scholarly journals Some suggestions on dealing with measurement error in linkage analyses

2017 ◽  
Author(s):  
Marko Bachl ◽  
Michael Scharkow

Linkage analysis is a sophisticated media effect research design that reconstructs the likely exposure to relevant media messages of individual survey respondents by complementing the survey data with a content analysis. It is an important improvement over survey-only designs: Instead of predicting some outcome of interest by media use and implicitly assuming what kind of media messages the respondents were exposed to, linkage analysis explicitly takes the media messages into account (de Vreese & Neijens, 2016; Scharkow & Bachl, 2017; Schuck, Vliegenthart, & de Vreese, 2016; Shoemaker & Reese, 1990; Slater, 2016; Valkenburg & Peter, 2013). The design in its modern form has been pioneered by Miller, Goldenberg, and Erbring (1979) and is today considered a “state-of-the art analysis of the impact of specific news consumption” (Fazekas & Larsen, 2015, p. 196). Its widespread use, especially in the field of political communication, and its still increasing popularity demonstrate the relevance of the design. The main advantage of a linkage analysis is the use of one or more message exposure variables which combine information about media use and media content. However, both constitutive sources are often measured with error: Survey respondents are not very good at reporting their media use reliably, and coders will often make some errors when classifying the relevant messages.In this article, we will first give a short overview on the prevalence and consequences of measurement error in both data sources. The arguments are based on a literature review and a simulation study which are published elsewhere in full detail (Scharkow & Bachl, 2017). We continue with a discussion of possible remedies in measurement and data analysis. Beyond the obvious need to improve the measures themselves, we highlight the importance of serious diagnostics of measurement quality. Such information can then be incorporated in the data analysis using estimation or imputation approaches, which are introduced in the main section of this chapter. We conclude by noting that 1) the improvement of measurements and the diagnosis of measurement error in both parts of a linkage analysis must be taken seriously; 2) many tools for correcting measurement error in single parts of a linkage analysis already exist and should be used; 3) methodological research is needed for the development of an integrated analysis workflow which accounts for measurement error and uncertainty in both data sources.

2020 ◽  
Vol 6 ◽  
Author(s):  
Kholidah Kholidah ◽  
Nyong ETIS ◽  
Siti Ruchana

This paper discusses the impact of facilities and infrastructure management on student’s satisfaction. The success of learning in schools one of which is supported by the facilities and infrastructure of learning. Management of the utilization of educational facilities and infrastructure in schools effectively and efficiently will greatly support the success of the learning process in schools and improve the quality of student’s satisfaction. This research is a descriptive qualitative research which is expected to be able to uncover various information carefully and meaningful analysis-descriptions. Data sources in this study are principal, vice principal also staff of facilities and infrastructure, students too. Data collection bas obtained from interview, observation, and arrangement. As for the data analysis techniques through data reduction, data presentation, and data analysis. The results of the study are expected to be (a) The management of facilities and infrastructure capable improve the implementation of the education process effectively (b) The implementation of management infrastructure and facilities can increase student satisfaction significantly.


2020 ◽  
Vol 8 (1) ◽  
pp. 134
Author(s):  
Kadek Mastari ◽  
Ida Bagus Suryawan

Tourism is a very reliable sector in this globalization era. Indonesia is one country that relies heavily on the tourism sector. Bali is one of the provinces in Indonesia. Over time, Bali tourism continues to grow even better. This development can be seen from the development that has been carried out in Bali, such as infrastructure development. One of the infrastructures that has been created is Jalan Toi Bali Mandara I Gusti Ngurah Rai, located in Badung Regency. The purpose of this study is to determine the impact of the construction of the Bali Mandara Toll Road on tourist activities in the Kampoeng Kepan Ecotourism attraction in Tuban Bali. The type of data in this study uses qualitative data. And data sources in this study are primary data sources and qualitative data sources. Data collection in this study uses observation techniques, interviews and documentation For the determination of informants through puposive sampling Data analysis techniques used are qualitative descriptive data analysis techniques The results in this study are the impacts caused in the construction of the Bali Mandara toll road on tourist activities that have an impact very good, a lot of new innovations that can be used as tourist activities, then after the construction is finished tourism activities can run well and normal, the construction of toll roads is very supportive to attract tourists in tourism activities The construction of the Bali Mandara Toll Road has a good impact on tourism activities in Kampoeng Crab Ecotouris. Keywords: impact, development, tourist activity, and ecotourism kampoeng kepiting


2017 ◽  
Vol 7 (2) ◽  
pp. 367-384 ◽  
Author(s):  
Max Gallop ◽  
Simon Weschle

Many commonly used data sources in the social sciences suffer from non-random measurement error, understood as mis-measurement of a variable that is systematically related to another variable. We argue that studies relying on potentially suspect data should take the threat this poses to inference seriously and address it routinely in a principled manner. In this article, we aid researchers in this task by introducing a sensitivity analysis approach to non-random measurement error. The method can be used for any type of data or statistical model, is simple to execute, and straightforward to communicate. This makes it possible for researchers to routinely report the robustness of their inference to the presence of non-random measurement error. We demonstrate the sensitivity analysis approach by applying it to two recent studies.


2021 ◽  
Vol 2 (2) ◽  
pp. 96-102
Author(s):  
Sri Wulan Endang Saraswati ◽  
Deka Setiawan ◽  
F. Shoufika Hilyana

The aims of this study are 1) to analyze the impact of smartphone use on children's behavior in Muktiharjo Village, Pati and 2) to analyze the role of parents in smartphone use in children in Muktiharjo Village, Pati.The research was conducted using a qualitative approach with the type of case study research. The research was conducted in Muktiharjo Village, Margorejo District, Pati Regency. The data collection techniques are through observation, interviews, and documentation. Primary data sources were obtained from observations and interviews with parents and children in Muktiharjo Village. As for the secondary data sources, researchers obtained from supporting documents. Testing the validity of the data used triangulation technique. In this study, triangulation techniques were carried out by combining data received from observations, interviews, and documentation. The data analysis used is qualitative data analysis developed by Miles and Huberman which includes three stages including data reduction, data presentation, verification or conclusion.The results of the study indicate that the role of parents is very important in reducing the impact of smartphone use on children and children's behavior can be controlled. Behavioral disorders in children include emotional behavior, social behavior, and lazy behavior.


2019 ◽  
Vol 13 (1) ◽  
pp. 1058-1069
Author(s):  
Mihai Păunică ◽  
Alexandru Manole ◽  
Cătălina Motofei ◽  
Gabriela-Lidia Tănase

Abstract In this paper, the authors aim to measure the influence of the macroeconomic indicators that characterize a national economy on some key national health indicators. The purpose is to obtain an updated evaluation of the population medical status, under the impact of either growth or economic decline. The analysis focuses especially on Romania but also on other countries, to be able to investigate comparatively national indicators and trends. Multiple data sources have been used for an in-depth analysis, to fit in an appropriate manner the purpose of the study. Static and econometric data analysis software was applied on primary data, as analysis instruments. The correlation coefficient and the regression were the tools used to obtain the study conclusions. We start from the premise that the potential of statistic data sources, combined with the processing power of the data analysis tools would be able to lead to the best result. We have also reviewed the previous studies performed on the same topic and, along with our data, the obtained conclusions should have a certain value and interest not only for current needs and utilization, but also for future researches. The authors are aware of the direct influence between the macroeconomic status (or performance) indicators and the indicators that characterize the health of the population, and will attempt to measure the intensity of this impact on several key selected domains.


Author(s):  
Siti Mariana Ulfa

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 


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