Are you over 18 and want to see adult content?
More Annotations
A complete backup of https://www.descargasnsn.com/tags/Data%20science/
Are you over 18 and want to see adult content?
A complete backup of https://www.pinterest.com/pin/206391595398577590/
Are you over 18 and want to see adult content?
A complete backup of https://7slotsonline.blogspot.com/
Are you over 18 and want to see adult content?
A complete backup of https://www.urajp.eu/category/urahon/page/1637/
Are you over 18 and want to see adult content?
A complete backup of https://www.last.fm/music/myzcloud.me
Are you over 18 and want to see adult content?
A complete backup of https://tl.rulate.ru/book/38333
Are you over 18 and want to see adult content?
A complete backup of http://cybercity-online.net/4u/worldtrade.html
Are you over 18 and want to see adult content?
Favourite Annotations
A complete backup of escolavizzotto.com.br
Are you over 18 and want to see adult content?
A complete backup of best-russian-women.com
Are you over 18 and want to see adult content?
A complete backup of northshorejapanese.com
Are you over 18 and want to see adult content?
A complete backup of coylehospitality.com
Are you over 18 and want to see adult content?
Text
PROJECTGURU.IN
HOW TO DO THE CORRELATION ANALYSIS IN STATA? The basic code for pairwise Correlation is: pwcorr VariableA VariableB. In case one wants STATA to produce a p-value (statistically significance level), one needs to add sig, at the end of the command like shown below: pwcorr VariableA VariableB, sig. In case the researcher wants to determine if the results are significant at aspecific
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). PROFESSIONAL TEAM OF HIGHLY EXPERIENCED RESEARCH ANALYSTSKNOWLEDGE TANKSERVICESHELPEXPERTSINSIGHTSINDUSTRIES We are a team of well-qualified research analysts, driven by research and creativity, to help you make informed decisions. As an effective team, we piece together information from various credible sources to assess threats, challenges, and opportunities. We work through a range of research methods and easily adapt to complexities. DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATA Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant WHAT IS A STATIONARITY TEST AND HOW TO DO IT?SEE MORE ONPROJECTGURU.IN
HOW TO DO THE CORRELATION ANALYSIS IN STATA? The basic code for pairwise Correlation is: pwcorr VariableA VariableB. In case one wants STATA to produce a p-value (statistically significance level), one needs to add sig, at the end of the command like shown below: pwcorr VariableA VariableB, sig. In case the researcher wants to determine if the results are significant at aspecific
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). TYPES OF INDUCTIVE AND DEDUCTIVE RESEARCH STRATEGY Within research methodology, research strategy assumes as the “ general plan of how the researcher will go about answering the research questions ” (Saunders et al. 2009; p. 90). Research strategy is of seven types: experiments, surveys, case studies, ethnography, grounded theory, action research and. archival research. ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATA Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant HOW TO DO THE CORRELATION ANALYSIS IN STATA? The basic code for pairwise Correlation is: pwcorr VariableA VariableB. In case one wants STATA to produce a p-value (statistically significance level), one needs to add sig, at the end of the command like shown below: pwcorr VariableA VariableB, sig. In case the researcher wants to determine if the results are significant at aspecific
WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL Since an empirical study contributes to existing knowledge, it adds high value to the research paper. The methodology is flexible. You can change the sample size, sampling type, data collection methods, analysis methods as necessary. Fewer rules are to be followed as they are flexible to incorporate. Empirical papers can be presented in manyways.
CAPITAL ASSET PRICING MODEL (CAPM) TO DETERMINE STOCK VALUE Capital Asset Pricing Model (CAPM) to determine stock value. Harry Markowitz’s Modern Portfolio Theory (MPT) is one of the most renowned theories on how risk-averse investors can construct an optimal portfolio for maximizing the financial returns on their investments with minimal risk. CHALLENGES OF ONLINE RECRUITMENT FROM AN EMPLOYERS Challenges of online recruitment from an employers’ perspective. Human resource management. The problem of work-life balance in remote working. Importance of organisational justice in HRM strategies. Evolution of performance appraisal systems and its importance. Human resources as a strategic business partner. A CONCEPTUAL FRAMEWORK FOR FACTORS AFFECTING ONLINE The previous articles on Hawkins Stern’s theory, Maslow’s theory and Kim, Ferrin and Rao’s (2008) model of online decision making shed light on critical factors that affect the buying behaviour of consumers towards online shopping. Moreover, the marketing strategies of e-commerce companies also play a role in influencing onlineshopping behaviour.
