MIXED METHODS
|
|
Título del Test:
![]() MIXED METHODS Descripción: Exam Dic 2025 |



| Comentarios |
|---|
NO HAY REGISTROS |
|
It is applied when there is no existing theory that explains a phenomenon. We refer to: Theoretical Framework. Grounded theory. Coding. Median. More hourse of impementing puppets while storytelling decreases the affective filter in kindergarten students. That is an example of : Negative correlation. Positive correlation. Zero correlation. Introduction. When the researcher conducts a study in which there are two options to present statistical data, the first is inferential and the second is: Inferential. Descriptive. Coding. Thematic analysis. The characteristics of this type of research are: Numerical and statistical analysis, expressed in numbers, confirm or test a hypotheis, objectivity, large sample size. We refer to : Post-qualitative research. Qualitative research. Quantitative research. Progressive research. The researcher selects participants who meet somo specific criteria such as students that hold A2 proficiency Level of English. This is an example of: Imaginary sampling. Topic sampling. Immersive sampling. Criterion sampling. It is a qualitative method for collecting data often used to draw conclusions about how societies and individuals behave. We refer to: Ethnography. Literature review. Quantitaive. Introduction. In this study design, the quantitative phase of data collection and analysis follows the qualitative phase. In mixed method research this design is called: Imaginary Sequencial design. Numerical Sequencial design. Exploratory Sequencial design. Statistical Sequencial design. The three most common measures od central tendency are: Odd, even, ordinary. Mean, median, mode. Coding, categories, themes. Qualitative values. In a research study some participants have been chosen from a particular subgroup that share some similar experiences linked to the study. This strategy of sampling is : Criterion sampling. Heterogeneous Sampling. Non-sampling. Homogeneous Sampling. Interpret quantitative data within a qualitative context is called: Quantitizing data. Coding. Theme analysis. Qualitizing data. The following topic "The effectiveness of Roblox to foster vocabulary learning in a secondary school " is an example of: Politics, Policies and Practices in Language Education. Applied Linguistics and Second Language Acquisition. Technology and technology-enhanced instruction. Language skills and subskills. The following topic "Teaching grammar inductively or deductively in a secondary school" is an example of: Research and Research-related topics. Politics, Policies and Practices in Language Education. Technology and technology-enhanced instruction. Applied Linguistics and Second Language Acquisition. Random sampling, quota, snowball, convenience, systematic and cluster sampling are examples of: Introduction. Non-quantitative sampling procedure. Quantitative sampling procedure. Interview. The following topic "The impact of diagnostic tests in learning objectives in primary schoolers" is an example of: Language skills and subskills. Politics, Policies and Practices in Language Education. Assessment and assessment-related topics. Technology and technology-enhanced instruction. The following topic "The role of EFL curriculum in Ecuador: A literature review " is an example of: Technology and technology-enhanced instruction. Politics, Policies and Practices in Language Education. Applied Linguistics and Second Language Acquisitio. Language skills and subskills. In a research study, 44 students were selected to demonstrate the impact of AI tools in speaking fluency in an Ecuadorian EFL primary school. The students will be divided into two groups, one group is called as "Control group" will receive traditional methods and the second group (Experimental group) will use AI tools in classes. On the first week a pre-test is taken and a post-test as well on the last week of the study. What kind of study is?. Conclusion. Quasi-experimental. Introductory. Literature review. When the researcher conducts a study based on non-numerical data in which interviews, case study can be used to collect enough datum from the participants. This is an example of : Literature Review. Introduction. Qualitative data collection. Quantitative data collection. When the researcher conducts a study based on numerical data and non-numerical one in which the purpose is to combine different data analysis to provide a strong evidence. This is an example of : Qualitative method. Quantitative method. Mixed method. Conclusion. Quantitative Research and Qualitative research are not similar. A characteristic of Qualitative research is: It manages large sample size. It is expressed in words. It manages numerical and statistical analysis. It confirms or tests a hypothesis. According to a research study that was centered on demonstrating the effectiveness of social media on speaking. The following scores belong to the post test taken: 1, 2, 5, 6, 6 ,7, 9, 10. What is the median of the scores presented?. 