RM glossary

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216 Terms

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100 per cent bar chart

A bar chart where the subcategories of a variable for a particular bar total 100 per cent and each bar is sliced into portions in relation to their proportion out of 100.

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Accidental sampling

Sampling based on convenience, where any person that you come across can be contacted for participation in your study.

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Action research

Research that seeks the involvement of community members in planning, undertaking, developing, and implementing research and program agendas to deal with a problem or issue confronting a group or community.

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Active variable

Variables that can be changed, controlled, and manipulated either by a researcher or by someone else in studies that seek to establish causality or association.

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After-only design

A design where the researcher studies the impact of an intervention on a population that has been exposed to it, using baseline information constructed from recall or existing records.

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Alternative hypothesis

A hypothesis that specifies the relationship that will be considered as true in case the research hypothesis proves to be wrong.

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Ambiguous question

A question that contains more than one meaning and can be interpreted differently by different respondents.

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Applied research

Research where research techniques and methods are applied to collect information about various aspects of a situation, issue, problem, or phenomenon for purposes such as policy formulation, program development, and evaluation.

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Area chart

A chart that presents information about the subcategories of a variable in the form of shaded areas under a line diagram, highlighting the magnitude of each subcategory in relation to others.

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Attitudinal scales

Scales designed to measure attitudes towards an issue, including the summated rating scale, equal-appearing interval scale, and cumulative scale.

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Attitudinal score

A numerical value calculated based on a respondent's answer to an attitudinal statement or question.

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Attitudinal value

The weight or significance given to a statement reflecting its importance in reflecting an attitude in an attitudinal scale.

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Attribute variables

Variables that reflect the characteristics of the study population and cannot be manipulated, changed, or controlled, such as age, gender, education, and income.

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Bar chart

A graphical display of categorical data where rectangles representing frequencies are spaced to indicate that the data is categorical.

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Before-and-after design

A design that compares the change in a phenomenon or variable(s) between two points in time using two sets of cross-sectional data collection points on the same population.

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Bias

A deliberate attempt to conceal or highlight something in research or to use inappropriate procedures or methods to obtain desired information.

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Blind studies

Studies where the study population does not know whether they are receiving real or fake treatment or which treatment they are receiving, aiming to isolate the placebo effect.

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Case study

A design where a single case is studied intensively to explore specific aspects, assuming it is typical of cases of a certain type.

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Categorical variables

Variables measured in the form of categories, placed in a category based on the presence or absence of a characteristic, and measured on nominal or ordinal scales.

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Chance variable

Variables that can be affected by the mood of a respondent or the wording of a question, resulting in random changes in responses.

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Closed question

A question with predetermined answer options where the respondent selects the category that best describes their answer.

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Cluster sampling

Sampling based on dividing a population into groups called clusters and selecting elements from each cluster using simple random sampling.

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Code

A numerical value assigned to a response during data analysis.

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Code book

A listing of numerical values assigned to answers obtained from respondents for each question.

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Code of conduct

A set of principles based on ethical considerations that govern professional practice in a profession.

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Coding

The process of assigning numerical values to different categories of responses for analysis.

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Cohort studies

Studies based on a common characteristic within a subgroup of a population, studying people with the common characteristic over time to collect information of interest.

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Collaborative enquiry

Participatory research that advocates close collaboration between the researcher and research participants.

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Column percentages

Percentages calculated from the total of all subcategories of one variable displayed along a column in different rows.

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Community discussion forum

A qualitative strategy to gather opinions, attitudes, and ideas of a community regarding community issues and problems.

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Comparative study design

A design used to compare the effectiveness of different treatment modalities, either as an experiment or non-experiment.

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Concept

Words used in research that are difficult to measure and may vary in understanding from person to person.

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Conceptual framework

The basis of a research problem, describing the aspects selected from the theoretical framework to become the basis of the research enquiry.

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Concurrent validity

Comparing the findings of a research instrument with those found by another well-accepted instrument to assess its validity.

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Controlled

Designing a study to link cause and effect and accurately assess the impact of the independent variable.

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Controlled experiments

Dividing the study population into experimental and control groups to compare the effects of an intervention.

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Convenience sampling

Non-probability sampling based on the convenience of selecting potential respondents.

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Correlational studies

Investigating the relationship between two or more variables.

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Cost—benefit evaluation

Assessing the price of an intervention in relation to its benefits.

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Cost-effectiveness evaluation

Assessing the price of an intervention in relation to its effectiveness.

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Credibility

The extent to which qualitative research results are agreeable to the participants and confirmed by them.

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Cross-over comparative experimental design

Introducing an intervention to one group, measuring its impact, and then switching the groups.

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Cross-sectional studies

Obtaining an overall "picture" of a phenomenon by taking a cross-section of the population.

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Cross-tabulation

Analyzing two variables to determine if there is a relationship between them.

