scholarly journals Preregistration of secondary data analysis: A template and tutorial

2021 ◽  
Vol 5 ◽  
Author(s):  
Olmo R. Van den Akker ◽  
Sara Weston ◽  
Lorne Campbell ◽  
Bill Chopik ◽  
Rodica Damian ◽  
...  
Keyword(s):  
Social Sciences ◽  
Data Analysis ◽  
Degrees Of Freedom ◽  
Secondary Data ◽  
Data Selection ◽  
Worked Example ◽  
Data Analyses ◽  
The Social ◽  
Current Guidelines ◽  
Existing Data

Preregistration has been lauded as one of the solutions to the so-called ‘crisis of confidence’ in the social sciences and has therefore gained popularity in recent years. However, the current guidelines for preregistration have been developed primarily for studies where new data will be collected. Yet, preregistering secondary data analyses--- where new analyses are proposed for existing data---is just as important, given that researchers’ hypotheses and analyses may be biased by their prior knowledge of the data. The need for proper guidance in this area is especially desirable now that data is increasingly shared publicly. In this tutorial, we present a template specifically designed for the preregistration of secondary data analyses and provide comments and a worked example that may help with using the template effectively. Through this illustration, we show that completing such a template is feasible, helps limit researcher degrees of freedom, and may make researchers more deliberate in their data selection and analysis efforts.

scholarly journals Preregistration of secondary data analysis: A template and tutorial

2019 ◽  
Author(s):  
Olmo Van den Akker ◽  
Sara J Weston ◽  
Lorne Campbell ◽  
William J. Chopik ◽  
Rodica I. Damian ◽  
...  
Keyword(s):  
Social Sciences ◽  
Data Analysis ◽  
Degrees Of Freedom ◽  
Secondary Data ◽  
Data Selection ◽  
Worked Example ◽  
Data Analyses ◽  
The Social ◽  
Current Guidelines ◽  
Existing Data

Preregistration has been lauded as one of the solutions to the so-called ‘crisis of confidence’ in the social sciences and has therefore gained popularity in recent years. However, the current guidelines for preregistration have been developed primarily for studies where new data will be collected. Yet, preregistering secondary data analyses---where new analyses are proposed for existing data---is just as important, given that researchers’ hypotheses and analyses may be biased by their prior knowledge of the data. The need for proper guidance in this area is especially desirable now that data is increasingly shared publicly. In this tutorial, we present a template specifically designed for the preregistration of secondary data analyses and provide comments and a worked example that may help with using the template effectively. Through this illustration, we show that completing such a template is feasible, helps limit researcher degrees of freedom, and may make researchers more deliberate in their data selection and analysis efforts.

Diplomasi Versi Minangkabau

2018 ◽  
Vol 3 (2) ◽  
pp. 130-144
Author(s):  
Muhammad Yunis
Keyword(s):  
Social Sciences ◽  
Data Analysis ◽  
Social Science ◽  
Pragmatic Theory ◽  
The Social ◽  
Qualitative Observation

Pasambahan a Minangkabau society how to speak, the speech full of philosophy which delivery indirectly. This turned out to be complicated understood by some people who did not understand the pasambahan. In the present study, the authors sought to express the values of the philosophy contained in pasambahan as how to speak the traditional Minang community. As time goes, these traditions are disappearing from everyday society, for it needs a way to preserve it back. Pariaman is one area that has always practiced this tradition. In this study, the authors attempted to peel pasambahan text in a manner which according to the author deconstruction approach is one approach that is very controversial in the social sciences today. The process of data analysis by using some theories of social science (eclectic). Among the pragmatic theory and semiotics. The method used in the form of qualitative observation, the authors go directly spaciousness and interact with competent informants. From the discussion, the authors found ten diplomatic elementscontained in tradition and pasamabahan text. These elements in them, '' opener, apology, positioning/element of certainty, stringsattached, request (permission), receipt, delivery destination, contracts/agreements/agreements, offers, and resolver ''.

scholarly journals RELATIONSHIP PRODUCT QUALITY AND PRICE WITH CONSUMER BUYING INTEREST IN OLE-OLE FUTSAL BUNG TOMO SURABAYA

2019 ◽  
Vol 1 (2) ◽  
pp. 217-223
Author(s):  
Ahedi Syukro Sahudi ◽  
I Nyoman Sudapet ◽  
Hamzah Denny Subagyo
Keyword(s):  
Social Sciences ◽  
Data Analysis ◽  
Product Quality ◽  
Test Analysis ◽  
Spearman Rank ◽  
Analysis Technique ◽  
The Social ◽  
Calculation Process ◽  
The Relationship ◽  
Effect Method

This research was conducted with the aim of knowing the relationship between product quality and price with the interest of buying consumer Ole-Ole Futsal Bung Tomo. This type of research uses a quantitative approach. The sample in this study were 30 respondents taken by the snowball effect method. The data analysis technique in this study usedcorrelation test analysis Spearman rank. The calculation process was aided by theapplication program Statistical Package for the Social Sciences (IBM SPSS Statistics 20). The results of this study indicate that a correlation of 0.877 means that it is very strong and based on calculations, the product quality variable with consumer buying interest has a sig value of 0.000 <0.05, so Ho is rejected, the product quality is significantly associated with consumer buying interest. And the price variable shows that there is a correlation of 0.738 which means strong and based on calculations, the price variable with consumer buying interest has a sig value of 0.000 < 0.05 so Ho is rejected, then the price is significantly associated with consumer buying interest.

