My sincere thanks to: - Professor Dr. V.Suresh
Annamalai University
& world class one search engine, Google.com
World Top Professional Social Media, Linkedin.com
& World Top Intellectual Supporter, Slideshare.net
Pondicherry University 2016 Ph.D applied psychology entrance exam question pa...LAKSHMANAN S
My sincere thanks to: - Professor Dr. V.Suresh
Annamalai University
& world class one search engine, Google.com
World Top Professional Social Media, Linkedin.com
& World Top Intellectual Supporter, Slideshare.net
Pondicherry university 2015 m.sc. applied psychology entrance exam question p...LAKSHMANAN S
My sincere thanks to: - Professor Dr. V.Suresh
Annamalai University
& world class one search engine, Google.com
World Top Professional Social Media, Linkedin.com
& World Top Intellectual Supporter, Slideshare.net
Pondicherry university 2016 m.sc. applied psychology entrance exam question p...LAKSHMANAN S
My sincere thanks to: - Professor Dr. V.Suresh
Annamalai University
& world class one search engine, Google.com
World Top Professional Social Media, Linkedin.com
& World Top Intellectual Supporter, Slideshare.net
The Thematic Apperception Test (TAT) is a projective personality test developed in 1935 using cards with ambiguous images. Participants are asked to tell stories about each image to reveal their attitudes, wishes, and view of the world. Examiners analyze the content, tone, and structure of the stories to understand the test taker's personality. While criticized for being unscientific, the TAT is still used for research and assessing individuals for employment, forensic, and consumer behavior studies. Accurate interpretation requires considering the subject's background characteristics.
This document provides an overview of key concepts related to statistical estimation and hypothesis testing, including:
- The difference between point estimation and interval estimation, and examples like confidence intervals for the mean and proportion.
- How to calculate and interpret confidence intervals.
- The roles of the null and alternative hypotheses in hypothesis testing and how to interpret p-values.
- Types I and II errors and how the significance level affects these.
- When to use parametric vs. nonparametric tests and examples of selected nonparametric tests like the chi-square test of goodness of fit.
This document provides an overview and objectives of Chapter 1: Introduction to Statistics from an elementary statistics textbook. It covers key statistical concepts like data, population, sample, variables, and the two branches of statistics - descriptive and inferential. Potential pitfalls in statistical analysis like misleading conclusions, biased samples, and nonresponse are also discussed. Examples are provided to illustrate concepts like voluntary response samples, statistical versus practical significance, and interpreting correlation.
This document discusses nonresponse bias in surveys and methods for assessing its impact. It begins by explaining why low response rates can undermine survey validity and introduces techniques researchers have used to increase response rates over time. However, it argues that response rate alone is not a good indicator of bias; more important is understanding if and how nonrespondents differ from respondents. The document then presents the Nonresponse Bias Impact Assessment (N-BIAS) framework, which involves using multiple techniques like archival analysis, follow-ups, wave analysis, and others to evaluate nonresponse bias in a given study.
Pondicherry University 2016 Ph.D applied psychology entrance exam question pa...LAKSHMANAN S
My sincere thanks to: - Professor Dr. V.Suresh
Annamalai University
& world class one search engine, Google.com
World Top Professional Social Media, Linkedin.com
& World Top Intellectual Supporter, Slideshare.net
Pondicherry university 2015 m.sc. applied psychology entrance exam question p...LAKSHMANAN S
My sincere thanks to: - Professor Dr. V.Suresh
Annamalai University
& world class one search engine, Google.com
World Top Professional Social Media, Linkedin.com
& World Top Intellectual Supporter, Slideshare.net
Pondicherry university 2016 m.sc. applied psychology entrance exam question p...LAKSHMANAN S
My sincere thanks to: - Professor Dr. V.Suresh
Annamalai University
& world class one search engine, Google.com
World Top Professional Social Media, Linkedin.com
& World Top Intellectual Supporter, Slideshare.net
The Thematic Apperception Test (TAT) is a projective personality test developed in 1935 using cards with ambiguous images. Participants are asked to tell stories about each image to reveal their attitudes, wishes, and view of the world. Examiners analyze the content, tone, and structure of the stories to understand the test taker's personality. While criticized for being unscientific, the TAT is still used for research and assessing individuals for employment, forensic, and consumer behavior studies. Accurate interpretation requires considering the subject's background characteristics.
This document provides an overview of key concepts related to statistical estimation and hypothesis testing, including:
- The difference between point estimation and interval estimation, and examples like confidence intervals for the mean and proportion.
- How to calculate and interpret confidence intervals.
- The roles of the null and alternative hypotheses in hypothesis testing and how to interpret p-values.
- Types I and II errors and how the significance level affects these.
- When to use parametric vs. nonparametric tests and examples of selected nonparametric tests like the chi-square test of goodness of fit.
This document provides an overview and objectives of Chapter 1: Introduction to Statistics from an elementary statistics textbook. It covers key statistical concepts like data, population, sample, variables, and the two branches of statistics - descriptive and inferential. Potential pitfalls in statistical analysis like misleading conclusions, biased samples, and nonresponse are also discussed. Examples are provided to illustrate concepts like voluntary response samples, statistical versus practical significance, and interpreting correlation.
This document discusses nonresponse bias in surveys and methods for assessing its impact. It begins by explaining why low response rates can undermine survey validity and introduces techniques researchers have used to increase response rates over time. However, it argues that response rate alone is not a good indicator of bias; more important is understanding if and how nonrespondents differ from respondents. The document then presents the Nonresponse Bias Impact Assessment (N-BIAS) framework, which involves using multiple techniques like archival analysis, follow-ups, wave analysis, and others to evaluate nonresponse bias in a given study.
1. The document discusses research design and evidence-based medicine. It provides definitions of different types of studies including observational studies, experimental studies, randomized controlled trials, and systematic reviews.
2. Guidelines for evaluating levels of evidence and grading strength of recommendations are presented. Key resources for evidence-based medicine are also listed, including the Cochrane Collaboration.
3. The use of interstitial laser hyperthermia for the treatment of solid tumors like the pancreas is explored. Studies on this technique for fibroadenomas and human pancreatic tumors are summarized.