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Cumulative frequency polygon

Drawing a graph based on cumulative frequencies to interpret data.

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Dependability

The extent to which qualitative research results are consistent and reliable.

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Dependent variable

The variable that changes in response to the independent variable.

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Descriptive studies

Systematically describing a situation, problem, phenomenon, or program.

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Dichotomous variable

A variable with only two categories.

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Disproportionate stratified sampling

Selecting elements from each stratum without considering their size in the population.

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Dominant/less dominant studies

A mixed methods study where one methodology dominates.

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Double-barrelled question

A question that contains two separate inquiries.

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Double-blind studies

A study where neither the researcher nor the participants know which group is receiving the intervention.

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Double-control studies

A study with two control groups to separate out effects from the research instrument or respondents.

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Editing

Scrutinizing research instruments to minimize errors and gaps in the collected information.

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Elevation effect

Observers using a specific section of a scale consistently in recording observations.

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Equivalent status studies

A mixed methods study where both methodologies are equally applied.

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Error of central tendency

Avoiding extreme positions on a scale, leading to an error in assessment.

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Ethics

Moral values of professional conduct in research.

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Ethical practice

Professional practice in accordance with accepted codes of conduct.

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Evaluation

Reviewing an intervention or program to make informed decisions and identify changes for improvement.

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Evaluation for planning

Establishing the need for a program or intervention.

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Evidence-based practice

Service delivery based on research evidence, clinical judgment, and client preference.

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Experimental group

The group exposed to the intervention being tested in a study.

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Experimental studies

Studying causality by introducing an intervention and observing its effects.

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Expert sampling

Selecting experts in a specific area as the basis for data collection.

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Explanatory research

Clarifying the relationship between two aspects of a situation or phenomenon.

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Exploratory research

Investigating an area with limited knowledge or determining the feasibility of a study.

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Extraneous variables

Variables other than the independent and dependent variables that can affect the relationship between them.

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Face validity

Justifying the inclusion of a question or item in a research instrument based on its relevance to the study objectives.

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Feasibility study

Investigating the possibility of conducting a larger-scale study and streamlining methods and procedures.

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Feminist research

Research guided by feminist concerns and theory, focusing on women's viewpoints and addressing social inequality.

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Fishbowl draw

Method of selecting a random sample by drawing numbered slips of paper from a bowl.

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Focus group

Qualitative research method involving a facilitated group discussion to explore attitudes, opinions, or perceptions.

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Frame of analysis

Plan for analyzing data and the statistical procedures to be used.

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Frequency distribution

Grouping respondents into subcategories based on a variable measured or coded.

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Frequency polygon

Graphical representation of data using rectangles joined at the midpoint of each interval.

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Graphs

Visual representations of analyzed data for better understanding and communication.

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Group interview

Collecting information from a group collectively through facilitated discussion with a researcher.

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Guttman scale

Attitudinal scale with statements arranged in perfect cumulative order.

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Halo effect

Influencing the rating of one aspect of an interaction based on the rating of another aspect.

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Hawthorne effect

Change in behavior due to awareness of being observed.

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Histogram

Graphic presentation of analyzed data using adjacent rectangles to represent frequencies.

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Holistic research

Research approach that considers multiple perspectives to understand a phenomenon in its entirety.

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Hyp

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Hypothesis of difference

A hypothesis in which a researcher stipulates that there will be a difference but does not specify its magnitude.

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Hypothesis of point-prevalence

A hypothesis in which a researcher speculates almost the exact prevalence of a phenomenon or outcome in quantitative units.

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Independent variable

The variable responsible for bringing about change in a phenomenon in the study of causality.

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In-depth interviewing

A method of data collection that provides complete freedom in terms of content, structure, and questioning in a research study.

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Indicators

Logical reflectors used to measure a concept that is incapable of direct measurement.

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Informed consent

The consent given by respondents after being adequately and accurately made aware of all aspects of a study.

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Interrupted time-series design

A design in which a group of people is studied before and after the introduction of an intervention, with multiple data collections at different time intervals.

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Interval scale

A measurement scale divided into equally spaced intervals, with a starting and terminating point, but without a fixed zero point.

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Intervening variables

Variables that must be present for the assumed effect of an independent variable on a dependent variable to occur.

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Intervention—development—evaluation process

A cyclical process of continuous assessment of needs, intervention, and evaluation in order to enhance relevance, efficiency, and effectiveness.

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Interview guide

A list of issues, topics, or discussion points used as a reminder in an in-depth interview.

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Interview schedule

A list of questions prepared for use by an interviewer in a person-to-person interaction for data collection.

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Interviewing

A method of data collection involving asking questions of respondents and recording their answers.

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Judgemental sampling

A sampling design based on the researcher's judgement of who can provide the best information for the study objectives.