RESEARCH DESIGN & IMPLEMENTATION Professor Dr Rashidah Abdul Rahman Deputy Director, Accounting Research Institute Universiti Teknologi MARA 40450 Shah Alam Email: shidah@salam.uitm.edu.my 1 RESEARCH PROCESS PHASEPH I: DETERMINATION OF THE INFORMATION RESEARCH PROBLEM Task Step 1: Define Research Problems/ Develop Problem Statement/Research Questions Task Step 2: Establish research objectives and determine the value of the information/Significant of the Study Task Step 3: Develop Research Framework/Hypotheses PHASE II: DEVELOPMENT OF THE APPROPRIATE RESEARCH DESIGN Task Step 4: Determine and evaluate the research design and data source Task Step 5: Determine the sample plan and sample size Task Step 6: Determine the measurement issues and scales PHASE III: EXECUTION OF THE RESEARCH DESIGN Task Step 7: Collect and process data Task Step 8: Analyze data Task Step 9: Transform data structures and information PHASE IV: COMMUNICATION OF THE RESULTS Task Step 10: Prepare and present final report 2 Research Design Research design is a framework or blueprint for conducting a research project. It is a plan to be followed to answer research objectives, research hypotheses, and/or research questions. 3 Determine and Evaluate Research Design Exploratory Research •Gathers preliminary information that will help further define the problem and suggest hypotheses. Descriptive Research •Describes things as market potential for a product or the demographics and consumers’ attitudes. Causal Research •Test hypotheses about causeand-effect relationships. 4 Qualitative vs Quantitative Methods Factors/Characteristics Qualitative Methods Quantitative Methods Research Goals/Objectives Discovery and identification Of new ideas, thoughts, Validation of facts, estimates, relationships, predictions Type of research Normally exploratory Designs Descriptive and causal designs Type of questions Open ended, semistructured, Unstructured, deep probing Mostly structured Type of execution Relatively short time frames Significantly longer time frames Representativeness Small samples, limited to Sampled respondents Large samples, representative of target population Type of analyses Debriefing, subjective, content, interpretive Statistical, descriptive, causal predictions and relationships Interpersonal Communications, Observation, interpretive skills Scientific, statistical procedure and translation skills Very limited, only preliminary insights and understanding Good inferences about facts, estimates relationships Researcher skills Generalizability of results 5 What is Qualitative Research? … is an effort to understand situations in their uniqueness as part of a particular context and the interactions there. This understanding is an end in itself, so that it is not attempting to predict what may happen in the future necessarily, but to understand the nature of the setting – what it means for participants to be in that setting, what their lives are like, what’s going on for them, what their meanings are, what the world looks like in that particular setting – and in the analysis to be able to communicate that faithfully to others who are interested in that setting … the analysis strives for depth of understanding Patton (1985) 6 Qualitative Study – Exploratory Design Objective is to explore or search through a problem or situation to provide insights and understanding. Purposes: – Formulate a problem or define a problem more – – – – precisely Identify alternative courses of action Develop hypotheses Isolate key variables and relationships Establish priorities for research 7 Common Qualitative Methodologies Ethnography -the researcher (anthropologists) looks at the entire group – more specifically a group that shares a common culture – in depth Phenomenological Study - Attempts to understand people’s perceptions, perspectives and understandings of a particular situation Grounded Theory - To begin with the data and use them to develop a theory – normally substantive theory Case Study Content Analysis Basic or Generic Qualitative Study 8 Quantitative ResearchDescriptive Design Objective is to describe or establish a relationship of something – Purpose: • • • • To describe characteristics To estimate percentage To determine perceptions To determine the degree to which variables are associated. • To make specific predictions 9 Quantitative Research – Causal Design – Objective is to obtain evidence of cause-andeffect relationships by means of experimentation – Purposes: • Identify variables that are deemed the cause and variables that constitute the effect of a phenomenon. • Predict the nature of the relationship between causal variables and the effect to be predicted. 