The document discusses research design and evidence-based medicine. It defines different types of studies including observational studies, experimental studies, randomized controlled trials, and systematic reviews. It also describes levels of evidence, grading of evidence and recommendations, and minimizing bias. Additionally, it lists several reliable evidence-based medicine resources for clinicians, including the Cochrane Collaboration, Bandolier, and DARE.
This is my statistics exam I need help I have been lost this whole s.docxdivinapavey
This is my statistics exam I need help I have been lost this whole semester
Identify each of the following as examples of nominal, ordinal, interval, or ratio scales of measurement.
1.Identify each of the following as examples of nominal, ordinal, interval, or ratio scales of measurement.
1. A poll of registered voters in Florida asking which candidate they support
2. The length of time required for a wound to heal when using a new medicine
3. The number of telephone calls arriving at a switchboard per five-minute period
4. The distance first-year college football players can kick a ball
5. Mental health diagnoses present in an elderly population
6. The rankings of employees on their job performance
2) Two hundred raffle tickets are sold. Your friend has five people in her family who each bought two raffle tickets. What is the probability that someone from her family will win the raffle?
3) Jolie has 45 minutes to do her statistics homework. If the mean is 38 minutes and the standard deviation is 3, calculate Jolie's z score. Once calculated, interpret your findings in terms of Jolie's performance.
4) . A psychologist measures units of change for a memory test after students are given an opportunity to sleep only four hours. The following change units were obtained: 7, -12, 4, -7, 3, -10. Find the a) mean, b) median, c) mode, d) standard deviation, e) range, and f) variance.
5) A student scored 81 on a chemistry test and 75 on a history test. For the chemistry test, the mean was 70 and the standard deviation was 20. For the history test, the mean was 65 and the standard deviation was 8. Did the student do better on the chemistry test or the history test? Explain your answer
6. Suppose you want to figure out what to do with your degree in psychology. You ask some fellow students from your psychology program who recently graduated to find out what they are doing with their degree and how much it pays. What type of sampling is this? What are the limitations of this sampling approach?
7. Variables in which the values are categories are known as)
Interval variables
Nominal variables
Ordinal variables
Ratio variables
8. Before the researcher can conduct a statistical test, the research question must be translated into
A testable hypothesis
Additional observations
Mathematical symbols
Numbers
9. The hypothesis stating that there are no differences, effects, or relationships is)
The alternative hypothesis
The baseline hypothesis
The null hypothesis
The reasonable hypothesis
10. A group of students made the following scores on a 10-item quiz in psychological statistics: {5, 6, 7, 7, 7, 8, 8, 9, 9, 10, 10} What is the mean score?
6.6
7.2
7.8
8.7
11. A group of students made the following scores on a 10-item quiz in psychological statistics: {5, 6, 7, 7, 7, 8, 8, 9, 9, 10, 10} What is the median score?
6
7
8
9
12. A group of students made the following scores on a 10-item quiz in psychological statistics: {5, 6, 7, 7, 7, 8, 8, 9, 9, 10, 1.
PUH 5302, Applied Biostatistics 1
Course Learning Outcomes for Unit III
Upon completion of this unit, students should be able to:
4. Recommend solutions to public health problems using biostatistical methods.
4.1 Compute and interpret probability for biostatistical analysis.
4.2 Draw conclusions about public health problems based on biostatistical methods.
5. Analyze public health information to interpret results of biostatistical analysis.
5.1 Analyze literature related to biostatistical analysis in the public health field.
5.2 Prepare an annotated bibliography that explores a topic related to public health issues.
Course/Unit
Learning Outcomes
Learning Activity
4.1
Unit Lesson
Chapter 5
Unit III Problem Solving
4.2
Unit Lesson
Chapter 5
Unit III Problem Solving
5.1
Chapter 5
Unit III Annotated Bibliography
5.2
Chapter 5
Unit III Annotated Bibliography
Reading Assignment
Chapter 5: The Role of Probability
Unit Lesson
Welcome to Unit III. In previous units, we discussed some fundamentals of biostatistics and their application
to solving public health problems. In Unit III, we will compute, interpret, and apply probability, especially in
relation to different populations.
Computing and Interpreting Probabilities
Probability means using a number (or numbers) to demonstrate how likely something is to occur. For
example, if a coin is tossed, the probability of getting a heads or tail is one out of two chances; that is ½.
Researchers have used probability studies to predict weather and other events and have been successful to
some extent. Public health professionals have used statistical methods to predict the chances of health-
related events, thereby providing arguments in favor of taking precautionary measures and warning the
general public on important health issues.
In biostatistics, we use both descriptive statistics and inferential statistics to address public health issues
within a population. In most cases, researchers are not able to study the entire population; they try to get a
sample from the population from which they can generalize their findings.
Descriptive Statistics
Aside from the use of probability sampling methods, there are other methods used for the computation and
interpretation of data; these are generally known as descriptive statistics. With descriptive statistics, we
UNIT III STUDY GUIDE
Probability
PUH 5302, Applied Biostatistics 2
UNIT x STUDY GUIDE
Title
normally compute the mean, mode, median, variance, and standard deviation. Information obtained using
such computation methods is used for descriptive purposes, as opposed to information obtained from
inferential statistics.
Let’s examine this example using the numbers 5, 10, 2, 4, 6, 10, 2, 3, and 2.
The mean is the sum of all the numbers ÷ the number of cases
= 37 ÷ 9
= 4.11
The median is the middle number after the numbers have been arranged in an ascending or descend ...
What can healthcare executives learn from military decision-making, as it relates to predictiveanalytics in healthcare? As it turns out, quite a lot. Dale Sanders, senior vice president for strategy at Salt Lake City, Utah-based Health Catalyst, drew some surprising parallels between these two vital sectors of the economy during a concluding session at the Plante Moran Healthcare Executive Summit on June 5 in Chicago. His main theme was to remember that in predictive analytic analytics, it's the intervention that matters, noting that much of the industry is seduced by flashy predictive analytics "objects" without thinking through the needed interventions which are needed to get the proper ROI.
