Practical Research 2 PDF
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This document provides an overview of quantitative research, highlighting its characteristics, strengths, and weaknesses. It also discusses the importance of quantitative research across diverse fields like education and psychology, outlining various elements of research like research design and methodology. It is a useful resource for understanding fundamental aspects of quantitative research.
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**PRACTICAL RESEARCH 2** **RESEARCH** \- is a systematic process of collecting, analyzing, and interpreting information-data in order to increase our understanding of a phenomenon about which we are interested or concerned. **QUALITATIVE VS. QUANTITATIVE** +-----------------------+--------------...
**PRACTICAL RESEARCH 2** **RESEARCH** \- is a systematic process of collecting, analyzing, and interpreting information-data in order to increase our understanding of a phenomenon about which we are interested or concerned. **QUALITATIVE VS. QUANTITATIVE** +-----------------------+-----------------------+-----------------------+ | | QUALITATIVE | QUANTITATIVE | +-----------------------+-----------------------+-----------------------+ | ELEMENTS OF ANALYSIS | Words | Numeric | | | | | | | \- pictures, | \- or statistical | | | documents, objects, | (measurable) | | | artifacts | | +-----------------------+-----------------------+-----------------------+ | RESEARCH TYPE AND | Exploratory | Conclusive | | OBJECTIVE | | | | | \- to explore or | \- to describe, | | | discover ideas or | examine, relationship | | | concepts | and differences among | | | | variables | +-----------------------+-----------------------+-----------------------+ | HYPOTHESIS | None or generated | Tested | | | | (relationship/differe | | | | nces) | +-----------------------+-----------------------+-----------------------+ | SAMPLES AND SAMPLING | Individualized | Groups (large) | | | (small) | | | | | Probability (random) | | | Non-probability | | | | (purposive) | | +-----------------------+-----------------------+-----------------------+ | INSTRUMENTS | Open-minded | Close-ended | +-----------------------+-----------------------+-----------------------+ **CHARACTERISTICS OF A RESEARCH** **Objective** \- data gathering and analysis of results are done accurately and are unaffected by the researcher's intuition and personal guesses. **Large Sample Size** \- to obtain more meaningful statistical result, the data must come from a large sample size n= N/ItNE\*2 **Generalizable and Reliable Data** \- data taken from a sample can be applied to the population if sampling is done accordingly. **Fast Data Collection** \- it uses standardized research instruments that allow the researcher to collect data from a large sample size efficiently. **Visual Presentation** \- data is numerical which makes presentation through graphs, charts, and tables possible and for better conveyance and interpretation. **Fast Data Analysis** \- the use of statistical tools give way for a less time-consuming data analysis. **Replication** \- can be repeated to verify findings, enhancing its validity, free from false or immature conclusions. **STRENGTHS** \- provides the researchers a clearer picture of what to expect in his research. \- the objective in approach in the sense that it only seeks precise measurements and analysis of the target concepts to answer his inquiry. \- quantitative research design is an excellent way of finding results and proving or disapproving a hypothesis. **WEAKNESSES** \- experiments can be difficult, expensive, and require much time to perform. \- it visually requires extensive statistical analysis, which can be difficult. \- large sample size makes data collection more costly. **IMPORTANCE OF QUANTITATIVE RESEARCH ACROSS FIELDS** **Education** \- innovation, academic topic, teaching strategy, approving theory, assessment \- form of organized inquiry that uses empirical approaches to address educational issues. **Psychology** \- cultural differences, empirical study on behavior, intervention, stereotypes, patterns \- perform their own research and cooperate with other scientists in a diverse of areas to develop research projects and techniques, as well as analyze the results, via quantitative research in the field of psychology. **Social Science** \- politics, unemployment, trend in society, policy and practices, economic growth \- individuals\' mental frames and experiences within specific social and cultural situations are the target of qualitative research. **Economics** \- trade, sustainable growth, standard of living, globalization, wage \- in order to make decisions and predict future trends of economic implications and systems, quantitative approaches and models help in the generating more accurate and efficient analysis of phenomena and issues. **Healthcare** \- health interventions, practices, guidelines, patterns, food and drug \- it teaches you how to examine