10 So which methods to choose….. Depends on the purpose of the study Depends on the information sought Depends on resources available Depends on the time available to conduct the study 11 IF YOU HAVE A POWERFUL IMAGINATIVE MIND AND YOU LOVE TO CONSTRUCT SOMETHING UNIQUE OUT A MAZE OF THOUSAND THINGS QUALITATIVE RESEARCH ETHNOGRAPHICAL STUDY HISTORICAL STUDY CASE STUDY 12 IF YOU ARE GOOD WITH NUMBERS AND YOU LIKE TO SEE EVENTS AND THINGS IN TERMS OF NUMBERS CONSIDER DOING QUANTITATIVE RESEARCH THAT USES FANTASTIC STATISTICAL ANALYSES 13 NEXT QUESTIONS TO BE ASKED HOW SHOULD THE QUESTIONS BE FORMULATED? HOW SHOULD THE VARIABLES BE MEASURED? WHAT TYPE OF DATA? PRIMARY? SECONDARY? HOW SHOULD THE DATA BE GATHERED? OBSERVATION? INTERVIEW? DOCUMENTATION? WHO SHOULD BE THE SAMPLE? SELECTION PROCESS? HOW MANY? 14 SAMPLING ISSUES WHAT SAMPLE SIZE? TYPES OF SAMPLE SELECTIONS: – SIMPLE RANDOM SAMPLING – STRATIFIED RANDOM SAMPLING – CLUSTER SAMPLING – CONVENIENCE SAMPLING 15 Sampling Alternatives Sampling Techniques Probability Sampling Techniques NonProbability Sampling Convenience Judgmental Quota Snowball Sampling Sampling Sampling Sampling Simple Random Systematic Sampling Sampling Stratified Cluster Sampling Sampling 16 Probability Sampling – When elements in the population have a known chance of being chosen as subjects in the sample have a known chance of being chosen as subjects in the sample – The sample can be confidently generalised to the population Non-Probability Sampling – When time or factors rather generalisability become critical – The sample cannot be confidently generalised to the population 17 Simple Random Sampling – Every element in the population has a known and equal chance of being selected as a subject Systematic Sampling – Involves drawing every nth element in the population starting with a randomly chosen element between 1 and n Stratified Random Sampling – Population is first divided into meaningful segments; thereafter subjects are drawn Cluster Sampling – Groups that have heterogeneous members are first identified; then some are chosen at random 18 Factors to consider when selecting sample size The variability in the population. – This refers to the proportionate distribution of the characteristics that are being studied. The required level of confidence. – If a higher level of confidence is required in the result of the research, then the larger the sample size is necessary. The required limits of accuracy. – Generally, the larger the sample size, the more accurate the results are likely to be as a predictor of population values. Allowance for non-response – It is to be expected that non-response will occur in any the survey. Therefore, it is best to make allowance for the nonresponse by increasing the sample size by the estimated amount of non-response. Practical factors – It is important for a researcher to consider the resource constraints. Time and money are important factors to consider when selecting the appropriate sample size. 19 NEXT QUESTIONS TO BE ASKED HOW SHOULD THE VARIABLES BE MEASURED? HOW SHOULD THE DATA BE GATHERED? SURVEY? OBSERVATION? INTERVIEW? DOCUMENTATION? WHAT TYPE OF DATA? PRIMARY? SECONDARY? 20 Data Collection Survey method – Questionnaire Interviewing – Interview Guide Focus Group – Moderator’s Outline Observation – Observation Checklist Triangulation Secondary data 21 USES MEASURING INSTRUMENT CALLED QUESTIONNAIRE SURVEY YOU CAN BUY, BORROW OR DESIGN THE QUESTIONNAIRE QUESTIONNAIRE HAS CONSTRUCT VALIDITY QUESTIONS ARE GROUPED ACCORDING TO CONCEPTS/IDEAS RELATED TO IT MEASUREMENTS USED ARE RELIABLE ITEMS TO BE DISPERSED TO AVOID BIAS CHECK IF THIS IS THE BEST WAY TO OBTAIN THE DATA NEEDED 22 BE SURE OF THE SAMPLE OF THE STUDY & SAMPLING PROCEDURES INCLUDE A SET OF INSTRUCTIONS SURVEY INCLUDE STAMPED, SELF-ADDRESS ENVELOPE QUESTIONS ARE GROUPED ACCORDING TO CONCEPTS/IDEAS RELATED TO IT ENSURE PROFESSIONAL LAYOUT PILOT-TEST YOUR QUESTIONNAIRE REVIEW YOUR QUESTIONNAIRE DEVELOP MASTER LIST/DIRECTORY SEND FOLLOW UP & THANK YOU LETTERS 