This chapter presents the data collected from 110 senior high school students through a survey on their perceptions of online shopping. It includes demographic information on the respondents such as sex, academic strand, and weekly allowance. The respondents were majority female and from a STEM strand. On average, their weekly allowance was PhP635. Tables show data on respondents' level of agreement to statements regarding their perceptions of security, convenience, and quality of online shopping. In general, respondents agreed online shopping is secure and convenient but not that products are good quality. The chapter concludes there is no significant relationship between allowance and perceptions, and recommends online retailers improve product quality and future researchers examine relationships between perceptions and socioeconomic factors or test interventions.
This document discusses hypothesis testing and different types of statistical tests. It explains that hypothesis testing involves setting a null and alternative hypothesis, determining a significance level, choosing a test statistic, establishing a critical region, doing computations, and making a final decision. Errors can occur by incorrectly accepting or rejecting the null hypothesis. Parametric tests like the t-test, z-test, and ANOVA assume the data comes from a normal distribution, while non-parametric tests like the chi-square test and Mann-Whitney test make no assumptions about the distribution. The t-test can be used for samples less than 30 and comes in one sample, two independent sample, and paired sample versions.
This document provides an introduction to concepts in biostatistics and hypothesis testing. It outlines the objectives of learning about study design, types of data, hypothesis testing, p-values, and choosing appropriate statistical tests. It also describes office hours, topics beyond the scope of the class, and objectives for learning about stages of research studies, hypothesis tests, t-tests, and Wilcoxon tests.
This document provides an overview of research methods and biostatistics. It defines key terms like research, research methods, and statistical analysis. It describes different types of study designs including descriptive studies, analytical studies, experimental studies, and epidemiological study designs. It outlines the characteristics of observational studies like cross-sectional and case-control studies as well as experimental studies. It also discusses appropriate statistical tests to analyze different types of data and research problems. Finally, it lists some online resources and computer software that can be used in statistical analysis.
Here are my responses to the guide questions:
1. I decided to teach in SHS because I wanted to help guide students in their transition to college and career. I find it rewarding to support students' personal and academic growth during this important stage of their lives.
2. Two of the most significant experiences I've had teaching Research involve seeing students get excited about their topics and taking ownership of their work. It's amazing to see their eyes light up when they discover something interesting during the research process. I also appreciate witnessing students' confidence grow as they learn to independently plan and conduct research. These experiences are meaningful because they show the positive impact of research skills on student learning and development.
3. One of my most
Novelties in social science statisticsJiri Haviger
Jiří Haviger from the University of Hradec Kralove discusses key topics in social science statistics including:
1) Determining sample size by specifying the acceptable type I error rate (α), power (1- β), and estimated effect size to calculate the required sample size.
2) Using machine learning in social research for prediction rather than theory testing, with supervised models trained on data and evaluated on held-out samples.
3) Structural equation modeling to evaluate theoretical models describing relationships between observed and latent variables, with software like JASP used to estimate models and evaluate fit.
This document provides an overview of cross-sectional studies. It defines cross-sectional studies as studies that measure prevalence by observing exposures and outcomes in a population at a single point in time. It discusses key aspects of cross-sectional study design such as sampling, data collection methods, analysis of prevalence data, and potential biases like selection bias.
This document provides an overview of cross-sectional studies, including what they are, their uses, methodology, advantages, and disadvantages. A cross-sectional study involves observing a population at a single point in time to determine prevalence of disease. It is a quick and inexpensive way to describe characteristics of a population and identify associations between variables. However, it cannot determine causation due to its observational nature.
2019/ 10/ 3 Originality Report
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Homework statistics
Title: Homework statistics chapter 7
Name: Date:
Introduction: The most usual applications of Statistics is describing a set of data descriptive statistics, regression, and
hypothesis testing and inferential statistics. The two main branches are descriptive and inferential statistics. People who do not
have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics. Descriptive
Statistics Definition
The descriptive statistics is the type of statistical analysis which helps to describes about the data in some meaningful way. The
statistics is used to describe quantitatively about the important features of the data or information. The descriptive statistics
gives the summaries of the given sample as well as the observations done. These summaries or descriptions can either be
graphical or quantitative. Inferential Statistics Definition
Inferential statistics is the type of statistics which deals with making conclusions. It inferences about the predictions for the
population. It also analyses the sample. Basically, the inferential statistics is the procedure of drawing predictions and
conclusions about the given data which is subjected to the random variations. Inferential statistics includes detection and
prediction of observational and sampling errors. This type of statistics is being utilized in order to make estimates and test the
hypotheses using given data. There are two major divisions of inferential statistics: 1) Confidence Interval: The
confidence interval is represented in the form of an interval that provides a range for the parameter of given population. 2)
Hypothesis Test: Hypothesis tests are also known as tests of significance which tests some claim for the population by analyzing
sample. In this pape ...
HCS131 v7Effective Consumer RelationsHCS131 v7Page 2 of 2.docxshericehewat
Incidence and prevalence provide different information about disease burden in populations. Incidence refers to the number of new cases that develop over a specific period of time, such as per year. A higher incidence means more people are newly developing the disease. Prevalence refers to the total number of existing cases at a point in time, including both new and existing cases. A higher prevalence means more people currently have the disease. Differences in incidence between populations could be due to differences in exposure to risk factors for the disease. Differences in prevalence could be due to differences in incidence, mortality rates, or average duration of the disease between populations.
This document discusses research methodology and how it can be applied to homeopathy. It defines different types of study designs including observational studies, treatment studies, randomized controlled trials, and meta-analyses. It explains how to apply these research methodologies to homeopathy through drug provings, clinical research studies, and disease-related studies while respecting homeopathic principles. Randomized controlled trials and meta-analyses are important for providing evidence but must be designed carefully to fit within homeopathic individualization and philosophy.
Pondicherry University 2020 M.Sc. Applied Psychology entrance exam question p...LAKSHMANAN S
This document contains 53 multiple choice questions related to psychology. The questions cover topics such as theories and theorists in psychology, research methods, learning, cognition, social psychology, psychopathology, and therapies. For each question there are 4 answer options and the correct answer is worth 4 marks with a negative marking of 1 for an incorrect response.