HOW TO IDENTIFY ARCH EFFECT FOR TIME SERIES ANALYSIS IN STATA? Select ‘Graphics’ on the output window. Select ‘Time-series graphs’. Click on ‘Line plots’. Figure 2: Pathway for time series to identify ARCH effect in STATA. Alternatively, use the below command to generate the graph: twoway (tsline logRE_d1) The resultline
HOW TO WRITE THE 'LIMITATIONS OR SHORTCOMINGS OF THE STUDY In this step, justify and elaborate on the limitations. Justify why the limitations occurred. This should have the maximum content, of about 60%. For instance, the biases of the responses may have occurred from poor knowledge of the participants or the participants were not aware of the importance of the study. LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS Limitations and weakness of quantitative research methods. According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. PROFESSIONAL TEAM OF HIGHLY EXPERIENCED RESEARCH ANALYSTSKNOWLEDGE TANKSERVICESHELPEXPERTSINSIGHTSINDUSTRIES We are a team of well-qualified research analysts, driven by research and creativity, to help you make informed decisions. As an effective team, we piece together information from various credible sources to assess threats, challenges, and opportunities. We work through a range of research methods and easily adapt to complexities. A CONCEPTUAL FRAMEWORK FOR FACTORS AFFECTING ONLINE The previous articles on Hawkins Stern’s theory, Maslow’s theory and Kim, Ferrin and Rao’s (2008) model of online decision making shed light on critical factors that affect the buying behaviour of consumers towards online shopping. Moreover, the marketing strategies of e-commerce companies also play a role in influencing onlineshopping behaviour.
REVIEW OF DIFFERENT CSR MODELS AND THEIR ADVANTAGESSEE MORE ONPROJECTGURU.IN
DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. FACILITY LOCATION DECISION IN LOGISTICS MANAGEMENTSEE MORE ONPROJECTGURU.IN
CHALLENGES OF ONLINE RECRUITMENT FROM AN EMPLOYERSSEE MORE ONPROJECTGURU.IN
WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL Since an empirical study contributes to existing knowledge, it adds high value to the research paper. The methodology is flexible. You can change the sample size, sampling type, data collection methods, analysis methods as necessary. Fewer rules are to be followed as they are flexible to incorporate. Empirical papers can be presented in manyways.
INTRODUCTION TO DERIVATIVES IN INDIAN CAPITAL MARKET A security derived from a debt instrument, share, loan, whether secured or unsecured, risk instrument or contract for differences or any other form of security. A contract which derivatives its value from the prices, or index of prices, of underlying securities . The underlying asset in this case could be: Commodity like grains & coffeebeans.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. PROFESSIONAL TEAM OF HIGHLY EXPERIENCED RESEARCH ANALYSTSKNOWLEDGE TANKSERVICESHELPEXPERTSINSIGHTSINDUSTRIES We are a team of well-qualified research analysts, driven by research and creativity, to help you make informed decisions. As an effective team, we piece together information from various credible sources to assess threats, challenges, and opportunities. We work through a range of research methods and easily adapt to complexities. A CONCEPTUAL FRAMEWORK FOR FACTORS AFFECTING ONLINE The previous articles on Hawkins Stern’s theory, Maslow’s theory and Kim, Ferrin and Rao’s (2008) model of online decision making shed light on critical factors that affect the buying behaviour of consumers towards online shopping. Moreover, the marketing strategies of e-commerce companies also play a role in influencing onlineshopping behaviour.
REVIEW OF DIFFERENT CSR MODELS AND THEIR ADVANTAGESSEE MORE ONPROJECTGURU.IN
DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. FACILITY LOCATION DECISION IN LOGISTICS MANAGEMENTSEE MORE ONPROJECTGURU.IN
CHALLENGES OF ONLINE RECRUITMENT FROM AN EMPLOYERSSEE MORE ONPROJECTGURU.IN
WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL Since an empirical study contributes to existing knowledge, it adds high value to the research paper. The methodology is flexible. You can change the sample size, sampling type, data collection methods, analysis methods as necessary. Fewer rules are to be followed as they are flexible to incorporate. Empirical papers can be presented in manyways.
