations
can be incorrect. Attractiveness of a
child is evidenced as a factor in this field. Results from a study regarding attractiveness
found that attractive children were afforded significantly favourable treatment
than children classed as unattractive (Langlois, Kalakanis, Rubenstein, Larson,
Hallam, & Smoot, 2000). Mathematics
ability was used in a study by Robinson-Cimpian, Lubienski, Ganley and Copur-Gencturk, (2014) to evaluate what
factors influence teacher expectations.
The focus of this study was gender. Data was taken from the Early
childhood longitudinal study ECLS and perceptions of boys and girls
mathematical aptitude were evaluated. It
was found that Boys are afforded a higher expectation in mathematics than girls. Furthermore, Madon, Jussim, & Eccles,
(1997) discuss the conceptual model with the following as reasons for
expectations, previous grades, previous test scores, motivation, self-esteem,
attractiveness, demographics, personality and home life.
Langlois,
Ritter, Roggman and Vaughn (1991) argue that expectations of teachers do
influence pupils performance because of teacher interactions and facial
expressions. Myers et al., (2010) state that when a teacher has higher
expectations of a pupil they look, smile, nod and interact with that pupil
more. In contrast to this, a videotaped experiment recorded various teachers
discussing something. Ten seconds of the
discussion was played back to viewers, with or without audio. Consequently, viewers
showed an expectancy detection effect as they recognised, by the teachers facial
expression, whether it was a good or poor student being discussed (Babad,
Bernieri, & Rosenthal, 1991). In a
study completed by (Montague & Walker-Andrews, 2001), it was evidenced that
infants understand the emotion expressed in the face. Furthermore, they often
match their emotions to other people's emotions based on the facial
expressions. It is, therefore, supported
that children of pre-school upwards can in-fact calculate what expectations the
teacher has for them and other pupils.
The
self-fulfilling prophecy (SFP),
(Rosenthal & Jacobson, 1968) also support that expectations do
influence performance. The Pygmalion in the classroom study is a good example
of SFP and has stood the test of time.
Rosenthal (1968) stated that "the self-fulfilling prophecy was in
evidence primarily at [younger years] the lower grade levels. This prophecy has
since been re-examined in several contexts now giving it much more depth. Madon
& Jussim (1997) studied naturally occurring SFP to examine whether positive
or negative expectations produced more powerful SFP. Their research model assumed that the teacher
expectations would influence performance. With this in mind, they investigated,
using different contexts as follows; do high or low expectations produce more
powerful SFP; do expectations that match targets self-conception...provide a
more powerful SFP; are targets of low self-concept more susceptible to SFP; Are
low achievers more susceptible to SFP?
The key question they were asking overall, was which expectation, and in
which situation made the biggest influence on performance. Their study found
that low achievers were much more vulnerable to SFP. Although this cannot be generalised, the SFP
is supported within the low achievers group.
Bohlmann
& Weinstein (2013) created a more advanced study, putting the classroom
into the context. Other contexts were evaluated however the key focus was on
highly differentiated classrooms and low differentiated classrooms. They took teacher ratings of students and
self-reported student ratings. It was
found that in 'highly differentiated' classrooms the low achiever, student
rating matched the teacher expectation, however in 'low differentiated' classes
it was not significant. It was also
found that in 'highly differentiated' classrooms Teacher expectation did match
the pupils actual performance in mathematics although, again, it did not occur
as often in 'low differentiated' classroom environments. In support of the SFP, Again, the low
achievers are highly influenced by teacher expectations, suffice to add that
this is only in high differentiated environments.
Moreover,
a longitudinal study also supports that low achievers are influenced. Using Reading, writing and verbal
communication abilities as a tool to evaluate the influence of expectations, data
was taken from ten sites within the National Institute of Child Care and Human
Development (NICHD). The meta-analysis
demonstrated that academic achievement in high school is influenced by
teachers, high or low, misinterpretations (expectations) in first grade. These
teachers expectations of abilities were found to influence students.
Consequently, vulnerable pupils, including
pupils from low-status backgrounds, low achievers and minority students, for up
to ten years (Sorhagen, 2013). Sorhagen did, however, state that parents
expectations may also play a part in performance.
To
conclude, when looking at reasoning behind teacher expectations, these study's
imply that factors out with the student's control recurrently influence these
misjudgements. Therefore, leading to these expectations. Reasoning behind
teacher expectations needs to be included and evaluated when investigating this
area as they do support sorhagens' statement regarding teacher expectations
being misinterpretations. Furthermore student performance results, must take
into account outside factors such as environment, self-esteem, ability,
academic level, age, and parent expectations (Langlois et al., 2000; Robinson-Cimpian et al., 2014; Madon &
Jussim, 1997). Only then can it be clarified if the sole responsibility for
performance is influenced by teacher expectation.
In
saying this, It is however abundantly clear that Teachers expectations do have
an influence on student performance. This does, however, seem highly focused
around more vulnerable pupils such as minority groups, low-income pupils and
younger children. It is also extremely visible when looking at the results from
these studies; that low achievers are impacted greatly in many of these
studies.
References
Babad,
E., Bernieri, F., & Rosenthal, R. (1991). Students as Judges of Teachers'
Verbal and Nonverbal Behavior. American
Educational Research Journal, 28(1), 211-234.
Bohlmann,
N., & Weinstein, R. (2013). Classroom context, teacher expectations, and
cognitive level: Predicting children's math ability judgments. Journal Of Applied Developmental Psychology,
34(6), 288-298.
Langlois,
J., Ritter, J., Roggman, L., & Vaughn, L. (1991). Facial diversity and
infant preferences for attractive faces. Developmental
Psychology, 27(1), 79-84.
Langlois,
J., Kalakanis, L., Rubenstein, A., Larson, A., Hallam, M., & Smoot, M.
(2000). Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin, 126(3), 390-423.
Madon,
S., Jussim, L., & Eccles, J. (1997). In search of the powerful
self-fulfilling prophecy. Journal Of
Personality And Social Psychology, 72(4), 791-809.
Myers,
D., Abell, J., Kolstad, A., & Sani, F. (2010). Attitudes and behaviour.
Jacobs, N. Rotherham, J. (1st Ed) Social psychology
(pp. 146-155). Maidenhead: McGraw-Hill.
Robinson-Cimpian,
J., Lubienski, S., Ganley, C., & Copur-Gencturk, Y. (2014). Teachers'
perceptions of students' mathematics proficiency may exacerbate early gender
gaps in achievement. Developmental Psychology,
50(4), 1262-1281.
Rosenthal,
R., & Jacobson, L. (1968). Pygmalion in the classroom. The Urban Review, 3(1), 16-20.
Sorhagen,
N. (2013). Early teacher expectations disproportionately affect poor children's
high school performance. Journal Of Educational
Psychology, 105(2), 465-477.
Montague,
D., & Walker-Andrews, A. (2001). Peekaboo: A new look at infants'
perception of emotion expressions. Developmental
Psychology, 37(6), 826-838.
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