More Related Content
Similar to Pondicherry university 2015 Ph.D Applied Psychology entrance exam question paper solved by S.Lakshmanan, Psychologist
1. The document discusses research design and evidence-based medicine. It provides definitions of different types of studies including observational studies, experimental studies, randomized controlled trials, and systematic reviews.
2. Guidelines for evaluating levels of evidence and grading strength of recommendations are presented. Key resources for evidence-based medicine are also listed, including the Cochrane Collaboration.
3. The use of interstitial laser hyperthermia for the treatment of solid tumors like the pancreas is explored. Studies on this technique for fibroadenomas and human pancreatic tumors are summarized.
The document discusses research design and evidence-based medicine. It defines different types of studies including observational studies, experimental studies, randomized controlled trials, and systematic reviews. It also describes levels of evidence, grading of evidence and recommendations, and minimizing bias. Additionally, it lists several reliable evidence-based medicine resources for clinicians, including the Cochrane Collaboration, Bandolier, and DARE.
This is my statistics exam I need help I have been lost this whole s.docxdivinapavey
This is my statistics exam I need help I have been lost this whole semester
Identify each of the following as examples of nominal, ordinal, interval, or ratio scales of measurement.
1.Identify each of the following as examples of nominal, ordinal, interval, or ratio scales of measurement.
1. A poll of registered voters in Florida asking which candidate they support
2. The length of time required for a wound to heal when using a new medicine
3. The number of telephone calls arriving at a switchboard per five-minute period
4. The distance first-year college football players can kick a ball
5. Mental health diagnoses present in an elderly population
6. The rankings of employees on their job performance
2) Two hundred raffle tickets are sold. Your friend has five people in her family who each bought two raffle tickets. What is the probability that someone from her family will win the raffle?
3) Jolie has 45 minutes to do her statistics homework. If the mean is 38 minutes and the standard deviation is 3, calculate Jolie's z score. Once calculated, interpret your findings in terms of Jolie's performance.
4) . A psychologist measures units of change for a memory test after students are given an opportunity to sleep only four hours. The following change units were obtained: 7, -12, 4, -7, 3, -10. Find the a) mean, b) median, c) mode, d) standard deviation, e) range, and f) variance.
5) A student scored 81 on a chemistry test and 75 on a history test. For the chemistry test, the mean was 70 and the standard deviation was 20. For the history test, the mean was 65 and the standard deviation was 8. Did the student do better on the chemistry test or the history test? Explain your answer
6. Suppose you want to figure out what to do with your degree in psychology. You ask some fellow students from your psychology program who recently graduated to find out what they are doing with their degree and how much it pays. What type of sampling is this? What are the limitations of this sampling approach?
7. Variables in which the values are categories are known as)
Interval variables
Nominal variables
Ordinal variables
Ratio variables
8. Before the researcher can conduct a statistical test, the research question must be translated into
A testable hypothesis
Additional observations
Mathematical symbols
Numbers
9. The hypothesis stating that there are no differences, effects, or relationships is)
The alternative hypothesis
The baseline hypothesis
The null hypothesis
The reasonable hypothesis
10. A group of students made the following scores on a 10-item quiz in psychological statistics: {5, 6, 7, 7, 7, 8, 8, 9, 9, 10, 10} What is the mean score?
6.6
7.2
7.8
8.7
11. A group of students made the following scores on a 10-item quiz in psychological statistics: {5, 6, 7, 7, 7, 8, 8, 9, 9, 10, 10} What is the median score?
6
7
8
9
12. A group of students made the following scores on a 10-item quiz in psychological statistics: {5, 6, 7, 7, 7, 8, 8, 9, 9, 10, 1.
PUH 5302, Applied Biostatistics 1
Course Learning Outcomes for Unit III
Upon completion of this unit, students should be able to:
4. Recommend solutions to public health problems using biostatistical methods.
4.1 Compute and interpret probability for biostatistical analysis.
4.2 Draw conclusions about public health problems based on biostatistical methods.
5. Analyze public health information to interpret results of biostatistical analysis.
5.1 Analyze literature related to biostatistical analysis in the public health field.
5.2 Prepare an annotated bibliography that explores a topic related to public health issues.
Course/Unit
Learning Outcomes
Learning Activity
4.1
Unit Lesson
Chapter 5
Unit III Problem Solving
4.2
Unit Lesson
Chapter 5
Unit III Problem Solving
5.1
Chapter 5
Unit III Annotated Bibliography
5.2
Chapter 5
Unit III Annotated Bibliography
Reading Assignment
Chapter 5: The Role of Probability
Unit Lesson
Welcome to Unit III. In previous units, we discussed some fundamentals of biostatistics and their application
to solving public health problems. In Unit III, we will compute, interpret, and apply probability, especially in
relation to different populations.
Computing and Interpreting Probabilities
Probability means using a number (or numbers) to demonstrate how likely something is to occur. For
example, if a coin is tossed, the probability of getting a heads or tail is one out of two chances; that is ½.
Researchers have used probability studies to predict weather and other events and have been successful to
some extent. Public health professionals have used statistical methods to predict the chances of health-
related events, thereby providing arguments in favor of taking precautionary measures and warning the
general public on important health issues.
In biostatistics, we use both descriptive statistics and inferential statistics to address public health issues
within a population. In most cases, researchers are not able to study the entire population; they try to get a
sample from the population from which they can generalize their findings.
Descriptive Statistics
Aside from the use of probability sampling methods, there are other methods used for the computation and
interpretation of data; these are generally known as descriptive statistics. With descriptive statistics, we
UNIT III STUDY GUIDE
Probability
PUH 5302, Applied Biostatistics 2
UNIT x STUDY GUIDE
Title
normally compute the mean, mode, median, variance, and standard deviation. Information obtained using
such computation methods is used for descriptive purposes, as opposed to information obtained from
inferential statistics.
Let’s examine this example using the numbers 5, 10, 2, 4, 6, 10, 2, 3, and 2.