INTRODUCTION TO DERIVATIVES IN INDIAN CAPITAL MARKET A security derived from a debt instrument, share, loan, whether secured or unsecured, risk instrument or contract for differences or any other form of security. A contract which derivatives its value from the prices, or index of prices, of underlying securities . The underlying asset in this case could be: Commodity like grains & coffeebeans.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. REVIEW OF DIFFERENT CSR MODELS AND THEIR ADVANTAGES Corporate Social Responsibility (CSR) is a self-regulating business strategy that helps businesses to be socially responsible and being accountable, to their stakeholders and to the public.Several CSR models have been formulated over the years. The purpose of these models is to design and execute the CSR process and to enable its monitoring and control. FACILITY LOCATION DECISION IN LOGISTICS MANAGEMENT The location of new facilities is an important decision in logistics management. It includes retailers, warehouses and factories. This decision determines the efficiency of the flow of goods in the distribution system. Another reason for a business to decide the facility location is limited to the storage capacity of warehouses. BEHAVIORAL APPROACH OF MEASURING PERFORMANCE OF EMPLOYEES The behavioral approach is the most commonly adopted approach and comprises vertical scales that are based on certain parameters. Organizations use the following techniques to measure employee performance: Behaviorally Anchored Rating Scale (BARS) Behavioral Observation Scale (BOS) The BARS technique contains five to ten scaleswhich are based
HOW TO PRESENT ETHICAL CONSIDERATIONS IN A STUDY? Acknowledging the sources used is essential for ethical considerations. The most essential mandate of ethical considerations is that all the sources used in the research have to be properly acknowledged. This is applicable to both direct and indirect quotes and information that are used in the research. Moreover, specificreferencing styles
ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATA Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF A REVIEW STUDY? A review study can be presented anywhere between 1500 and 8000 words. The presentation of arguments is possible in the review paper. Critical disadvantages include: Empirical evidence can be unavailable if it is an unpopular topic. It can be hard to convince publishers of the novelty of your research if the data is not presented robustly. TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). HOW TO CALCULATE THE SAMPLE SIZE OF PRIMARY RESEARCH? The calculation of the sample size is to determine the number of units or items that a researcher needs to include in the sample. Sample size calculation is the fourth step of sampling design and comes after the identification of the population (from which the sample is to be drawn), selection of the sampling unit (geographical location), and the preparation of the source list. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS Limitations and weakness of quantitative research methods. According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. PROFESSIONAL TEAM OF HIGHLY EXPERIENCED RESEARCH ANALYSTSKNOWLEDGE TANKSERVICESHELPEXPERTSINSIGHTSINDUSTRIES Safer, smarter & intelligent team of analysts We discover, we interpret, and we visualize numbers. We are a team of well-qualified research analysts, driven by research and A CONCEPTUAL FRAMEWORK FOR FACTORS AFFECTING ONLINE The previous articles on Hawkins Stern’s theory, Maslow’s theory and Kim, Ferrin and Rao’s (2008) model of online decision making shed light on critical factors that affect the buying behaviour of consumers towards online shopping. Moreover, the marketing strategies of e-commerce companies also play a role in influencing onlineshopping behaviour.
REVIEW OF DIFFERENT CSR MODELS AND THEIR ADVANTAGESSEE MORE ONPROJECTGURU.IN
FACILITY LOCATION DECISION IN LOGISTICS MANAGEMENTSEE MORE ONPROJECTGURU.IN
DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITY Data sources in a research can be of two types, primary and secondary data. Data can be collected through either of the two or both themethods.
HOW TO CALCULATE THE SAMPLE SIZE OF PRIMARY RESEARCH?SEE MORE ONPROJECTGURU.IN
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. RESULTS SUMMARISATION USING REPORTS AND EXTRACTS IN NVIVO Figure 1: ‘Reports’ folder in main menu of Nvivo. Reports can be created in Nvivo workspace or exported as text, excel or xml files. The ‘Reports’ menu in navigation window contains two sub-folders– ‘Reports’ and ‘Extracts’ (see figure below). WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL An empirical study is that which has statistical research in the form of the primary. This primary data is usually collected in the form of survey questionnaires or interviews. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder toretain them.
PROFESSIONAL TEAM OF HIGHLY EXPERIENCED RESEARCH ANALYSTSKNOWLEDGE TANKSERVICESHELPEXPERTSINSIGHTSINDUSTRIES Safer, smarter & intelligent team of analysts We discover, we interpret, and we visualize numbers. We are a team of well-qualified research analysts, driven by research and A CONCEPTUAL FRAMEWORK FOR FACTORS AFFECTING ONLINE The previous articles on Hawkins Stern’s theory, Maslow’s theory and Kim, Ferrin and Rao’s (2008) model of online decision making shed light on critical factors that affect the buying behaviour of consumers towards online shopping. Moreover, the marketing strategies of e-commerce companies also play a role in influencing onlineshopping behaviour.
REVIEW OF DIFFERENT CSR MODELS AND THEIR ADVANTAGESSEE MORE ONPROJECTGURU.IN
FACILITY LOCATION DECISION IN LOGISTICS MANAGEMENTSEE MORE ONPROJECTGURU.IN
DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITY Data sources in a research can be of two types, primary and secondary data. Data can be collected through either of the two or both themethods.
HOW TO CALCULATE THE SAMPLE SIZE OF PRIMARY RESEARCH?SEE MORE ONPROJECTGURU.IN
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. RESULTS SUMMARISATION USING REPORTS AND EXTRACTS IN NVIVO Figure 1: ‘Reports’ folder in main menu of Nvivo. Reports can be created in Nvivo workspace or exported as text, excel or xml files. The ‘Reports’ menu in navigation window contains two sub-folders– ‘Reports’ and ‘Extracts’ (see figure below). WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL An empirical study is that which has statistical research in the form of the primary. This primary data is usually collected in the form of survey questionnaires or interviews. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder toretain them.
FACILITY LOCATION DECISION IN LOGISTICS MANAGEMENT Facility location decision depends on several factors such as: Product variety, transportation cost, and customer response time and many other factors help the firm to determine the form (Fleischmann et al., 2000).; Location techniques that help the decision-making process TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). HOW TO PRESENT ETHICAL CONSIDERATIONS IN A STUDY? Ethical considerations in a study are one of the cardinal elements of the research methodology which confirms that the researcher has considered all necessary guidelines that make the research ethicallyvalid.
ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATA Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant HOW TO CALCULATE THE SAMPLE SIZE OF PRIMARY RESEARCH? The calculation of the sample size is to determine the number of units or items that a researcher needs to include in the sample. Sample size calculation is the fourth step of sampling design and comes after the identification of the population (from which the sample is to be drawn), selection of the sampling unit (geographical location), and the preparation of the source list. WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL An empirical study is that which has statistical research in the form of the primary. This primary data is usually collected in the form of survey questionnaires or interviews. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder toretain them.
WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF A REVIEW STUDY? A review paper is the one that simply appraises already published articles. It does not contain any primary research. Advantages of suchstudies include:
LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. HOW TO IDENTIFY ARCH EFFECT FOR TIME SERIES ANALYSIS IN STATA? Check for ARCH effect. The line plot cannot alone suggest the presence of ARCH effect. This is because ARCH effect also carries the presence of autocorrelation which is unidentifiable in line plots. Recall from the article (Regression analysis using VAR in STATA), ‘AR’ implies the effects of lagged valued on the concerned dependent variables.Thus, to rectify the applicability of ARCH ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATAARIMA MODELS IN STATAARIMA FORECASTING EXAMPLEARIMA STATE SPACE MODEL Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITYOUR WORLD IN DATA CREDIBILITYOUR WORLD IN DATA CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. HOW TO TEST TIME SERIES AUTOCORRELATION IN STATA?PEARSON CORRELATION IN STATASTATA CORRELATION TEST Figure 1: Critical values of Durbin Watson test for testing autocorrelation in STATA. Durbin Watson statistic ranges from 0 to 4. As the above scale shows, statistics value between 0 to dl represents positive serial autocorrelation. Values between dl and du; 4-du and 4-dl indicate serial correlation cannot be determined. HOW TO PERFORM HETEROSCEDASTICITY TEST IN STATA FOR TIME Click on ‘Reference lines’. Click on ‘OK’. Figure 5: Selecting reference lines for heteroscedasticity test in STATA. The ‘Reference lines (y axis)’ window will appear (figure below). Enter ‘0’ in the box for ‘Add lines to the graph at specified y axis values’. Then click on ‘Accept’. Figure 6: HOW TO EMPIRICALLY REVIEW THE LITERATURE? Example 1. When we need to conduct an empirical review on more than 10-15 studies, it is important to be crisp in the presentation of information in a minimum number of words. The following example reflects this point precisely. Nearly two decades ago, Kalleberg and Leicht (1991) (Authors) conducted a comparative study usinglongitudinal data
TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS Limitations and weakness of quantitative research methods. According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATAARIMA MODELS IN STATAARIMA FORECASTING EXAMPLEARIMA STATE SPACE MODEL Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITYOUR WORLD IN DATA CREDIBILITYOUR WORLD IN DATA CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. HOW TO TEST TIME SERIES AUTOCORRELATION IN STATA?PEARSON CORRELATION IN STATASTATA CORRELATION TEST Figure 1: Critical values of Durbin Watson test for testing autocorrelation in STATA. Durbin Watson statistic ranges from 0 to 4. As the above scale shows, statistics value between 0 to dl represents positive serial autocorrelation. Values between dl and du; 4-du and 4-dl indicate serial correlation cannot be determined. HOW TO PERFORM HETEROSCEDASTICITY TEST IN STATA FOR TIME Click on ‘Reference lines’. Click on ‘OK’. Figure 5: Selecting reference lines for heteroscedasticity test in STATA. The ‘Reference lines (y axis)’ window will appear (figure below). Enter ‘0’ in the box for ‘Add lines to the graph at specified y axis values’. Then click on ‘Accept’. Figure 6: HOW TO EMPIRICALLY REVIEW THE LITERATURE? Example 1. When we need to conduct an empirical review on more than 10-15 studies, it is important to be crisp in the presentation of information in a minimum number of words. The following example reflects this point precisely. Nearly two decades ago, Kalleberg and Leicht (1991) (Authors) conducted a comparative study usinglongitudinal data
TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS Limitations and weakness of quantitative research methods. According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. PROFESSIONAL TEAM OF HIGHLY EXPERIENCED RESEARCH ANALYSTS We are a team of well-qualified research analysts, driven by research and creativity, to help you make informed decisions. As an effective team, we piece together information from various credible sources to assess threats, challenges, and opportunities. We work through a range of research methods and easily adapt to complexities. DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATA Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL Since an empirical study contributes to existing knowledge, it adds high value to the research paper. The methodology is flexible. You can change the sample size, sampling type, data collection methods, analysis methods as necessary. Fewer rules are to be followed as they are flexible to incorporate. Empirical papers can be presented in manyways.
THREATS TO INTERNAL AND EXTERNAL VALIDITY External threats to validity. Impact of pre-testing: Most often researchers conduct pre-tests or pilot tests to determine the efficacy of the measuring instrument. However, pre-tests might impact the sensitivity and responsiveness of the experimental variable. For example, the researcher conducts a pre-test on a sample of 25respondents.