systems and work methods that are complicated. it also teaches how to build and implement new or altered work processes or subsystems in healthcare settings. **KINDS OF VARIABLES AND THEIR USES** **Variables** \- in research, a variable is essentially a person, place, object, or phenomena that you are attempting to quantify in some manner. \- the quantifiable qualities that can vary during the course of a scientific investigation are denoted as variables. \- interaction between variables and can affect your research **EXPERIMENTAL:** **Cause** \- untouched by the other factors you\'re attempting to quantify; in an experiment this is methodically manipulated by the researcher. **Effect** \- this variable is anticipated to be modified as the outcome of the manipulation throughout the experiment of the independent variable **Independent Variable** \- is the variable being controlled in the problem \- is the cause. Its value is independent of other variables in your study. **Dependent Variable** \- is the variable that changes because of this control \- is the effect. Its value depends on changes in the independent variable. Dependent Independent PLANT GROWTH WATER DRIP \- Height \- Yield \- Color **Intervening Variable** \- used to explicate causal links between other variables. as the term \[hypothetical variable\] implies, this cannot be observed during an experiment. **Confounding Variable** \- also known as a third variable, influences both the independent variable and dependent variable. **NON-EXPERIMENTAL:** **Predictor** \- predicts an outcome (criterion) **Criterion** \- criterion variable, often known as a dependent variable, is a type of variable that is commonly employed in non-experimental research. **CATEGORIAL VARIABLES:** **Nominal** \- two or more categories but no inherent order are known as nominal variables. ex. blood type **Ordinal** \- have two or more classifications but no underlying hierarchy. ex. socioeconomic status **Dichotomous** \- nominal variables with only two categories or levels are known as dichotomous variables. ex. gender (male/female) and yes/no. **CONTINOUS VARIABLES:** **Interval** \- ('distance between two entities' )are variables that may be assessed along a spectrum and have a quantitative value as their core attribute. ex. Temperature (Celsius or Fahrenheit) and sat score (200-800). **Ratio** \- a ratio variable contains just about all the features of an interval variable, plus a distinct definition of 0.0. **QUANTITATIVE RESEARCH DESIGN** **Experimental Group** **-** receives the variable being tested in an experiment **Control Group** \- does not receives variable being tested in an experiment **True Experimental Research** \- helps investigate the cause-and-effect relationships between the variables under study \- use random selection in determining who among the participants should compose the experimental group and control group. **Quasi-Experimental Research** \- aims to identify the causal relationship between an independent and dependent variable. \- are those forming a class that remains as one group incapable of disintegration. \- the not randomly chosen participants are subjected to any types of quasi-experimental **HYPOTHESIS** \- a tentative explanation or an answer to a question about variables, their relationships, and other facts involved in the research. \- it has to be tested through analytical investigation to prove how true or false it is. \- expected outcome and prediction **Null Hypothesis** \- symbolized by Ho \- there is no relationship between the variables \- therefore, a statement to disprove the fact that the independent variable (treatment) has an effect on dependent variable. **Alternative Hypothesis** \- symbolized by Hi \- there is relationship between the variables \- the fact that the first affects the second one **Importance**: \- provide opportunities to prove the relationship between variables \- guides researchers on which aspects of the research to focus on **Formulation**: \- express your hypothesis in a declarative sentence. \- support it with ideas based on theories, known facts, previous studies. **EFFECTIVE RESEARCH TITLE** \- should be written in the form of a phrase with proper capitalization. \- should have at least 12 substantiative words. \- include significant factors such as predictor, criteria, IV and DV. \- should be brief, indicating the respondents and the scope of the research. \- sometimes, it has catchy phrase to provide a substantive and appealing literary title. \- consider the SMART (specific, measurable, attainable, realistic, time-bound. \- use of abbreviations should be avoided. **BACKGROUND OF THE STUDY** \- highlighting the different nature of the topic **Rationale**- justification of the study **TIOC** **Trends** (3-5 paragraphs) \- explanation about the topic \- previous investigation/researches about that certain topic **Issues** (3-5 paragraphs) \- restating the topic, but more widen/broad \- research gap (what else do you need to