The mean is the sum of all the numbers ÷ the number of cases
= 37 ÷ 9
= 4.11
The median is the middle number after the numbers have been arranged in an ascending or descend ...
What can healthcare executives learn from military decision-making, as it relates to predictiveanalytics in healthcare? As it turns out, quite a lot. Dale Sanders, senior vice president for strategy at Salt Lake City, Utah-based Health Catalyst, drew some surprising parallels between these two vital sectors of the economy during a concluding session at the Plante Moran Healthcare Executive Summit on June 5 in Chicago. His main theme was to remember that in predictive analytic analytics, it's the intervention that matters, noting that much of the industry is seduced by flashy predictive analytics "objects" without thinking through the needed interventions which are needed to get the proper ROI.
This chapter presents the data collected from 110 senior high school students through a survey on their perceptions of online shopping. It includes demographic information on the respondents such as sex, academic strand, and weekly allowance. The respondents were majority female and from a STEM strand. On average, their weekly allowance was PhP635. Tables show data on respondents' level of agreement to statements regarding their perceptions of security, convenience, and quality of online shopping. In general, respondents agreed online shopping is secure and convenient but not that products are good quality. The chapter concludes there is no significant relationship between allowance and perceptions, and recommends online retailers improve product quality and future researchers examine relationships between perceptions and socioeconomic factors or test interventions.
This document discusses hypothesis testing and different types of statistical tests. It explains that hypothesis testing involves setting a null and alternative hypothesis, determining a significance level, choosing a test statistic, establishing a critical region, doing computations, and making a final decision. Errors can occur by incorrectly accepting or rejecting the null hypothesis. Parametric tests like the t-test, z-test, and ANOVA assume the data comes from a normal distribution, while non-parametric tests like the chi-square test and Mann-Whitney test make no assumptions about the distribution. The t-test can be used for samples less than 30 and comes in one sample, two independent sample, and paired sample versions.
This document provides an introduction to concepts in biostatistics and hypothesis testing. It outlines the objectives of learning about study design, types of data, hypothesis testing, p-values, and choosing appropriate statistical tests. It also describes office hours, topics beyond the scope of the class, and objectives for learning about stages of research studies, hypothesis tests, t-tests, and Wilcoxon tests.
This document provides an overview of research methods and biostatistics. It defines key terms like research, research methods, and statistical analysis. It describes different types of study designs including descriptive studies, analytical studies, experimental studies, and epidemiological study designs. It outlines the characteristics of observational studies like cross-sectional and case-control studies as well as experimental studies. It also discusses appropriate statistical tests to analyze different types of data and research problems. Finally, it lists some online resources and computer software that can be used in statistical analysis.
Here are my responses to the guide questions:
1. I decided to teach in SHS because I wanted to help guide students in their transition to college and career. I find it rewarding to support students' personal and academic growth during this important stage of their lives.
2. Two of the most significant experiences I've had teaching Research involve seeing students get excited about their topics and taking ownership of their work. It's amazing to see their eyes light up when they discover something interesting during the research process. I also appreciate witnessing students' confidence grow as they learn to independently plan and conduct research. These experiences are meaningful because they show the positive impact of research skills on student learning and development.
3. One of my most
Novelties in social science statisticsJiri Haviger
Jiří Haviger from the University of Hradec Kralove discusses key topics in social science statistics including:
1) Determining sample size by specifying the acceptable type I error rate (α), power (1- β), and estimated effect size to calculate the required sample size.
2) Using machine learning in social research for prediction rather than theory testing, with supervised models trained on data and evaluated on held-out samples.
3) Structural equation modeling to evaluate theoretical models describing relationships between observed and latent variables, with software like JASP used to estimate models and evaluate fit.
This document provides an overview of cross-sectional studies. It defines cross-sectional studies as studies that measure prevalence by observing exposures and outcomes in a population at a single point in time. It discusses key aspects of cross-sectional study design such as sampling, data collection methods, analysis of prevalence data, and potential biases like selection bias.
This document provides an overview of cross-sectional studies, including what they are, their uses, methodology, advantages, and disadvantages. A cross-sectional study involves observing a population at a single point in time to determine prevalence of disease. It is a quick and inexpensive way to describe characteristics of a population and identify associations between variables. However, it cannot determine causation due to its observational nature.
2019/ 10/ 3 Originality Report
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Homework statistics
Title: Homework statistics chapter 7
Name: Date:
Introduction: The most usual applications of Statistics is describing a set of data descriptive statistics, regression, and
hypothesis testing and inferential statistics. The two main branches are descriptive and inferential statistics. People who do not
have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics. Descriptive
Statistics Definition
The descriptive statistics is the type of statistical analysis which helps to describes about the data in some meaningful way. The
statistics is used to describe quantitatively about the important features of the data or information. The descriptive statistics
gives the summaries of the given sample as well as the observations done. These summaries or descriptions can either be
graphical or quantitative. Inferential Statistics Definition
Inferential statistics is the type of statistics which deals with making conclusions. It inferences about the predictions for the
population. It also analyses the sample. Basically, the inferential statistics is the procedure of drawing predictions and
conclusions about the given data which is subjected to the random variations. Inferential statistics includes detection and
prediction of observational and sampling errors. This type of statistics is being utilized in order to make estimates and test the
hypotheses using given data. There are two major divisions of inferential statistics: 1) Confidence Interval: The
confidence interval is represented in the form of an interval that provides a range for the parameter of given population. 2)
Hypothesis Test: Hypothesis tests are also known as tests of significance which tests some claim for the population by analyzing
sample. In this pape ...
HCS131 v7Effective Consumer RelationsHCS131 v7Page 2 of 2.docxshericehewat
Incidence and prevalence provide different information about disease burden in populations. Incidence refers to the number of new cases that develop over a specific period of time, such as per year. A higher incidence means more people are newly developing the disease. Prevalence refers to the total number of existing cases at a point in time, including both new and existing cases. A higher prevalence means more people currently have the disease. Differences in incidence between populations could be due to differences in exposure to risk factors for the disease. Differences in prevalence could be due to differences in incidence, mortality rates, or average duration of the disease between populations.
