Analytical Strategy | Assessment Portfolio
Added on 2019-12-28
23 Pages5551 Words180 ViewsType: 180
Disease and DisordersHealthcare and ResearchStatistics and Probability
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Assessment PortfolioLearning OutcomesOn successful completion of this unit students will be able to:1. Integrate knowledge and critical understanding of quantitative research and analysis.2. Design and apply a range of quantitative statistical techniques.3. Use statistical software to perform statistical analyses 4. Analyse, interpret and write-up quantitative data in psychology.The portfolio (submitted as one piece of work with one overall mark) will consist of:Consideration and identification of research design Justify analytical strategy. Appropriately present analysis. Consider limitations and alternatives to presented analyses.Instructions for completing the portfolio:Answer the questions for each section aiming to stick to the word count1 guide providedthroughout. Answer the questions using the boxes provided (the boxes can be extended ifneeded). Also, please be aware that given the nature of this assessment, the role of the tutor(s)will be to give general guidance and support. The tutor(s) WILL NOT be able to comment onanswers to particular questions.Before you complete the portfolio, please enter either your name and/or student number inthe space provided below:Name: _________________________________________________Student number: ________________________________________Section 1: Worth 55%1Please note: The word count provided for each section is a guide, and not a fixed upper limit.
Scenario 1 - The Stroop Task (worth 25%)Dr Soranzo replicated the famous experiment by John Ridley Stroop (MacLeod, 1992;Stroop, 1935). Participants (N = 425) were presented with a series of 50 words presented indifferent coloured ink (see Appendix 1 for a copy of the stimuli used). Each of the words wasthe name of a colour (e.g. blue, red etc.). Twenty-five colour names were presented in thecorrect coloured ink (e.g. Red,Blue) (the congruent condition), and 25 colour names werepresented in a different coloured ink (e.g. Red, Blue) (the incongruent condition).Participants were required to state the ink colour of each word as quickly and accurately aspossible, while ignoring the written word e.g. if presented with the word Blue the correctresponse would be ‘red’. All participants were sampled at random, took part in bothconditions, and the presentation of stimuli was randomised to avoid practice effects. Thenumber of correct and incorrect responses for both the congruent and incongruent conditionswere entered onto an SPSS datasheet. Your task is to correctly analyse the data from thisSPSS datasheet (provided on Moodle in addition to an Assessment Brief), and to write acomplete Method and Results section (approx.550 words – please note: tables are includedin the word count). Include SPSS output in an Appendix. The Method and Results sectionmust be written in accordance with APA report-writing format (see Quantitative ReportWriting Guide on Moodle) and include the following: Correct identification of the research design in the research scenarioAn explanation of how the data will be analysed and a justification of why this approach to analysis will be usedCorrect analysis of the data and presentation of the findings strictly adhering to APA guidelinesIn present research comparative research design is used. This is because main aim of theresearch is to identify the relationship between dependent and independent variable. In thepresent research an attempt is made to identify the relationship among the variables.Hence, it can be said that comparative research design is used in the present study. Thedependent variable is the individual cognitive power and independent variable is age. Byusing mentioned research design research is conducted in appropriate way. Data will be analysed by using regression technique. It is a statistical tool that reflect thechange that come in dependent variable with variation in independent variable. This toolwill be used in the present study because main focus is on finding out the relationship thatexists between the age and cognitive power of individual (Huber, 2011). Regressionanalysis is the one of the most important tool that is used to identify the extinct to whichchange come in the dependent variable with change in independent variable. What needs toanalysed in relation to the given case is not available in the question file. Hence, on thebasis of understanding of entire case attempt is made to identify whether people makeaccurate judgement when they already know about specific situation or vice versa in termsof age. Thus, main aim is to identify that in case of congruent in terms of age significantdifference come in accurate and inaccurate decision. Similarly, second objective in currentquestion is to find out whether there is significant difference in terms of age among peoplejudgement when contingent situation (incongruent) comes in existence. By usingregression technique the difference in the mean value of all four variables relative to meanof age can be easily measured. This will help in understanding and identifying whether agefactor play an important role in the judgement when any situation comes in existence withwhich one is already familiar (Events that frequently happen and one knows about same orRed,Blue) and not familiar (Event that was unexpected and unprecedented Red, Blue).