6. 3. 4. 10. The following topic "A decade of English Pedagogy: A literature review of EFL in Ecuador" is an example of: Applied Linguistics and Second Language Acquisition. Research and Research-related topics. Technology and technology-enhanced instruction. Language skills and subskills. It is a list of questions or items used to gather data from respondents about their attitudes, experiences, or opinions. They can be used to collect quantitative and/or qualitative information. We refer to: Questionnaires. Standardized tests. CEFR tests. Listening test. Its central tendency is the median, it holds an arbitrary probabilistic distribution, and uses nominal data. We refer to: Non-parametric tests. Conclusion. Case study. Parametric tests. Text analysis, coding, categories, and themes are steps of the ____________________ analysis method. Mode. Median. Content. Introduction. In the results of your research it is said that "Using technology is not correlated to lower grades in EFL students". That is an example of: Positive correlation. Zero correlation. Non-positive correlation. Negative correlation. In sampling researchers usually use a set of different methods to collect data from qualitative or quantitative research, for example: Introduction, Literature review, Data analysis. Questionnaires, interviews, surveys. Papers, Notes, proposal. Experiments. According to a research study that was centered on demonstrating the effectiveness of social media on speaking. The following scores belong to the post test taken: 6, 7, 7, 8 ,9, 10. What is the mode of the scores presented?. 6. 7. 8. 10. When conducting research, it is fundamental to take into account ethical considerations, like: Disrespect people autonomy. Present sensitive information in your research study. Show the personal information of your participants in your research study. Privacy and confidentiality. The following topic "Implementing CLIL to enhance vocabulary learning in a primary school " is an example of: Teaching and teaching-related topics. Applied Linguistics and Second Language Acquisition. Technology and technology-enhanced instruction. Language skills and subskills. The following topic "The impact of authentic assessment in learning outcomes in a private school in Ecuador " is an example of: Technology and technology-enhanced instruction. Politics, Policies and Practices in Language Education. Assessment and Assessment-related Topics. Language skills and subskills. More hours of English classes improves speaking in secondary schoolers. That is an example of : Case study. Positive correlation. Negative correlation. Zero correlation. A research study has been conducted using quantitative methods through inferential statistics, so to analyze the data gathered the researcher should use: Coding. Case study. ANOVA. Categories. Describing Behavioral counts, explaining dropout rates, and summarizing performance differences are examples of: Qualitizing data. Categorizing. Quantitizing data. Alternative hypothesis. Longitudinal and Cross-sectional are two different designs in applied Linguistics research. A characteristic of Longitudinal design is: Data collection occurs once. It is called snapshot. It takes more time to develop, usually years. It takes a shorter period of time, usually months or a year. In order to conduct a mixed-method research work it is essential to understand that population is: It is the group of people whom the study is about. It is a group of participants whom the researcher actually examines in an empirical investigation. It is a small and selected group of participants that are part of the research study. It is the first part of any research work. In a research when implementing a quantitative statistical method such as inferential statistics the data gotten... makes predictions about the population. enables researcher to add extra unnecessary information. makes the research longer. describe the contents of the sample. According to a research study that was centered on demonstrating the effectiveness of social media on speaking. The following scores belong to the pre test taken: 2, 4, 5 ,9, 10. What is the median of the scores presented?. 11. 2. 10. 5. In the results of your research it is said that "The more the use of Virtual Reality devices occurs, Affective filter in EFL students decreases". That is an example of: Negative correlation. Correlation zero. Zero correlation. Positive correlation. When we study a group of participants from a research work. We are referring to: Introduction. Literature review. Sample. Population. A research study is conducted in a community of "montubio" people in which you will compare the effectiveness of implementing mobile learning in a primary school. A pre and post test will be taken in order to gather data that demonstrates the impact of technology versus traditional method. That is an examle of: Survey. Interview. Ethnography. Quasi-experimental. The use of English books with more pictures improves vocabulary