This document discusses research methodology and how it can be applied to homeopathy. It defines different types of study designs including observational studies, treatment studies, randomized controlled trials, and meta-analyses. It explains how to apply these research methodologies to homeopathy through drug provings, clinical research studies, and disease-related studies while respecting homeopathic principles. Randomized controlled trials and meta-analyses are important for providing evidence but must be designed carefully to fit within homeopathic individualization and philosophy.
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Rotter's Locus of Control explained in Tamil by S. Lakshmanan, PsychologistLAKSHMANAN S
1954 ஆம் ஆண்டு ஜூலியன் ரோட்டரால் லோக்கஸ் ஆஃப் கன்ட்ரோல் உருவாக்கப்பட்டது. கட்டுப்பாடு என்பது தங்களுக்குள்ளேயே அல்லது வெளிப்புறமாக மற்றவர்களுடன் அல்லது சூழ்நிலையில் உள்ளது என்று நம்பும் மக்களின் போக்கை இது கருதுகிறது.
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Pondicherry university 2015 Ph.D Applied Psychology entrance exam question paper solved by S.Lakshmanan, Psychologist
1. PU Ph D Applied Psychology
1 of 100
213 PU_2015_157
A number calculated with complete population data and quantifies a characteristic of the population is
called as ____________.
Datum
Parameter
Population
Statistic
2 of 100
105 PU_2015_157
Any deception involved in the experiment is explained to participants:-
before they agree to participate in the experiment
in the informed consent
during the experimental session
in the debriefing session
3 of 100
184 PU_2015_157
Motive for manipulation is a:-
Secondary motive
Primary motive
Tertiary
General motive
4 of 100
128 PU_2015_157
Bogus Pipeline is used for measuring:-
Cognitive Dissonance
Attitude
Persuasion
Personality
5 of 100
193 PU_2015_157
Maximum resources are used at which stage of the General Adaptation Syndrome model?
Exhaustion stage
Resistance stage
Preliminary stage
2. Alarm stage
6 of 100
204 PU_2015_157
Among the following, which can be considered as a categorical variable?
annual income
age
Gender
grade point average
7 of 100
110 PU_2015_157
___________ refers to research in which the observer becomes part of the group being studied.
Participant observation
correlational research
Naturalistic observation
archival research
8 of 100
178 PU_2015_157
Which of the following method is the most quantitative method of Job Evaluation?
Factor Comparison
Ranking
Point Ranking
Classification Method
9 of 100
205 PU_2015_157
The strongest evidence for causality comes from which of the following research methods?
Correlational
Ethnography
Experimental
Causal-comparative
10 of 100
169 PU_2015_157
Central Executive which is hypothised to focus attention during information processing is a part of:-
Sensory memory
Short term Memory
Long Term Memory
3. Working Memory
11 of 100
177 PU_2015_157
Which of the following method of Performance Appraisal is based upon the principle of normal
distribution?
Critical Incident Method
360 Degree feedback method
Checklist Method
Forced Distribution Method
12 of 100
139 PU_2015_157
Individuals who are good at understanding and communicating with others are higher at which type of
intelligence?
Naturalistic
Intrapersonal
Interpersonal
Linguistic
13 of 100
192 PU_2015_157
Humanistic perspective of psychology focuses upon:-
Inherited tendencies
Unconscious process
Cultural factors
Personal growth
14 of 100
100 PU_2015_157
Which of the following is the first step in a research process?
coming up with the hypothesis
conducting the experiment
data analysis
conducting the literature review
15 of 100
159 PU_2015_157
The number that shows a score's deviation from the mean in standard deviation units is called:-
U score
T score
4. Z score
X score
16 of 100
189 PU_2015_157
Need for self-understanding, as per the expanded model of Maslow's need hierarchy, is part of
___________.
Cognitive need
Aesthetic need
Self-Actualization need
Esteem need
17 of 100
129 PU_2015_157
Which Personality Disorder show dramatic, emotional and erratic personality?
Paranoid PD
Borderline PD
Dependent PD
OCPD
18 of 100
211 PU_2015_157
Which among the following sampling technique will give a more accurate representation of the
population?
A small sample based on simple random sampling
A large sample based on the convenience sampling technique
A large sample based on simple random sampling
A small cluster sample
19 of 100
166 PU_2015_157
Variables that invalidate a study are called:-
Contigent variables
Contaminating variable
Categorical variables
Independent variable
20 of 100
209 PU_2015_157
Among the following, which technique would yield a simple random sample?
5. Numbering all the elements of a sampling frame and then using a random number table to pick cases
from the table
Choosing students from a particular class room to participate
Listing the individuals by department wise and choosing a proportion from within each department at
random
Randomly selecting classes, and then sampling everyone within the class
21 of 100
154 PU_2015_157
Which of the following is a parametric test?
Sign test
U test
T test
Chi-square
22 of 100
157 PU_2015_157
F ratio is a part of which of the following statistics?
T-test
Pearson correlation coefficient
Chi-square
ANOVA
23 of 100
123 PU_2015_157
The Minnesota Multiphasic Personality Inventory – 2 was developed using a method called:-
factor analysis
empirical keying
multiple regression
structural equation modelling
24 of 100
156 PU_2015_157
Subset of a population is called:-
Parameter
Sample
Populace
Statistic
25 of 100
6. 208 PU_2015_157
Open-ended questions generally provide ______ data.
Quantitative
Confirmatory
Correlational
Qualitative
26 of 100
190 PU_2015_157
Self-Determination theory was propounded by __________.
Carruthers and Hood
Fromm
Ryff and Singer
Ryan and Decci
27 of 100
185 PU_2015_157
Which of the following psychologist advocated Nurturant- Task theory for leadership?
JBP Sinhna
Iswar Dayal
RC Tripathi
Uday Pareek
28 of 100
140 PU_2015_157
A problem solving strategy where individuals produce numerous ideas and evaluate them only after all
ideas have been collected is:-
Functional analysis
Brainstorming
Convergent thinking
Deductive thinking
29 of 100
183 PU_2015_157
In which of the following group decision making method there is no face-to-face interaction at all among
the group members?
