Explore key psychology research methods with this detailed assignment sample. Download now for practical insights and cheap assignment help on designing, conducting, and analyzing quantitative and qualitative studies effectively in psychology.
This assignment sample on exploring research in psychology provides a comprehensive overview of quantitative and qualitative research methodologies. It focuses on assessing employee interaction and satisfaction through a quantitative survey of 30 participants, complemented by qualitative interviews exploring employees’ retirement experiences. The study highlights the importance of ethical considerations and data analysis techniques such as thematic analysis for qualitative data and statistical methods for quantitative data. Students seeking cheap assignment help will find this sample valuable for understanding how to design, execute, and analyze psychological research effectively. This resource offers clear insights into research design, ethics, and interpretation, perfectly suited for psychology academic needs.
The rationale behind conducting evaluation is to ascertain the relationship between people interaction and employees satisfaction. In other words, focus will be placed on assessing the impact of employee’s interaction with each other impact their level of satisfaction at workplace. For determining the impact, quantitative study will be conducted by the researcher. In this context, 30 employees will be selected on whom survey will be initiated for gaining all the required information. Quantitative data refers to gathering information which could be expressed in the form of statistics and numbers (Allan, 2020). In the current study, quantitative method has been selected as it supports in providing the more reliable information which helps in initiating the study effectively. Moreover, qualitative research ignores the subjective judgment and based on actual facts and figures which help in forming adequate conclusion (Benefit of quantitative data, 2024). Moreover, all the collected information could be easily verified which helps in providing the more reliable and accurate information.
This method supports in mitigating the scope of biasness which helps in conducting study in an ethical and fair manner. Quantitative data could be double checked which helps in reducing the scope of biasness and error (Busetto, Wick and Gumbinger, 2020). In the context of present study, impact of communication strategy could be better understood by using the numbers and statistics which help in forming an adequate conclusion. Further, this method support researcher to identify trends in the data based on which impact could be easily identified. In the quantitative study, researcher is able to replicate outcome in a graphical form which help in determining interrelationship between both the factors. Quantitative research also supports in gaining broad overview of the issue and helps in determining the cause & effect relationship among the variables. This in turn contributes in drawing the valid conclusion. However, quantitative data does not provide information related to the belief, values and perception of respondent which creates issue in understanding complex phenomena. Further, in this research can select participants and manipulate data referring biasness or own views.
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Further, the study will be conducted on 30 employees as it not possible to initiate study on the large number of respondent. By selecting participant through random sampling method, researcher will able to select representative sample which aids in gaining in-depth information. However, this method is expensive for the large sampling frame which in turn limits its significance. Along with this, study will be conducted on employees as information regarding job satisfaction could only be understood by communicating with them (Byrd, 2020). Moreover, employees will be able to provide better information regarding the impact of communication strategy as they are directly influenced by the strategies. For identifying the impact of communication strategy, within the subject design will be used by the researcher. Under this method, each respondent will face numerous situation and question based on which outcome will be identified. With the help of within subject study, researcher will able to identify the viewpoint of different employees on the particular question which helps in forming the better conclusion.
Further, researcher have selected only 30 respondent and initiating study by taking into account within subject study design will help in gaining wider information from the limited samples. Within subject design support in avoiding the scope of error and biasness as researcher focuses over determining perception of the entire individual which helps in exploring the wider viewpoints. On the other hand, internal validity threat creates issue in effectively establishing relationship among variables. However, between study designs restrict each employees in sharing their perceptive which creates issue in exploring the wider impact of communication strategy (Denny and Weckesser, 2022). In the current study, communication strategy is classified as an independent variable as it will not change due to the changes in job satisfaction. On the other hand, job satisfaction has been classified as dependent variable as change in strategy will directly influence the overall satisfaction and motivation level of employees.
H0 (Null hypothesis): Freedom of Interpersonal communication with colleagues has no effect on the job satisfaction of employees.
H1 (Alternative hypothesis): Freedom of interpersonal communication with colleagues has huge impact on job satisfaction of employees.
The current task is based on exploring the experience of employees retiring from work and their perception regarding measures by which workplace could support in their life transition. Below are the various research questions which will be answered for gaining in-dept information regarding the research issue:
Research question:
What are the various organizational measures which support in improving the worker’s satisfaction after retirement?