scholarly journals Recommendations for increasing the transparency of analysis of pre-existing datasets

2018 ◽  
Author(s):  
Sara J Weston ◽  
Stuart James Ritchie ◽  
Julia Marie Rohrer ◽  
Andrew K Przybylski
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Open Science ◽  
Secondary Data Analysis ◽  
Science Practices ◽  
Advantages And Disadvantages ◽  
Analytic Methods ◽  
Technological Advances ◽  
Methodological Tool ◽  
Existing Data

Secondary data analysis, or the analysis of pre-existing data, can be a powerful tool for the resourceful researcher. Never has this been more true than now, when technological advances allow for easier sharing of data across labs and continents and the mining of large sources of “pre-existing data”. However, secondary data analysis is often ignored as a methodological tool, either when developing new open science practices or improving analytic methods for robust data analysis. In this paper, we hope to provide researchers with the knowledge necessary to incorporate secondary data analysis into their toolbox. Specifically, we define secondary data analysis as a tool and in relation to other common forms of analysis (including exploratory and confirmatory, observational and experimental). We highlight the advantages and disadvantages of this tool. We describe how engagement in transparency can improve and alter our interpretations of results from secondary data analysis and provide resources for robust data analysis. We close by suggesting ways in which subfields and institutions could address and improve the use of secondary data analysis.

scholarly journals The Effect Of Rajalele Probiotic On Survival Rate Of Fish Juvenile Pangasius pangasius, Oreochromis niloticus, Cyprinus carpio

2020 ◽  
Vol 6 (1) ◽  
pp. 88-95
Author(s):  
Marlina Doloksaribu ◽  
Robert Martua Simanjuntak ◽  
Ied Hidayani Parinduri
Keyword(s):  
Social Sciences ◽  
Experimental Study ◽  
Data Analysis ◽  
Survival Rate ◽  
Cyprinus Carpio ◽  
Oreochromis Niloticus ◽  
Fish Farming ◽  
Randomized Design ◽  
The Social ◽  
Completely Randomized Design

The use of probiotics is certainly one of the solutions in overcoming the problem of increasing seed in fish farming. One of them is the use of probiotic king catfish, in this study tested on catfish, tilapia and goldfish. This research is an experimental study. The design used in this study was a Completely Randomized Design with 4 treatments 3 replications. Data analysis used Statistical Package for the Social Sciences version 15. The results of the analysis of the highest seed survival rate were obtained on Pangasius pangasius (95%), on Oreochromis niloticus (83,33 %), and Cyprinus carpio (80%). The treatment of Rajalele probiotics has a very significant effect (very significant) Fanalysis (23.01) > Ftable 0.01 (7.59) on the graduation of Pangasius pangasius, Oreochromis niloticus, and Cyprinus carpio. The conclusion of this study shows that the survival rate the highest in Pangasius pangasius

scholarly journals Mathematization, Not Measurement: A Critique of Stevens’ Scales of Measurement

2020 ◽  
Vol 10 (2) ◽  
pp. 76-94
Author(s):  
M. A. Thomas
Keyword(s):  
Social Sciences ◽  
Data Analysis ◽  
Statistical Tests ◽  
Real Numbers ◽  
Ongoing Debate ◽  
Mathematical Properties ◽  
Psychological Data ◽  
The Social ◽  
Scales Of Measurement

In the early 1900s, physics was the archetypical science and measurement was equated with mathematization to real numbers. To enable the use of mathematics to draw empirical conclusions about psychological data, which was often ordinal, Stevens redefined measurement as “the assignment of numerals to objects and events according to a rule.” He defined four scales of measurement (nominal, ordinal, interval, and ratio) and set out criteria for the permissible statistical tests to be used with each. Stevens' scales of measurement are still widely used in data analysis in the social sciences. They were revolutionary but flawed, leading to ongoing debate about the permissibility of the use of different statistical tests on different scales of data. Stevens implicitly assumed measurement involved mapping to real numbers. Rather than rely on Stevens' scales, researchers should demonstrate the mathematical properties of their data and map to analogous number sets, making claims regarding mathematization explicit, defending them with evidence, and using only those operations that are defined for that set.

scholarly journals Influences on the suicide crisis amongst First Nation Youth in northern Ontario

2021 ◽  
Author(s):  
Amanda Sellers
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Intergenerational Trauma ◽  
First Nation ◽  
Residential School ◽  
Grief And Loss ◽  
Prevention Strategies ◽  
Northern Ontario ◽  
Small Communities ◽  
The Social

Suicide is an ongoing crisis for many First Nation communities in northern Ontario. First Nation youth taking their own lives as become highly prevalent in many small communities, leaving behind friends and family struggling with grief and loss. Despite a significant volume of literature on the suicide crisis, there are some gaps that continue to be seen on the influences on First Nation youth suicide. In utilizing secondary data analysis (SDA), this research explores the those influences in these areas: First Nation people's access to resources, grief and loss to suicide, the effects of Indian Residential School, and one’s connectedness to land, spirituality and culture. I discuss the effects of colonization and intergenerational trauma in relation to the findings. This research is conducted in hopes to expand future suicide prevention strategies and encourage ways the social work profession can better provide services for First Nation communities.

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