Brainstorming
Nominal Group Technique
Delphi Technique
Interactive Group Technique
7. 30 of 100
167 PU_2015_157
An ABAB design is also known as:-
Reversal design
Backward design
Forward design
Experimental design
31 of 100
127 PU_2015_157
Which is not a cause of Memory Distortion?
Motives
Schemas
Source monitoring
Reality monitoring
32 of 100
106 PU_2015_157
Rotter's social learning theory emphasizes the following:-
Behavioral potential
motivation
A reinterpretation of Freud's theory
expectancy
33 of 100
111 PU_2015_157
Quantitative research is more concerned with __________ and qualitative research is more concerned
with _________.
details and emotions; generalities
generalities; interobserver reliability
generalities; details and emotions
grounded theory; logic
34 of 100
141 PU_2015_157
Which of the following monitor blood and oxygen flow in the brain to identify areas of high activity?
FMRI
EEG
CAT
8. ECG
35 of 100
215 PU_2015_157
How many dependent variables are used in multiple regression?
Two
One
Three
Above four
36 of 100
218 PU_2015_157
________ is the standard deviation of a sampling distribution.
Sample standard deviation
Replication error
Standard error
Meta error
37 of 100
147 PU_2015_157
Which one of the following choices gives a correct example of a poly-genetic trait with the correct reason?
A zygote; created by the union of a sperm and egg, both of which have 23 chromosomes each
Skin color; inherited down generations
A carrier of a disease; the person received one gene from one parent, and a different one from the
other, making the two genes in a specific pair different.
Eye color; affected by numerous genes
38 of 100
206 PU_2015_157
Among the following, which correlation has the strongest value?
-1.00
-.93
+.94
+.20
39 of 100
138 PU_2015_157
The phrase "know thyself" reflects which type of knowledge?
Intrapersonal
Interpersonal
9. Naturalistic
Linguistic
40 of 100
212 PU_2015_157
Among the following sampling techniques, in which, does the researcher might ask the research
participants to identify other potential participants?
Quota
Snowball
Purposive
Convenience
41 of 100
216 PU_2015_157
Partial correlation analysis involves:-
Matching participants on potential confounding variables
Examining the relationship between two or more variables controlling for additional variables
statistically
Including only one group in a correlational analysis
Limiting the sample to individuals at a constant level of an extraneous variable
42 of 100
197 PU_2015_157
Which among the following is a form of research typically conducted by teachers, counselors, and other
professionals to answer questions they have and to specifically help them solve local problems?
Action research
Pure research
Basic research
Predictive research
43 of 100
207 PU_2015_157
Among the following, which can be described as data that were originally collected at an earlier time by a
different person for a different purpose?
Field notes
Secondary data
Experimental data
Primary data
44 of 100
170 PU_2015_157
Whorf's hypothesis that language determines the way we think is called:-
10. Linguistic Deductionism
Linguistic Determinism
Linguistic Reductionism
Linguistic Connectionism
45 of 100
137 PU_2015_157
The basic conflict during adolescence according to Erikson's theory is:-
Initiative vs guilt
Identity vs role confusion
Trust vs mistrust
Intimacy vs isolation
46 of 100
191 PU_2015_157
Which of the following is called poor man's stratified sampling?
Purposive sampling
Cluster sampling
Quota sampling
Simple random sampling
47 of 100
155 PU_2015_157
Which of the following is a non parametric test?
ANOVA
Chi-square test
T test
Pearson correlation
48 of 100
210 PU_2015_157
Among the following which analysis is more suitable when the dependent variable is measured as
categories?
Factor analysis
Regression analysis
Discriminant analysis
Structural analysis
49 of 100
198 PU_2015_157
11. The development of a solid foundation of reliable knowledge typically is built from which type of research?
Action research
Basic research
Orientational research
Evaluation research
50 of 100
124 PU_2015_157
Dichotic listening has been used extensively as an experimental technique in the study of:-
Selective attention
Ponzo illusion
Memory
Transposition
51 of 100
143 PU_2015_157
Neurotransmitters drift away after being released into the synaptic cleft and some are inactivated by
enzymes. Some are reabsorbed into the pre-synaptic neuron. This process is called:-
Reionize
Reuptake
Recycle
Reabsorb
52 of 100
116 PU_2015_157
________ validity refers to the degree to which the score on a test corresponds with another measure of
the designated trait.
content
concurrent
criterion
split-half
53 of 100
217 PU_2015_157
GLM refers to which of the following?
General Logit Model
General Lab Model
General Linear Model
General Limited Model
12. 54 of 100
168 PU_2015_157
Law of effect in the context of learning was given by:-
Tolman
Skinner
Pavlov
Thorndike
55 of 100
104 PU_2015_157
Reasoning that proceeds from specific cases to general theories is referred to as:-
the principle of falsifiability
serendipity
inductive logic
deductive logic
56 of 100
219 PU_2015_157
A post hoc test is ____________.
A test to determine regression to the mean
A follow-up test to the analysis of variance when there are three or more groups
A follow-up test to the independent t-test
A test to compare two or more means
57 of 100
142 PU_2015_157
The neural impulse is fired in the pre-synaptic neuron:-
When a lot of excitatory PSP builds up
When the charge of the neuron reaches -70 mill volts
When a lot of inhibitory PSP builds up
When sodium ions rush in at stimulation and create an action potential
58 of 100
182 PU_2015_157
Which of the following communication networks permit all group members to actively communicate with
each other?
Wheel
All-Channel
Grapevine
Chain
13. 59 of 100
202 PU_2015_157
Among the following, identify the research paradigm which is least concerned about generalizing its
findings?
Quantitative research
Mixed research
Experiments
Qualitative research
60 of 100
203 PU_2015_157
What is the key characteristic feature of experimental research?
extraneous variables are never present
a negative correlation among variables
a positive correlation among variables
manipulation of the independent variable
61 of 100
222 PU_2015_157
A fundamental assumption of chi square test is that no more than ________ % of cells can have an
expected frequency of less than _______.