For initiating the study, qualitative research will be conducted which helps in exploring and identifying deeper understanding related to real world problem and issues. In the context of current study, knowledge, attributes, preferences, feeling and opinion of employees could not be effectively expressed in a numerical manner which result into the selection of qualitative study (Fischer, Boone and Neumann, 2023). This method is not linear as it includes an open ended research question which helps in understanding the wider perspective related to the research issue. In the present study, qualitative data will help in providing spontaneity and flexibility which allow researcher to adapt the new method according to study needs. Qualitative research is initiated with the aim of answering question related to “why” and “how” which helps in gaining the wider information regrading the research issue and problem. However, employee’s perception and experience are generally ignored in the quantitative study which may lead inaccurate conclusion. Therefore, by taking into account qualitative method, researcher would become able to gain real world context of the study which support in collecting the original information.
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For collecting all the relevant information regarding the research issue, interview will be conducted by the research. On the basis of this, questions related to the research problem are asked from the interviewee with the aim of elicit meaningful information. Under this, researcher will conduct interview on 10 employees of the organization which will support in effectively understanding their challenges and perspective. This method has been selected as it support in exploring and understanding behaviour, opinion and experience of respondent and aids in gathering first hand information. Further, this method includes open ended questions that assist in gathering more in-depth information related to issue (Hodge, 2020). Along with this, current study is based on employee perspective which could be understood by conducting personal interview with the respondents. With the help of interview, researcher would be able to enhance engagement and rapport with the respondent which helps in collecting effective information. Interview also helps in developing better understanding about the non-verbal clues and body languages which aids in forming the effective conclusion. This method also provides flexibility in exploring the unexpected insight while communicating with employees which supports in understanding the needs of retired workers in a better way.
After effectively gathering all the information regarding the employees’ perspective, it is very critical to analyse information for gaining an adequate outcome. In the context of identifying retiring employee’s experiences, thematic analysis method will be used by the researcher. This method includes six wide steps that are familiarization with information, coding, developing themes, reviewing & defining themes as well as naming and writing up the outcome (Kandi and Vadakedath, 2022). Thematic analysis is the method of evaluating qualitative data by identifying the patterns and themes from the textual data. It is the most effective method as it is based on inductive approach which support in gaining rich and detailed information related to issue. Further, thematic data analysing will help in exploring the new and wider perception of employees as it promotes flexibility which allows researcher to not confine to predetermined information. This method is not based on rigid application of the theoretical framework which helps in better understanding experience and behaviour of employees in the present study. Along with this, qualitative study will be conducted for resolving research issue which could be effectively evaluated by thematic approach. Textual information has been collected through interview method which require researcher to identify the pattern which could only be achieved through thematic approach.
Ethical consideration refers to the act of analysing morale implication of any policy, action and decision. This process includes determining, analysing, evaluating and interpreting ethical issue of the research. Ethical consideration also refers to set of principles and regulation which guides researcher regarding the activities that should be initiated for managing the trust and confidence of respondent (Kotronoulas et al, 2023). On the basis of the case study, it has been identified that Astrid is not effectively aligned with all the ethical consideration which ultimately result into diminished quality of the overall research. Three crucial ethical considerations in the scenarios are inaccurate and uncompleted information sheet, lack of transparency and providing consent form. Below is the in-depth description of all the three identified ethical considerations:
Informed consent: Astrid is involved toward taking online consent from participants before filling questionnaires which indicate that no external force or coercion has been applied upon the respondents. It is pivotal aspect of the research as it depicts that respondent have provided choices to decide whether they need to participant in the study or not (Kraska, 2022). It is the good practice as it helps in providing opportunity for rational decision by providing the clear and detailed information related to the study (Ethical code of conduct, 2024). Taking consent from respondents also protect the researcher form any faulty claims as this form act as the evidence which depict that respondent have provided the information willingly.
