Research Methods Used in Motivation and Emotion Studies

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Table of Contents

Introduction
Research design
Population, sample size and sampling design
Data collection methods
Validity and reliability
Data analysis
Ethical considerations
References

Introduction

A research method is a procedure for collecting and analyzing data in a way that combines the research purpose of the study and the economy. Research studies in psychology are carried out in accordance with scientific methods standards. This encompasses both quantitative and qualitative statistical modalities that generate and analyze explanatory hypothesis regarding a psychological phenomena.

There are various methods that are used in qualitative research. Some of these methods include explorative approaches as well as observing the participants and recording the behaviors. In addition, it is possible to use interviews, which can be made to be made to be structured.

Through such qualitative methods, it becomes possible to get data which would otherwise be hard to get if quantitative approaches were taken. Quantitative methods in psychology incorporate use of statistical techniques to analyze data about human behavior.

This paper will be comparing research methods used in two peer-reviewed articles that focus on emotions and motivation. The paper will review an article by Jianzhong on “Homework Emotion Management Reported by High School Students” published in 2005.

The paper will also review an article by Xiang, Bruene, and McBride on “Achievement Goals and Their Roles in Students’ Motivation and Performance in Physical Education Running Programs” published in 2005. Specifically, the paper will compare and contrast the research design, target population, sampling design and sample size, data collection methods, data analysis and ethical considerations.

Research design

Kothari (2004) indicates that a research design is a blueprint of a research project that comprises of a research procedure which makes the research study efficient, yielding maximum information while reducing the expenditure of effort, money and time. Different research studies that are commonly used in research include a survey method, a case study and descriptive design.

In both research studies the researchers used a survey method as their research design. A survey method involves interviewing the participants on their feelings, views and experiences in relation to the research objectives and hypothesis. A survey method is appropriate in psychological research since it helps the researcher to collect data on a subject that is not directly observable. Motivation and emotions cannot be observed and hence they can be measured best using a survey research method.

Population, sample size and sampling design

A population refers to a group of items or individuals with a common attribute under consideration in a field of enquiry. The target population in Jianzhong (2005) research study was 1,869 students while the target population in Xiang, Bruene, and McBride (2005) was 461 students.

Both research studies were done in schools. Jianzhong (2005) combined both purposive sampling and random sampling to select their sample sizes. Purposive sampling was used to select English classes. Purposive sampling is a non random sampling method which helps the researcher to select a sample of people, events or settings who have predetermined characteristics.

The researchers had observed that they were required by all students and hence purposive sampling was appropriate. However, the sample size was still large and hence simple random sampling was used to select a total of 10 English classes; five in grade 10 and five in grade 9.

Xiang, Bruene, and McBride (2005) in their study used purposive sampling to select their sample size. In both studies, the researchers used purposive sampling but Jianzhong (2005) also used simple random sampling. The sample size in Jianzhong (2005) research study was 205 students while the sample size in Xiang, Bruene, and McBride (2005) was 461 students.

Data collection methods

Primary and secondary data can be used in a research study. Data collection methods used in collecting primary data include mailed questionnaires, structured questionnaires, semi structured questionnaires, focus group discussions, structured interviews, semi structured interviews and observations.

In both studies the researchers used questionnaires to collect their data. Xiang, Bruene, and McBride (2005) in their study used a close ended questionnaire with a five-point Likert scale in each and every question. In Jianzhong (2005) study, possible responses to the questions were: strongly disagree which was scoring, disagree which was scoring two, ‘agree’ which was scoring three, and strongly agree which was scoring four.

Structured questionnaires are preferred by most researchers since they are economical in terms of cost, and time as compared to other data collection methods. In the two articles the researchers used quantitative data to answer the research questions.

Validity and reliability

The accuracy of data collected mostly depends on the validity and reliability of the data collection instruments. Validity is the extent to which the results obtained after analyzing the data represent the study’s phenomena. Validity of the data collection instruments is achieved by pre-testing the research instruments in order to identify any ambiguous offensive of awkward questions and make changes where necessary. In both research articles the researchers did not do a pretest.

Reliability measures the degree to which a research instrument yields consistent results. Jianzhong (2005) in his study tested the reliability of his data and found that Alpha reliability coefficients were.81 for extrinsic reasons and 86 for intrinsic reasons. Xiang, Bruene, and McBride (2005) did not do a reliability test in their study.

Data analysis

Quantitative data can be analyzed by three statistical data analysis tools: descriptive statistics and inferential statistics and test statistics. Inferential statistics helps the researchers to make conclusions and predictions in relation to the properties of a population using the information from the sample size. Descriptive statistics helps the researcher to obtain information about central tendency, kurtosis, skew and dispersion and of data. Inferential statistics also help the researcher to obtain information of on the relationship between variables.

Xiang, Bruene, and McBride (2005) in their study used both inferential and descriptive statistics to analyze their data. In inferential statistics they used MANOVA test while in descriptive statistics they used mean.

In his study Jianzhong (2005) used both descriptive and inferential statistics. Jianzhong (2005) used descriptive statistics to describe levels of education and his dependent variable (homework emotion management). In his inferential statistics Jianzhong (2005) used Zero-Order Correlations to establish the correlation between his dependent and independent variables. He also used hierarchical multiple regression analysis to analyze variances in homework emotion management which was his dependent variable.

Ethical considerations

Minja (2009) described ethics as norms that govern the conduct of a human being and has a greatly impacted human welfare. Research studies should always have ethical consideration in relation to the respondents or organizations.

Researchers should therefore assure the respondents and the names of the respondents should not be disclosed when analyzing the data or when discussing the findings. In his study Jianzhong (2005) shared information on his study with an assistant school principal to seek approval to conduct. In their study Xiang, Bruene, and McBride (2005) did not consider any ethical consideration.

References

Jianzhong, X. (2005). Homework emotion management reported by high school students. The School Community Journal, 15(2):21-36.

Kothari, C. (2004). Research methodology: Methods and techniques. New Delhi: New Age International (P) Limited Publishers.

Minja, D. (2009). Ethical leadership practices. KCA Journal of Business Management, 2(1):1-15.

Xiang, P., Bruene, A., & McBride, R. (2005). Achievement goals and their roles in students’ motivation and performance in physical education running programs. Research Quarterly for Exercise and Sport, 76(1), 95-96

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