5; n
4; 1
75; 95
25; 5
62 of 100
229 PU_2015_157
Split brain surgery is performed to prevent which of the following?
Impaired motor skills
Epileptic seizures
Autism
Strokes
63 of 100
254 PU_2015_157
In experimental research, the primary goal is to isolate and identify the effect produced by the
__________.
Extraneous variable
Dependent variable
14. Confounding variable
Independent variable
64 of 100
234 PU_2015_157
Removal or destruction of brain tissue in a surgical procedure is called:-
Lobotomy
Ablation
Dissection
Excoriation
65 of 100
237 PU_2015_157
According to Piaget, the inability of a child to take other's perspectives into consideration is called:-
Selfish thought
Eccentric Thought
Intuitive thought
Egocentric Thought
66 of 100
235 PU_2015_157
Deep sleep, slow delta waves, bedwetting & sleepwalking occur at which stage of sleep?
Stage 2
Stage 3
Stage 1
Stage 4
67 of 100
236 PU_2015_157
Two factor theory of Emotion was given by:-
Zajonc –Lazarus
Scachter-Singer
Canon-Bard
James-Lange
68 of 100
220 PU_2015_157
History effects are associated with:-
criterion validity
split-half reliability
15. test-retest reliability
content validity
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247 PU_2015_157
If a test consists of very difficult items, then the scores from a sample will have _________ distribution.
Positively skewed
Leptokurtic
Negatively skewed
Platykurtic
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When a extraneous variable systematically varies with the independent variable and influences the
dependent variable, it is known as:-
Unreliable variable
Reliable variable
Confounding variable
Second dependent variable
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The support that is provided to children so that they reach their maximum potential is called:-
Servicing
Shouting
Scouting
Scaffolding
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In problem solving, trial and error works best when:-
There are many unambiguous choices
There is unlimited number of choices
There are many ambiguous choices
There are only a limited number of choices
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World Mental Health Day is observed on _____.
December 10
16. October 10
September 10
November 10
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231 PU_2015_157
Thinking is a synonym for:-
Sensation
Learning
Perception
Cognition
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253 PU_2015_157
Which of the following is NOT a type of reliability?
Internal consistency
Test-retest
Split-half
Content
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Crowd behavior can be best studied through the method of _______.
Case history,
Survey research
Observation
Experimentation
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221 PU_2015_157
What is Cramer's V used for?
Cramer's V is used instead of χ
2
in analysis which are bigger than 2×2
Cramer's V is a way of reporting the ratio between the observed and expected scores
Cramer's V is used when assumptions for conducting chi square are violated
Cramer's V is a measure of effect used for tests of association
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Rating different choices on each of several criteria in decision making is known as:-
Functional elasticity
17. Means-ends analysis
Non binding modeling
Compensatory modeling
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"Childhood anxiety triggers our desire for love and security" was said by:-
Alfred Adler
Heinz Kohut
Karen Horney
Anna Freud
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Sound heard in the left ear is registered:-
Only in the right hemisphere
Faster in the right hemisphere
Both hemispheres at an equal pace
Faster in the left hemisphere
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False positive errors:-
are in inverse proportion to false negative errors
are unlikely in most practical situations where tests are employed
should invariably be minimized
may be less costly in some situations than false negative errors
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Who among the following is a central figure in Family Therapy?
Virginia Satir
Richard Bandler
Viktor Frankl
Karen Horney
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298 PU_2015_157
Among the following which is not an Experiential Training activity?
Role play
18. Sensitivity training
Internship
Audio visual learning
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264 PU_2015_157
In computing item discrimination indices, the best strategy from a statistical point of view is to compare:-
upper 27% versus the lower 27%
those above the median versus those below
"A" students versus failing students
those with delta scores of above 50 versus below 50
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262 PU_2015_157
Tacit knowledge is:-
declarative knowledge gained through instruction
knowledge of how to do well on tests
knowledge of tacits
procedural knowledge gained through experience
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Cross-cultural guidelines for how and when to express emotions are called:-
Cultural relativity
Emblems
Display rules
Cultural sensitivity
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The tendency to view outcomes as inevitable and predictable after we already know the outcome is
known as:-
Framing
Confirmation bias
Hindsight Bias
Counterfactual thinking
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Different languages predispose those individuals who speak to them to think about the world in different
ways is a proposition by:-
19. Jacques Lacan
Benjamin Whorf
Noam Chomsky
Skinner
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Long term potentiation refers to:-
The impact of overlearning on retention
An automatic tendency to recall emotionally significant events
An increased neural readiness for impulse transmission
The relatively permanent and limitless storehouse of memory system
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Which of the following is an important concept of Gestalt therapy?
Cognizance
Unfinished business
Ultimate meanings
Existential dilemma
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Which of the following is not necessary for the construction of a questionnaire?
Validity
Reliability
Difficulty Index
Discrimination Index
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269 PU_2015_157
"I'm crying, so I must be sad" best relate to theory of emotion proposed by:-
Canon-Bard
Schacter-Singer
James-Lange
Lazarus
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281 PU_2015_157
Albert Ellis was the founder of which of the following therapies:-
20. Solution-Focussed Therapy
REBT
Cognitive therapy
Depression Therapy
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Item-generation techniques are easy to apply to:-
figural ability items
open-ended questions
verbal items
projective tests
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Insisting on just the opposite of what one wants is called:-
Projection
Paradoxing
Relabeling
Prescribing the symptom
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The type of power which originates from the obligation of the individual to accept the leader and be
influenced is _________ power.
Legitimate
Coercive
Referent
Reward
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According to classical test score theory, what happens to the true score variance as error in a measure
increases?
it increases
classical test score theory makes no statement on this point
it decreases
it remains constant
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The process of being in contact and emotionally separate from others is known as:-
Triangulation
Differentiation
Detriangulation
Coaliations
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Shame Attacking exercise is used in ________ therapy.
Systematic Desensitisation
Aversion Therapy
REBT
CBT
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As per the Max-min-con principle, research design attempts to minimize _____________ variance.
Systematic variance
Error Variance
Extraneous variance
True variance