investigate?) **Objectives** (1 paragraph) \- researchers must state why the study needs to be investigated (rationale) \- goal, investigate, objectives **Contribution** (1 paragraph) \- significance of the research study **RESEARCH PROBLEM** \- an area of concern wherein people are having difficulties or seeking for solution. \- it is a challenging question that arises from contrasting claims from literature or theory \- underlines the necessity or further in-depth information and through investigation. **Sources of the Problem:** \- personal experiences \- relevant literature \- theory \- practitioners **Considerations**: \- new social and technical developments and social trends \- replicability \- time-factor \- availability of the respondents \- novelty -hazard \- qualifications of the researchers **STATEMENT OF THE PROBLEM** \- the subject addressed by a researcher is articulated in the statement of the problem \- formulation of focused and well-defined problems \- helps the researcher to disclose additional important aspects such as the key variables, objectives, and methodology. **General Problem** \- **main task** (action verb- assess, determine, describe, compare) \- **central phenomenon/variable** (main variable- predictor, criterion, IV, DV) \- **participants** (target respondents) \- **locale/setting** (study takes place) \- **time frame** (duration of the study) \- **intended output** (end point of the study- optional) **STRUCTURE OF RESEARCH QUESTIONS** \- choose the type of quantitative research question you are trying to create ex. descriptive, comparative or relationship-based \- identify the different types of variables you are trying to measure, manipulate/control, as well as any groups you may be interested in. \- select the appropriate structure for the chosen type of quantitative research question, based on the variables and/or groups involved. \- write out the problem or issues you are trying to address in the form of a complete research question. **TYPES OF QUESTIONING:** **Factor-Isolating Question** \- they isolate, categorize, describe, or name factors and situations. \- sometimes called factor-naming questions. **Factor-Relating Question** \- their goal is to determine the relationship among factors that have identified. \- aim to establish relationship. **Situation Relating Questions** \- the researchers manipulate the variables to find out what will happen (what will happen if....?) **Situation Producing Question** \- require a proposed output \- it suggest developmental and action plans where the researchers have to establish areas for proposals of plans to achieve the goals (how can I make it happen?) **LITERATURE REVIEW** **RRL**- Review of Related Literature \- examine all the connected written works **Paraphrasing vs Summarizing** **Paraphrasing**- reconstructing without changing the meaning (PARA) **P**ut the text in your own words **A**void copying the text **R**earrange all similar text **A**sk yourself if you include all the information needed **Summarizing**- summing up a work or passage concisely using key points. **SCOPE AND DELIMINATION** **Scope** \- determines how comprehensive it must be in order to meet the research objectives. \- this contains the demographic and time frame parameters within which it will operate. **Elements of Scopes** \- general purpose \- setting/locale \- population \- time frame **Limitation vs. Delimitation** **Limitations** \- are apparent weaknesses in a study that a researcher cannot regulate, such as situations, conditions, and influences. **Delimitation** \- parameters of the research investigation are defined and clarified by delimitations. **CONCEPTUAL FRAMEWORK** \- also known as a research model or conceptual model, is a graphic depiction of variables associated with one another (correlation) or one variable influences another one. \- the crafted conceptual framework must be anchored to the formulated research title. **Framework** \- the frames are used to set up the key variables such as iv, dv, predictor, and criteria. **Arrow** \- the arrow between the two frames denotes the cause (from which the arrow originated) and effect (from which the arrow is pointed) **Line** \- is employed when a relationship (correlation) between two variables is predicted. **Crafting a Conceptual Framework** \- select a topic which falls under your area of specialization \- read various sources (literature review) \- determine the relationships between the particular variables presented in the literature. \- create a conceptual framework for your research undertaking. **IPO Model** \- input-process-output **-P Model** \- (proposing program/intervention) **POM Model** \- propose original model **DEFINITION OF TERMS** \- clarification and explanation of key concepts, terms, and terminology used in the study \- researchers define the present variables in your research study 1. **Conceptual**- definitions lifted to different sources (general) 2. **Operational**- based on how you used it in your research study.