in 7th grades. That is an example of : Positive correlation. Introduction. Negative correlation. Zero correlation. In research descriptive statisitcal method is based on: Shows transcriptions about opinions, reflections and comments. Describe the contents of the sample. Make predictions about the population. makes the research enjoyable. The participants are not randomly assigned to experimental groups. This type of experiment demonstrates causal relationships among variables. We refer to: Research topic. Introduction. Quasi-experimental. Research question. Some characteristics that this type of research has are: expressed in words, smaller sample size, understand and explore an idea. We refer to: Quantitative research. Numerical-based research. Qualitative research. Numerical-statistical research. Quantitative and Qualitative research are based on different-perspective approaches, but Mixed Method Research is: It is a combination of quantitative and qualitative methods that interfere each other in a research. It is a combination of quantitative methods types that complement each other in a research. It is a combination of quantitative and qualitative methods that complement each other in a research. It is a combination of qualitative methods types only that complement each other in a research. Disciplinary incident counts, Likert scales are examples of: Qualitizing data. Quantitizing data. Conclusion. Introduction. In Applied Linguistics we use three different types of questionnaires according to the data collected. Those types of questionnaires are related to: Animals, numbers, climate. Facts, Behaviour, Attitudes. Books, notes, documents. documents, papers, introduction. It is a structured conversation where one participant asks questions, and the other provides answers. In other words, it is an one-on-one conversation between an interviewer and an interviewee. We refer to: Speaking test. Pre/post test. Interview. Questionnaire. A study is conducted at a secondary school. A total of 500 learners go to this school, but the research topic is centered on speaking development in 10th graders only, 50 students in total. Therefore, the 50 students selected is an example of: Population. Introduction. Data analysis. Sample. It involves converting qualitative data into numerical codes that can be processed statistically. We refer to: Quantitizing data. Qualitizing data. Case study. Coding. When the researcher conducts a study based on numerical data in which the purpose is to demonstrate that the null hypothesis can be rejected through pre and post test. This is an example of : Introduction. Quantitative data collection. Qualitative data collection. Literature review. Correlational Research is divided into three types of correlations, they are Positive correlation, Negative correlation and: Positive-negative-positive correlation. Zero correlation. Positive and Negative correlation. Negative Positive correlation. To start a research study, we should follow some steps. The first step is: Data collection. Observation and results. Setting materials and methods. Selecting a research topic. Referring to quality criteria, Research validity is based on: How well the results among the study participants represent unreliable findings among different individuals outside the study. How well the results among the study participants represent invalid findings among different individuals outside the study. How well the results among the study participants represent true findings among similar individuals outside the study. How consistently a method measures something. Its central tendency is the mean, it holds a normal probabilistic distribution.We refer to: Parametric tests. Non-parametric tests. Likert scale. Interview. In the results of your research it is said that "As the weekly hours of English classes increases, vocabulary acquisition in EFL students increases". That is an example of: Negative correlation. Positive correlation. Zero correlation. Correlation Zero. A research study has been conducted using quantitative methods through inferential statistics like ANOVA, what are the other options to analyze the data gathered?: Case study. Coding. T-test, correlation. Interviews. This research design in Applied linguistics is called "Snapshot", so we refer to: Cross-sectional. Longitudinal. Longitudinal-sectional. Zero design. Quantitative Research and Qualitative research are not similar. A characteristic of Quantitative research is: It understands or explores an idea. It is expressed in numbers. It is expressed in words. It manages a smaller sample size. It is a subcategory of ethnography that draws together features of autobiography and ethnography and the research design allows the researcher to report on their own lived experiences in relation to the phenomenon being studied. We refer to: Autoethnography. Quantitative. Introduction. Geography. Disciplinary incident counts, Likert scales are examples of: Introduction. Conclusion. Qualitizing data. Quantitizing data. |