HOW TO WRITE THE 'LIMITATIONS OR SHORTCOMINGS OF THE STUDY In this step, justify and elaborate on the limitations. Justify why the limitations occurred. This should have the maximum content, of about 60%. For instance, the biases of the responses may have occurred from poor knowledge of the participants or the participants were not aware of the importance of the study. PRISMA FOR SYSTEMATIC REVIEWS AND META-ANALYSES The PRISMA framework or Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), is a set of guidelines or steps developed by Moher, (2013). These steps are useful for systematic literature reviews, critical literature analyses and meta-analyses. The PRISMA tool or framework uses a set of methods to systematicallysearch
LIMITATIONS AND WEAKNESS OF QUALITATIVE RESEARCH METHODS Difficult to investigate causality. Researchers find it difficult to investigate causality between different research phenomena. Qualitative research is little complex to explain the difference in the quality and quantity of information obtained from different respondents and arriving at non-consistent conclusions (Barbour 2000). ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATAARIMA MODELS IN STATAARIMA FORECASTING EXAMPLEARIMA STATE SPACE MODEL Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITYOUR WORLD IN DATA CREDIBILITYOUR WORLD IN DATA CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. HOW TO TEST TIME SERIES AUTOCORRELATION IN STATA?PEARSON CORRELATION IN STATASTATA CORRELATION TEST Figure 1: Critical values of Durbin Watson test for testing autocorrelation in STATA. Durbin Watson statistic ranges from 0 to 4. As the above scale shows, statistics value between 0 to dl represents positive serial autocorrelation. Values between dl and du; 4-du and 4-dl indicate serial correlation cannot be determined. HOW TO PERFORM HETEROSCEDASTICITY TEST IN STATA FOR TIME Click on ‘Reference lines’. Click on ‘OK’. Figure 5: Selecting reference lines for heteroscedasticity test in STATA. The ‘Reference lines (y axis)’ window will appear (figure below). Enter ‘0’ in the box for ‘Add lines to the graph at specified y axis values’. Then click on ‘Accept’. Figure 6: HOW TO EMPIRICALLY REVIEW THE LITERATURE? Example 1. When we need to conduct an empirical review on more than 10-15 studies, it is important to be crisp in the presentation of information in a minimum number of words. The following example reflects this point precisely. Nearly two decades ago, Kalleberg and Leicht (1991) (Authors) conducted a comparative study usinglongitudinal data
TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS Limitations and weakness of quantitative research methods. According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATAARIMA MODELS IN STATAARIMA FORECASTING EXAMPLEARIMA STATE SPACE MODEL Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITYOUR WORLD IN DATA CREDIBILITYOUR WORLD IN DATA CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. HOW TO TEST TIME SERIES AUTOCORRELATION IN STATA?PEARSON CORRELATION IN STATASTATA CORRELATION TEST Figure 1: Critical values of Durbin Watson test for testing autocorrelation in STATA. Durbin Watson statistic ranges from 0 to 4. As the above scale shows, statistics value between 0 to dl represents positive serial autocorrelation. Values between dl and du; 4-du and 4-dl indicate serial correlation cannot be determined. HOW TO PERFORM HETEROSCEDASTICITY TEST IN STATA FOR TIME Click on ‘Reference lines’. Click on ‘OK’. Figure 5: Selecting reference lines for heteroscedasticity test in STATA. The ‘Reference lines (y axis)’ window will appear (figure below). Enter ‘0’ in the box for ‘Add lines to the graph at specified y axis values’. Then click on ‘Accept’. Figure 6: HOW TO EMPIRICALLY REVIEW THE LITERATURE? Example 1. When we need to conduct an empirical review on more than 10-15 studies, it is important to be crisp in the presentation of information in a minimum number of words. The following example reflects this point precisely. Nearly two decades ago, Kalleberg and Leicht (1991) (Authors) conducted a comparative study usinglongitudinal data
TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS Limitations and weakness of quantitative research methods. According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. PROFESSIONAL TEAM OF HIGHLY EXPERIENCED RESEARCH ANALYSTS We are a team of well-qualified research analysts, driven by research and creativity, to help you make informed decisions. As an effective team, we piece together information from various credible sources to assess threats, challenges, and opportunities. We work through a range of research methods and easily adapt to complexities. DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATA Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL Since an empirical study contributes to existing knowledge, it adds high value to the research paper. The methodology is flexible. You can change the sample size, sampling type, data collection methods, analysis methods as necessary. Fewer rules are to be followed as they are flexible to incorporate. Empirical papers can be presented in manyways.
THREATS TO INTERNAL AND EXTERNAL VALIDITY External threats to validity. Impact of pre-testing: Most often researchers conduct pre-tests or pilot tests to determine the efficacy of the measuring instrument. However, pre-tests might impact the sensitivity and responsiveness of the experimental variable. For example, the researcher conducts a pre-test on a sample of 25respondents.