Hence, by using regression method in appropriate way answer of problem statement isidentified.Age- CorrectcongIn present case value of level of significance is 0.00<0.05 which means there is significantdifference between dependent and independent variable which are correctcong and age(Roger and et.al.,, 2011). This means that mean value of correct answers is changing atrapid pace when there is congruent condition relative to mean value of age. It can be saidthat with increase in age intensity of taking right decisions or judgement also elevate.Age- CorrectnoncongValue of level of significance is 0.146<0.05 which means that there is not a big differencebetween mean value of age and incorrect answer given by the respondents in congruentcondition (Jemal and et.al., 2010). Hence, across all age groups people are giving incorrectanswers.Age- IncorrectcongValue of level of significance is 0.00<0.05 and this reflect that there is enough gap in meanvalue of Incorrectcong and age (Siegel, Naishadham and Jemal, 2012). It can be said thatwith increase in age people take right decision or make perfect judgement even anycontingent event occur in front of them.Age- IncorrectnoncongIn present case value of level of significance 0.146>0.05 which indicate that no significantdifference come when people make incorrect decisions in unusual conditions in terms ofage (Siegel, Miller and Jemal, 2015). It is clear from above discussion that wrong decisionsin both congruent and non-congruent decisions are taken across all age. However, withelevation in age intensity of making correct decisions increase in both contingent and non-contingent situation.
Scenario 2 – Public speaking study (worth 30%)To help improve confidence in performance situations among university students, Prof. Johnson and colleagues replicated a study by Hofmann, Heering, Sawyer, and Asnaani (2009). A sample of 300 introductory psychology students were allocated to receive either acceptance training, suppression training, or reappraisal training to help lower anxiety levels in response to a performance situation known to induce anxiety (public speaking). Participants were allocated to their respective groups based on their seminar classes. Specifically, seminar class 1 was allocated acceptance training, seminar class 2 was allocated suppression training, and seminar class 3 was allocated reappraisal training. Students received the training before delivering the speech, and the training consisted of providing written instructions on what they will be required to do and how to think of approaching the situation. The instructions closely resembled those of Hofmann et al. (2009) (see Appendix 2 for group instructions). The performance situation consisted of students delivering a 10-minute speech to an audience of 75 members of the public. The topics participants were asked to talk about included the transition to university, problems with student drinking, or how to be a successful student. Participants were told they could talk about only one or all 3 of the topics in the 10-minute period. Prof. Johnson and colleagues measured subjective anxiety levels of students 5 minutes after each participant had delivered the speech using the state measure from the State-Trait-Anxiety-Inventory (STAI, Spielberger, Gorsuch, & Lushene, 1970). Your task is to correctly analyse the data from this SPSS datasheet (providedon Moodle in addition to an Assessment Brief), and to write a complete Method and Resultssection(approx.550 words – please note: tables are included in the word count). Include SPSS output in an Appendix. The Method and Results section must be written in accordance with APA report-writing format (see Quantitative Report Writing Guide on Moodle) and include the following: Correct identification of the research design in the research scenarioAn explanation of how the data will be analysed and a justification of why this approach to analysis will be usedCorrect analysis of the data and presentation of the findings strictly adhering to APA guidelinesIn present case, comparative research design is used and this is proved from the fact thatresearch study that was earlier conducted by Hofmann, Heering, Sawyer, and Asnaani isreplicated by Prof. Johnson and his colleagues in which they explore the relationshipbetween multiple variables when it was not possible to control independent variable.Data will be analysed by using regression method under which relationship betweendependent and independent variable will be identified. Like above case regression is usedbecause it help one in knowing cause and effect relationship among the variables (Siegel,R., Naishadham and Jemal, 2013). By using regression technique percentage change thatcomes in the dependent variable due to variation in the independent variables is identifiedin proper manner. In present case measurement of anxiety is done and final value ofanxiety across varied age groups are taken in to consideration. An attempt is made tomeasure anxiety level across different age groups. Hence, independent variable was ageand dependent variable was anxiety score. In order to do analysis in better way regressionmethod is used because by using same close relationship that exist between both variablescan be identified easily in different ways.Value of level of significance is 0.021<0.05 which reflect that there is a significant
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