23 PRINCIPLES OF QUESTIONNAIRE DESIGN 1 Principles of wording Content and Purpose of question Wording And Language Type and Form of questions Observation Data collection methods Questionnaires Questionnaire administration Testing goodness of data Sequencing Classification data or Personal information Interview Categorization 2 Principles of measurement Coding Scales and scaling Reliability and validity 3 General “getup” Appearance and questionnaire Length of questionnaire Introduction to respondents Instructions for completion 24 PREPARE AN INTERVIEW CHECKLIST INTERVIEW BE PREPARED WITH YOUR SKILL IN SHORTHAND WRITING OR YOU NEED TO WRITE FAST ASK PERMISSION TO TAPE THE CONVERSATION IDENTIFY PATTERNS WHEN INTERPRETING YOUR DATA YOU NEED TO TRANSCRIBE THE INTERVIEW BE PREPARED TO WRITE DRAFT AFTER DRAFT OR REWRITING 25 In-Depth Interviewing Types of Interview questions? Highly Structured Semistructured Wording of Mix of morequestions and lesspredetermined structured Order of questions question predetermined Oral form of a survey Unstructured Open-ended questions Flexible, exploratory More like a conversation 26 Example: studying the role of mentoring in the career development of a lecturer Highly Structured Semistructured Unstructured Begin by giving each respondent a definition of mentoring Ask the person to identify someone who is a mentor Ask each lecturer to describe his or her understanding of mentoring Ask each lecturer to think of someone who is a mentor Ask the respondent to share how he or she got to be a mentor Ask question about the influences or factors that have helped to shape the respondent’s career 27 Types of Questions Example: Directors Training Program Type of Question Example Hypothetical Question: asks what the respondent might do or what it might be like in a particular question: usually begins with “what if” or “suppose” Devil’s Advocate Question: challenges the respondent to consider an opposing view “Suppose it is your first day in this directors’ training program. What would it be like?” “Some people would say that training program doesn’t do any good to the directors, especially those who have been on the board for a long time. What would you say to that?” “What do you think the ideal training program would be like” “Would you say that attending directors’ training programs would enhance your role and responsibilities as 28 director? Ideal Position Question: asks the respondent to describe an ideal situation Interpretive Question: advances tentative interpretation of what the respondent has been saying and asks for a reaction Questions to Avoid Type of Question Multiple Questions Example How do you feel about the instructors and the classes? Leading Questions What emotional problems have you had since losing your job? Yes-or-No Question Do you like the program? Has returning to school been difficult? 29 Other things to consider during an interview The Interview Guide – a list of questions you intend to ask At the beginning of the interview, clarify the following: – The investigator’s motives and intentions and the inquiry’s – – – – – purpose The protection of respondents through the use of pseudonyms (if necessary) Deciding who has the final say over the study’s content Payment (if any) Logistics with regard to time, place and number of interviews to be scheduled Seeking permission to record the interview Interviewer and Respondent Interaction – The personality and skill of the interviewer • Being respectful, nonjudgmental and non-threatening – The attitudes and orientation of the interviewer • Look interested and sympathetic 30 Focus Group Interview Interaction among a small group of people, between 6-12 with common identifiable characteristics Handle by a moderator who uses a discussion guide to stimulate discussions among the group members 31 SECONDARY DATA ANNUAL REPORTS GOVERNMENT DOCUMENTS MAGAZINES/ARTIFACTS 32 TRIANGULATION APPROACH IS WHERE YOU COMBINE MORE THAN ONE RESEARCH APPROACH FOR YOUR STUDY YOUR CHOSEN METHODOLOGY COULD BE A SIGNIFICANT CONTRIBUTION TO THE BODY OF KNOWLEDGE TRIANGULATION IS NOW VERY MUCH ENCOURAGED FOR YOUR PhD RESEARCH YOU MAY NEED TO ANALYSE CONTENTS OF REPORTS, BOOKS, STATEMENTS YOU MAY NEED TO COMBINE QUALITATIVE AND QUANTITATIVE ANALYSIS OF DATA 33 END OF PHASE II PROCEED WITH PHASE III: EXECUTION OF THE RESEARCH DESIGN 34 THANK YOU