HOW TO WRITE THE 'LIMITATIONS OR SHORTCOMINGS OF THE STUDY In this step, justify and elaborate on the limitations. Justify why the limitations occurred. This should have the maximum content, of about 60%. For instance, the biases of the responses may have occurred from poor knowledge of the participants or the participants were not aware of the importance of the study. PRISMA FOR SYSTEMATIC REVIEWS AND META-ANALYSES The PRISMA framework or Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), is a set of guidelines or steps developed by Moher, (2013). These steps are useful for systematic literature reviews, critical literature analyses and meta-analyses. The PRISMA tool or framework uses a set of methods to systematicallysearch
LIMITATIONS AND WEAKNESS OF QUALITATIVE RESEARCH METHODS Difficult to investigate causality. Researchers find it difficult to investigate causality between different research phenomena. Qualitative research is little complex to explain the difference in the quality and quantity of information obtained from different respondents and arriving at non-consistent conclusions (Barbour 2000). ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATAARIMA MODELS IN STATAARIMA FORECASTING EXAMPLEARIMA STATE SPACE MODEL Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITYOUR WORLD IN DATA CREDIBILITYOUR WORLD IN DATA CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. HOW TO TEST TIME SERIES AUTOCORRELATION IN STATA?PEARSON CORRELATION IN STATASTATA CORRELATION TEST Figure 1: Critical values of Durbin Watson test for testing autocorrelation in STATA. Durbin Watson statistic ranges from 0 to 4. As the above scale shows, statistics value between 0 to dl represents positive serial autocorrelation. Values between dl and du; 4-du and 4-dl indicate serial correlation cannot be determined. HOW TO PERFORM HETEROSCEDASTICITY TEST IN STATA FOR TIME Click on ‘Reference lines’. Click on ‘OK’. Figure 5: Selecting reference lines for heteroscedasticity test in STATA. The ‘Reference lines (y axis)’ window will appear (figure below). Enter ‘0’ in the box for ‘Add lines to the graph at specified y axis values’. Then click on ‘Accept’. Figure 6: HOW TO EMPIRICALLY REVIEW THE LITERATURE? Example 1. When we need to conduct an empirical review on more than 10-15 studies, it is important to be crisp in the presentation of information in a minimum number of words. The following example reflects this point precisely. Nearly two decades ago, Kalleberg and Leicht (1991) (Authors) conducted a comparative study usinglongitudinal data
TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS Limitations and weakness of quantitative research methods. According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATAARIMA MODELS IN STATAARIMA FORECASTING EXAMPLEARIMA STATE SPACE MODEL Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITYOUR WORLD IN DATA CREDIBILITYOUR WORLD IN DATA CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. HOW TO TEST TIME SERIES AUTOCORRELATION IN STATA?PEARSON CORRELATION IN STATASTATA CORRELATION TEST Figure 1: Critical values of Durbin Watson test for testing autocorrelation in STATA. Durbin Watson statistic ranges from 0 to 4. As the above scale shows, statistics value between 0 to dl represents positive serial autocorrelation. Values between dl and du; 4-du and 4-dl indicate serial correlation cannot be determined. HOW TO PERFORM HETEROSCEDASTICITY TEST IN STATA FOR TIME Click on ‘Reference lines’. Click on ‘OK’. Figure 5: Selecting reference lines for heteroscedasticity test in STATA. The ‘Reference lines (y axis)’ window will appear (figure below). Enter ‘0’ in the box for ‘Add lines to the graph at specified y axis values’. Then click on ‘Accept’. Figure 6: HOW TO EMPIRICALLY REVIEW THE LITERATURE? Example 1. When we need to conduct an empirical review on more than 10-15 studies, it is important to be crisp in the presentation of information in a minimum number of words. The following example reflects this point precisely. Nearly two decades ago, Kalleberg and Leicht (1991) (Authors) conducted a comparative study usinglongitudinal data
TYPES OF MEASUREMENT SCALES IN SURVEY QUESTIONNAIRES Measurement scales while framing a questionnaire play an important role to understand the characteristics of the variables. A questionnaire is a collection of a set of questions. A survey, on the other hand, includes the process of making the questionnaire, collecting the responses, aggregating the data and analysing it (SurveyMonkey, 2019). INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. LIMITATIONS AND WEAKNESS OF QUANTITATIVE RESEARCH METHODS Limitations and weakness of quantitative research methods. According to Saunders et al. (2009), research methodology serves as the backbone of a research study. Quantitative research’s main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. WHY EMPLOYEE RETENTION STRATEGIES FAIL? Why employee retention strategies fail? Employee retention is a key issue in organizations today. It is hard to find skilled and competent employees and it is even harder to retain them. The organizations are working on their employee retention strategies more than ever before; yet they fail in retaining their best employees. PROFESSIONAL TEAM OF HIGHLY EXPERIENCED RESEARCH ANALYSTS We are a team of well-qualified research analysts, driven by research and creativity, to help you make informed decisions. As an effective team, we piece together information from various credible sources to assess threats, challenges, and opportunities. We work through a range of research methods and easily adapt to complexities. DIFFERENT DATA COLLECTION METHODS AND THEIR CREDIBILITY Similarly, Hollerson (2003) define it as ‘information collected first hand, generally by original research tailor-made to answer specific research questions’. It can be of the following types: Market surveys. Focus groups. Interviews. Observation methods. ARIMA MODELING FOR TIME SERIES ANALYSIS IN STATA Figure 6: ARIMA (1,1,2) results for time series GDP. ARIMA results as presented in above Figure 6 can be analyzed through several components, as below:. Log-likelihood: the value of log-likelihood (ignoring negative sign) is 552 which is similar to the previous ARIMA model (1, 1, 1). Coefficient of AR: The coefficient of AR and MA are significant but the coefficient of AR is insignificant INTERPRETATION OF FACTOR ANALYSIS USING SPSS Else these variables are to be removed from further steps factor analysis) in the variables has been accounted for by the extracted factors. For instance over. 90% of the variance in “Quality of product” is accounted for, while 73.5% of the variance in “Availability of product” is accounted for (Table 4). Table 4:Communalities.
