Nursing process
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The nursing process document discusses nursing process and was written by Prof. Chinna Chadayan.N, who has qualifications in nursing including R.N, R.M, M.Sc Nursing, and is a Ph.D scholar in the Medical Surgical Nursing Department. The document closes with an expression of gratitude.
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1. Statistical analysis involves collecting, organizing, analyzing data, and drawing inferences about populations based on samples. It includes both descriptive and inferential statistics.
2. The document defines key terms used in statistical analysis like population, sample, statistical analysis, and discusses various statistical measures like mean, median, mode, interquartile range, and standard deviation.
3. The purposes of statistical analysis are outlined as measuring relationships, making predictions, testing hypotheses, and summarizing results. Both parametric and non-parametric statistical analyses are discussed.Implementing Data collection Plan.pptx
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1. The document outlines the steps for implementing a data collection plan, including identifying research personnel, training data collectors, and carrying out the collection procedures.
2. Key considerations for research personnel include their experience, congruity with sample characteristics, appearance, personality, and availability. Training covers study procedures, administration of questions, and trial runs.
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Structured observation involves directly observing a phenomenon and systematically recording observations. The researcher decides behaviors to observe in advance and creates an observation checklist or coding system. They tally behaviors and can sample events or time periods. It produces quantitative data. Tools like checklists are used to record notes about what is observed. Some advantages are obtaining unbiased, accurate data on currently occurring behaviors. Disadvantages include it being expensive and not allowing evaluation of past data. self report Instrument.pptx
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This document discusses different types of structured self-report instruments and rating scales that can be used to collect information. It describes four main types of rating scales: graphic rating scales, numerical rating scales, descriptive rating scales, and comparative rating scales. A common example of a rating scale discussed is the Likert scale, which uses a series of statements followed by response options to assess attitudes. The document outlines the uses, characteristics, types (including common 5-point scales), advantages, and disadvantages of Likert scales as a structured self-report instrument.Nursing Research Data Collection Flow Chart.pptx
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Data collection is the process of gathering information to answer a research question. There are two main categories of data: quantitative data, which deals with measurable numbers, and qualitative data, which involves descriptions and non-numerical data. Data can be either primary, which is originally collected for the research, or secondary, which has already been collected previously. Proper planning is important for data collection, including determining how, when, by whom, and where the data will be collected, as well as ensuring its accuracy.Nursing Research Level of Measurment.pptx
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The document discusses different levels of measurement for variables in research. There are four main levels: nominal, ordinal, interval, and ratio. Nominal measurement simply categorizes variables without implied ordering, like gender. Ordinal variables can be ordered but differences between values are not fixed, like disease severity. Interval variables have equal differences between all values but no absolute zero, like dates. Ratio variables have an absolute zero value and allow comparisons of differences, like weight. Knowing the level of measurement helps in interpreting data and choosing appropriate statistical analyses.Nursing Research Measurement errors.pptx
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This document discusses different types of errors that can occur in measurement. There are five main types of errors:
1) Gross errors are faults made by the person using the instrument, such as incorrect readings or recordings.
2) Systematic errors are due to problems with the instrument itself, environmental factors, or observational errors made by the observer.
3) Random errors remain after gross and systematic errors have been reduced and are due to unknown causes. Taking multiple readings and analyzing them statistically can help minimize random errors.
4) Absolute error is the difference between the expected and measured values.
5) Relative error expresses the error as a percentage of the real measurement.Nursing Research Measurement errors.pptx
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This document discusses different types of errors that can occur in measurement. There are five main types of errors:
1) Gross errors are faults made by the person using the instrument, such as incorrect readings or recordings.
2) Systematic errors are due to problems with the instrument itself, environmental factors, or observational errors made by the observer.
3) Random errors remain after gross and systematic errors have been reduced and are due to unknown causes. Taking multiple readings and analyzing them statistically can help minimize random errors.
4) Absolute error is the difference between the expected and measured values.
5) Relative error expresses the error as a percentage of the real measurement.Nursing Research Sampling errors.pptx
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Sampling is a technique used in research to select a subset of a population to make inferences about the whole population. Sampling error occurs when the characteristics estimated from the sample are different from the true population characteristics. There are also non-sampling errors including non-response error when selected units do not respond and response errors from factors like respondent errors in answering questions, interviewer bias, recording errors, and issues with questionnaire design. Methods to minimize sampling error include preparing an updated sampling frame, using appropriate probability sampling techniques, minimizing multi-stage sampling, using an appropriate sample size, and reducing attrition rates.Nursing Research Sampling Technique .pptx
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This document discusses various methods of sampling in research. It begins by defining sampling as selecting a portion of the population to represent the whole and notes its importance for statistical inferences. It then covers the purposes of sampling such as being economical and improving data quality. The document outlines characteristics of a good sample such as being representative and free from bias. It also discusses principles of sampling and the sampling process. The main types of sampling techniques for quantitative and qualitative research are described in detail, including probability, non-probability, and specific techniques within each. The strengths and weaknesses of different approaches are compared. Factors to consider for determining sample size and minimizing errors are also reviewed.Specific quantitative.pptx
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Experimental research designs aim to establish causal relationships by manipulating an independent variable and controlling other factors. True experimental designs use random assignment to control groups, with the experimental group receiving treatment and the control group not. Key true experimental designs include pre-test post-test control group design, post-test only control group design, Solomon four group design, factorial design, randomized block design, and crossover/repeated measures design. True experimental designs allow for strong conclusions but can be difficult to implement for human or natural setting studies due to ethical and practical challenges.Proposal Report Submition.pptx
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o Tissue processing
o Microtomy
o Staining
o Mounting
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The shoulder complex acts as in coordinated fashion to provide the smoothest and greatest range of motion possible of the upper limb.
Combined motion of GH and ST joint of shoulder complex helps in:
Distribution of motion between other two joints.
Maintenance of glenoid fossa in optimal position.
Maintenance of good length tension
Although some amount of glenohumeral motion may occur while the other shoulder articulations remain stabilized, movement of the humerus more commonly involves some movement at all three shoulder joints.
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- 58. •Thank you