Inaccurate informative sheet: Another crucial ethical issue faced in the study is related to inaccurate and incomplete information sheet provided to the researcher. Astrid is fulfilling ethical requirement by providing information sheet which helps in managing the overall openness in the study. Informative sheet is clearly describing the major reason and purpose of the study which helps in managing the overall trust of the responded (Nassaji, 2020). However, the information sheet provided by Astrid is incomplete and not accurate which in turn creates issue for the respondents. Due to inadequate information, Sven was unable to contact with the researcher and clarify their doubts. This creates barrier in communication which eventually create negative impact on the trust and confidence of the respondents. Due to the inaccurate informative sheet, many participants are not willing to take part in the study which restrict researcher from collecting the diverse and crucial information related to the topic. Further, researcher could face legal obligation in the upcoming time as respondent could blame for any misuse or fraud activities (Nii Laryeafio and Ogbewe, 2023). In the context of avoiding all such ethical and legal obligation, focus should be paid over reforming the information sheet. Further, the information sheet did not disclose data regarding the potential risk associated with the study as Sven got frustrated and low after taking the survey. While drafting information sheet, researcher should cover below mentioned topic which will help in creating the efficient information sheet:
Lack of transparency: The third crucial ethical considerations which have not been followed by Astrid are related to false or misleading advertisement on the social media sites. In the advertisement, Astrid stated that this research could be initiated in limited time whereas Sven needs to incur additional 15 minutes for filling the form. Due to high time consumption, Sven felt very frustrated and low in mood after attaining the survey which denotes inefficiency in providing clear information to the respondents. This indicates that adequate transparency have not been managed in the study creates issue in gaining the trust and confidence of the respondent (Suri, 2020). For maintaining effective transparency in data collection process, research should clearly describe adequate information related to the research study. Further, a pilot survey should be conducted which helps in identifying the time, risk and benefits associated within the study. This will help in providing most accurate and reliable information in advertisement result in maintaining transparency with the respondent.
For determining the interrelationship between the growth mindset and academic stress, various descriptive and inferential tools has been utilized. In this context, correlation, regression, mean and standard deviation will be used to depict interrelationship between both the variables.
Correlations have been selected as it helps in identifying the extent to which two variables are associated in a positive, moderate or adverse manner (Sürücü and Maslakci, 2020). This matrix supports in identifying the direction of interrelationship which result in gaining better understanding. This method also aids in predicting human behaviour and causal relationship between the variable which help in making statistical data more easier and simplified to understood. From the above table, it has identified that both the variable are negatively related which indicates increase in one variable will result in causing decrease in other variable. Further, correlation is below 1 which indicates weak correlation among both the variables.
Along with correlation, regression have also been calculated which help in determining the magnitude of interrelation among variables (Yu, 2020). This method has been selected as it facilitating effective decision making by establishing relationship between depended and interdependent variables. On the basis of above table, p value is below 0.05 indicating acceptance of alternative hypotheses. This indicates that significant difference takes place in the mean value of academic stress and growth mindsets.
Along with this, mean and standard deviation has also been calculated for better understanding the variable. Descriptive analysis support in tracking various KPIs and metrics which help in providing adequate information related to variables. It has been identified that mean of academic stress is higher than growth mindset which denotes there is high amount of stress related to studies. Further, it has identified that growth mindset is having lower standard deviation which indicates less amount of deviation in the data.
For effectively interpreting recorded statistics, P-values, test statistics and hypothetic testing result has been undertaken. Descriptive analysing has been initiated on the equal number of participant which is equal to 30 parents. The current section is related to analysing the descriptive and inferential statistics for identifying whether the twin should be separated or not in the primary school. On the basis of mean analysis, it has been identified that there is high mean score for separating children which includes 4.23 as compare to 3.63 for non twin separation in the primary school which indicates that majority of parents are in favour of separating. Further, there is low standard deviation for twin separation that is 1.59 which denotes high consistencies in the collected data. From the descriptive analysing of both the data, it has suggested that twin should be separated and placed in different classroom.
Outcome of independent sample t test show that P value is greater than 0.05 therefore null hypothesis accepted and other one rejected. Moreover, p value accounts for 0.118 respectively which reflect that no significant difference takes place in the mean value related to the separation of twin and no twins. Accordingly, no significant difference has been assessed if twins placed in the same classrooms or in the separated one.
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