HOW TO TEST NORMALITY IN STATA? The preceding articles showed how to conduct time series analysis in STATA on a range of univariate and multivariate models including ARIMA, VAR (Lag selection, and stationarity in VAR with three variables in STATA) and VECM (VECM in STATA for two cointegrating equations).Time series data requires some diagnostic tests in order to check the properties of the independent variables. WHAT ARE THE ADVANTAGES AND DISADVANTAGES OF AN EMPIRICAL Since an empirical study contributes to existing knowledge, it adds high value to the research paper. The methodology is flexible. You can change the sample size, sampling type, data collection methods, analysis methods as necessary. Fewer rules are to be followed as they are flexible to incorporate. Empirical papers can be presented in manyways.
THREATS TO INTERNAL AND EXTERNAL VALIDITY External threats to validity. Impact of pre-testing: Most often researchers conduct pre-tests or pilot tests to determine the efficacy of the measuring instrument. However, pre-tests might impact the sensitivity and responsiveness of the experimental variable. For example, the researcher conducts a pre-test on a sample of 25respondents.
HOW TO WRITE THE 'LIMITATIONS OR SHORTCOMINGS OF THE STUDY In this step, justify and elaborate on the limitations. Justify why the limitations occurred. This should have the maximum content, of about 60%. For instance, the biases of the responses may have occurred from poor knowledge of the participants or the participants were not aware of the importance of the study. PRISMA FOR SYSTEMATIC REVIEWS AND META-ANALYSES The PRISMA framework or Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), is a set of guidelines or steps developed by Moher, (2013). These steps are useful for systematic literature reviews, critical literature analyses and meta-analyses. The PRISMA tool or framework uses a set of methods to systematicallysearch
LIMITATIONS AND WEAKNESS OF QUALITATIVE RESEARCH METHODS Difficult to investigate causality. Researchers find it difficult to investigate causality between different research phenomena. Qualitative research is little complex to explain the difference in the quality and quantity of information obtained from different respondents and arriving at non-consistent conclusions (Barbour 2000).GO
* For assistance call (IND-91)* @projectguru.in
* Mon - Fri, 10:00 to 18:00 IST* My account
* Home
* KnowledgeTank
* Business Administration * Organizational Development* CSR
* Strategic Management * Chemical Engineering* Ecology
* Economics
* Education
* Finance
* Accounting
* Banking
* International Finance- * Mergers & Aquisitions * Portfolio Management* Human Resource
* Human Rights
* Information Technology * International Business* Import Export
* Literature
* Marketing
* Advertising
* Branding
* Consumer Behavior
* Logistics
* Quality Management * Relationship Management* Service Marketing
* Political Science
* Psychology
* Research Analysis
* Sociology
* Tourism
* Services
* Research Papers
* Dissertation Writing* Thesis Writing
* Journal Writing
* Synopsis / Proposal writing* Proofreading
* Essay & Coursework* Research Analysis
* Power Designs
* PowerPoint Templates* Web Design
* Newsletter Design
* Promotional Writing * Web Content Writing * SEO Article Writing Service * Press Release Writing * Blog Writing Service * Ad Copy Writing Service * Sales Copy Writing Service * Case Study Writing Service * Newsletter Writing Service * Marketing Services * Optimized Press Release * Search Engine Marketing * Website Auditing Service * Marketing Design Service* Market Research
* Online Marketing
* Order
* Research Papers
* Dissertation Writing* Thesis Writing
* Journal Writing
* Synopsis / Proposal* Proofreading
* Essay & Coursework* Research Analysis
* Power Designs
* PowerPoint Template* Web Design
* Newsletter Design
* Promotional Writing * Web Content Writing * SEO Article Writing Service * Press Release Writing * Blog Writing Service * Ad Copy Writing Service * Sales Copy Writing Service * Case Study Writing Service * Newsletter Writing Service * Marketing Services * Optimized Press Release * Search Engine marketing-1 * Website Auditing Service * Marketing Design Service* Market Research
* Online Marketing
* Support
* Frequently asked questions* Contact us
* About us
* Plagiarism
* Service standards
* Terms of service
* Terms of freelance job* Career
* Career growth
* Performance
* Selection criteria* Vacancy
* Express delivery
* Personal assistance* More
* Commentary
* Industrial overview* Expert's Advice
* Dissertation
* Essay or Coursework* Ph.D. Thesis
* Proofreading
* Satistical Analysis * PowerPoint Templates* Learning modules
* Analyse with SPSS
* Research methodology * Organise with Mendeley* Partner with us
SAFER, SMARTER & INTELLIGENT WRITING FORCE WE BUILD, WE WRITE, AND WE VISUALIZE YOUR IDEAS. WE ARE PROFESSIONAL WRITERS AND DESIGNERS, WELL QUALIFIED TO PROVIDE YOU EXPERT HELP. We are not just another writing or designing company, we are a team of professionals that drive through research and creativity, to give you the most effective and innovative support. We help you make yourMarket Reports
, PowerPoint
Presentations , Online MarketingStrategies
,
Dissertations , Thesis, SEO Articles
, Sales Copy Writing , Press Release Writingand more
.
*
*
*
*
*
*
POWER DESIGNS
ABSOLUTE BRANDING SOLUTIONS WITH CREATIVE IDEAS & SOLUTIONS, DIRECTLY FROM THE PROJECT GURU LABS. Meeting corporate demands for their hunger to become the most common brand is what the Project Guru professional team is now working on. * » PowerPoint Slide Design * » Custom Web Design * » Newsletter TemplatesRESEARCH PAPERS
WE AT PROJECT GURU WORK HARD TO PROVIDE YOU THE ESSENTIALS OF YOUR RESEARCH WRITING EVERYDAY. We have been working on various projects across the continents. Simply send us your overview of your research requirements and we shall reply you back with the layout of your research. * » Dissertation Proposal writing * » Dissertation writing service * » Thesis writing service * » Ph.D. Journal writing service * » Proof reading & Editing service * » Research & Data Analysis * » Essay & Coursework writing servicePROMOTIONAL WRITING
PROFESSIONAL PROMOTIONAL WRITING SERVICE TO HELP YOU CREATE EFFECTIVE MARKETING CAMPAIGNS. We help you get you one step ahead of the competition with unique and professional guranteed quality marketing services from Project Guru. * » Web content writing * » SEO article writing * » Press release writing* » Blog writing
* » Ad copywriting
* » Sales copywriting * » Case study writing * » Newsletter writing THE ARTICLES WE PUBLISHED GAPS IN HEALTH INSURANCE PLANS ARE RESULTING IN INCREASING ALLERGYPREVALENCE IN INDIA
Allergy is hypersensitivity of the immune system or abnormal reaction of the immune system to foreign antigens. Allergy-related common diseases include allergic rhinitis, urticaria, eczema, anaphylaxis, conjunctivitis, and asthma. Allergy may affect the lungs, stomach, skin, nose, throat, and eyes. Read more »RECENTLY
*
THE USE OF THE VEBLENIAN SOCIO-PSYCHOLOGICAL MODEL FOR ONLINEMARKETING
Traditionally, consumer behaviour theories emerged from different psychological, anthropological and economic theories as marketers applied them to understand consumer wants. Read more » * A decision framework to mitigate the challenges of internationallogistics
* Marketing strategies that influence consumer behaviour * Factors affecting the online buying behaviour of Millennials andGen Z
* Influence of social media on the buying behaviour of Millennials * Managing defected product returns in reverse logistics * Impact of social media on the buying behaviour of Generation Z * Factors influencing online shopping behaviour of Millennials * Characteristics of brand loyalty of Generation Z and themillennials
* The difference in shopping behaviour of generation Z and themillennial
* Use of different inventory models for efficient logisticsmanagement
#IMPACT OF FDI
* Trends of foreign direct investment in India * Theories of foreign direct investment based on a perfect market * Importance of environment in the CSR mandate of India * Relating exchange rate and inflow of foreign direct investment inIndia
* An overview of CSR policies in Mauritius, Singapore, Netherlandsand India
* Overview of foreign direct investment in pre and post economicreform in India
INDIAN FINANCE SECTOR * Cash Management Services * India’s run for a digital payment and banking system * Advantages of introducing Islamic banking system in India * Understanding the new IRDA guidelines * Introduction of Islamic Banking in India * Islamic financial institutions We are looking for candidates who have completed their master's degree or Ph.D. Click here to know more about our vacancies. * Terms & Conditions* FAQ
* Contact us
* Sitemap
* Order status
* Copyright © 2005 - 2019 Project Guru, India. All rights reserved.*
*
Details
Copyright © 2024 ArchiveBay.com. All rights reserved. Terms of Use | Privacy Policy | DMCA | 2021 | Feedback | Advertising | RSS 2.0